# Your Complete Guide to Diagnose Slow Queries in MongoDB

> MongoDB is built to be fast. The real win comes from knowing how to keep it that way, even as your app grows and your data gets more complex.

- URL: https://foojay.io/today/your-complete-guide-to-diagnose-slow-queries-in-mongodb/
- Published: 2025-06-17
- Authors: Tim Kelly
- Categories: Databases, Mongo, nosql, Performance


MongoDB is built to be fast. The real win comes from knowing how to keep it that way, even as your app grows and your data gets more complex.

This tutorial is for those developers and engineers who want to understand how MongoDB behaves when queries or writes slow down. We're not here to hand you indexing tips or premature advice about schema design. We're here to walk through the actual tools MongoDB gives you to observe, measure, and reason about query performance, before you start optimizing anything.

We'll cover the full stack of diagnostics available to you:

* The Query Profiler (via the Atlas UI and `system.profile`)
* The `explain()` method to understand how queries are planned and executed
* The `db.currentOp()` command for watching operations in real time
* Deep dives into detecting scaling issues and aggregation pipeline inefficiencies

In order to follow along, we'll be interacting with [MongoDB Atlas](https://www.mongodb.com/docs/atlas/getting-started/?utm_campaign=devrel&utm_source=third-party-content&utm_medium=cta&utm_term=tony.kim) and [MongoDB Shell](https://www.mongodb.com/docs/mongodb-shell/?utm_campaign=devrel&utm_source=third-party-content&utm_medium=cta&utm_term=tony.kim) (`mongosh`). I recommend you have these both set up before starting. Some tools shown in this will be restricted to M10+ clusters, but I'll highlight where that's relevant, and there should be something to take away for everyone, whether you're on a free-forever M0 cluster and just getting started, or a seasoned MongoDB veteran running enterprise workloads. We'll run the commands, see what the output looks like, and learn how to read it.

## 1. MongoDB's Query Profiler

We've all done it. We run a query. It hangs. We check the app logs. We stare. Maybe we slap an index on something and hope it helps. Or maybe, just maybe, we start guessing at what our database is actually doing behind the scenes.

But MongoDB doesn't want us to guess. It wants to show us. And it gives us the tools to do just that:

* [The Atlas Query Profiler](https://www.mongodb.com/docs/atlas/tutorial/query-...): A beautiful, scatterplot-filled experience in the MongoDB Atlas UI
* [The Database Profiler](https://www.mongodb.com/docs/manual/tutorial/manage-the-database-profiler/?utm_campaign=devrel&utm_source=third-party-content&utm_medium=cta&utm_term=tony.kim): A raw, firehose-level stream of operations you can tap into via `mongosh`

We're gonna use both.

### What we'll need

Before we get started, make sure you have:

* A MongoDB Atlas cluster (M10 or higher).
* A database with the sample data loaded (Atlas makes this easy—click the "Load Sample Dataset" button).
* Access to mongosh (or your preferred shell).
* Permissions to set profiler levels (`atlasAdmin` or `readWriteAnyDatabase` is fine).

### What is MongoDB's Profiler?

MongoDB can keep track of which operations are running slowly and log them for us. We just need to tell it what we care about.

The MongoDB Atlas Query Profiler helps diagnose and monitor slow-running queries using log data from your cluster. It aggregates, filters, and visualizes performance statistics via the Query Insights interface.

The Database Profiler is more granular, capturing all operations that match a profiling threshold and storing them in the `system.profile` collection.

\> Note: Changing the profiling level via `db.setProfilingLevel()` does not affect what is shown in the MongoDB Atlas UI. Atlas uses its own internal logic to determine what is "slow" unless configured otherwise.

### MongoDB Atlas Query Profiler in the Atlas UI

Let's check the Atlas Query Profiler now. It is enabled by default.

1. Go to your cluster.
2. Click Monitoring.
3. Head to Query Insights -\> Query Profiler.

![Blank Query profiler in Atlas UI](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAqUAAAFzCAYAAAAHV3CdAAB1OUlEQVR4XuydB3wUZfrHTz3Lec0reuV/Z8PG0UUUK4oNKSKCiKgUC1JUkF6lSC/SERCQIkW6AoL0Tugt1EASSCC99xB8/vM8m3cyO7tZsmHf7AZ+33yez1un7OzszHffmZ38JudSLiGuPgAAAAAAQPH5jV2uEMULAAAAAABQfCClPgoAAAAAAFB8IKU+CgAAAEUnOi5W0sPHgulQfuReuiRpUnKytB04cpgu5eXR0RPHpRwXH08Hg49K/vyFC44ZGeQZfXxFSlqarEN6RgalpKZKnufP63vg6BH69ddf6VxkpPTNyMyk/cY6cl2qMZ0iOtbx2oDv4fcgKcWxfyQb7w/D75FK+b1Q74m5X+XmmvlTZ86Y/dQ0HPGJCU7lWGNf4zQrO1vqAxG1rkkpKWZdQlKipPw5iYmLM7cDf16Onz4lbecvRNLly5elPi093ZwPf85UXs0/ISnJnPfp0LMUfOokRUZdNPvxfs/vCZOdk23WMfz54G3P8OdJvS+ZWVlOy7ECKfVRAAAAKDpbdu2U9OTZM5Lnk1VOTg5lGSesrUG7RDgyszKlz449u6U9Mf8Eyf1PnT1rzuOSIbO+gk/CPD+ed3xiouR52SlpqZJynAgJkb4nDcFhuG9CcpK5PuGREeb8gO9Q2/diTLSk8QkOkVT1nO47fEiEi+H3Sn1B4C8YXOZ2JWoMSyqj5slfkrg98uJFSXlfDFSCDuyXdYxNiDe3QZTxOlSev9zxtogxvlDt2LtH6rYbnyUOrmcR5zxj3YZK2FkqebsprNtiz4EDkoZFnJeUp+PPK09rnde23UGS58+M+vywCGcbn3V3QEp9FAAAAIpOqnGyO37KMXKjTmgspTxCFR0bQzm5uTLKwm0spSyHfDJT/VlKGT4x+1pKo2JiKDklRaQ0LSNd5s8n6KzsLFm2ktLw/BMyn/BZShk+CUNK9aBkR43EuZNS3o94P9m1f5+TlMYZ4sb7E0spjyIqcbVL6YGjR2V0lKU0MipKRvgClSDjNfI+yVLKbDf2PZbSbfnyyPssv84L0VHmPhsSFiop1+89dNC8KmHfhmp63hZKUvkzqWReSWlsXJykLLc8HY9i8+dG1SkpDY+IkJFUFlt+f/hLnjsgpT4KAAAA3qFGb/hEyMFSmm2cBE+dPSOXzLmOL0GylDJ82ZxPatympJRPyr6WUp7/oWPHDJFJkHXg+bOAbjXyfIuBOsGzFHE7r7OS0jzjZA8p1QNLEW/vi9EOgVT7TaYhT5yydLJsOcQqy0lKVV+WUkaN+tmlVPVjKWXUJedARK2rklK+1YWllPdffn08isnbIzY+TkZFedTTKqXqlgU1L+s8VT4ifzswx4wvkUoylZTy9uV+/N4omeVL/GoEluHL+/xlU70vLKXW5ViBlPooikvjcX3oN61r0y3t6kn6h8/eoMv5H4AHuzaVuquZvy74wMzrBgAAAADgCyClPoriwFI37pfFTnVlejSnKv0+Mcvch795+4KsXPf3cHjLc8M7yXpBSgEAAADgKyClPgpvualNHao5tIO9WkYgbzTaFL6UUl9LpK/nBwAAAIDrF0ipj8IbYlISiyx0Vin9cvG3LtNNWrfUpY7Lf/niLbrBkNse8yeZddawMm3zShHhP3zeQNqsr6fT3PE0dMX3tPrQLml74etuZpt9PgAAAPwHD2rwfYWBQnqG4x7DQGLX/oP2qhIhNt7x4x/gGUipj8Ibxqx3FcnCsEppRnaWy3R5l/Oc6l4d24tmb1llln/btq6Zt0/LvDd5EHVd4BBXBfdT97WOXb2Qag5uTxPybzN4oGcLp34AAFBcbri7HN18f0V7Nd36QBVpi7jo+PGJnVvKVLZX+ZzQcxE0de4iyXcbMsrtI2wiLkTRsVMhtP/IMVnf2x+u6tS+73AwHTnheMKAJ/5U7gl7VZH47MtBTuW/VnjSqewP6rZoI9uCueneCrbWq6Pb4FEUfMrxIzPFjfeUl5SX2XXgKMmvWL9Zyvc99Yq1q/Bx176SJiQly/pxvxMhjh/N6eKuys9I2qJjT1vL1cHrbo1rgUKl9OM5Y1xG1+x9EAXhDc2/HVJkobNKqSrbsdZVH9KebmtXzywfCD9t5q80raL59OH0xpgeZtldH6awegAAuBJ/+p97EftbhafM/B8eeczS4uD/qr1AWdmuguhr7Cf6L/oNlbRVt760eafjl8U13mouqbVfz2GjzXxJS2mj1q63hOnkdw8+aq8S1PZo32+IreXqYCm1im6VWg1NKWWUlNZu3lrSvLzL1LbnALM9+GSIPOKIfylerW5js57zObm+e4KDHSWlf6/0tK3l6mn0Scm+57opVEr/3eWdIknp1lNH6O+dmsiIXEJ6qtRx32X7tkr+rs7vSNtdxvxUW3ZujuTv69GM/tX1XfrjZ2+Y87O2c/5fXZrS3O1raPqmFfS3Tm/L/OzrEAjhDfP3bCqy0Hkrpcxtn74udZ3nTXCqt/eLSU5weY+tobBPpyisHgAAisJtD1RxkgrGKnhNP+tiaSFq9kV3af/cJmO+hh+X8/W3s2jZmvUUHuH4z1FqvayyqtIqrzWkNz9u7/LoICWlOTm59GT9ptTgo88oNj6Bqr7WiIZM+Jaq1m4k/ZSU8vwmzpwnsqfEisV82MRppoxFRkXTnVWepa6DRtE/jFTB67xhu+NxPbxNV23YSjff5xiFfuT5gt8pPFTD+bg9a+FySXl6++viZa7etI1uyn+P7nnyJTp07ITMf+6ylfRbY/4fd/3SMSMLanoejfQlLKUMzz/0fAQNGDPJRUr5sVBrjHVWPGx57V3zp7/94YIvO9Gx/FzceIpPTJJtcIfxXiz4aTXd+oBjNJ6X9eQbTel/L74uI+OMbJeN28xl8/bl94nfb37veo8YR381vlypkXMlpfVatJHUl1iltMJL9emFxs3lsUsLfvxZ6qrXayLpxFnzjX30c3rn0y4044el5jSBRqFS+vigT+lcfBRtOLqHjp4/Q/N3rnXpw8FSuj/0pORZPjmtN66XCIvqU7H3h5LuOH2EVh7aafSrJ2WW0n4rvqe/dGgk5fG/LKawmAv0/JAOUuZ5dFo4VfIspS2/G0m9l33nsg6BEN7wq/HnSeiGrf7BzHM/b6WU4XX6vSH7N3iQyyTjS4S9zh2F9SmsHgAAroRVJs6GOx5Cz3iS0rfbdpL0QPBxik3Qd4/ev6rWoG/m/CCh1udPZR+n1LR0Wrp6HbXu0V/qar3XypyGhbTyqw0MMSz4rzdWKZ1kSAHD8xsy8VsJc96GCCUmp1DQgcPmtEpKH86XyJCwcElZBBXten9l5vle0mOnz1BKahoNGjfFXMaOfQfdSimLlRLdJwxxadKuk4w8MizPvD6DxhfM52DwCdn+TQ2pYelhrCOlPK8/lq0meet76EuUlMbExdMtZSpJ3hspbdbBcQXQut78JYHjcWMbvPTOh+brrfzqm9JufS0vN/2Ips1fbPb5tM9AqVfbl2976z1ynNnfLqWf9fH9lymrlKr1cCel7va7QKRQKf169QKXkTN7Hw6rlN7RoaHELYacsgxl5mRLvZJSnge3qXmxlHLKj0By134o/BSFx12kuzo3ESk9Ex1BGTlZLusQCOEt5fq2opss93sqLibF0V8/d3wYmCtJaUR8jFNdmzljLK3O/e3TqrrEtIL/m6toPqXgw+NuOqawegAAuBLWE+Mvm7eb+dsfKrgv88+2y9r9v3bc/84ScSE6xqnNlzyff1meadymo6THTodQ+RdfN+vLPP0qncmX6TLP1DLrq9UpuCxslVI1iml93WfPOaZnKc3IzKIx02ZLmR9+rqT0mYbvSxpx0TFK989HC0ZHn3nzPTPPTJm7UFK+z1XBP356pkFBP/tIKcPr9If80UNeh9z8S9lnws6Zfaz/oOAv5atLeqXL9zv2+vZHRUpKrdillGnc5gtJ+YtC8y8KbkWbNNvxxYC3da33C75QVDZknLf5e+0LfsjLo6eM9f1iad1t+eLAtwIwVumv07xgNNQupeVfqm+2+QqrlL767seS8heUsTPmSF6tv7v9LhApVEpZmG79tD7N27WOvlr2nUcp5bY7O70tZZZR1aamUVJaZ3wfSVlWa43tLVLKff7TpSmFxV6gGZt+lPaQ6PM0ad1iqvjlx9J+4kKYSCnnC1sPf0dxuLNTE7rV2M68PRj+APHrqzHU8YHiHYvLfJldcUPrOtRvyXTJJ2ek0X3dHdtQrcPNberQ4fz7SNX8FJxvM/Nr6cuPpGIW7lwn9X2NefL8jpw/6/RIqiPnz0i7/bFUFxJipT410/Fv/wAAwBv4hM5CoUb+HnmhrnmS/92Djsv6oecjpawuH3/U9Us5uZZ5tkACfU3DVu3tVXQ61DFKeVflAiF0kuot26VsH4FyJ6UMyxz35XZGXb5v3WOA1L/87keFSinD0/P2sY6UMko4Gxmvgefzz0efkzLfQ8nlu5940a2U7tp/iLbt2S9562t47f1PpPx/1Z6X8rBJjlE29YOqM+HnXF4zo+qerP+OreXqKKqUTskf4bb/8Isvz6tReR5t5Wk5Dh07afb5S/knZVp1D7H19bGUMg8a25Dry9Z0/H7DKqXzf1wlbfc++bKLlNpvVfEF7qSUudNYJi9PjZQy/KNCrgvEpyIoCpVSjnenDaWHe7aQCDWk0d6OKIjikm0cLN6ZOpju7vKOjBifvljwDabXj7PMsNJ4ykC6t+u7NHmD414ge58PZo6i/3Z+h96a7Li0oGBJfWrw5/TMEOcbo/kX/HXG9qL7u71HXRZPc2pztw5hsRfd1gMAAPAf3YcU/MgqEGjw8Wf2Kr/DX3j8AZ9/j592/EtTUDgepRRR9AAAAAAAAMUHUuqjAAAAAAAAxQdS6qMAAAAAAADFB1LqowAAAAAAAMUHUuqjAAAAAAAAxec3EXlZhLj6AAAAAAAAxQdS6qMAAAAAAADFB1LqowAAAAAAAMUHUuqjAAAAAAAAxafIUrr5/CmXOkRBAAAAAACA4lOolPL/sL+rQ0P5/+bnL2VKau9jjV7Lv3Opu54CAAAAAAAUH7dS+vLobnQ8Nd6pjqX0aHIMdV02g44kR9PgtQvpH13eoRvb1KXDiVHSznEmK9UQ2jp0Q5s6Mt3fv3jLbLvRqDuZnuiyvGshAAAAAABA8XErpTVHdjGlNDQ7jY6lxjlLaZJDSsv0bEE3t60r5U/njpP+vzXKSkLP5WYY7fWk/k+fv0G//+wNOgUpBQAAAAAANtxKqbpcX25AG0nDctLNy/e/bVOH/tT+TZFSvsQ/fssKqjm6Oy0+GkT39mpBLb4bQTXH9KBb270u/e/s9LakPP3wtYuo2cyRLsu7FgIAAAAAABQft1KK8D4AAAAAAEDxgZT6KAAAAAAAQPGBlPooAAAAAABA8YGU+igAAAAAAEDxgZT6KHSyfXcQbdm1k06dPWNv8hqej7+JuHhB1oMjMzPT3uwW63qraTl27NkdEK+J4fVIS093Kl++fNnSw8GlS5fsVRR88gQdOX7cXl2iqG2akppqbxLUdi7q9ra+zqJOU1Lw+7I1aJdZLu66hkecl/6HjwXbm7zGuj46SUxMpFfq1pc4HXL1xxQFz+9KvFb/Tdqx0/V12qfl96eoxwZfofb/C1FR9iYneN243/kLkfamEmf/4cN0Idp1fd3tw+kZ6bTNOJcEAmpbJyYl2ZvcUtix1B/wcZrXJ2j/PnuTCbfn5ua6fR888euvvxZpmpS0VAo+ddIs83RbizCdTkJCQ2XdeR/j9SkK22zHPJ7+N+mXcghx9aGLrbt2UXJqiuQPHD1CR04ULi72HcGd/FjJzNIr04XBUhp2/rzLBzA9M8PSi+RDrbB/ULcbMpqVne1Ux6jXlGV7bekZzvPWgTrQMvuN98p6IM3OKdhH7K8lLy/PqWx/H1PT0pzKOuB14uW6vCc2ybamTIZtu1rX1f46Fdb3lcm2vI+8fHu7DlgAre+PPa+wvzcZNlFSffcdPmTWWbcZk2N57+2kWvryOul+7bx9WQB5nVQ+JcVxfHGHXQyTPfS1imVCorNsxCckOJWZiMgCqVPTqu0dYshyzy/7me0nT50287pwt39nZTsfR3KNYypLoFVIU9ML/3yq997+vtqPT4x1X1OfRUVhQmY95jBqmsI+ewrrZ46x79e64eM343SssR1LrK/Z+vn0RFH6XA38JeDkmRDJR8fGOH2RtG5Td9s/M8t5G7vbB/YcPCDzLOzcrc4jSkrtx5rCuFxESSwuPGB24MgRyfPrdDpH5L9uu2/wZ8OtlOZcyiXE1Ycu7Ds3l/nDEBIWKgegnfv20rFTp2SnCD55ks6Gh1Po+XPS75ix06rpeWfng571wJtmfHNW367sB2T7cn2JdaT0YPBRqeM876TW5Z+/4OinylasUqoODNyHXz+nahmqvjjfWr1FbVP12jjUqAqfzDmNT0x0rOe5c+Y0+48cltcaHRsrI6Zc3rl3D50IOW2u8449e6yL8jnutg3XhZ5zbE9VtqfW7copjzJxGhsf7/Q6+dszn9C57tjpU07TnDNO8JwqIeb9OTLqorTrgpfDJ8Fd+/eZyz0THma2qZTlw1pOMaQ7aP9+NRsZLeH6vflSynn7Nomw7cc79jreS5m/bT+1Lk8HW7fvoH6DBpvlDZs208Ahw6hHn750NPiY1DV+txnt3befPmjVhtZu2EhNm39gHDsuizi2avc5NWzyrhxLxkyYROs3bjLnxe1KdJf+tMIUTU7nL1xES5b/SHXffEuuJtRr2JgGDBlKrxtp7/5fSZ9O3XpKGmN8DoZ/PYaafdiKdu/dJ3W8Td98u6m5LB3wdmc545RfBx9X+EsXl0+HnpWUj6lHjh+jQ8eCjc90stSFn3eMlqt5BB1w7B+cPxcR4Ugjnfcj+36199AhWV5ScrIMPvD+tMs4tp819kk+docan6M9hw5S5MWCzwXP41xkhHlsYFHhq2pHTzhG8lhsrMtg+Lhy6swZikuIN6fjtjNhYU59+bxi/3LsS3gZHGrkVrZR/jbhzxgf33k7c5qUnCT1aYb8W4/1DE+vzmt83OTPs5JGHajlWsvq+GH/nPOxn7e3alfnZXWVhs9f7ubHqO3Cr3+3sT/xa+RpjuefE/i9ts5T9eXj7wnj9fPnhcuhxr552NiO7Av786VRB/bXoeB6NYJqP59bt5e1P6TUR6EL65vGI6bWN5V3UrXDHwoONoN31IvR0dKPv1nxAdQ6nUpVfz4Q8g7MUhsdFysHOt6JdaFGStUHk0WNP3hqfZg9Bw9Kyh9qxr7zupNSvpTP2F8rf8Ct89aFWp5VtJWUWpdvfS0qr6TU/jqT8mVW96Vd63L5BGz9AsP7RVr+yVn1ZcHkk6Z6XeqgacU6T34PTp89a35bVm08D2uZT8ic5y9euuD3h5ehguHUOlLK211dklcnCHVCOHzMIW9MovHZYfgknmacTDm1vte7DaFgrCdfhkfXWM6t2E+4OmBRYSFkar3+BjVo/A7tMQS0x5f96MDBQ3IyYyn9rGNn6tC5K3Xq3lOCpbT5R5+Y82n4znsul9ytUqrKTMeu3SX/48pVppSqtpiYWFNKme9mf0+bt25zGildvmKltLMM64S3O38x4dfAgrTXkED1XvJngi9/MzxSGmG05xn7ixrp2Wf05X3b+t4V9oVf7Qu8r1vr+bYKJbFWuKzWg7+0WutVqC+B9pFSXocQY92VzPLxVEmRfb1OhoTI6J19+TpQI6X2Y3aYce5iKbWvA5e5rxqpt6679VjF2I9DvoSXo8476tzLqf11cGqVUj6/qXo+ZvAXDfs5SQ2oqOB3Um0nHqCITyy42sBSejR/X1DLtI4+c/BnnddLLUfn+Y+3eYLlVgz+vDD8OhnrdmHsx0UFt0NKfRS64Pv7+I2yHkQYdV8LExMXJ28u75R88GEpjYopOKlzP1W27hz8QVHl5PzlqDad35KVlDLWZfIObC3zt177zqzwRkrt89aFff5cVicAHj1R7TxSZpcUJaUx8XFyouN6PgCz5PAIgH3evibW2Id4GRxqe3LKy3e3PVVqf8/UyCHD75E6UKr7jLiN69TlbquU8h7HKb9eX9yjWRjWbckjRHwy5hEpuxRyat8HWUitJz21vTxtE/s8rNNym3V72/vo4NMvOovkqXinWUuKi4s3JLUBvVrvDZFSvg2D25q834LadegoUtri4wIp5ba+Xw2yzLVwKeWUJbe9IblKSoeO/FrqeXnupFRNN3vufHqtfgPq2K2H2UcX9u3OZXWM5JOsusStpFT14X3Y3ftrfz+vtE8oKY2KiTb3Kd5WfEznYxvXKTHhq0pKdNQ8lJyp3yAw/D5a14klKdxYhvqcqhFhrrevj054GSpUWW0TllKWMD5mcFmN+Kov+PyFmI+hqr963Xzc5NdS1EvaxYEvg/Oy1PvD5yCRUtvgiVpfd1Kq0t0HHJfqFaqNSUpJpoNHj5rHT3Vs5DLP03pPqZpO9T1w1PGlm+EvGbwMXj+dI8gML1MFD24xanDJ+rpVav0MKLgMKfVRAADA9cLVCiLLKIvV4qXLac3adfZmALzCLjeg9AIp9VEAAMD1wsgxY+1VXsMjrVOmzbBXA+A1x0/r/yEcKBkgpT4KAAAAAABQfCClPgoAAAAAAFB8IKU+CgAAAAAAUHwgpT4Kb4hOiEMgEAifxW9a10bYwr6NEAhE4EehUsof6opftXWKdvMnufTjWLRnMyWkJUt+e0iwhMoHnT1u5lV/lQ+OCJU0MT2FZmz9mTJyspzmcfj8GSnP2rGWUjPTXZYbSAEAAAAAAIqPRyntv3ia+a2T69xJaYspg+hcXBTd0+UdKY9cOY/ORkea8zgTHUF//rwBnYuPouEr50r9jW3qSPr66B6UYsjm/b1aGmKaSjfk1/N0PI+I+Gh6oPcH0uf/Or3tsuxACgAAAAAAUHyKJKWqzp2UpmdnSp9/dGlqTqemUfldIUfN8ogV31NUcryUWUpfHdrBZZ5qupSMdIpNTZL800Pau/QLpAAAAAAAAMXHo5TuOHvcKdxJKY9gRiXF07+7vivlib8soThDJNU8FgZtpN5Lpkn5k5kjnSSXpTQpI40qf9WWUrMynGSW58GX9f/esTElpac6TReIAQAAAAAAio9bKd0fesIcrbSHvS/HkFXzaGPwPskP+2WRhMpzOn7DcrPvgqANZn7x3s2ShsdGUfsF31CaIabWecwNWi/lXstn0uHw0y7LDaQAAAAAAADFx62UIrwPAAAAAABQfCClPgoAAAAAAFB8IKU+CgAAAAAAUHwgpT4KAAAAAABQfCClPgoAAAAAAFB8IKU+CgAAAAAAUHwgpT4KAAAAAABQfCClPgoAAAAAAFB8IKU+CgBA4HDD3eWcQtUxqzZssXZ1i+pbGD2HjaY+I8ZJvm6LNpSUnGLr4aDCy/XtVQBck4yeOsv8vN14T/krfobsqGlDz0Xam/yGp+PIkp/XWru65UrbYP7yldLn5vsrUt7ly/Zmn3BXlWclLWcci9TreKFxiyuum7+AlPooAACBg/WA+7sHHzXrOH/TvRVoxbqNtOfgEbrtgSrStnT1Olq86he6nH9i4L5/qfCkceJZRy82aWnO6/ePPCYpSyn34f5KSlt80ZP+Xe0Fs++tD1Q2pfRUaJi5LNV2MSbOLANwLXD05GnqO2qC5NXn7qV3PqS3Wn9BD9eoTRNnzpO69z7vRndWesacjvlfzXqUnplJ5V6sJ+U/PFKNRn87m6KMzwnP6+EadWjq3MXSxlJVr0Xbgr5lH6MO/Yaa8/IVno4jLN4jJk831i/W+GxXlmPB+QsXafr8JbTn0FGz771PvUzjZsylT3sPpIiLUVJ/+8NVJWUpXb9tl9mXqfDyG9Rz6Giq3by1LEct96Ear9GjtRtJXnGb0TZm2mw6HnJW+lWp1ZAGj5sqbY1bd6S6zduYUspsDdpHP6xYLXnuf8KYbsFPP9Pfjfdi5sLl9LdKT0vb4ROn5BjlDzxK6cmzoS51a7Zsd6mzR2JKCg37ZrpLfVHjubeaudQFegAAAgc+wIeej5QThX2E47lG75tlFYsMId0StNdpeuYh40TK8Ano1jIFB2mW0pCwcyKp9z/1ikjpzn0Hpe3BZ2uZ0/PJmLEu69ipM5J+0r2fOT8ArgWsUqo+A1Vrv0V/Nb7gqbptu/cVfB6Mz5XikefrmNP8+X9PSHrEkKOL0bFmPX8ONxuf01+27JDyA8Zn7W8VnzLnxzLlS3iefBzJzs4x10GlvL6qrOJc5EWaNt8hzta+VfNlksvWL6d2KR1tCGZcYpKUX2r6odmvWt3G5jI69HfI938frykpH7eOnXYcUxiWzbCISPp23iIpFyal3P+4Md2MH5bRPGM99h0OpvuMY5lqU1HSFCql3y9bISMKqjx9wVJJl/3i+H/0mTnZTv2zc3PMPG9MTms0csiltc1TqH4PPPuaS1ugh7fwUP3Wvftp/9FjtD/4OALhGsa+sWPfAbqUl2fffcAVsB5M7ScTTpevWU83GSe4v5SvTv+o8pxI6aFjJ52m4eBjIFOzyQf04HOvme1KSpkb7yknUqqmiYqNozc/bi95Pok6+pSnfz76nIyaVKvTmOq1bCvLB+Bawp2U1mjcnP5uiKO1Tn22Vq3f7JiQHCOlly5dkrbomDizj11KJc3/rLGULl293iz7Gus8reuu0iETpso6/uPRZw3xfkqkdMW6gtekjglqvVt17yvHHIW6fM+xacducxrur6SUy9k5Dim2rk/Q/sNmX6uU3v6QYxRW9b+SlC40ynyViI9/Dz3n+BL+2/sq0r8ee57KPPOqOW1JUaiU8oZLzUinCzGxkk75/geRRpbS5h17UnJaKtV6r5X05RXfvGuPOe277btS7WatJT/sm2lG3zR6Nb/vq++3oozsLNkgXH7P6JtlzLfX8DEUEn6O+owaJ1KampEh62Bfr0ANb8jIzKSwyAuUlplBWYbcI9zHqo1bafjk6ddtTJm3UPaRcxejKD7/2zPwD3yg//XXX+3VAIASJtcQ13uefIl+3rSV3u/Q3d4c0JR/qT5dvozjiCfcSunpsHC5T4rj9w9XlTrrSCkPP1v7R0bH0B1uBJLF8+b7K9FyYxqOTENGL8bGmm2qX9DBw07TqZHS5l/0cJlnoIY3sHyzdNnngSgI9S0PUU72ldDIwLn5/3qERz8BAIFBRmYWRUbF2KsDHhxHroxbKeXLSiq/dtsOuVR/S5nKFBkTI1KakJwsN+q+3a6j9Pl7paflRwFqmv8+8aIMKR8/c5YSUpINsX3MHPW8p/qL9LuHqsrJ1rpMllq+v4RHUa9lKeXRlsTUFJfpEQUxac4CFzG73iM5Pc38EQ4AAABwLeJWShHeR1FhKeVbE+zTIwqiwqtvukjZ9R7pWZmUdxn3lgIAALh2gZT6KIoKS2kapNRjQEpdIyMrC1IKAADgmgZS6qMoKleS0o+79DbzHfsPdWkv6WjXc4BLnQp+ZNih4ydd6rsPHuVU5lsy7H08xdVKaVyC40dB/Jw2e5s3kZKaJvMZPGGqS5u9H9+e0ir/ET/2dl8EpNQ7+IdhS1c5fmUKAPAN/EzOYROm2KtNfvplPQWf9O1jmXQzbtp3VNhvGLOysmnukuVUSDMoJglJyTRikuN5qnYgpT6KolIUKf1uoeNHZUpK+REOEVHRFB0fLw/5XrZmHcUnJcmzxfjJBdxn5frNtDnI8QSE7Xv3yyNvOM//deL7pT9Ranq6lDfuCJLnKf60dqOUeV679h+UfGhEhMzTuj4spZHR0XT+4kWKiouTOn5cWOj5CEpJS5P14Dpe5y35y2cp/e4Hx2vgR01M/n6Bmd97JNhp/u7iaqQ09FwE/fbeCpLvNGA4/feJmvTlqPFS7jpolKT8MOdeI8ZK/uNufamVEaoPB/9CklOWTU759XLKz6zkx5ZwKFHl6SbMnCv5O8o5nq3H+bot2soTJVQfXo51Pb0NSKl3nAkLt1cBAHzEqvUb7VWUaRyjSiujvnEvSEeOnbBXAR8ybd4CexWk1FdRVK4kpV/0G0IzFy6jhOQkkdLhk6bJo7j4P8KcOHOWWub/+Ou9z7pI2qZ7P3nWGfc5d+EihRgnY27jRwlxe7PPu0rauntfEdOzhkxyXy5/NeYbybNgxiUl0jxDvmSePfqZ68NSeuDoMYpLTKT3jXlxyuLKghxtSGpoRKS5Lt0Hj5S0Zceekn7UuZekR0+dluUMHDuZYhMSXF6zPa5GShlrueugkWZdYnKKPJS50ScdpLz38FHaf+QY/fa+CiKcFV9pIN/g1LQspeERF8zp+WHEnPb/eqKk/GgSTsu/9Lqk91Z/yezL/1mDf+y3zPhywNx8X0Wn9fI2IKUAgEBh2IRv7FU0avI0e1WpAc+C9g8j3XwZgJT6KIpKUaSU048693aSUr5U7k5KP+zUixb8uEr6pKSnGZEu/81h484gGd10ldLzLlJ69tx5ijek9Kf1jtHTYyFnzPVRUsr55h26iexmZGXK8u1S+nmfgZKqy/cfdOop6c4DB2U5SSkpxmtyvD5PcTVSOmjcFHqy/juSZ265v5JcmuEy/3r9z/97XJ6Zy+UqtRuJlKppGR5FVmU1UqqiWp23JP1q9CRJc3MLl9J7n3pF0nIvOf7NpHU+xQlIKQAgUBg6fpK9ioZPnGyvAsAj7kaoIaU+iqJyJSldvWmrmV+zeZukC1eukUvoPDrJI29cx5flOeXnv3K6asMWWr9tp+QPBB83L8M379Cd5i5bUXD5fuduuVzP//tbTb/rwCHJh0dG0pwlPzmtz8oNm2XZnOdbBzhdZKzPjr0HnC7fr9u6gwaMnujIb9vhtG48D05XrN9Eq/Nfk6e4GinlqNmkJU2aPV+EtPeIcXI5f9TUmdR54Ahp5/9lPmDsN5L/qMuX5nT8r+t4dFOVuwwa6TTffz/2vKRla9YT+VX1d1V+RlK+fM/L4zz/84j++fKq6q4mIKUAgEABUgp8AaRUYxSVK0mpr4Ol1F7n6+BbC5q170Yz8++Fvdq4Wiktbpy/cNGlLlACUgoACBQgpcAXQEo1RlEpaSktjVGxln+kNJADUuob+FaTDzr2lODbY5i8vDzKzs6x9XSFfxzoCev/8R45eYalxZXc3KIfMwAINLyV0oHjJss/4FH89/GallaS31GUJpq07STBv87n28KeeL2J1Dcrwr89feT5OvYqJ+YuXSlpcv7TX65lIKUao6g4Hp7vuJSOcB9b9+x3kbLrPdIz8fB8X8AyquBbXBiW0pGTp5vl+ctX0emzYZI/GHyctu7eJ3mW0r2HjtLKdZukrE4aS1atldSdlEZejKbZi5ZL/tKlPJryvePXpuNnzDGXN3mO6y9QAShpNu3YTc/Vb2KGJ7yVUua9z7tJ+mHnPhQdF+/U1r7vYLrtwSqSf799d7qz0tNO7cXF+nqGjHX9cZYviI1PECnlH/jysbrPyPHUf8wk+c+WZ89F0PI1G6hq7bfM/vc++bL8B8whE6aa24Th2/UYdcz/bpFD1Bt89BmVeeZV+fFs5VfflLp6LdvKf8G0MvrbWdRz2Bhq3KYj/bncE/Iv3pnx38018weDT8jvKibPdhxzPuneT24/S01LN+fjC/5ToboZ67dstzebFFlK+X9t/+GRx+jdzxw/kvFV8LMc7zQ2gL3+amLXgcOUmOL/f9tZVPh5Z3HJjvswEYWHXcqu5+Dtwf+a9nJhD9MDRYafIDF43BQRUR41ZTi/3fgixChpjYyKlnTwuIITrXWkdFvQPrk1huHHsTEspfzDRI62PfpLHT+tguHl8tMt8i5fllHS4BOnpX7avEXyRZWf5ACAv3nprWYicFcayfdWSus0by1PNlm2ep38sPbgsRPmZ4wZnv8l7q3WX4iU+gr+bBVFsr0lNj5RwpF3SCnD/3KdqW283jY9B8i/TmcptfJwDcdI6bR5SySdMnchPWQZPe09fKykSkr5uM+3ljEsvJeMY8VHXfrI/NmnFMO/mS7phegYSW8p4xDRrPyrQPx0Hn7KDMO/CWHe+PBTmY9dcK8WHkFmIS37pOPHv4VRZCltbRxQOb0YE0NhkZH0R8Os+dffO/YdoBUbNskvqfnZjZnZ2dKPH61z7HSI/Gp7y+69tDT/By7TFix2mu/rH7STlB+Psz/4OG3bt1/KawyT5l+Kc55HEWct+dGcZtfBQ3Tk5CnJ7z50mA4cOy75xT+vpbikJLmsyeuzc/9BWrx6rQg1twcdPEzHz5ylkPBzTuugK7whNT3N6wfKI67fyDT26SRDSsHVYx0ptUopP3WB4UesMWnpGZLyqKmCpZRPchzcn/tMnfuD2e5upPRC/omX77lWJ4tWxgkl+GSI5M9fiJK074hxkgLgb7YG7bVXueCNlPLnhZ9han2OqX2kVF2+b/hJe59KKROR/xnThVVK/1T2cbmcz+LJYwj/V+0FFyll/2HuqvKspI/Xa0Jjp88x28dN/17moaSUiUt0/EOYQeMd/7ig2+BRctziZ24rVq7fIimPRF++/KsMaFg5F3lRRklTjePWXys+JXU8qsrvj3Uk11f8snGrvcqFIkspx1vGytZ8u6XkeaiZUzVqwyOenN771MsiokoE3/m0s/x6mfM33VtB0qaW0dYyz9ailp17idA++UZTqftj2WqSskBy2rqnQ4ifa9SMxs6YI/n45CSJNz9uL48h4gfG8y/GWTz5ge6ZhuCp5d1aprL8wpxFlctdBo0wl68zvIXlOyEl2Ugz5NIsAmGP1MwMSkxNppT0VPvuA4oJPyVCoS6XqRHoH39xnDxWb9xCp0MdD98/lX8Zn+F/zHDs1Bnaln85nxk9daaZDzsfaeb3Hz0maYxx8lUjrDxKOm+Z45I98+Nax/LmG3U5VxiZAiCQ8EZKr1fiEhwjqe5Iz3B86WX4n7fYKco/IsgwzhGFwcLqDiW/n/YZaNYlp/rv/FJkKWX75pQfes7pX8o7pPSv+XL6r6o1REQ5gg4dMaezSmmlVxtIysPYql2NlHIoKVX9lUQOnzxd0u5DvqZ+YyaZy8nOn27s9NmSch0PjSspvavys1L/x0eq0eotBY8dClQpZfhUyCdEBKKw4G+xIDD54cef7VUAXBdASn3HPMvVGN3wF+P3O3T3+T2kxaXIUsrxVIN3TUH8YeUa+mbOAqrboo2UWQir1W1MscY3AS637NSL+o+eKDf3Pt+4haMu/7/5dM3/Lz8cPYaONvNtehX8T/WaTT6gxT//IvnzF6Nk3qqtUesvzNsJ2O5ffb+V5Gu81ZzGGILKl/B5fep/+KnU18pv/3raLFq/PYiGTPzWnJfOAAAAAK4HIKXAF3glpaU5eNT1b5Wepr9VfMqlTVcAAAAA1wOQUuALrhsp9UcAAAAA1wOTZ39vr6IdewrutS5tFPbYItw+pRd3X2QgpT4KAEDgMOm72fILVgCAb9mwreDHgnYmz3KV1UAnJTWNTp0JtVcLU+fMk/swge/Zd/iIW+mHlPooAACBRXJKKh0+fgKBQPgoToeG2T9mLpyLvOAyXSDHlaSTH/12xM10iOLHyZCz9s1sAin1UQAAAAAAgOIDKfVRAAAAAACA4gMp9VEAAAAAAIDiAyn1UQAAAAAAgOIDKfVRAAAAAACA4gMp9VEAAAAAAIDi41ZKK73SQP4jEqfHQ0KkLj0r06UfoiAAAAAAAEDxcSulHK17Ov7f/Lufd6X/PF6TLsTESPm7Rcvoz/97nJ5r1EzKT7/xLt1d/SW6pUxl+feed1V5ljYF7ZG2Yd9Mk/RPZatRx69GuCzjWgoAAAAAAFB8iiSlnCopXfTzWkmfbfg+ZWRnmf1ZSl9s8gENnjCFHq5RW+oyc7IlrfByfZf5X2tRXPg/GvB/nuHIvXSJYhLjKSc3ly67+U8HAAAAAACBDHvNpbxLlJyWSgnJSZSX53AcDnf/xcmK11L6h0eqUVZuDt1wdzkp/7BijcgpS+m8H1dK3d3VX5Q0KyeHIqKiKTM7myq/2tBlGddSeAu/MUpIL13KExkFAAAAALjWYMdRcqr8xx2FSmlhsfvQEUn/r9oLTvUvNf1Q0tNh4S7TJBm2bK+71sIbrKOjGVlZlOvl9AAAAAAApYnE1BQZhPMkpl5L6bGQM1TznZYycy7PWvIjtejUy6Xf9RZFRb0R/I0hMzuLLv/q+f/uAgAAAABcC6Skp3kUU6+lFOE+iooaJeX7Ry8ZAQAAAABwvRCTEO8kplYgpT6KomAV0ljcQwoAAACA6xAeMbXeY6qAlPooigJvfH4TsrKz6VdyvZcCAAAAAOBaJyUjTQbo8vLyIKU64ko4jZImJdibAQAAAACuG/jJTHwZ33pvKaTUR3El1I+b+BmkSakp9mYAAAAAgOsGfkwUD9RZL+FDSn0UnlCjpPyNIDMri/Iu4xf3AAAAALh+YSnNzslxuoQPKfVReMJ66T4jM8veDAAAAABwXcFSyr+xUT94YiClPgpPKCnlS/fpGZn25isy6pupFBMXT2npGYgSjnlLllNictFvt0hKSaG5xjT2+SAQJRXJKak0fOJk+64JwDUN7/dzFi+lxJRkhB/i2+/nieN4A0spXz22Ph7KrZSGhIVTWmaGWf6090D5V6KzFi936XulaNW9r0vdtRiesEopnzS8YdLM2fYqUMKEhIbZqwrl1JlQexUAfmHM1On2KgCuWY6dPu1yXkaUbAQdOGh/WzzCUspXj68opTv2HaA7Kz8j+WHfTKffPVjFqf38xSinclKq49+IRkRHm3Ubd+526hOfnOQ8jyjneZT28IRVSlPT0u3NHtllvBfA/xTlGyDfFwNAoFCUfRaAawH+nYb9nIzwT3iDklLrj50KlVJO7yj3BH23cBn94ZHHpMz/9/6vFZ6UfJN2nSW96d4KlJWTTTffX0nKN9xdjrJzc2jDziApT5o1n+596mXJ9xox1pyG01fe/chl2aU1PHE1Urrn4GF7FfADOTme32MGUgoAACWPPNnGzXkZUfLhDV5LKT9DilOrlLJ0cv6n9ZskvS9fOAdPmCqpat9okdIb7ykv+VOhYSKslV9pIOW/V37aZdmlNTzhJKXpkNLSCKQUAAACE0hp4IQ3eC2lKqxSmpCSTH+r9BTNWLhM6pSULl2zXkZWlZT+vdLTMoLKUhodHy+jo50HjpA2SGnRgZQGBpBSAAAITK4kpZNnf09Dx0+S2HPosEs7wnfhDUWWUk/xXvtuNGLydLrpvooubddzeEKXlN5yfyX6oFMvuqVMZXtTseBHM1yJoydPU/kXX5coLhmZjicQqOeSXQle1j8efU7SQ8dO0Ek//JjIF1L63mddzHzfkeNoW9A+S+vVs2Ov4/7j+MQkW4t7LuU5bi4HAIDSjCcpVTIaFhlh5n/8Za1Tn99afOZmI38hJoaOhZxxmVdhwbc18rndXm+NgeMmu9R5E3+r+JQM8PUcNkbOw/Z2a/D6q/zeI8Eu7Z5CDSzaY++Roy517sIbfCKlCPfhCR1SWq9lW6fyW62/oLY9v6IabzWnMk+/InVBBw7LjhwWcUHKY6c7fslf5bWGVLV2I6r/4aeyA3Iw4Ua/pJRUkdzvFi6Vut7Dx8r9wgr+MCh4viFh5yghKZnOhEfQp70G0u0PP2a8Vse/DOP5vNOus/SdvfhHSWctWu60TOagIZq/e/BR2n/0mJQXrfzFWGZFs50ZPnlGQf6b6fRJj35U9oW6NHTit/TPqs/RTGO+/Au+P5Z9nEZNnWmZsnCeq9/EjDkLl9mbnfCFlKakppmPBLNLKW+vFl/0oLHTHO8RC+yHxheOrbv2SnmU8fo/6dZX8px+1Lm3TNO8fXfae+io5Hkajp83bJZ+v2zeRs07dJdlsqhOn7+YPus9UNoY1X/w+ClS3rbbsT5BBw5RC2M69UBjXtZPazdK28dGnucD/Id1vwUAFC6l6VmZpohyWeVVWUVUXJx5y+E9T75M5y5cEAk7ez5CzlUrjWPqX41zKbf/o8qzkip5U+ez9Tt2UYOPP6f/PvGi2XZ39RfpP4+/IFeYVT9+khH/eLxFp57m9HyLY7s+AyXNtqwXnxer1XvbnP6hGrXN+SQkO+pGTJkhfdv0HCBXpPnJSaoP128O2kN3VX6G/vHos9SmV3+pe/W9j2XdVB+OvqMn0u8eetSsu9/wiJff/Yhet3hCbEICPdvofXrk+TpO01rDGyClGsMTOqS0wstvOJX//L/HRUoV85avomfffJ/GfzeX/mSImmLDjiAzz1JqhaWUn7rAhEVEStp18ChJ67ZoIylL6cYduyWYj7t+Se9+1lVeY//Rk2R5VWu/Rf+uWkPaWRQ5rFLKEmvl0z6DJO07aoKkatlrNm83+7iTUuZ5Q8KZ2x+qKh9oXn5b48NZFHhkuKgn96uV0smzF9D2PQdE8Bi7lH7Rb4ikvJ9ExcSao6pB+w9JutbYFhzDJkw15fT9z7ua0zBKFpWURsfGScr91eip/Eex/PXk18SjpczOfQepxxDHe61goeX14OXOypf2Ll8Nx6+6/cxs473gfXboOMeXCQCudwqTUj7fFkVKOXi0tP5Hn8nvXpSUsnh1M86BPBLKtyOy4LGocZ8ew0ab0/IgEaf7jx6XlKdrbxzTVfuZc+epcq2GZhunfJ6zljlVv82xzvPZRs2c+tV6r5VjfQ0B5XVjF+Dy4RMnJV21cQsdP3PWnI+SUs7zQFFqRjqdPBvqNE8O9Xq4buHK1ZRpyDOXWUo5XbRqDSWnp4mY2qe1hjdASjWGJ3RIKc+vz8jxkv+kez9ZhpJSvigel5BId5SvLuU7qzhEk+Ed6mJ0rOTdSSmLHVOnWWtJJxiSx/CTEhjrSCnDt3HwzsksXLlG0sZtO9IzDd+X/NLV62VdH3q+tqwjSymPxlrh0VzmljKOEdmY+ARJV27YYvYpTEprvd9K0r9VeIruMr7BMj2Gfm32vRIH80dnr8TVSumE776XdO+hYNkOdilVI6ThxoGKD7BKSgeNczwE/fyFi5KuXLfJlNJPezne7w3bHF80Zi9eLqmS0vnLV0r6cZc+ppTm5l4yRZTfF3XLRpevRkjKhJ2LkHTkNzOobY/+kl/68zpZr8vGuk+bt8jsC/xDg5aOL4kAgMKllKOoUtpj2BhTtJSUqh9p/7ncE5JymUc6b7rXUa9CCeSDNWqLsPJ8dh8+QvuOBNP67UEipc83bi59HqvbWOZRvf47UlbLvOvR52TamfnPgx80foohbQnmIzntUsojsJyWe/F1SavkSy+P1IaEn6NDxx2SapVSPteqlG8FsIolX2VUy+G2KXMXUXjkBVNKv+jvkOxn3nzPHI1V01rDGyClGsMTOqRUcepsmJm3jpQqQkLD7VUu8Eimldh8KSwO/F81FCxAhcEjdlbCzjtGR68W6/J9ydVKaVGw3t/JUmq/x9fd9lT35yr4/whbudIjyNTrmrt0hVO99d/hWt+rS3zw+LVo9wIDAEBJ4ElK+YdNVhl1J6SeQo1oFjVYLAsrxyU5nteenJbmMh2HfVksr/Y+1ohOiHcqxyYmmvnClsERfDpE0oefr+NU72l5mTmOpzFdKbwBUqoxPKFTSq2oS+TA95SElFqZMmeBvUory1avs1cBAECpwJOUqggJD6fwSO8E81qN7xYvpzc//txFoH0R3gAp1RieKCkpBfooaSkFAABQNIoipYiSCW+AlGoMT0BKSz+QUgAACEwgpYET3gAp1RieuBopnb/sJ3sV8ANFEU7rPaEA+Jug/QftVQBck/B97vZzMsI/4Q2QUo3hiauR0gvRMS4/XgEly7AJ39irCsWbvgDogo85kFJwPcHHXvt5GVGy4e35r8hSyv9mlB8ZwA9uzcjKdGnnsP7HAHv8sWw1+kv56uZzruzBD2611xUWYZEXJF2xfpNLWyCFJ65GShVrN2+jles2IEo4zkc6/vGAN/Djm+zzQSBKKviRYLl4liy4DsGx13+hnovtDV5Jqcrf/cSLko6ePptade9LrzX7RKLSq29SXGIijZz6HbXu2U/q1DRrt+408x926UMdBwyTPD8j84W3W5pSumT1OqrVrLXkO/QfSu+37yb5ui3bUtDBIxQaEUmPvFBX5r19335p42U+91YzeZBtfHIS7dx/kOq0aOPyGko6POELKQUAAAAAuFYolpSOmTHHqU09MFU94NVez8H/6vKt1h1o4Yo1lJyWKsH/OqvJp52l/c78f9N14NgJaXvyjaYSXFezSUtJ+eGswadCaNg306S8dM06SYdMdJT/83hN+ddgEVFRTuvhr/AEpBQAAAAAoACvpTQrN4f+80RNyauHsir5nDR7vqRxSc71HGqkNOjQEXM+nL7wdgtJ//DIY5LyKCenq7dsM6W0cdtO+fNNEikd9e1MKSspbfZFD0n59gKWUrVMf4cnIKUAAAAAAAUUWUpZCNds2U6nQsPMuiMnT9HWPfuknsvbjHx6ViYdPnGKtu3db9ZzxMQX/JeBLbv30RajL+fTMzPo+2UraM/ho1Lmy/MLVvws+V0HDpnT/Lh+kwhnUmqqlOf/tIouxMaa85j+wxJ56CsvX03j7/AEpBQAAAAAoIAiSynC+/AEpBQAAAAAoABIqcbwBKQUAAAAAKAASKnG8ASkFAAAAACgAEipxvAEpBQAAAAAoABIqcbwBKQUAAAAAKAASKnG8ASkFAAAAACgAEipxvAEpBQAAAAAoABIqcbwBKQUAAAAAKAASKnG8ASkFAAAAACgAEipxvAEpBQAAAAAoABIqcbwBKQUAAAAAKAASKnG8ASkFAAAAACgAEipxvAEpBQAAAAAoIBiSemYtYspNiXRpR7hHJ6AlAIAAAAAFOC1lP6mdW1aG7xX0v1hJ1zaEQXhCUgpAAAAAEABxZJSlb+rS1OXdo4ZW3+mSv1bm33/ZfR7+MuPJX9DmzpUtl8rurltPcrIzqIKvT+Q+sycbGo8dTBtOX6AHun7Md3W7nXKzs2hR3u1lHaenqfldOuJg9Tx+/G0eO9mGrV6gcvyAyU8ASkFAAAAACjAKymdu32NiKaKm9rWdenDsfboHrqz49t0KPy0lJ8c0p6aThsq+fcn9nfq605KmxjpHe3fFGlVUspxqyGqKn+jIahWQQ7E8ISvpPS9T9pTi08726uLTO0mLexVbmnXtQ81a9tR8oeOHre1Xh3/e+plp/Ln3ftSwxat6dKlPKf64vDAYzXsVeAqSE5JpVqNm1P/4WPsTcXivxWftFe55eMvulOjlm0kfMFLb75nr3KhW/+h5jLHTJ5O/6lQ3d4FAACAD/FKSl8e20tEMCkj1RRTex+ObYZYcvrXL96SdNrGFZSVmy15JZYZhoS2nj6Man/d3VE2BLTnwikipaExF+m3+cJbmJRGJMTQd5tXuiw7kMITvpDSuIQESklNdaq7GBXtVI6KjZU0JTXNrONlK5SUZufkmHWK1LSC9bKekDfvCDLzTHxColM5KyvbqWwlN9d5u3Bfq5SWqfqcmX/7w0/NfFJysplnsrML1veSsfMycfEJZt2AEePMvDuysgvW8VxEpKUFFEZeXp7sB7zfrl6/mZ6t08hsy7HsP8dOnjbzjNr3rPuYO8FLtL3H1v300Zp1ZfkcV+JkyFl7lfDlkFGUkZHpVJeY5LzMM6FhZp5f57Bxk43Xlit5K+o1Wfej8PPYjwAA4GoolpROWrvYo5RyzNm5jg6GnZL8D/u2Sqi2b7f9TEfOhZjl5Qe209qjuyUflRRPyRnp5nS/HHHUcyzev83Mp2Zl0JnoSJflBlJ4whdSyrDkPf5yfclPmjFH0lZf9JB04Mjxkq7ZsEXSTOONViOHMXHx8qazlNZ6qzlN/m4ujZv6nbQx91Z+WlIlBoVJqRrpijXmx6iTPNcv/3mt2a/bgKFUo97bspzBX0+Q+fJrZx5+oqbZr3n+aKyVFxs0lXT3/kMy3bipM2U+77f5gio+V0vaHqz2vKQJiUmyXZWU/u/Jl2jw6ImOGRmM/mY6VXjmFcnXftsh5O+17mC2g8LZFrSXVqxZb5Z5n+g7bLQIWlJKCnX+cpDUfdShm6QskOq9fbJWA3Mad+nbH7YzyzXrvyOyV9Z47xQspZ907EmtO/eS8iPVa8o+NmL8FHn/OEZOmGrO75eNW+jM2TBau2kLLVjyE12IinGS0vrvfWzuu01bfW58ji6Z097/6LOSMsON+SsRdrymy9Sx91fGZ2ucyHfjD9qJkN9jfF7U6wYAAFA8vJLSw4ZI3tyunhl/+LyBSx9EQXjCF1J6PvKijA7yfKJjYqlyjdekXp0Yl65cI2nQvoOSphnLUVI6c/4iSVlKeTSI3fPEqRCpY5To/pgvlnYp5fXnuO/RZ6SuuyGdzEftu0k9n/AvXIwyZCBaRppYSlt36il9WBiYngNHSGqdd2NDTvjEz/O4p9JTTu2vNHxX0sPBjtsHvjLEQEnpm80/kXTpytWyPcYa8smwlG7YulNGU3mkbv/ho6aUspjsOXBY8o++UEdS4Bl+LwaOmiDppm27RErfN4SwXtMPKPjkKalXgscy94UhcGq6KGMftcpoaPg5s3y38V7z/lrx2VdFSpkKRl7BUtq9/1AJNT3Hxm076asRY+Xy+g9LVxjzeZKSDUFW861RrzFVMj4XLKWzf1gi+zrD733NN94x9o3tTutkTRl3Uvr1pGk0a8FiqevQs79xAM2ku439nVPrtAAAALzDKylFeBee8IWUMjwf6yVxHin0BEup9bKogkXCDo+sFgXrrQEsxwwLpbV+1oIlkqpL7Qo1WmrHelm07jsfUHp6hqWVXC7DMikpzrcypNmmKYyk5BR7FfCAdXuxlPK9v3wAUYQXcjuEfR+zTsOkWW4X8ZbLln064kKUmbfvA/b9KDWtYB+9Wuy3zgAAAPAOSKnG8ISvpNRbeg1yjE7qYtuuPTJaqhg18dur/lHM+G9n2qtAgPDTmvUu91sCAAAAxQFSqjE84QsprZR/6ZrvZ2PUPXJ8KZThe+P2HDhEcxYupZafdpb7Pqu99LpTX3W5kefBI6Pcb8GylbRu01bJ88jrPZUd81PTqLRqzbrmvZx8+dLaxvek8i+1+bL68ZOnacbchXJpXrVZ+6q03NOOHzw1NKaZOW8RnQkNp2dqNzK206/mbQfma8xP76vyDJ06E0ojJ06lnl8NpzNh4fT8601k2/J2SM/IoA8+70Lzl/xE6zZvo+btOsl9r+rWAPv8AAAAAOAfIKUawxO+kFIAAAAAgGsFSKnG8ASkFAAAAACgAEipxvAEpBQAAAAAoABIqcbwBKQUAAAAAKAASKnG8ASkFAAAAACgAEipxvAEpBQAAAAAoAAtUpqa/29Cr/fwBKQUAAAAAKCAIkvpjn0H6MjJU9Sh3xCXNnucDgt3qbsewxOQUgAAAACAAryS0piEBFq4ao2UR0+fTVXrNqaaTVpKudIrDajKaw3pq3HfiJRm5+bQP6vWoMzsLGnvM3KCpJ/06EfV679DPUeMdVnGtRaegJQCAAAAABTglZRymmXIZrfBo+jxem9LedXGLZLuPnTE7MtS+vuHH5O8ktLeI8ZJ+tO6TZLWadHGZRnXWngCUgoAAAAAUIBXUhp8OoQWrlhD2/fspwefe03q/1i2mqS3PVCF0jIz6LYHq5iX7/9SvrqkLKY33lNe8jfcXU5GUf+c33YthyeuBynNMd7n0kJ6Vqa9KmBJTku1VwUsfIApLcQkxNmrApboUrSupWl/5XMVAMB/FFlKfRWzF//oUnethicgpYEFpFQPkFI9QEr1ACkFwL+UuJRejI11qbtWwxOQ0sACUqoHSKkeIKV6gJQC4F9KXEqvp/AEpDSwgJTqAVKqB0ipHiClAPgXSKnG8ASkNLCAlOoBUqoHSKkeIKUA+BdIqcbwRElJ6ajJM+xVJQakVA+l6SQPKdUDpFQPkFIA/AukVGN4oqSkdOe+g2Z+0qx5lJeXR2npGdRr2Bhq3a0vpWfokzFIqR5K00keUqoHSKkeIKUA+BdIqcbwhL+kVNFpwDAKPnla67IhpXooTSd5SKkeIKV6gJQC4F8gpRrDEyUlpZ7gdUhJS7NX+wxIqR5K00keUqoHSKkeIKUA+BdIqcbwRCBIqW4gpXooTSd5SKkeIKV6gJQC4F8gpRrDE5DSwAJSqgdIqR4gpXqAlALgX4ospfFJSbR2y3b5F6H2Nk9xISbGpc6byPJyeYEUnoCUBhaQUj1ASvUAKdUDpBQA/1JkKd2x74CkLFAP1ajt0s4xc/Fyl7qwyEiXOm/i7idfpkdfa+hSXxrCE5DSwAJSqgdIqR4gpXqAlALgX7yWUo7hk2dIWrdlW0M6L9ANd5ejxNRUmjpvoYykvtmqPZ05FyH1LKXR8fFU/4N2Ms3tD1U1PvjZ0sbl2MREeui52pSSnkabg/bSmOmznZbbrvdAGjzpW8nzvDbsDKKRU2ZQVk42/f6Rx2R5v3/4MTp6OoROnA2lXiPGSt9qdRrTwHGTJX/+YhQ98Gwtl9ekOzwBKQ0sIKV6gJTqAVKqB0gpAP6lWFJa9oW6lGRIqCorweSR0qSUFKd660hpsCGOiamO9qq135J06DfTqHKthtRxwDAaNH6KRJwhqtzWedAIeuqNphJdBo00pmnktE5T5y8y800/62JOHxkdQxt2BNGtD1SRtjEz5lAZSGmJAynVQ2k6yUNK9QAp1QOkFAD/4pWU/rFsNbr5/oqUnpkpdTfdW4H+VvFpU0pvub8SXYyNlfq/VnzKlNI7ylWXNu7D9Sy19z/9ipQfMfI33Vte8n945DH63YOPmsss88yrZr7Sqw1kVJT73JYvm3VatqWHnq9DzTv2kLY/lX3cbOPl3Vn5Gcn/54ma9Nv7Krq8Jt3hCUhpYAEp1QOkVA+QUj1ASgHwL0WWUoT34QlIaWABKdUDpFQPkFI9QEoB8C+QUo3hCUhpYAEp1QOkVA+QUj1ASgHwL5BSjeEJSGlgASnVA6RUD5BSPUBKAfAvkFKN4QlIaWABKdUDpFQPkFI9QEoB8C+QUo3hCUhpYAEp1QOkVA+QUj1ASgHwL5BSjeEJSGlgASnVA6RUD5BSPUBKAfAvkFKN4QlIaWABKdUDpFQPkFI9QEoB8C+QUo3hCUhpYAEp1QOkVA+QUj1ASgHwL5BSjeGJkpLSDzv1cirzcj2VfQmkVA+l6SQPKdUDpFQPkFIA/AukVGN4oqSkdOe+g2Z+0qx5Zr7boJH0SdcvKc9YBytZOdk+i7SMdJe6QA0+cdrrAjUSUpJd6gI1WJ7sdYEaWFc9kZCS5FIXqJGSnuZSFwgBwPVCkaX0QPBxis3/n/RRcXFyErf38TbadO/nUsf/LjTJB/MOhPCEv6W004BhNH/5KsrK0nfAw0ipHkrTyBNGSvWAkVI9YKQUAP9SZCndse8Ard68jZJSUygiKpoSU1Jox/6D9K/HatDS1evk/9xzBB06LP37jBwn6X8er0kr1m+i3z/yGC1YsVrqpsxbSGu37xQpnbloOZ09H2Eu5/aHqtLfKjxllv/4v8fpwedek/yEmXPp9w8/RtuNdeHy3ys9TQ88W0vyd1d/ie598iXJ31GuOrXt/ZXLayjp8ERJSak/gZTqoTSd5CGleoCU6gFSCoB/8UpKOa3yWkNTSm9/6FHq0H8I/bNqDWmbuXi5pJ/2+Yoerd2Igk+HUPU3mtJHXb+U+s4DR0gadOCQpH8pX51SDCFTy4iMjqFug0fRwLGTaeueffT4603MNpaGH9dukDwvv+vgkbJsjrTMDLrtwSp0POSsjLT+t/qLcnCxv4aSDk9ASgMLSKkeIKV6gJTqAVIKgH/xWko5brm/kkjprQ9UlvJ9T78iae8RYx3tZSpRdHw8/f7hqlK+8Z7ykv77MYe8xiQkSMojpTwti6RjOsf8OH57X0UaN/N744CWRjsNiY2IiqK7qjwrfXn5Rw3hjU9KotDISOk//6efKezCBRFbltR7nnzZaf39EZ6AlAYWkFI9QEr1ACnVA6QUAP9SZCktLC7Expp5JZfuIjImxqWuKGGf5wXLfLhNtXPKMsr5FENks93Mq6TDE5DSwAJSqgdIqR4gpXqAlALgX65aShGFhycgpYEFpFQPkFI9QEr1ACkFwL9ASjWGJyClgQWkVA+QUj1ASvUAKQXAv0BKNYYnIKWBBaRUD5BSPUBK9QApBcC/QEo1hicgpYEFpFQPkFI9QEr1ACkFwL9ASjWGJyClgQWkVA+QUj1ASvUAKQXAv0BKNYYnIKWBBaRUD5BSPUBK9QApBcC/QEo1hicgpYEFpFQPkFI9QEr1ACkFwL9ASjWGJyClgQWkVA+QUj1ASvUAKQXAv0BKNYYnIKWBBaRUD5BSPUBK9QApBcC/+ERKp85b5FJ3tbFiwyaXutIWnoCUBhaQUj1ASvUAKdUDpBQA/+KVlIZGRNLN91dyqS//cn2XuquNlp17u9SVtvAEpDSwgJTqAVKqB0ipHiClAPgXr6T0tgcqU0RUlFl+4JlXqduQr0VK/1j2canrbpQ5fbze29TpqxFU9oW6IrLTf1hKD9Z4zWxr3XMAJaen0avvfkRLVq+lh5+vI/+/vnbzNtSqez9IqY+IjU+wV5UYkFI9lKaTPKRUD5BSPUBKAfAvRZbSDOPDevN9FenWMpWpbM26tGbzdrONpZTbDx47IW2bd+0125SUcv6R5+vSnCUrnOZ74z3ljfaKko6aOtOsh5T6htUbt5r5KXMWUMuOPalVlz60aOUvNGzit/SBUdYFpFQPpekkDynVA6RUD5BSAPxLkaX07uovmvkxM+ZIysI5fPJ08/L97Q89KqOdnH+uUTMaOH6qi5RyWuOtZtRj2GhKNA5WNZu0pHXbdtId5Z6QaRu36URdB38NKfURO/cdNPOTZs0z850GDKPNO/dQl6+Gm3VMUmqKzyIhJcmlLlAjPjnRpS5QIzYpwaUuUIPlyV4XqIF11ROlaX8N1OMAANcLRZZShPfhiUCQ0sHjp1Av48uBLjBSqofSNPKEkVI9YKRUDxgpBcC/QEo1hidKSkr9CaRUD6XpJA8p1QOkVA+QUgD8C6RUY3gCUhpYQEr1ACnVA6RUD5BSAPwLpFRjeAJSGlhASvUAKdUDpFQPkFIA/AukVGN4AlIaWEBK9QAp1QOkVA+QUgD8C6RUY3gCUhpYQEr1ACnVA6RUD5BSAPwLpFRjeAJSGlhASvUAKdUDpFQPkFIA/AukVGN4AlIaWEBK9QAp1QOkVA+QUgD8C6RUY3gCUhpYQEr1ACnVA6RUD5BSAPwLpFRjeAJSGlhASvUAKdUDpFQPkFIA/AukVGN4AlIaWEBK9QAp1QOkVA+QUgD8C6RUY3gCUhpYQEr1ACnVA6RUD5BSAPwLpFRjeAJSGlhASvUAKdUDpFQPkFIA/AukVGN4AlIaWEBK9QAp1QOkVA+QUgD8i1spTc1IJ8TVhycgpYEFpFQPkFI9QEr1ACkFwL+4lVL7iB+ieOEJSGlgASnVA6RUD5BSPUBKAfAvkFKN4YmSktKTZ0LtVSUGpFQPpekkDynVA6RUD5BSAPwLpFRjeKKkpHTzrj1mftKseTR17g804OuJNHnOAuo2aCR9PfW7gs4+BlKqh9J0koeU6gFSqgdIKQD+5ZqT0sxLObQjN5o2516U2GrE8dxEl34lEZ4oKSndue+gmWcpVXQaMIziE5Oodde+Zh3DO4KvIsMQPXtdoEZqRppLXaBGUmqKS12gBh9g7HWBGix69rpAjdK0rkmpyS51gRppGekudYEQAFwvXFNSeignjiLystzGrkuxLv11hydKSkr3Hzlm5ucs+dHMDxo7mb5f+hN93megWedrMFKqh9I08oSRUj1gpFQPGCkFwL8UWUp37DtA2/cekHxEVDQlpqS49Cksbrq3At371Mv09bezXNqs8aey1cz8L1t3SPrPx2q49HMX6Zey6Xxepimhcw9uo24rZjuJ6Y7cKJfpdIYnSkpK/QmkVA+l6SQPKdUDpFQPkFIA/ItXUtqh/1DJKynNzMmmsjXrGflkerxeE2l7vnFzSWu81UzSlRu3mPM4c+68TPN0g3epymuNKC0zw2zLNgRm1YYt9M2c+ZSWkUG33F+JqtRqaErpsG++pdc/bEcvN/1Iyg/XqC3TqOn35sY4CWi53h/S4mO7aeXpg2ZdyKU0l9elMzwBKQ0sIKV6gJTqAVKqB0gpAP7FKynl9PaHHjWl9I7y1Sk88gL978XXKTo+XiSx/+iJkm4O2iv9X2v2idN8wiIi6Ia7y0lepRwPPFOLIqOj6b6nX5Hyf6q9IClLaUp6GsUmOu4L/fdjz9Ok2fPpxNmzTvPdknvR5ZL9b1rXpnO5GU511ml0hycgpYEFpFQPkFI9QEr1ACkFwL94LaUc/2eIIUvp7Q9XlTJfnuf0xnscknnjPeWdpn3mzfdof/Axuum+ilJWl+mtUhplSK3Kt+rej55p8J4ho+nmSGk5Q3wjDGllKX2z1edSV+mVBuY0EbmpLkJ666f1aV1osFm3JzfOab10hycgpYEFpFQPkFI9QEr1ACkFwL8UWUpLQ2y/FO0yWqoiPC+Tki5lukyjMzwBKQ0sIKV6gJTqAVKqB0gpAP7lmpJSjp250XTyUsGoKcvo7txYSr5UspfuOTwBKQ0sIKV6gJTqAVKqB0gpAP7lmpPSQApPQEoDC0ipHiCleoCU6gFSCoB/gZRqDE9ASgMLSKkeIKV6gJTqAVIKgH+BlGoMT0BKAwtIqR4gpXqAlOoBUgqAf4GUagxPQEoDC0ipHiCleoCU6gFSCoB/gZRqDE9ASgMLSKkeIKV6gJTq4VqQ0k07d9N7n3WRuBAVY28GIKCBlGoMT0BKAwtIqR4gpXqAlOqhtEvp8tXrTCFVsX3Pfns3of/XE2nwuCn0Uefe9iahy1fD7VUu/Lxhq71KGywpTGpaupw/r5Z9h4Np1frNkl++Zr1ZH3zqtJm/Et0GjbJXgasEUqoxPAEpDSwgpXqAlOoBUqqH0i6lSkSzs3OcxNTOsZMhTuUeQ742JO0ofTt3EQ0YPUnqWErf/7yr5NOMc1RmlmPbjJ0+2xRWJaXN23eTfxPOIpFnnNfCIy5I/ZKf10nK7D8STC06dJd85MUoatu9P63dvF3KJ8+clXkw3y/+iYZN+FbyH3bsRduC9lJI6DnztaSkpsn5k9eHy3l5l6XvidNnzde6dssOc92Zj7v0kXTDtp2S7th70Fi3te6l9OQpat2tr+R5OTyf9IyC88PMhcuoXc/+kmcp5WXyuZxp13MAjZk2m1iZwyMizWlCws5JejE6lj7o2NOsB65ASjWGJyClgQWkVA+QUj1ASvVwrUipPexMnDnXqdzMEEKWUib8vEOmWDz58v8lQw64XcEjq0nJKZJnKVXCl5GZSdk5OSK1H3bqRTsN8bMuW41utviih0gpk5Ti2De2Be2jkyGhIq0spcyIb6aZ07GUKjFUUjphxvdSHjl5hqRn8sUvJDScWhnrFJG/DObL4eMoOjZOXlPwScdIaGFSunFHkKQDx3xDrbp+KeulJJnh1xQbnyD55vmS3b7PIOrYb6jZh1/Xp72+MrbFROozbIy5jZS8xicmmX2BM15Lad+vJ8gJ3F6PcA1PQEoDC0ipHiCleoCU6uF6kVI+90ybt0jyoeci6Ez4eVNKeTSPUaOhLHhWiTpw9DglJiUbsponUtpr6Gip59FAPq/xCOiOPfup/ZeDzNFV5qAxHcOip6RULXPFuk2Szlq4zJTS2Yt/lJQFmKU0J8dxTlVSqtZPjWqqdTx2KoTWbNoufS5GO+6p5dfbrtcAmQdLMVOYlPYbOV7Sles2U8v8vrMWLjfbN+/aIwLOtxGoy/dtuvejOfnryxJ/+fKvMnI8efZ8Q66n05JVv5jTMyy1ew4cdqoDDoospXGJifTzxi2SP3k2jPYeDZZ8tiEeqo/1f9lnWeqv1/BESUkpf2NV8PL4QKK+sXKal5dntvsaSKkeStNJHlKqB0ipHkq7lKpL2p6E1AoL6ZVom3+p2gpfzrfCI6RFgYWSYSlVo4aKmDjXY4X9/GS9jM4o6XSHu/kVldxcx/2rDI+w2lEjxXbs6+uJom6z640iS+lTDd6VlO3/5Xc/kmjfb4jI6hsffyZyylKaYuysv3/4MZHSO8pXd5nP9RSeKCkp3bnvoJmfNGueme82aCR9Ynxj5ft/rPBB2VeRmpHuUheokWScOO11gRoJKUkudYEaLE/2ukANrKueKE37a3J6YB4HvOVn4zy9Y+8Be3WxOBFy1l511cTGOS5/A2CnyFI6fPJ0p3KPoV/TrWUqO9WpkdKyL74u6TbjQ2Gfz/UUnvC3lHYaMIy+X/ITZWVnm3W+BiOleihNI08YKdUDRkr1UBwBBAD4jiJLKccjL9QR8fy/x56XMh9sbnugCv3+4apSfvfzbnTXo8/RghU/018rPEXPNXzfZR7XU3iipKTUn0BK9VCaTvKQUj1ASvUAKQXAv3glpQjvwhOQ0sACUqoHSKkeIKV6gJQC4F8gpRrDE5DSwAJSqgdIqR4gpXqAlALgXyClGsMTkNLAAlKqB0ipHiCleoCUAuBfIKUawxOQ0sACUqoHSKkeIKV6gJQC4F8gpRrDE5DSwAJSqgdIqR4gpXqAlALgXyClGsMTkNLAAlL6/+3dh3sU95nA8X/kUp3Lk1wu1bmLe5w4zU5ySezkLndxjGNjG2xMMR0hS4gqwHQE2DRRTTXdNNM7QlTRBKKDJKoQAtmQ53fz/lYzWnbFjwX07syi7+d53md2Z3d2V9JK+9VoYXQQpTqIUh2ZHqUjxk+2R2d6EF984X7tuleN/d8Oyuvm3cQfSUqDf3SpRNdqahJX3Rfpg6aKKFUcF6I0WohSHUSpDqJUR6ZH6Y49JfagKHIkJzn858XLVxKvYskhOeUQm3LdRPL/V9/NqMLpiavuyD8caLx7OfJRooaOhDRyYv3/wS3KTjxYmN/NhUuXEld5Ifzg8X2j7jYSD2rTlBCliuNClEYLUaqDKNVBlOrI9CgV/qFF5VCYdzrU6PmLl8zG7fUHVmnfo59p0SnHnvaj9L3cvubtrj3sITfl8J6vte9mj2c/f9ln9jYXrVgdbP9Km86mQ16+Ka47vr14u2uuee29bkGUvtK6sz2S4MHSsuBxHT1+0rzVOcfMX/pZsN2U2QvsseT9486Xlh03b3bMNn2HjbHntxbv9m5zgGneobt9PJNnzbe39emqdfby+I9ZDrPt386bXoDL4/T18W5PLsvKH2Ifpxg2brJp3rG7Pf2Gt2zmXf9yVZVpk93b9Bg0Iti25+ACu1y5bqO9D3kt9+9XTsv9yDax28k2rbN7mZbe5+ONTtlm845d5t3uvcyxukO8+p+XkkNHbvu8iMKZn9jHvXbzNtsKQ8cWmr+37hR7EA8polRxXIjSaCFKdRClOohSHQ9DlEpIyV9/JW469x6QePFtbHR6L/75I8ea/t68271nEKVyXkZuRwIwXvf8wcHpwR9NDE77UXquov75KVHae9jo4LxE6c2bsWPLS1SKM+WVweUSpb6lXmh27fOBPe3vIfWjVMxa8Klddus3KLZBHTle/cy6y8TAUeNt3MWTvcj+3s3zF2KHPd1z4JBdDhozwUapkAiUz0PuwOGxDU19lB72glms3rjFVFVX29Pxe58l/iW6hUSp8IP5naw803d4LLSFRGnN9djrkB+lqzZsscsBo8bZVrhclTnfS/eLKFUcF6I0WohSHUSpDqJUx8MQpcvWbDDT5y32gulY4kWB1Ru3euF2wUyePd+eHzVput0jOmbyjCBKZa+hrCucOc+MmDDVnpZYE7J38Gbdn+APHikzlV7USSz6USqvb7MXLzO1tZ/bKN3rxd6lK1fMhq1FsSj1tr116592j6hct1VWT7udkCg9cuyEOXD4qLnuxYmE8z/jrnNblC5aapctvNuJf6+pRKm871NCr+zEKVN19WpSlFZVXwv+XC5vZxCyx1gcKD0aROnwCVPsYxxQMC62oamPUrldER+lE2d+4t3352bq3IV2Oz9G/aX80iAkSot27zOXvDhes2mbfazyMUiY+lH6VufYY27WtottBRmf7LF+GBGliuNClEYLUaqDKNVBlOp4GKJUNPQn+0SJ/2Ao8byIf29jQ5c/CP8f89y8efv7S+P3lPoSr6Opofu614/9Xv6hUuJ1E+/L36vcVBCliuNClEbLg0TpN3/yM/Mv332MYZrUnCuvSPxWaBBRinshezbRdBGliuNClEbL/UbpslVrk16sGaapTCqIUgCpIkoVx4UojZb7jdLOuX2SXqgZpqlMKohSAKkiShXHhSiNFqKUYe59UkGUAkgVUao4LumK0lfbdglOnymvMDv37rf/2k/ePC3/xcaho8fqr9zIiFKGebgnFUQpgFQRpYrjkq4o3VRU/x8kFxTWH/WiQ15/+5/6Jv4bwfOXLzbaVDawLqoj3wiJ61KZ1t1yk16oGaapTOL3Q0Nzv99bYUxlRB8r0FQQpYrjEnaUts/LN72GjjIV5/X+yx72lMbm6z96OmldlOZrP3wqaZ323M99fuuxnyetS5wvf+/xpHXx8+jPf5e07kHm0ece7PZ+8qs/Jq1raL79+C+S1j3o/ODZF5LW3eukgj2lAFJFlCqOS7qiNExNNUrbdM01q9Ztsks5//u/vZ50nSjNL178W9I6rfE/J1+9jyj9zpO/TFqXOHe7zoWLl5LWxc/EabNuO7901VrTqnOO+df/eNaef+6P/2vWb94WXH6l6mrSbcTPijXrTcsOWebipctJl8l85QdPJq1raEaMLUxat2rdxqR19zL7Dh5OWifz27/+I2ndnSYVRGn6nY07QhKQSYhSxXEhSqOlMaNUZszEqcHpeYuXmxu1tfb0E7950Zw4ddqcOnvOnr9+44ZdypFP5Ogi/jYVleftcuuOnXYpoSCHwjvtbff9nz5v5iz81HzhPXe+9L3H7VFF5H3C/rYz5y22zys/mEqPHjPXamrM7/+vPo7liCP+Y5Ioff4vzezRU0oOlppvPPpM3e0sssuRYyfZ5Ze//4R9zspjlfPi2rUac/TYCXu+2jstj+Prjz5tKs9fsEdskfW3bt0yxbv3mh/97LfB5+2t9t3sZVuKdpqr1dXm1Xc6mO898xtz5ly5vQ+5TB6PbOs/5nFTZtjlqPFTbOR996lfB49DyOndJQfs95aczuk32Ozdf/C2oPOjVG632vu+k2D8aNJ0c/T4CfNVLxDjbyt+fu7FqHz8Tz7/YlKUyuM/fuqMPb96/Sbzx5ebB5dLlMpy+ep1dllecd6cOnPW/PDZF4L7ktNynHK5XL6m8n5vOS3PDf9zsWDpSi80Kszjv/6TPd8xp4/dtmD8ZLNu81a7/Tsduwf3638MclQbWR4pO2ZvV7428nWQ58OhI2Wx+/E+z/I1jScRLvdfXX3Nftz+7SZOKojS9JG3ZPnHT/eP556q1XWHtKytjR3lKJ4Ewv2QIyMlWrJyTeKqUB07yf+LGiVEqeK4EKXRohmlzd5pb5ftsvLsNpu37zDbd+0JLl+0fJVdJyPRKuty84eYv7z2ttl34KDpPWiEXbe1qNheR0iUyrrSsuN2XdHOPTaqZJ1EqX9/snysLmROno6Fk4zE1OutO9nTEqV+vDz1wks2dOX2V6zZYH72h7/a83JZ2YmTwfbN23QOgunZ//qrXfofgwSeRKmsk8P9+dtIDOV6oSin/Sh98ZW37HL/oVIbpV/70VPmqz980nz78edsvPcbMirY3o/S/GGj7XLKrHnBZf784KexP0k//9/NbHjJ45FDIPqXS5QuWbEqOC9RKp+njVuL7PkVdfHoj8TovMXL7Ont3udYrn/g8JHg8vrwjwXeL196+bbtJUr/9Mqb5sfP/d6e31a8K/ga+teRKJXPsUSl/zls3TXXHDtxyuQPjX38H3+y0C43by8Otis7Hvt6/OFvsQjeuWdfcJl/+/7XNX69xLicLvauH//WEn+bP//jbfOIt95/LAu9II6/jcTbuxuiNH3ij+R0t6M6yeE/xdwlK+xx4NvW/aLTEPleuh/T5y9JXHXXx5Vo577YoUvRNBCliuNClEaLZpT6f76X+Jk2e74Nrz0lB4LLX/ifV+17Czvl9g32Skmk+HvMZO+hLPeUHPS2fdrMXbQ0iFLZY/aNH//UjJ8aCzYZP0rbduthl/sPlpqveLe7c09JcJ1O3uPO6tXfnpYolcCR+z7gxaGsq/Ji65FHn7E/GPxtXvNeTJ70orVH/yH29oQ8zpK6PwPPmr/YfPux50w378XOj9K8AUPNvz3xCzPp4zk2SuU25Hb9KJVQlts4V1Fpo1Qeg8S1ROnSlWvs/flR7EepBJss46PUD2//z/cSpf7eR38pI1H63ad/bV5q1sKGtUSmH859vPifOH32bX9S75qXb6Pxm/9Zf9SuxD2lsjxcetQun/ndX+x7X598/iV73t9TKh+/vGVBjgEu76ddsHRFcBty+7L8zhO/NC+3aGt+9ee/249jhhei3/pJ7H20/t7e+CiVvaryfKipuW4/RzVeOPiXVV2ttvfnR+nYyR/b+2nV+X0zb8ly88iPn7FfP7ls6ux55t+f+lVwvmDcJHt7Q0aPs5Evj8mP9sRJBVGaPqlG6YwGYtGP0pNnzpnp3s+Q1Ru3muYdYsd/lyh92/t54lu5bpOd1t172fNyX+u958h473ku+heMNcPGTb4tSl/3vucXeL+Ay3XlLxWTvefdbu9n2jLvl98OdYHc44MRZsO2YtOp98Bgu7HTZplPV62zf0masWCJ6VR33HuxxfslTy6TwD7i/Qxb6P3C2To79pje6ZZn1nrfq31HfGjvr7v3i373/kNNp14DTDvvZ61vpvezVMi6VRu3sOc0ZESp4rgQpdHS2FHqmrv9YxzXuP6U6pqGtvtSCtdxjUhc5weka13iedf9Jl73TnOn66X6ns34693pthprXB9v4qT6WBq6zcRt4883dP2GJvE2EicVRGn6xP/p3hWlG71fbuLVXL9+W5S26JJ72+Wtsnredt6P1avVsdcu/75kWej9sujzo/RaTf3PVz9KhbzdIN6k2bFtt+/aG6zz95T69ynkrSy+V9t1tcvX22cF646dPG1/0RUjJkwJ7k9ec8XeA4eD6/pROnXuQrscOGpccBnSjyhVHBeiNFrSGaUPyzRv2yVpHdO0JhVEaXpdunLFbNhaZD6aOtMGoPx/1A15s1O22bZzTxB18VH64ZQZpuRQaRB6sqd05ISp9n3iYsGyVWbP/kOmZeccez4+SsXIidPMhBlzb9tTKlEp/xtMfJRuLd5tiveWmDbv97bn80d+ZPfQdu3zQbCdvP++aPc+G84r12+yezx9Y6fPNjv2lJgd3m3I491avMu8l9vPXvamF7z7Dx8xWd71U4nSmQuX2qVEqSvooYsoVRwXojRaiFKGufdJBVEanilz5mdUYLXOjsVpi7rYRdNDlCqOC1EaLUQpw9z7pIIoBZAqolRxXIjSaCFKGebeJxVEKYBUEaWK40KURsv9RumO3XuTXqgZpqlMKohSAKkiShXHhSiNlvuNUvFyy7ZJL9YM87DPnf4BTSKiFECqiFLFcSFKo+VBojTdMulFXn7AZIqKi+cTV0VWeQY91kx6vhKlQLiIUsVxIUqjhSjVQZTqIEp1EKVAuIhSxXEhSqOFKNVBlOogSnUQpUC4iFLFcSFKo4Uo1UGU6iBKdRClQLiIUsVxSVeUZvUbHByFI92IUh2Z9CJPlOogSnUQpUC4iFLFcUlHlO49cMguW3fvZZcFhXLotzmm95DRZtSk6aZTrwFm2LjJ8Zs0KqJURya9yBOlOohSHUQpEC6iVHFc0hGly9dssMu278eOaSxR6mufl28uV1WZtzq+H6wTN2/dbLSRH/CJ66I6V2uuJa2L6ly+WpW0LqojP2AS10V1JPQS10V1MumxZtLztfp6TdK6KAzQVBCliuOSjigVbXNiQSqmz1sUnO5fMNZ8PH+xad+jX7CusbGnVEcm7XliT6kO9pTqYE8pEC6iVHFc0hWlYSJKdWTSizxRqoMo1UGUAuEiShXHhSiNFqJUB1GqgyjVQZQC4SJKFceFKI0WolQHUaqDKNVBlALhIkoVx4UojRaiVAdRqoMo1UGUAuEiShXHhSiNFqJUB1GqgyjVQZQC4SJKFceFKI0WolQHUaqDKNVBlALhIkoVx4UojRaiVAdRqoMo1UGUAuEiShXHhSiNFqJUB1GqgyjVQZQC4SJKFceFKI0WolQHUaqDKNVBlALhIkoVx4UojRaiVAdRqoMo1UGUAuEiShXHhSiNFqJUB1GqgyjVQZQC4SJKFceFKI0WolQHUaqDKNVBlALhIkoVx4UojRaiVAdRqoMo1UGUAuEiShXHhSiNFqJUB1GqgyjVQZQC4SJKFceFKI0WolQHUaqDKNVBlALhIkoVxyVdUZozYLi5Wq13+y5EqY5MepEnSnUQpTqIUiBcRKniuKQjSjfv2GmXLbvk2mVB4TRz+uw5M3vhMtNn2Gi7fkvx7vhNGhVRqiOTXuSJUh1EqQ6iFAgXUao4LmmJ0qJYlHbrO9guJUp97fPyzY3aWjNozMRgXWMjSnVk0os8UaqDKNVBlALhIkoVxyUdUSrmLFkenC49djw4vXPffnO47LhZtHJ1sK6xEaU6MulFnijVQZTqIEqBcBGliuOSrigNE1GqI5Ne5IlSHUSpDqIUCBdRqjguRGm0EKU6iFIdRKkOohQIF1GqOC5EabQQpTqIUh1EqQ6iFAgXUao4LkRptBClOohSHUSpDqIUCBdRqjguRGm0EKU6iFIdRKkOohQIF1GqOC5EabQQpTqIUh1EqQ6iFAgXUao4LkRptBClOohSHUSpDqIUCBdRqjguRGm0EKU6iFIdRKkOohQIF1GqOC5EabQQpTqIUh1EqQ6iFAgXUao4LkRptBClOohSHUSpDqIUCBdRqjguRGm0EKU6iFIdRKkOohQIF1GqOC5EabQQpTqIUh1EqQ6iFAgXUao4LkRptBClOohSHUSpDqIUCBdRqjguRGm0EKU6iFIdRKkOohQIF1GqOC5EabQQpTqIUh1EqQ6iFAgXUao4LumIUvmiisKZn9jlqbPlZvuufebipcv2shu1teZA6dH4TRoVUaojk17kiVIdRKkOohQIF1GqOC7piNLCmfPs8vX2WXZZUDgtuKxDXr55o2N2cN5Xeflio408uRLXRXV4rDoj8ZS4LqrDY9WZiouZ83yN6vcW0FQQpYrjko4oFZevVJmV6zfb0/FR2t6L0p6DC8zZ8spgXWNjT6mOTNrzxJ5SHewp1cGeUiBcRKniuKQrSsNElOrIpBd5olQHUaqDKAXCRZQqjgtRGi1EqQ6iVAdRqoMoBcJFlCqOC1EaLUSpDqJUB1GqgygFwkWUKo4LURotRKkOolQHUaqDKAXCRZQqjgtRGi1EqQ6iVAdRqoMoBcJFlCqOC1EaLUSpDqJUB1GqgygFwkWUKo4LURotRKkOolQHUaqDKAXCRZQqjgtRGi1EqQ6iVAdRqoMoBcJFlCqOC1EaLUSpDqJUB1GqgygFwkWUKo4LURotRKkOolQHUaqDKAXCRZQqjgtRGi1EqQ6iVAdRqoMoBcJFlCqOC1EaLUSpDqJUB1GqgygFwkWUKo4LURotRKkOolQHUaqDKAXCRZQqjgtRGi1EqQ6iVAdRqoMoBcJFlCqOC1EaLUSpDqJUB1GqgygFwkWUKo4LURotRKkOolQHUaqDKAXCRZQqjks6orTmeiy0Bo+ZaJfbd+01E2d8YvYfOmKuVl8zlRcumgXLV8Vv0qiIUh2Z9CJPlOogSnUQpUC4iFLFcUlHlE6bu8gu3+iYbZcFhdOCy9rn5ZvcgcPNtl17gnVCXuwYhmGY6AzQVBCliuOSjigVO/eWmJJDR+zpxChtl9vHrN28LVjX2NhTqiOT9jyxp1RHJoVKJj1f2VMKhIsoVRyXdEVpmIhSHZn0Ik+U6iBKdRClQLiIUsVxIUqjhSjVQZTqIEp1EKVAuIhSxXEhSqOFKNVBlOogSnUQpUC4iFLFcSFKo4Uo1UGU6iBKdRClQLiIUsVxIUqjhSjVQZTqIEp1EKVAuIhSxXEhSqOFKNVBlOogSnUQpUC4iFLFcSFKo4Uo1UGU6iBKdRClQLiIUsVxIUqjhSjVQZTqIEp1EKVAuIhSxXEhSqOFKNVBlOogSnUQpUC4iFLFcSFKo4Uo1UGU6iBKdRClQLiIUsVxIUqjhSjVQZTqIEp1EKVAuIhSxXEhSqOFKNVBlOogSnUQpUC4iFLFcSFKo4Uo1UGU6iBKdRClQLiIUsVxIUqjhSjVQZTqIEp1EKVAuIhSxXEhSqOFKNVBlOogSnUQpUC4iFLFcUlXlOYMHG6qrlYnrk4LolRHJr3IE6U6iFIdRCkQLqJUcVzSEaWbiortsmWXXLssKJxmyisqzdzFK0zvoaNMi845pmjPvvhNGhVRqiOTXuSJUh1EqQ6iFAgXUao4LumI0i07dtllVr8hdilR6mufl2+u37hhho+fEqxrbESpjkx6kSdKdRClOohSIFxEqeK4pCNKxYLlq4LTx06eCk7vO1hqyk6cMkvXrA/WNTaiVEcmvcgTpTqIUh1EKRAuolRxXNIVpWEiSnVk0os8UaqDKNVBlALhIkoVx4UojRaiVAdRqoMo1UGUAuEiShXHhSiNFqJUB1GqgyjVQZQC4SJKFceFKI0WolQHUaqDKNVBlALhIkoVx4UojRaiVAdRqoMo1UGUAuEiShXHpSlEKQAAQKqIUsVxIUoBAADqEaWK40KUAtEn36ei+lpNwiX1lwEAGgdRqjguD1uU/qNdV7tsl9PXflzibHmFGT1puik/f8GcOnvOfsxden8Qv1komnfobpcTZswJ1p04fca06t7LXLpSZW7eumU/hrY5fYLLw9Kya+wQsf0LxtrlhYuXzIHSo6ZZ2y72uSOP85b3eN/N6hm/WShOnys3i1asMTdu1JqX3+1o15WWHTets3vbr708z69UXTV9ho1O2LLxvZvdK/iBdt17PC265Jjazz83573Pn6zL7j/UdM8fYtf55HC8x0+dsacHfzjRLt/r0c8uB4waZ9p4H4cYM2WGGTh6vD29ue6oaZrka3/yzFlzo7Y2OF9RecF8tmGzPb920zYzfd5is2bT1vjNQtG17yD7Ob3lfe5lOXDUeO8F5rrZf/iIvXzo2En2cyvPg7C19p4jQr5/vvC+l15p09l+juXFUPQYNNK86/1MkOczgPQgShXH5WGL0uOnTgenW2XlBacPHimzP/SXrl5nz7/2XrfgsrCNKpxul/+s2+Plv8gX7d5nly0659hlFCxaucZ8PH+Jqa2NRVR2fuzQsUePn7RLCaWwff75F0E8d/PixOc/H06eOWeXi1asDi7TMnLiVLu8dPmKXb4/YJhdSjSLNzu9bxZ/FjvtGz5uspm54FN7WgJFQjRn4PDbruPzo7R9XbRq2lxUH77L1mwwsxYutad7Di6wSwln+YUgCuYsXmaX5V40X7h0Ofhldey0WXb5Xm5fs33XnuD6Yfqg7mt4rvK8mTR7nnm7S+wXwBVrN9qlPEfmL1sZXB+APqJUcVwe1iiVvQ/Fe/fb01uLd5uOPfubybPnm6vV1+zenpXrNsVvFirZq3vy9Fl7WvYyveVFqP/4DnkxXVA4Lf7qoeo9dLQ5U15h9+jOXPip/Tz78bx7/0GT+8GIhC3Sb+3m7cHX3o9SOczt8PFT7B5T2QO9+LO1plu/wfGbqZA9obtLDtjTsjdTzldVV9s9YvI5nLtkud0TvmbTtmCbNzpmm4texJ46Wx5s22PQCFNxIfl/EPCjtM/wMQmXNL4Oef1N4ax55lxFpTlbXuk9F0bZz3PJoVL71wh5zHmDR5p+Iz5M3DTt2nnRuW5Lkf3ZJnv0W2X1NBXnL9pAPes9fvmZ0CEv38yoi/8wyZ7Q/d5jFPLYuvcfYv9SIo6fPG1/QZHvs43bi+M3A6CIKFUcl4ctSoFMdz97G3lfKQA0HqJUcVyIUgAAgHpEqeK4EKUAAAD1iFLFcSFKAQAA6hGliuNClAIAANRrKEr/H4jHvoGYrnavAAAAAElFTkSuQmCC)  

\> Note: The Atlas Query Profiler is available on M10+ clusters.

Now, ours will be pretty empty, so let's run a few expensive queries, and give ourselves something to look at. Let's head over to our terminal and open mongosh. First, we'll select our `sample_mflix` database with the command `use sample_mflix`. We're going to run a few intentionally slow queries to give the profiler something to log:

```
db.movies.find({ title: /The/ }).hint({ $natural: 1 });
```

```
db.movies.find(
  { plot: /love/i },
  {
    title: 1,
    runtime: 1,
    complexCalc: { $multiply: ["$runtime", 42] } 
  }
).hint({ $natural: 1 });
```

```
db.movies.find({
  $or: [
    { directors: { $size: 2 } },
    { year: { $lt: 1980 } }
  ],
  $where: function () {
    return this.cast && this.cast.includes("Robert De Niro") && this.runtime > 90;
  }
}).hint({ $natural: 1 });
```

These queries are intentionally inefficient. They ignore indexes and force full collection scans. Perfect for generating profiler activity.

If we go back to our UI, we should see some values populating our scatterplot. Each dot represents one or more slow operations grouped by similar characteristics. Click one and we'll see:

* The operation type (`find`, `update`, etc.).
* The execution time.
* Whether an index was used.
* The number of docs scanned.

![Populated Query Profiler in Atlas 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1+CwD0GVI384PHTHDn3Y+9Y1yv/1X1ejZg5Fh3Lgn/nOmz8YX3hfPbuk1s07bt7rxR+rta9on3vM8qVrcWneOjFsjo+qLzXeMOXa3EtzVclKxU0xV5rVq/yU4Fxrr/umYDNwzC/GUrrHXX3m44hNot2oema+gXdZNfrqa3zt76flKhmlVv0tpmzl9kw7xzkHpOGDdtttuGHXsNcNsoGHrOxBlz3PKWrlrjXiN+4PDQa4i2qb/e2jZ6LS1bBRrLvHOQzmvhVHCmZU+aOcfGT5tlZWvUc8/z13+r92PtXOetSvWaRaynolSl723H7r1uPb6oWtvmLV4edTkqTlDBSJ2W7UM9AelvPW/V+o1u2JbPK9d266R90LhDN9vhfRkOXv91rK329kv9Np3sU2+/fvZtdbe/9B7Wez9M/GPNp+ETGnnnbB0Dpb/73v3bLr6fK0ADAFycht65N/i9K7do0q5L8OkxQQEAAAAA8ioWBQCbtm+3Dj16RSTx/egzbIQdTkhw86rb+qWrV3vz946YLxjjLyDJHAwl9QaNnejyJrpHPmbqzIh5arfq4Kb92433uq70/cfnLF7q7if/xy0P2LAJU0KPKzmr5PMX1erar2++3z1X95x1j7pWy/audf5xb77ElBS7/czQ0G9/9a0dyzybrNYY8rp/rfxJ+LbX85TH0TKVF9KywtdV9+J+8de7Iu79KzQWfc+hI918SpIPHj/J7nrxbdd9vdbhf+5+zBq0i7MKdRu7+e95+d0cQxso76N8w6slv/a21+2h5f7v3Y9bs7j40DjzMxcucbmj4Osr1Ph14JgJbr4sbztp+ZUbt3Qt6P3t9NtbH7BytRpGFE1oe1117xNuviHjJlnJ7763n3mvc7f3HtQSPyE52ao2aeX2h/96yqMpn7Dv8OEc2ylaKNHbuc9Au/r+p9220vNveOIla9ezX2ibP/tRaTdvk07dXH4g+P60/l9Ur2utuvWKOl3xwqdfumWkZRyzRatW23MffR7Kxf2dy028ZJ36DnTFANrf/vopwa2keM1mbd2xpNfSc7QvPq5QzR0zGuJBeZrnP/4i4nX9UC5Dyxs3fZb93z2Pu8d0LPuvc6+33/WY8io6Hn5724Pu73/wjpOH3/rY5nrHWLRt165XP7v6gextp3X7y6MvWFz/wfaMt830fA3xnFuxiEKfxb2HDlm9tp3tv733p+col3Tz06/aqMnT7eUSZd1jwQKAg0ePunumV93zhHtdvb7yN537DbIS3jGi5+hfbb/ug4dHbA8/9DnYsGWbW6YKMmYuWmL3vfqeyyVpunKH5es0svrtOrvPvR7LS4FJbkEBQAzFogBArb0/qVDd+6DfZguXrwpOjmrP/oP2+DufuQSyn1D1CwD+wztZ3f/qBy5RWbFeU1dUoITm/9z1mEs6K9Hk0z7RyUrPUaL62/rN3IegWpPWdtuzb7gPtpKf4fyTmIoPVGzw9pcV7UNv+bJzzz57u0zF7KT6W59YpQbNrWbzdm66Tohapj5YKgDQ/h80eoJ9Wb2e3fVC9gXkwdc/dH8rFq1c45YZrQBAx1Unb711wv/zw8/Zp9/WtHqtO1mZGvXcNvi3G+5x7yW8O20VAPzj1Te5nhZueeY1K121jtVr09mdoHSC17bZvXd/aP5o/AKAX/3tbus1ZKRLdIfHxq07QvNqHZt1jncf8g+811CCTbSNdBLTBWaw9/79eYeNn2z/510EtZ3Kft/AWnXt5S702ia/9eZtFtcjR8vY7bv32mulyoUS5VUatbTKXrxSsqx3Yn/E/uqdOMdPz056ycUUAEydu9Dtg8fe+tTtl5uffi20XyafOX6iFQAoWaQk/q/+do87NnTCrNWyg5Xxnqd9r/es/RTOLwBQMl2voyo3Pab98uub7rN7X3nvonoDyE8BgPaVjicVv2h7KvS5+J+7HvW+UI52x9ZzH31htVq0t69qNnDrd+fzb7nEoS8pJdW+a9DCXVD1GdX7b9Glp33pHZvavzc99aorJIiW1Css6pXhfe9zG7y5HC1UADDkzHEaa1dKAYCSydW8Y6tsjfqhY0et5NULQJWGLVySNSi/BQC7vR8dtVu0c8nd5t55SRW9A71o7Z1nlOiv730u/XOU+AUAJb+r6ZLMShD3864FKmzq5J1Lytasb+W+b2hLA4VTcxcvt3LeZ6N641Y2YOQ4mzxrnvtXf3/lfQaUuA+nAoAy3rlYSX0l2+P6DvJeI7vgRD2gtPHWT4l4vb4KFYaPn+Jev6rOd971RYl6FQCokG6296Oh5+AR1sD78qfiBiWq9XefYaNs/ebsREa0AgB9FvWZ1LpU8q6Z3QcOtaFjJ3nn+BFuvVT00H/E2BxFAH4BQM2mbay890NDhRs6h3f21k3buGLdJq4HnNwM995jj0HD3P7Wcjr06u/WVdtYhRoqIFDivlOvARFFU6LX0nZREYSf1FcBgNalUt2mbjgJLUvTO/ce6IYO0v5avGK16zFGVLyhc//X3r6s4X0hHuhdlydMn+32l7Zv6cq1XLGa38vQDz/86Jb7pffjpPfQUW6bde0/xD735mvTrXdEcQcA4Nwae+fU4Peu3KJqw+bBp8cEBQAAAADIq1gUACxbs8ZadekekcD3o3PvvjZz/kKXINb8uocyYOToiPmCoeECgq91IbFx2/ZQd/n3vfp+juRiYmqKXfPQM6EkogoS/Gm5FQCoJfg9r7xnP7n6ZpcQfe7jL+yJd7NzPrpf/tzHn9vmM4n1ms3bumXrHvuaTdk9GCgR2mPICJcf0DTlK/xlq1X6L66/y90nr9O6Y0Rr+ZUbNtoDr33g7n0rZ6Dnq3W6ln/H82/a6KnZRRJK1mq9tT7XPvisPfLWJ+45ytf84Z7sJHt4AYDWSe/xmgezt4WWqde5/rEXQwnSV0p97VpKL/WOGSWR/Xv1mqbnaR1UcDBx1ly3zM07dtqT75d071N5mdufe9PufOFt+/eb7nPP0T37WWGJ6fACAC1H666eGZTs1rLqt+3sHvuv2x+21z8vb299WdHlx9SIT2PdB7dVeBxNTrJSlWufafh6q3tfyoMpkfzrm+53eSa9rl8AoP1z78vv2fWPv+geV4NUPUfvQTkQ5d40XfkUTVfyWI1ptQ3K1W7sju1eQ0e69VdRxI1Pvmwvl/jKO27edQUcv/S2R5XGrSwlPS20jsvWrnP7ScvTftI2Vg5DOTM9dsszr7ux7dWrxdffN3Sv9cszr69jRn8r1PhXyztfAYC2nY4RLffhNz9yDTz9fa/97M+v11PDNG03bQft98fe+dQVsOj9Kdei552vAGDfoUPuM6Z8qnKN2l7Kof3xvqfsl976/+9dj7nlhBcAqBdw5dx+5r2ucoR/e/wl95zrHnnOW5dbXd5Gz9FydQyPnDzNbYM/eZ9LPa51vu7h591j6q1i2+49bh1VuKDtqvXQMh564yNXrKPHdHypcayeTwHAFVwAoKTyXd5B8+eHn7VN284mkM9FiZESlWq6E9XajVvcY34BgA4oVXWpO3j/hrxaj/cYPML+4J34lGRNSs5OfC5bvc4lvv/ofRjnL10RSphrX02ft8gd0H/2PoDpYa3P/QIAPU9JDCWetHwVMij5qwuGToLbdu0JtQ5N9aYrke9XVakAwH8dJS/U2lCVTm3i+7q/FX6SIloBwLwlK9zJ9K/eyXLy7HmhbojVmnH52vX2yJsfuwtKr6GjQs9RAYBeWyeT+EHDQj0naP3LVKvrPoxNO8WH5o/GLwD4yZkP9DUPPJMjlPgNp22i5LdOnI3ad3XbQ0l0nZyVoPYTeeoCXCdlneRUoKFhFXxqNfvEuyW8k+wTtnHrdveYElFVGrVyPQRUqNvUdbPtPmM/ZvfAENd3sNs+upCoG265mAIAJXq0D7oNGOr2yzd1mpzdL2f2abQCgAkz5riqMp0YtUw/YabWueqR4In3SrgKyPAiFL8AIHu/DA89JzEp2V2A1LPB4NETQ/OfT34KALQN9IVlwbJV7tyl81S7Hv3chUPH4Mve50pd/7tp3nZVdabWT8mw7HPcj95nYqp7L6+VKu+KNPzjWF3sDBs/xe2Xj7+p5goFioqOyxHe/nvW+0IZvMEcjGbe/klNu7ChKPLrSikAmL90pWuV3tw734QXKY2dOtO12Na/wWRqfgoAdN5q531O9Xwl0DVki1+AomFTRk6c5pK4rbr0dIl08QsAlEjXeUFd4uv4Fn1G1ZvM51VquUTxoSPZBTqHjiZYOe+LlHpZUcLdX5bei6oiv63X1LWU13w+Jd2VkG/ULs5d//SdQNtE58rh4ye7BH+Hnv291zgaOveoWEKJaSWu9Z5UACDuO4auXXMXuOT4rIVL3N8K//1GKwBQ9/tKnH/frK073/o9euh8p3OripY+97aFCgz85fgFAErSK6nu7xNt697eF3vtXxVL5EbrquuVCge0HA0rEr6umt6mWy+XbA9+L0hMTnbFIxXqNHa9BfhUAKBldfHO8eFD2+g71hLvfZeoWMMatOlsBw5lDzegQoMqDZu7whANOePvX+23rd41Sa9Ro2mbUCGDtovel3qd8c9fGpJhnHe8xg8cesFDDQAAsulcW8I7rwa/ewWjlHetUW8thYECAAAAAORVLAoA5ixeYs06xkUk8IOREZZcGzp2fMT0YLTpGh/xWhcSSmB+36LdmSTizTZl7oLQtO6Dhrl73LqHPGrK9BzdgOdWAPD2l9+65zz+bgmbPGe+7dy3z7bs2mUDRo+z39/1mP30Tze7luoZWVkuYa95lWwdcKarfr1v9QSse9oKNQj1l63eaZXDUDJ04szsRHp4KGG8cv1Gl1tRD8R6vhozKreyYt0G16p8+br19rvbHnTv9Z2vKtmMBYtt0/YdtnjVGpdc1T1z/366XwCg4SVvfuY19/ibX1Sw2d57X7dlmy1cscoad+zu1kmt/tXwUb03aB2UYNb9ej1HBQf+OmgICC3zs+9qugTr9Y+9YL2Hj3bTtD36jRzrGvNp2qulyrlu3TV/eAGAkubahlO87av1Tk5Lc8/RNDVaVW8EapXeqnsvl7xVo79o3cb70aX/YJdjUc6kXJ1GtmD5SrdN5i5Z5tbTL3LwCwC0PfQe/a7k1UhXx8By7z2o2/oDR4646X7C/o3Pv7F5S1e4bbBl5273XrOLGLztWaaCew97Dx50RSDte/X3jrd73DE3Y+Fi93p6L59Vqun2mV5LuTXNq9cYPnGKK+7Q66iFvhLY2m8un3bm9VXYor/d65/pnv98BQB6z+VqN3I9C6hIpkPvAa6BqqZ936JtaH4dk5pXvZCr8a6OCRVkzF263EpWqeUS+nrO+QoAVFShfJt641Buaemadbbe+w2rHiVeLV3OLUPhFwBoWTpu/OKM7xq2sEUrV7uh2NUTRukqtUPPUQGAXkPHprZB6+593ONX3fukK8Twj00tV/tCjT01XY2lJ8yc45a5Yv0Ga9G1Z2g4EAUFAFd4AcA9L73rqpv8BO/56Ob7p9/WcAePbtyLXwCg6qNoLUh1c16t3tWie+Co7Ba9jTt2dSfchm27RLRIVtKmapPW7mTRY9CI0ON+AUD5Wo3c/vTtPXDQJXiV/FViIUgfClUN6bl+AYBP3UOrwqp9z/45HpdoBQD6UP7kjze63gr8pJBPb0MJZq33A69/GErm+AUAOlEG108JDFWPvVLy6xyPB/kFALr46oL69PulcoQSekFbvRO1qsD++bo7rEy1ei5h/Lp3Ig8f83nwmIn2a+89apsG94MSyBo+QSfHRu2yP9ja1xrqQK38o42XnX4sw7r2G2KlK9cOHVMXUwDg0/jUuphVrNcsbO5swQIAJcvUA4O+iAwbNynifejvod7jv7v1Qe84KRl63C8AeOqD0hHDTYyYmJ1ML+dtlwuVnwIA7Rt1lR2+DZToVHWjts+sBUtCj4u6FdfjqqJUAlDHhxKJqhpbveFsrwA+7Zf3yn5nv7rhHlegU5S0v5QoDN5kDo9q3sUwPEEda1dCAYCKL5RAVaI22HpexTvfeMe6kq46VsLlpwBARWI6Lqs2bhV1+Ilj3ms16dDVJftVuCV+AYCSwP41JpzOu136DnZdxmsYDBk/bbYrYND5LNrnv++wMfaR9zlTl/4+FQCUrvy9zZi/KMdz9H7rtupgn1as5goWgrQN4voMdMl8vwDAp2V9WqG6zVm0LMfjEq0AQD3RqNW+fvD4SfBwOlfrfbXv2S/UGt8vAFBxgvZpOPUko2nqqcAvgojm1KnT7hyrecOvB76Vaze4LvZ7e18uw7eNCkS0r7T9/QIjUQHAd/Wbu4RSkJ6vHhRUsLBw2Ur3mM5tKrDQeSziOmoaxia7l4GpZwq2VJygXgQUC84sQ/RdQcUMwX0OADg3nTdXrFl/zl6ZNGSTkv+FdY6lAAAAAAB5FYsCgOnz5kck76PFxRYAKIKvdaGhBidqafz3//c3+6hCVZfoV3fqfov3p94v5VoHhz8nWgGAkv3K0yjvMWjshBwFA2r1XaFuE7e8u196x40fn3XiRKg1e5XGLd09qoSUFNfYTkluJcHVslkJWC1DhQGaVy3ljyYnR7wPP5Q0v/+1991rqcfQ8GmVGjRzj6uRqJK74euYnJ5mz370uZseXgAQP2hEqLffZWvX51ieekWo1ri1SxyrkaQ/TILGglerai1r9LScwzMoQa88j7Zf14FDc7TO13YaOn6Se54Sziq80OPhBQDKBalwI3yZ97/ynpumdRw1eZp7X1o3DQ2g4ze8O/3w0PSXS2Z3L69ei4+m5Nyu2k9qVa7pfgFA+DQ9rt6f1fNDcNlq0Kvp6h05/DOkFubK6fzsuttDCXk/lOx/t+x37nnvePtbj81Zssyue+R591iX/kNCvWMo9D4nzp5nj7/zqcttqWfa0OuXyH79pz4oFbFu5ysAcMs60yuFQsMPaMhtt7z3S4Yef+Stj91jz31cxhVGhL/G3oOH7OZnswtRzlcA4B93Jb+r5brgD592OCkp1DOFXwCgQpJPKlYPvT8NqZDztQ+6Xio03S8A8MMv3Lju4edcDi18WsuuPV1u9R/+eKNL+od/PrQPK9ZvFhoiggKAK7gAQNvhs29ruKRl+E31c9m974Drnl3dwWjMF/ELAG568pXA3Gd17jvInTC+rd/U3cz/vFpdd0LWheSZD0pHhLrC0IVILTp9KgDQBS44NIBaeOpCpwTn8ShjWIt6IVCSNT8FADp27vVOKkrCr1y3MTB3NrW2VoL3b4+/GGohqQIAfeBUXRS8ibZ05VpXAaSL3bn4BQDqimX9lgu/MaaEl1rG68OubbRo+erQNK1Lm/g+bt1UbRfcBwpVZun40Hg1ogSXqvdUUHChzl0AsNStW34KANSqV+Or6IKcW0vQzdt3uS5u/vX6u0I9E/gFABquIkjvUxdFjW10ofJTAOAqKAPHpopp7nj+LbeOOkeFU0XXv/71LrfuOpepsOSlT79020VFH8H9qAvetWe6glq88uwxUJQatOpgj3nHffjN5kdeede+qlIralIylq6EAoA1Gza7Qh8/eRznfR79aN+jn0vUa5palYfLTwHAzPmLrZR37lB38LlRF/dKKs+Yl91Fv18AoG72cysCWbB0pXtOH+/cKnoP+rtao1bWtEP3iKjasKVLvvcaPDK0DBUAfFO7kXf9yFn8tmXHTvvOO1fXbRn9cyxKXCtBnt8CAF1/1Jpe17DcVPHWvZ43n/+Z8AsANK5UMMmv64Sm6XyaFaVAy3e+AgD1gtKsUzfX+0Baerp7LDkl1eqoMKJCNTecTDgVALSIi8+1d5H13g8N12PC1JnuPN9vxBhX2KChF4L7SqEeETT/yIlTXWGErlXT5i5wr6NCjkre/tEwA+rBJrdjBABwfiPGT7bnve+IweT/a599GVEsGGsUAAAAACCvYlEAcL4hAPy42AKAvA4BoFCi+MUzyVr1Tqzu1kdOmubu7SsZ2KB9lxxJV0W0AgAlnrUMdS2uMck1nG54qPtwTdf46Erq6jm6v6/HNOzsjr37rOeQEe5vdWF/23NvuPvXanm8cfsONwSypqn1e/A9hMe5CgAefTu7VbiWH61VvFqga3p4AUDJyrXcY7rXrjHXg8+JFucqAPATsMp5qdV28LkqjPh/f7nT5Zy0fZS8Dy8AUA/RweeoEZDyAP/gbS/No2Gm1dhWiW6/14FoscH7nXTfmeIBDSMQnK6kdamqddx+KIgCAB3X6nHCHSd/vj3iGNFQ1785022+8kd6zlDv96WGE9DxeK7Cj2DkpwBA+zohrBgi6+QJ+9jbntoO1z/xsnvsSFKiXXXfk65YpXqzNhGvoShdNbsl/vkKAP737sfcsgePm2THT0ZO91v0+wUAew4cDBVmdB0wJGJ+zVPDWydNv9ACgDTvOd/Ubeym3fbs6xHLVPQfNS7U6wAFAFdwAYCSB6279XYfyupN2wQnR6WTlFpGK6no33j3CwDufyX3JLZOeOoeQ2P7nlDhwZlhBF789Ev7qEK1XENJCp8rAPCeM3VudqtP35qNW9xY6aq88RNUQeqWRUnoYJL1YgoA1DJWlWs6qSvxEI1aN2vMFVU7+Yl6FQAoMdygXVxgbrNlq2JXAKDPgMbF9ruW0cV30/adoena/xo6Qdv0yXdLRGz78GjXIzvZPmnWPPut94WhcmDIgXPxCwA69hoYnGRjp81065afAgD1AKGT8y+uvzui+3KfClc0RpC6Z9GwEeIXAKiLoSAlLv9UiAUAKtIYN21W2NxmO/fsdV9AfuZ9gQtS7woaZ8cvANBN06feK2m/vvE+e6tMxYj9Fx7+2O9FTa2rK9dtYg+/8m7ohvO7n39ji5evitoaOpaKewGAztUDRoxzSVeNNa/W2sGoWKeJS2rXatYuVCQj+SkAmOydL9TyW+O750bFAUre+/P4BQAq/gomuH1KgiuZ3n1A9jVRPbKoRbnGiY/rOzCXGOS67/epAKByg2bu3BBOyfiKdRpbs47dczwebvq8he595bcAQMl97Y9oLed9GqZGCfF9Bw65v/0CgGDPBaLvNAVRAKDvTJNmzXW9EyhZn30tWWZfeF+GO/boF/G6Sszru0RqWnaxQJCKmfRaI7wfmrpGxg8Y5o61Rt45OHI/nY1FK1aFjgG19Nd713o38H7olKlWxw3rMGDE2IieEAAAF67HwGERBQB9hp4tmCssFAAAAAAgr2JRALBm4yZr261HRAI/GBdbAKB5gq91MTFswmR3L1332pUIfuOLb9z9bQ2ZrG7Bg/NHKwDoN2KsW4buIz/5Xgl7rXS5qPF51dquK349Z8e+ffbrm+93wwir23R1Wa91aNervzXv0sMt77mPv7D4wcNdL7zKN6mb9eD6hMe5CgD8RnEffFPFNbgMPrfnkJHueeEFAGpxn51IrXnOZHp4nKsAQPksPa6hjv3tEB5qda1iCQ0t0LJrL1cQEF4AMHnu/IjnKIZPnGrvff2d3frMa27faF79W75O44geA/xYtWFjaD3VNXxwutZFXeFrXQqiAEAt1Ss3auEe13sMHhvhUbJyduJaSWd1pa8eipWkDr5ObpGfAoDS1eq4XjDCn6Ohk7Udrn/8Jff3waNHXAGAcnoqagi+hkJDaWt55ysAUK5QvaCPnprzWPFDQ2ZrOX4BgHqa8Ic+GDh6XMT8KupRzjD7uL2wAoDktFT7onpdN03DkQeXqRjqnSf+8/bsYQAoALiCCwBk6ep1ropJSWgdSOeihILGlNAYK7oJ73fd6xcA/NsN97hWgkFq8a8CA33I1NJUvm/R3v3df8Q4t9zcIjwR5RcAzJi/OPSYaLxz9SRw94vvuH0apMRBg7Zx7rnRCgCUaG7XM3u9wgULAHRMqQt99UwwZOykwNzZNP60qol0YfCTISoAUEVdo/aRH45YFgDs2X/QjR2vC8gnFaq7RHKpyrXscNg42L2HjXbT23TrE7Htw0PbUHS8KImtblOCSSBRN9/zl65wY9PvPZOw6j5wmBvm4Msa9QNzm0u+60SUewFAZOv8YAGAxgX/6Jtq9nfe/l2+dkNg7mxK6KsLFhUB+OvtFwC0jOuZc2Yr/AKA/7nzUdeNeTi/AEBVdkHBAgAVNWjfqjhHxSnB/Rce4du5KGk/rN2wyUp8U9XdbH7ijQ9ttHdh84+1wlTcCwAOHDrsWtSrxbWOHQ0PEgy1hG/snaPUwnrZqnWh5+anAECtB7/yvkC16Nwj1/OFrglKjK/ekD3GsF8AoNb5/pjxQUO9869aoo+ePN39rSIC/T1J44qp+jKXCC8Qyi4AaO7Ok+H2HzxsNb3rlZLL0RLLuu6p9bkKDqIXAFSzOYuW5nhcohUAqCv9MlXruB4NotG5Ta3wNXRDUkr2dvYLAGYtWByxTfNUAJDLNtawENW940VFe9u8H0MdvR906s1BBVdBKgCo1bxd6JwfNHnWXFd84q+zuvZXccHshUsi9lF4RCsA0TGja5iOrUbeF+SPy1d12xYAkDfJqWned+H4UPK/Ut0mlpKas+epwkABAAAAAPIqFgUA+w4dsi59+0ck8INxsQUAi1eeOyl+vtB7VM/JLqH7wDP272daYavRV7TkcbQCgFUbN7nnXOM9XwnWQwlHc4S6Jd+ya5dr6e93c65//eGZS1Wp5fIfagCpccw379jleub9w71P2BPvlnAJ0luefs0lN4PrEx7nKgDwu03X+PDBYQ3Uy4HWQdPDCwAad+zmHlNxgv9YeOj9q3fL7oOG28GjCe4xVwDwYnZifeDYCTnmX7UhezspkTpy8vQc3awrlq9d5wodVBSh5LceCy8AmL5gUcQ6KLScI4mJtnTNWtdq/p2vKrkhp1VQoTHeg/MrdDyqh18tV0UfwaT3Xm+63ztEQRQAaB1bde9t/3TNLa5XaS0//BhRDwvaf9nHyV73nMlz5oWS9dPmLYx4nXXeb71GHbq6faCu+kOvXyJ7aIPH3v0sx+dJcb4CACXCgwn7YAGAjhd1s6880Auffum2Zfj8u/btDxVXnK8A4J6X3nHzKf8TnC/D+1vHo6b7BQDaTv7nRr0MBJen40X7U9NzKwDQ9p8+/+yxpPdTt00nN+yGcpfB96PPXZPO3e1n197qnk8BwBVeAKBEgFru6ULwX3c8YsPGT4na+lbjMyv5rxO4xnFRUsjnFwDogNIY0sGkhE6WqtpS6+udZ7rFHz9tlrvw3P782US5TwkljTWjbmaWhN3Yz60AQMlPJZd1oek5aESOabLdu0hozHqtX7AAoEVcT/up97zKDSNbtAcLAESJbS3nSe+EezTh7DYQJSxKfVfLrWOl+s1D26GoCgDKft/AXYxrNm9rqenprghA3QGpIs1PhC1ZucZu8E6Gf7j3yYjxrvUZaR7Xw/7y2AuhsbPV1fybZSq65epYCVqs5T3xsv3+rkfdSU7GTJlpv/eOrf+49YEcCTgld9Qtv7ZnsABA+0lJ/hc+KRN6zBcsANBWVrc/OobV/b3WO5w+4199X98duzrWfcWpAEDbUsNsqGiiWpPI3jw0TpAu5hoLSl3PXCp0bp67aKm9/NHn1mfICHd+LgrFvQBgypz5Lvk8wfvS5BduRTNj3mLXsr1+606h5Gt+CgASvOf+f/buO0iKK937fMTed2M39t19992IjfvP3jtGY+/cmZEbeSQQQg4JCWRAQhIgEAgrgQAJL5wQ3nvvvffee++9903jjQRIc8/m76k+1VnZ1U03whbfT8QJoLKyKvPkqcwkn+eco2B6mep1bB7hKL2mqQeqBedvH7D2CQAKpCvQHw0CHzuZZsPmKzC+a98Be03XJ+1fy+BG3wfKPW1rn2Fj3DfN27q1wX8IvewSALSPmiJBn+fPe2FKONPoBDakfeQ3q6l0tN7UuQss8S0sWQLAjuBcrtEPOvcbnCXYouuHgvRlIvVwKxIA1AYGj51o780ueK7PHj1lhr1HiSE6Jj0Gj8hyPEQJAArwz5y/OEuCkc6/Or4a6WDX3gP22tETJy2ZQOdjPyKLp23TlA7ftukS7GssoWvrrt2uU5/Bdr3ye6zt04gOSiQYEbmuAwDyRsH3GsH1uFbjlgmJwncSCQAAAAC4WbcjAUC9uafOnZ8lgB8teU0AUPA0+l15Lf1HxXq/67m2/lRJFnBVSZYAoB71ipXoWbl6jZ+7eDH+/rTTpy0gq6Hp3yn/hTt8/Li9rqBjr+Gj7Tv/998/Yt/5aqnPLTFAwWIFpxUMV3xGy5L1Uo+WnBIAJs6eZ69riP1WPfrG507Xd00MTXkcTgDYFvxfQvuq6Zu/79o74fOWr9togXo9u1ev8bMXzse3oVDJcvZZn9dpnLCO6unRjOkNFBg+lFEXKqqXlz+KraeOoIp/6fWcEgD2HT7s/pD/Dfefhd62WMYPGUH8NZu3uj8ViI3gPHrazIR1fFH91/6ujcWx/t+Hn3VDJ06x4e61TG1QcQF1ztVn3IoEAJWZi5ZYz3kdV03voN+EX7YrqPP875eydtKwXRd7TfunKSL0WU8VKeEOHD0af7/amGKKipEpDqU4rF+mEQS0zsOvvuO27t6TsG23IgFARdOD+/akkQ10nPS6guc67touLb9RAkCj9l3sfUoK0cil/nXVjabgUMdhLfcJAJpCvUW3Pva7UFxu0uzEkQMGjJ4YD9RHEwA00oZe/7//8pTrOzJx6hBNDet/A4p7hX/DqzfF4nNapkICwAOeACDa/7I161vPfp0kP6xa23o4KtA8ff5i672vgK5Ons8W+8it3ZTZO1R8AoBOQOqBXLt5G1v30LHjbs7i5dY7Xw28TY/+8XV0TMrVamA/Lk0DsHzdButZqOHJdeFRw1fCQVh2CQCiXucayeBfgh9Z4/bd3M59+y17Z9bCZZYVpx+3Gnw0AUABBG33Y6+/Z/uqnrAnT8UefCVLAFC7KvZZNUtmeKNMJbdoxRp3ONjPdVu2uc+CH6kytXRyCSc13MoEAB0fDXM9IDhpRcuUOQusTWuI5d5DR9tF/N2gzo6eSLPPOHDkqM05os+YtWhZxm/kv1zTjt1tu3Vi1s2CAmI79u53Lbr2sVEDFIQ+kZYe3xb1clXm0f/xp8dd6+793O59B63etA1PvFHcgtDhfT145Jh7JmOOGmUnaTu2BMdZNwZqc3o9mgCwZuNWuzHRkEEjJ023QJ8CfxJNABBNz/B6cNOhUSXeKF3RRrPQ8d+wbYedPLVNL5f8LCFglkoJAKLfjzL9/ttDf3dfNmwRHMN99htctnaDZV9q2+q27GBtCYlSOQFASV4KWCsAu/9wLAErO5eC6+FXTVraUO8bg9+O/JIEAFm2ZoMFaavWbxZcD5YF59d0e8ivXvIK5FcIbvK27twdf79PAFBgXL3wR02ebiMBaDs2bN1uw+ErOWDY+Cmhb3Fu+ISplrzQofdAS/rSdh0Kzj19M4abr/N9u2C7M0eIyS4BQDTHfbUGzWy7FXzXuUfJTxu37rCe7vq8WKA/8Tera8GnX9W1YftVf9pPH9hPlgCg66AP8uv6uO/gIdtPfb+mLFAdNGnf1aUHn+PdigQA0fXOJ3vsDs6vx9NOZRl9Q9nIeo8+s0JwHs1u+hAlAGgf9J5x02aHjtcOm15C9aVkAp8UofuwsdNiozi0D46XjoHqV9cKXbtUT62Cm2O9JjqWOhaq153Btel8cH3V1AW9h46ykRhWrEs+ggIA4P5BAgAAAABu1u1IAFA5firNte3eK0sQX2Xw2PEWLI+us3T1mizvVWkTfM6UOXOT9tLPa1FQ8bfPvhwP8P2j8PtZeqf7kiwBQEVTP/5PBYx/Hesxr2f5TTt1d0+//YEFMbWsU/8hCZ+l3v6/y/eqfafiDupk6JepJ7tPSNCz7+OnTmXZlmjJKQFA5YMqNS1uo+96/ZMKrnG7rha30vTEes6t9cIJAAqSN+3Yw+JQWqZg9Dct2ll8RM/R9ZqmSp65aGn8O9RprkqD5hYwVpD21Y/Lu6rBv/U8XcuXrF7n/vXR523fFIgu//W3rlL9pu73z79uryl21G3w8Pjn5ZQAoPJYcKy0nmIrbfsMdEvWrnNfB9uo3tyqN/Woj67jiwLs/1GwiK2v46ORqhUHe7tcVdtnn3xxqxIArvz4YyxOF9S1Pl9xBx3zWs3buD8XeMO246HnXnE79u2PrzNy8nRLCrBlQVup3vh7V7FOk6BOYu31/wzaYvfBIxK+X4klVv/BcVYSQOWgftXJS8tuVQKA7WdQT77d6Lg98eb7ljShOJNifXr9RgkASjJRrNMnu5SqXsfiLS+WKGNxKZ8c4xMAtI7qX51W/yWoE9Xj+xVrWAdOxUT1mt+maAJAetA2NdW4lmkaBk2HUbFuY4utqZd/2Vr1rc70G3m26EcWw63wTSP7rWtb/O+RBAASAIyG1VXvdp3wFXTVsCNqIGooCtIqiK5e8hoeOconAPwhOHFpnncFOf+f4EekrCqdoDUHTcM2nbP09E87fcZOAr999hU7wenkoPerkZao9JU96A/LKQFAvRInzpxn26+Lmj5PJ0IlJJSoXMvVaNzSPjuaAKD28NnXsR+G/+GOmDjdliVLABBd3HXy00nzfw1+TP/6cD7rEa/t/6ja1zaHdNitTADQMcmu6OSjQMroqTMtcK/5RdQj39NvYvbi5TY8z//3RAG3ZNU6e10XJl0sNJ+I6k3HX/vzP/7jSfdm6UoWTA/3Gv5n8DkTZs6NTQcRXDz/R0Z9/0vQZtSjX/Mzn41MBaG5bR5+pZjV7//8z6dtSoAni5Rwrbr3tW2PJgBopACdPDVygI7LfwvWa9c71ns/WQKAqGeuMrY01L9OnDp2SghRcP3Tr+rZEOdhqZYAIBoWW9usNqWkF/2pdq860agayYbvRmonAKxct9ECyQo0hwPg2Zk6d6G9v9+IsXat/KUJADp3LFy+OrhJ7+LKBTcmCuSWrVnPAst6bfGKNQnnF58A8GWj5sF/jOa7OsFNcPlaDW2ofI0koASFUZOmZ9kX/edn+IQpllSgYLQC/GWq17W54jsE545oj8acEgBEyQbfdepp26tt1YgDlYObyu6DhlvgWcHraAKA6kvJc9pWBbE/q93AzV64zJYlSwAQBbmHBNcaTXmgelfPeH12leC7ugTnuP0Zo+Z4tyoBQPXRqe/geDJDpW8aW+JBlBIR7DP7DEo6xY8oAUBtQUkYSgD8rGYDmzpA9a/9UhLHhYuJIxyo3ej91Ru1sNEDKgWfof1W3bXvPcAdPJK5LXbtCv5zpiQWtY0GrTq5KsF/Bj4Pbmq7BP8Z1VQJAID7GwkAAAAAuFm3KwFAZebCRVmC+So9Bw+zYP/6rVsTyrhpM7K8V2X4hEkWbI5+/s0UBfsbte9qz7X17Hv8jDlZ3uNLdgkAGi24x9BRNjqzD36qKIahOE+bXv2zDOGv3tKa813vUyB36+698WXnL110//ZUQVumgLJ6z0e3JVpulACw78gRV7Z2Q4u5/MtvYsFMxSvUya9Y+Wr273ACgN9GjYasOIcPiNt6f3nSgrSjp83KkiyxdO169+rHFawDod6rjqmjps6wZQriDp0wxYaQ/78yOpiq6Pm+Yi+aVtpPk6ByowQABZA1173vra+i2IeC3BoaP1rn0aI4TeHSFW19H+DViNEaRt4PP3+rEgBUNB1EzeatLWFBQWW/zWpTGjlh2oLFCQFzbX//0eOtE7He47dRx0JTM6td+d73vpy9eMEC6epV74+zRp/QsluZAHAsLc16/z/62rv2e1D5x5vFref+Sx98ap9XuEwlSyQJrxcumnph+sIlNjq49s8fPyWJaBqOAu+XstfCCQBqb/OWrXCFS1W03vyaxlr1otipkir0utaJJgCoKJapeJKv+//t949ap08t0wgL2n913Fb8R8v/e9CGVfdqD2qjeo0EABIA4lRn6sk9dd4i13vYaFenRXvL6hkbnBgVSA4P3x7mEwD+9EJh60G4euMWm1tePcs1p8qS4MSkHtrJ6DgsWL7K5olX4LRz/yFu8pwF1uM8GtzQXBcDRk+wnorZUU/xUVNmuLa9BrguA4ZZMEvv11w0A8dMtCBxlAIw+s5ug4a7XsF+Hzxy3F7XsNLDJky1YYej1G4Wrljt+o0c7xq162LDrGj+ad9jMWxvUKeDg/rYtD1r70kNka0f8rR5iYGkKPXq12gF2v/sypRgXzWcsupT/166el1CYE0UwJu7NFaP4eQAJVAsXbPeDQxeb965p2vfZ6Bl7qlHZvQzPAVodOPQvs8gC6br5L5y/Sb7XUXpWK7dvM3qV/PxqH1sDS4+J9NP27ZsC/4ePd46SSobsVdwM9I9qF8fwFeW05CMESqi9N3zlq6w9qT2p++btWhpwpQVnuYc13er/Uap/andLwiOcW5ptAHtl/5M5ser1yxxQtvuA6myaOUaa7PR4Lx6Y2tUh8HB+6PUq1g3H2qb0SG5ta8aTqbrwOGuWaeedjOnOtF5DsmlcgKAzok6B2cX6I7SOURtUr29/bVS/9bvzZ8L1ObUw109vPWe3FAv+hXrNrqpQZtWu1Zigtp8dMh4nwBQq1krCxrvC87DOpdNmDnHEnN27tmX7VQR2lYlx+gcOC74/er8oWHko8lnou9XwkxOI2IoSU3v0zYrAK391VQpR4K6VJ1Gf7Oi79J36v0aLUU91UW/S416sDu4FkUpmUH1uyg430wMzhFzFy+30QaSBbbPBNcYHY8TpzJHZfF0jbZjFZxPo+eFZDSNjY7J7EXLYtfpjGlbPJ2T1RNfwfz5wXVDyV/JKAGgdfe+dj7XaAJKLpsSnIN0HLRf2d07KJFE26pkhokz5rpZOl7BdSLZ8dI5U21Z57IxU2fa5+t6E526BgBwfyIBAAAAADfrdiYAKFg5YcasLAH9vJSOvfu5rbt2ZfnsX1L2HjpscZd+o8fHh8dPVhQQHzBmghsyfrKtE16mYK2Gnx8yYbL7rmsviwnovRrpOFkQVK8tXr3W9Rkx1j4v/J6rQZk8d4EtW7F+Y5Yge7Jy7tJFN2nOfFsnHMQPl+Pp6RYE7thvsD3rHz5pmo1cvDo45lpPUwVEA8p6Br5w5WrXf/QE16xTD9eqZz83fPI0t+fgoSyfr6IAsoae17P29v0GuR5DRwZ1lfleJTNs2rHLjQg+o1WPflZX2v/1W7dn+SzV6YhgG7Vth0+cyLJcRcdh5JQZrmX3vq5eqw62bzMWLsl1gogSJ0ZNnWnzvGto/gmz5tpnzl++yr53+oLFCe9PP3vWXlfvfI32Gf08jYig5YtWrUmY0sIXvaZkBr1H8bvWPfsHdTHd7dx/IEvw3RfV57BJU20fm3Xu4fqOGmftIru2eirYxslz57uug4ZbfShgrtcV5NYx13eH57rXcddrao/RtqbXNGS+kj2i36NzxJqg7UyYNc/qTcfw9PlzLt+7n1jygRJOoutEi75v+959VgdqD+36DLTtUT3PWbrctmvVxk1ZfkMasXbklOmWBNEuOG7jZsy2Y6kEFK2zcGVmgoMvql9NX9EvqL92fQa5PsFv/kzG9BUqF4L6VBKGppRQu1QbXrd1m9X/wLET7XOj2/FLCgkAt9GdSAAIU53p4byGj76RcAKAp/pXMkA0qJsdDUWv45KboEVuKGCe18/SPud2ez29X9udXZD8fmPH7fr1bAM2yei9Wic3dad60mgTuXmvp7aR1/pVoErtL7uA1YNAw23ruKj+kLNUTgC41+i8nNO5OZwA8GOol7+uRbk9b+h9ugbk9byRHW1vXj/rZq4novPpnf7N6jyZbFt37dtvvfPrB/8ZySnQ7hMAfAKcPkl1luwzk4kdr9zVsd6r+7i8fD4A4N5HAgAAAABu1u1MAFA5fe6sGzttepbAfm7L9j17bmkQ7nYUBa41umY0mHqvFAXhb2b6hMvBOuq1HX09u6KAa3iu+2jRsPiqq6vXsy7LS1HChALrik3mZrSEZEXr/5CHffulRW1DxyAv9alttHaVZFmyorrPLqnglxQlSvwh/+uuaPlqNgpDeJmSYGyk74cedq179Muybk5F7SEv9WHrBO/P63FT3audZPf7VJ3daPSIW1FIALiN7nQCQF4kSwAAgPsFCQD3juwSAHBn6b6px+ARNvz/pFnzoosTRBMAAADIKxIAAAAAcLNudwKAL1t27nIdevXNEuBPVtr17OOGjB3vdh84kOVzKBTKnS3L12+04fE1XL+G6l+7dbuNKKCRJN78tLJNh/6vj73gNu/anWVdSmYhAeA2IgEAAG4PEgDuHSQA3Bs0VUHNJi1d5XpN3LnzF6KLE5AAAAD4pUgAAAAAwM26UwkAKlt373bjps1wg0aPdd0GDHKd+w6w727bo7f9vc+wEW70lGlu0/YdFmuKrk+hUO5O0VTn//7US+5/+fVfLRHgV0+/5P77n2JJAX/MX9imdYiuQ0ksJADcRvdyAoDmlv6mRXtX/dvvo4sA4J5HAsC9Q/Pe9x42yg0ZO9GmsMCdp/unDVu3B+1xuJu7eHl0cRZ9h4+xUQIuXb4SXQQAQK6QAAAAAICbdScTAFQ03PbJ9HS3e/9+tz24f12zaZPbuG27/f3QsWPu3MWLWdahUCh3t1y6csVNnDPffdn4e/d6qc/dE28Wd2+UruRqf9fWzV264rZMPZBqhQSA2+heTgDQXLznL15y5y9cjC4CgHseCQD3Dl27L1/5wRIBmOP97rkW3CcpoH/9+k/RRVnoeP3441WOFwDgppEAAAAAgJt1pxMAKBTK/VmuXr9m5wkN/3/gyFF3LC3Nnb900V6PvpeStZAAcBvdywkAAHA/IwEAAADg7iEBAAAAADeLBAAKhUK5/YUEgNuIBAAAuD1IAAAAALh7SAAAAADAzSIBgEKhUG5/IQHgNiIBAABuDxIAAAAA7h4SAAAAAHCzSACgUCiU219IALiNSAAAgNuDBAAAAIC7hwQAAAAA3CwSACgUCuX2FxIAbiMSAADg9iABAAAA4O4hAQAAAAA3iwQACoVCuf2FBIDbiAQAALg9SAAAAAC4e0gAAAAAwM0iAYBCoVBufyEB4DZq36uvGzByjPuv6AIAwC8SSwDoEX35jus5aJglAHCeBwAAD5K006ftXowEAAAAAOTVus1KAOjhzl44nyVgRaFQKJRbU5QA0L5n3+gp+JZ7IBMAug8c6voNH+WuXbseXQQAuEk//fSzmzJ7ruvQu3900R03YORY17X/IHf16rXoIgAAgJR16Mgx17Z7b7d734HoIgAAACBHG7ftcG2693JH005mCVhRKBQK5ZeXSz9ccX2Hj3TdBwyNnoJvuQcyAWDs1Bmu56ChLi39dHQRAOAmXQjO/yMnTnZDxk6ILrrjpsyZ5zr16e+OnUyLLgIAAEhZq9ZvtFGQDh87Hl0EAAAA5Gj3/gOuS7+Bbu3mLVmCVhQKhUL55eXoyZOux6AhbszUGdFT8C33QCYAbNmx03Xo1dfmtNG+AQB+uf0HD9sD52Vr1kYX3XHbd+9xbbv3csvXrHP/5DwPAAAeAD/9/LMbMma8Gz5+kjt34UJ0MQAAAJCj9DNn3cBRY93QcRPcD1d/zBK4olAoFMrNl6vXr7nVGze69r36uM3bd0ZPwbfcA5kAoO3tNWSYGzVxirtw8VJ0MQAgj65fv+5mzl/oug0Y5NLS06OL7zid5/sMHeEGjxnnzpw7F10MAACQcrbt2m0JkEtWrg7+z/5zdDEAAACQIyWUzlm8xLXu1tNt2707S/CKQqFQKDdfTp8760ZMnGzx6R9//DF6Cr7lHsgEAFm3eYtr17NvxsORf0YXAwDyQHOEdejdz81dssyuDfcCewjeo4+bF2zTtevXo4sBAABSxtETJ22au56DhrnTZ89GFwMAAAC5knb6tOvUZ4DrN3ykO3LiRJYAFoVCoVDyXn64dtUtXLHStevZx+LTd8IDmwCg7Z04Y7Zr2aW7W7FuQ3QxACCXtuzYZefSwaPHudNn753e9hqVYPq8BbZti1esji4GAABICSfT012/4aPsnmfnnn3RxQAAAECebN25O/asb8w4u9eMBrIoFAqFkreiaZN1Xp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And if we click "View more details," we can have a deep dive into more metrics to give us a clear picture of how the query executed and why it might be slow.

Here's what a slow query might look like:

![Expanded Query details in Atlas UI](data:image/png;base64,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)

If `docsExamined` is huge and `keysExamined` is zero (or a low number), you're scanning the whole collection. That's your signal to add an index, or rewrite the query.

You'll also see the full raw query object, which includes the query shape, execution plan summary, and any JavaScript used.

Start with these three:

* `millis`: How long did it take?
* `docsExamined`: How much work was done?
* `keysExamined`: Did the query use an index?

```
"planSummary": "COLLSCAN",
"docsExamined": 21349,
"nreturned": 8,
"keysExamined": 0,
"cpuNanos": 236256326,
"durationMillis": 656,
"queryFramework": "classic",
"command": {
  "find": "movies",
  "filter": {
    "$or": [
      { "directors": { "$size": 2 } },
      { "year": { "$lt": 1980 } }
    ],
    "$where": {
      "$code": "function () { return this.cast && this.cast.includes(\"Robert De Niro\") && this.runtime > 90; }"
    }
  },
  "hint": { "$natural": 1 }
}
```

This is textbook collection scan territory:

* COLLSCAN means the query didn't use an index
* 21K docs scanned, only eight returned
* 656 ms runtime, mostly wasted doing extra work

You should consider taking action when the profiler reveals signs of inefficiency. For example, if the `Examined:Returned` ratio is high, it often means MongoDB is doing a lot of work to return very little, suggesting it's time to add an index or restructure the query. If the query didn't use an index at all and it's one that runs frequently, that's a strong signal that an index should be created. And if the execution time (shown as `millis`) is consistently high, it may be worth optimizing the query logic, batching results, or even rethinking how the data is being accessed altogether.

Did you know? The [Performance Advisor](https://www.mongodb.com/docs/atlas/performance-advisor/?utm_campaign=devrel&utm_source=third-party-content&utm_medium=cta&utm_term=tony.kim) (next tab over from the Query Profiler in Atlas) can suggest indexes based on these logs. If you're seeing a lot of full scans, this is a great next stop.

![Perfomance profiler in Atlas UI](data:image/png;base64,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)

### A few important considerations

* Security: The Query Profiler may surface query parameters, which can include PII or sensitive business logic. Ensure this visibility aligns with your security policies.
* Performance: Changing the profiling level on a production cluster (`db.setProfilingLevel`) can affect performance and logging volume. Avoid overly broad settings in high-throughput environments.
* Limitations:
  * Up to 100,000 operations shown per selected time range
  * Up to five-minute delay between log ingestion and display
  * Heavy spikes in log volume may temporarily halt log collection
  * Logs are sampled and binned, so zooming is required for granularity

You've now got full visibility into what MongoDB is doing under the hood when it runs your queries.

### MongoDB Database Profiler

Atlas gives you a macro view, what's noisy overall. Shell gives you a micro view, what's happening right now. The profiler collects statistics for operations like:

* `find()`, `update()`, `delete()`, `aggregate()`.
* Time taken to execute.
* Whether an index was used.
* How many documents were scanned vs. returned.
* Command size and response length.

Let's launch our `mongosh` and connect to our cluster. Now, let's tell MongoDB to start tracking slow queries. First, we'll select the `sample_airbnb` database (`use sample_airbnb`):

```
db.setProfilingLevel(2);
```

This will log everything. It is excessive, but for our examples, we want to see exactly what's going on. Make sure not to leave this on for your production database, though. You will feel it!

It's important to select the database we wish to profile before we turn on profiler as it is a per database operation.

We can adjust the threshold based on our use case.

* `0`: Off
* `1`: Log slow operations only (`db.setProfilingLevel(1,100)` will log anything slower than 100ms)
* `2`: Log all operations

Check that it worked:

```
db.getProfilingStatus();
```

We should see something like this:

```
{
  "was": 2,
  "slowms": 100,
  "sampleRate": 1,
  "filter": { }
}
```

### Let's make something slow on purpose

We're using the `sample_airbnb` database now (`use sample_airbnb`). This one has a `listingsAndReviews` collection, great for some slow fun.

```
db.listingsAndReviews.find({
  $or: [
    { "address.market": "Berlin" },
    { "review_scores.review_scores_cleanliness": { $lt: 5 } }
  ],
  $where: function () {
    return this.amenities && this.amenities.length > 15;
  }
}).sort({ description: 1 }).hint({ $natural: 1 });
```

The `.hint({ $natural: 1 })` tells MongoDB to read documents in the order they're stored on disk, bypassing all indexes. It's a guaranteed collection scan, perfect for generating profiler logs, terrible for performance.

Let's do another one with writes:

```
db.listingsAndReviews.updateMany(
  {
    $or: [
      { "address.market": "Berlin" },
      { "review_scores.review_scores_cleanliness": { $lt: 5 } }
    ],
    $where: function () {
      return this.amenities && this.amenities.length > 15;
    }
  },
  {
    $set: {
      needs_review: true
    }
  },
  {
    hint: { $natural: 1 }
  }
);
```

Now, we can go check what just got logged:

```
db.system.profile.find().sort({ ts: -1 }).limit(2).pretty();
```

And we'll see something like this output I abbreviated:

```
{
  op: 'query',
  ns: 'sample_airbnb.listingsAndReviews',
  command: {
    find: 'listingsAndReviews',
    filter: {
      '$or': [
        {
          'address.market': 'Berlin'
        },
        {
          'review_scores.review_scores_cleanliness': {
            '$lt': 5
          }
        }
      ],
      '$where': Code(
      'function () {\n' +
        '    return this.amenities && this.amenities.length > 15;\n' +
        '  }'
      )
    },
    sort: {
      description: 1
    },
    hint: {
      '$natural': 1
    },
    '$db': 'sample_airbnb'
  },
  keysExamined: 0,
  docsExamined: 5555,
  hasSortStage: true,
  nBatches: 1,
  cursorExhausted: true,
  numYield: 1,
  nreturned: 12,
  responseLength: 73402,
  millis: 46,
  planSummary: 'COLLSCAN',
  planningTimeMicros: 22775,
  execStats: {
    isCached: false,
    stage: 'SORT',
    nReturned: 12,
    executionTimeMillisEstimate: 23,
    works: 5569,
    advanced: 12,
    needTime: 5556,
    needYield: 0,
    saveState: 1,
    restoreState: 1,
    isEOF: 1,
    sortPattern: {
      description: 1
    },
    type: 'simple',
    totalDataSizeSorted: 83047,
    inputStage: {
      stage: 'COLLSCAN',
      filter: {
        '$and': [
          {
            '$or': [
              {
                'address.market': {
                  '$eq': 'Berlin'
                }
              },
              {
                'review_scores.review_scores_cleanliness': {
                  '$lt': 5
                }
              }
            ]
          },
          {
            '$where': Code(
            'function () {\n' +
              '    return this.amenities && this.amenities.length > 15;\n' +
              '  }'
            )
          }
        ]
      },
      nReturned: 12,
      executionTimeMillisEstimate: 23,
      docsExamined: 5555
    }
  },
  ...
}
```

We're looking for these fields:

|     Field      |                                                                                                                                    What it tells you                                                                                                                                    |
|----------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| `millis`       | The time the operation took to execute, in milliseconds. This is our go-to number for, "Was it fast or slow?" Keep in mind it includes everything: query parsing, planning, execution, and response serialization.                                                                      |
| `docsExamined` | The number of documents MongoDB had to read from disk or memory to complete the operation. This is key for spotting collection scans or poor index use. The lower this is, the better it should match or be close to the number of results returned.                                    |
| `keysExamined` | The number of index keys MongoDB had to scan. This helps us understand how selective your query is. A high number here (with a low docsExamined) often means the query used an index efficiently. A value of 0 means no index was used—i.e., we're likely doing a full collection scan. |

That's step one. You've got the x-ray. Next, let's grab the scalpel: We'll dissect how MongoDB is actually executing these queries using `explain()`.

## 2. Understanding execution plans with `explain()`

MongoDB's profiler told us what ran slow. Now, we want to know why. That's where our `explain()` comes in.

When you run a query with `explain()`, MongoDB walks you through how it planned and executed it. You get details about indexes, scan strategies, how many documents were looked at, and how much time was spent. It helps you detect when you're scanning too many documents, spot missing or inefficient indexes, and validate whether your query changes actually help.

### What we'll need

Before we get started, make sure you have:

* `mongosh` connected to your Atlas cluster.
* A sample dataset loaded (especially the `sample_mflix` database).
* Permission to run the underlying command—e.g., `find.explain()` requires read access only—to use `explain()`.

### What is `explain()`?

`explain()` gives you insight into how MongoDB processes a query: the winning plan it selected, whether indexes were used, and how many documents were scanned or returned. You can use `explain()` on:

* `find()`
* `update()`
* `delete()`
* `aggregate()`

The method comes in two syntactic forms:

```
// Most common usage
db.collection.find({ ... }).explain("executionStats");

// Alternative chaining syntax
db.collection.explain("executionStats").find({ ... });
```

Both syntaxes are valid, but the first is more common in shell and scripts. The second (`db.collection.explain().find(...)`) is helpful when chaining query modifiers like:

* `.sort()`
* `.limit()`
* `.projection()`
* `.hint()`

For example, let's switch back to our `sample_mflix` database:

```
db.movies.explain("executionStats")
  .find({ year: { $gt: 2000 } })
  .sort({ year: -1 })
  .limit(5);
```

This version lets you see how all those combined modifiers affect the query plan, without needing to nest multiple `.explain()` calls or wrap in extra parentheses.

This [returns a ton of useful info](https://www.mongodb.com/docs/manual/reference/explain-results/?utm_campaign=devrel&utm_source=third-party-content&utm_medium=response&utm_term=tony.kim). Here's what to look for:

|         Field         |                      What it tells you                       |
|-----------------------|--------------------------------------------------------------|
| `executionTimeMillis` | How long the query actually took to run                      |
| `totalDocsExamined`   | How many documents were scanned                              |
| `totalKeysExamined`   | How many index entries were scanned                          |
| `nReturned`           | How many documents matched the query                         |
| `stage`               | What kind of scan was performed (`COLLSCAN`, `IXSCAN`, etc.) |

Here's an abbreviated version of the output:

```
{
  queryPlanner: {
    winningPlan: {
      stage: "SORT",
      sortPattern: { year: -1 },
      limitAmount: 5,
      inputStage: {
        stage: "COLLSCAN",
        filter: { year: { $gt: 2000 } }
      }
    }
  },
  executionStats: {
    nReturned: 5,
    executionTimeMillis: 96,
    totalDocsExamined: 21349,
    totalKeysExamined: 0,
    executionStages: {
      stage: "SORT",
      inputStage: {
        stage: "COLLSCAN",
        docsExamined: 21349
      }
    }
  }
}
```

How to read this:

* `stage: "COLLSCAN"`: MongoDB scanned the entire collection (no index used).
* `docsExamined: 21349`: It had to read 21K documents to return just five.
* `totalKeysExamined: 0`: Confirms no index was touched.
* `stage: "SORT"`: MongoDB sorted results in memory.
* `executionTimeMillis: 96`: The whole thing took just under 100 ms.

Even though it worked fast in this small dataset, this plan doesn't scale. A filter + sort like this should ideally use a compound index—e.g., `{ year: -1 }`.

Tip: When using `.explain().find()`, the result is a document (not a cursor), so you get back the full plan immediately without needing `.next()` or `.toArray()`.

### Verbosity modes

The `explain()` method accepts a verbosity mode that controls how much detail you get:

|            Mode            |                                  What it shows                                   |
|----------------------------|----------------------------------------------------------------------------------|
| `"queryPlanner"` (default) | The query shape and chosen plan—no execution                                     |
| `"executionStats"`         | Runs the query and shows real metrics for the winning plan                       |
| `"allPlansExecution"`      | Shows execution stats for all candidate plans—great for debugging plan selection |

Important behavior notes:

* `explain()` ignores the plan cache—this is intentional so you can inspect the plan fresh.
* It also prevents creating a new plan cache entry.
* `explain()` is supported in all MongoDB Atlas, Enterprise, and Community environments.

Now, let's add an index:

```
db.movies.createIndex({ year: -1 });
```

And once this is created, we can run our query again:

```
db.movies.explain("executionStats")
  .find({ year: { $gt: 2000 } })
  .sort({ year: -1 })
  .limit(5);
```

In our new (abbreviated) output:

```
{
  queryPlanner: {
    winningPlan: {
      stage: "LIMIT",
      inputStage: {
        stage: "FETCH",
        inputStage: {
          stage: "IXSCAN",
          indexName: "year_-1",
          indexBounds: {
            year: ["[inf.0, 2000)"]
          }
        }
      }
    }
  },
  executionStats: {
    nReturned: 5,
    executionTimeMillis: 1,
    totalKeysExamined: 5,
    totalDocsExamined: 5
  }
}
```

What we're seeing in the new `explain("executionStats")` output is a radically more efficient query plan, thanks to the `year_-1` index we added. Instead of scanning the entire collection and then sorting the results in memory like before, MongoDB now uses an index scan (`IXSCAN`) to jump directly to the relevant documents, already ordered by `year` in descending order. The `FETCH` stage pulls only the actual documents for the top five matches, and the `LIMIT` stage stops execution as soon as it has what it needs.

As a result, MongoDB examines just five index keys and five documents, returning the desired results in a single millisecond. No in-memory sorting is needed, and there's no wasted effort. This is the kind of plan we want to see, tight, precise, and powered by the right index.

### Let's use `explain()` on a write

Unlike `find()` or `aggregate()`, you can't call `.explain()` directly on a write operation like `updateOne()`. Instead, you'll need to use the lower-level `runCommand()` method to get execution stats for a write.

Here's how to do it:

```
db.runCommand({
  explain: {
    update: "movies",
    updates: [
      {
        q: { title: "The Matrix" },
        u: { $set: { status: "classic" } },
        multi: false
      }
    ]
  },
  verbosity: "executionStats"
});
```

This runs an `updateOne()` under the hood, but wraps it with `explain` so you can analyze its performance—just like with reads.

And here's what the (shortened) output looks like:

```
{
  queryPlanner: {
    winningPlan: {
      stage: "UPDATE",
      inputStage: {
        stage: "COLLSCAN",
        filter: { title: "The Matrix" }
      }
    }
  },
  executionStats: {
    nMatched: 1,
    nWouldModify: 1,
    totalDocsExamined: 7675,
    totalKeysExamined: 0,
    executionTimeMillis: 7
  }
}
```

This tells us that MongoDB had to scan 7,675 documents just to find one to update. That's a full collection scan—confirmed by the `COLLSCAN` stage and `totalKeysExamined: 0`. It matched one document (`nMatched: 1`) and would've updated it (`nWouldModify: 1`), but the operation wasn't actually run since this was an `explain`, not a real write.

If this is a write pattern you rely on often (like updating by `title`, `customerId`, or some other frequent lookup), you should absolutely consider creating an index to reduce the scan cost.

### How to read execution stages

MongoDB breaks your query into stages—like steps on an assembly line. Each stage does a specific job, and together, they describe how your query was executed.

Here are some common stage types you might see in an `explain()` plan:

|    Stage     |                   What it does                    |
|--------------|---------------------------------------------------|
| `COLLSCAN`   | Scans all documents—slow, no index                |
| `IXSCAN`     | Scans an index—fast                               |
| `FETCH`      | Fetches full documents after matching keys        |
| `SORT`       | Sorts results in-memory (unless covered by index) |
| `PROJECTION` | Trims returned fields                             |

Not every query will hit all of these, and some may include others (like `LIMIT`, `SKIP`, or `SHARD_MERGE`). But if you understand the building blocks, you can read almost any query plan like a flowchart.

You'll often see nested stages: `IXSCAN` → `FETCH` means MongoDB scanned the index, then fetched full documents.

Quick check:

* `stage: "COLLSCAN"`: No index used
* `docsExamined ≫ nReturned`: Inefficient filtering
* `executionTimeMillis` high? Consider indexing or reworking the query

### How about when we need to compare index usage?

If you're curious how MongoDB chooses one query plan over others, try this:

Before we run the query, let's make sure we have indexes on both `year` and `rated`:

```
db.movies.createIndex({ year: 1 });
db.movies.createIndex({ rated: 1 });
```

Now, we can run the query with full plan evaluation:

```
db.movies.find({
  year: { $gt: 1990 },
  rated: { $in: ["PG", "PG-13"] }
}).explain("allPlansExecution");
```

This query references two indexed fields: `year` and `rated`. Since both are eligible, MongoDB considers multiple plans and tests each one before choosing a winner.

Here's a simplified excerpt of what you'll see:

```
{
  queryPlanner: {
    winningPlan: {
      stage: "FETCH",
      inputStage: {
        stage: "IXSCAN",
        indexName: "year_1"
      }
    },
    rejectedPlans: [
      { inputStage: { stage: "IXSCAN", indexName: "rated_1" } },
      { inputStage: { stage: "IXSCAN", indexName: "year_-1" } }
    ]
  },
  executionStats: {
    totalKeysExamined: 15902,
    totalDocsExamined: 15902,
    nReturned: 3091
  }
}
```

MongoDB tested three potential strategies:

* Use the `year_1` index and filter by `rated`
* Use the `rated_1` index and filter by `year`
* Try the `year_-1` index, which didn't match the filter direction

Even though all three plans returned results, the one using `year_1` was the most efficient, so it won. You can see the others listed in `rejectedPlans` and `allPlansExecution`, along with stats like documents scanned, returned, and estimated cost.

This is incredibly useful when you're wondering why your index wasn't used. Often, it was just not chosen. Now, you can prove it.

Now that you know how to dissect a query, let's move from diagnosis to live observation. In Section 3, we'll track what's running right now using `db.currentOp()`,and how to kill it if needed.

## 3. Watching queries in real time with `db.currentOp()`

So far, we've looked at what was slow (`system.profile`) and why it was slow (`explain()`). But what if something is running slowly right now?

MongoDB gives us a built-in way to monitor live operations—both queries and writes—using `db.currentOp()`. This is like opening a terminal into the brain of your database.

You can see what's currently running, how long it's been running, what operation it's doing, and even kill it if needed.

### What we'll need

Before we get started, make sure you have:

* `mongosh` connected to your cluster.
* `read` access to admin-level commands.
* `killOp` permission if you want to terminate operations (e.g., `atlasAdmin`, `dbAdminAnyDatabase`, or custom roles).

### What is `db.currentOp()`?

`db.currentOp()` returns a list of all operations currently in progress on the node (mongod process) you're connected to—including queries, updates, aggregations, and internal commands.

You can filter it to just your operations or long-running ones.

```
db.currentOp({ "secs_running": { $gt: 2 } });
```

This will return all operations running longer than two seconds.

Here's what a live operation might look like:

```
{
  "opid": "12345",
  "secs_running": 5,
  "active": true,
  "ns": "sample_mflix.movies",
  "command": {
    "find": "movies",
    "filter": { "title": { "$regex": "The" } }
  },
  "planSummary": "COLLSCAN",
  "locks": { ... },
  "client": "203.0.113.25:43210"
}
```

`opid` is the operation ID you can use to track or kill the operation.

If we run this on our collection now, we'll likely see a bunch of admin operations that run in the background on our MongoDB database.

Want to find all active queries on any namespace?

```
db.currentOp({ "active": true, "op": "query" });
```

### Killing a long-running query

If you need to stop an operation—like an accidental full collection scan—use `db.killOp()`:

```
db.killOp("12345");
```

Just replace `12345` with the `opid` of the operation you want to stop. You need the `killOp` privilege on the database to run this command.

### What to look for in `db.currentOp()`

|      Field       |                    What it tells you                     |
|------------------|----------------------------------------------------------|
| `opid`           | Unique operation ID                                      |
| `ns`             | Namespace (e.g., `sample_mflix.movies`)                  |
| `secs_running`   | How long the operation has been running                  |
| `command`        | The exact query or update being run                      |
| `planSummary`    | The planner's quick summary (`COLLSCAN`, `IXSCAN`, etc.) |
| `active`         | Whether the operation is still in progress               |
| `waitingForLock` | If the op is blocked on a lock                           |

### A few notes

* This only shows operations on the node you're connected to. For sharded clusters or replica sets, you'll need to query each `mongod`.
* Use `maxTimeMS()` to cap long-running queries so they don't clog up your cluster.
* Combine filters to reduce noise:

```
db.currentOp({ "active": true, "secs_running": { $gt: 2 }, "ns": /movies/ });
```

Now that we can observe slow queries as they happen, let's look at why they happen as data scales. In Section 4, we'll explore inefficient patterns, unused indexes, and how things change when collections grow.

## 4. Identifying inefficient query and write patterns in large data sets

Some queries feel fast… until they don't. Performance issues in MongoDB often creep in as data grows, silently at first, until something starts to lag.

This section is our early-warning radar: We're not fixing slow queries yet. We're spotting them before they hurt us. We'll look at key patterns that don't scale, and how to recognize trouble using both the shell and the Atlas UI.

### What we'll need

* Sample dataset loaded (e.g., `sample_mflix` or `sample_supplies`)
* `mongosh` connected to your cluster
* Access to a MongoDB Atlas M10+ cluster
* Atlas role: Project Data Access Read Only or higher

### Look for query patterns that don't scale

MongoDB gives us visibility into how queries behave—use it early and often.

Use `.explain()` to diagnose inefficiencies even when queries "feel fast." A fast query can just be subject to luck, rather than actually well structured queries. And luck runs out. Be intentional and proactive, and you can spot these problems with scaling before they get a chance to slow you down.

|                        Metric                         |              What to watch               |
|-------------------------------------------------------|------------------------------------------|
| `docsExamined` ≫ `nReturned`                          | Inefficient filter                       |
| `stage: "COLLSCAN"`                                   | No index used                            |
| `executionTimeMillis` grows with `collection.count()` | Performance degrades with scale          |
| `keysExamined` is high with few matches               | Index exists but is not selective enough |

### Measuring indexes that aren't helping with `$indexStats`

MongoDB can show you how often each index on a collection is being used. This is helpful when deciding which indexes to keep, which are going unused, and whether your query patterns align with what you've optimized for.

Let's try it on the `movies` collection:

```
db.movies.aggregate([{ $indexStats: {} }]);
```

This returns a document per index, with stats about how frequently each one has been accessed since the server started tracking.

Here's a sample of the output:

```
{
  name: "year_1",
  accesses: {
    ops: 0,
    since: ISODate("2025-04-11T12:31:22.682Z")
  }
}
```

The `ops` field tells us how many operations have used this index. In this case, we can see that several indexes, including `year_1`, `year_-1`, and `rated_1`, have `ops: 0`. This means no queries have used them since tracking began.

On the other hand:

```
{
  name: "_id_",
  accesses: {
    ops: 1,
    since: ISODate("2025-04-09T14:50:50.878Z")
  }
}
```

The `_id_` index has been used once. That's expected, MongoDB always creates a unique index on `_id` by default.

If we're seeing a lot of unused indexes, it may be time to clean them up. Indexes that aren't used take up memory and can slow down writes. But don't drop them just yet. Always double-check query patterns and workloads across environments before making changes.

This also works great after running queries in development. We can immediately see which ones actually triggered index access, and which ones just triggered full scans.

Tip: If all your indexes say `ops: 0`, and you know your queries should be using them, it might just be that the server was restarted recently. `accesses.since` will show you when tracking began.

Some things to check for:

|                      Symptom                       |             What it suggests             |
|----------------------------------------------------|------------------------------------------|
| `accesses.ops` \\= 0                               | Index isn't being used at all            |
| Similar compound indexes with different key orders | Redundant indexes                        |
| Many indexes with little usage                     | Possible memory bloat and write slowdown |

MongoDB Atlas tracks index usage in the Indexes tab for each collection.

![Indexes page in the Atlas UI](data:image/png;base64,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)

### Watch for document growth and update pain

MongoDB documents can be large, and that's often a good thing. But…

* Updates to large or nested documents may rewrite the entire document.
* Frequently growing arrays cause fragmentation.
* Large docs mean fewer fit in memory.

Check this in the shell:

```
db.movies.stats().avgObjSize;
```

And we can have a look at the output:

```
1598
```

The average document size in the `movies` collection is 1,598 bytes. This number helps estimate:

* Memory usage when scanning N documents (e.g., in a COLLSCAN).
* Working set size and whether it fits in RAM.
* The I/O cost of operations that don't use indexes.

If `totalDocsExamined` is 7,675 , and average doc size is 1,598 bytes:

```
7_675 docs * 1,598 bytes ≈ 12.27 MB
```

So, our full collection scan is reading about 12 MB from disk or memory for that single operation.

If our working set exceeds RAM, this can lead to page faults and slow performance, which will definitely show up in our Atlas Profiler.

In the Atlas UI, we can see how the memory of your MongoDB instance is affected as documents bloat.

* In Atlas, go to Clusters.
* Click on the name of your cluster.
* From the cluster dashboard, click the "Metrics" tab at the top.
* At the bottom of the screen, you can toggle what you want to inspect.

![MongoDB Metrics selector for monitoring in the Atlas UI](data:image/png;base64,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)

We'll want to toggle:

* Cache Usage (shows cache dirty and used bytes—how much memory MongoDB is using and how much of it hasn't been flushed to disk).
* Cache Activity (tracks how much data is being read into or written from cache, which reflects memory churn).
* Cache Ratio (shows fill ratio and dirty fill ratio, which help you understand how full the memory is and how many changes are waiting to be written).
* Memory (gives you memory_resident and memory_virtual to gauge working set pressure).
* System Memory (available and used—so you can correlate MongoDB's memory usage with overall RAM limits).

These charts let you visualize how much of your instance's memory is in active use, and how much of that is getting clogged by updates or large documents. If cache dirty steadily rises or you see frequent spikes in eviction activity, it's a sign that your working set is too big for your RAM. Document growth, overly large updates, and inefficient schemas all make this worse.

![MongoDB metrics graph in the Atlas UI](data:image/png;base64,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)

This is where performance starts to degrade: MongoDB has to flush dirty pages more frequently or pull data from disk more often, which slows queries and increases I/O. If we see high Cache Usage, low System Memory Available, and rising Disk IOPS or Latency, it's a strong signal to review our schema, indexing strategy, or scale up the instance.

This is our live view into how MongoDB balances memory and disk as our documents grow.

All of these are signs that MongoDB is under memory pressure and spending more time loading documents from disk rather than serving them directly from memory.

\> Tip: Combine this with $indexStats and avgObjSize to understand why; is it bloated documents? Unused indexes? Or just too much data for the current instance size?

### When to watch for sharding symptoms

We might not need sharding yet, but MongoDB will start telling us when vertical scaling is no longer enough.

Check for:

|                   Symptom                   |                      What it suggests                      |
|---------------------------------------------|------------------------------------------------------------|
| Queries slow down as data grows             | Indexes can't keep up—look at `executionTimeMillis` trends |
| Working set no longer fits in memory        | High disk I/O, cache evictions in Atlas                    |
| Insert-heavy workloads bottlenecking writes | CPU/memory pressure on primaries                           |
| Collection is approaching storage limits    | Time to scale out                                          |

If we see regular performance degradation due to growth, especially on a single hot collection, it's time to evaluate sharding as a next step.

### Recap:

|   What to monitor    |                         How                         |
|----------------------|-----------------------------------------------------|
| Query inefficiencies | `.explain("executionStats")` + Atlas Query Profiler |
| Index effectiveness  | `$indexStats` + Atlas Indexes tab                   |
| Document bloat       | `avgObjSize`, `storageSize`, update patterns        |
| Memory pressure      | Cache + disk I/O metrics                            |
| Scaling pressure     | Query performance vs. dataset growth                |

You're now equipped to spot performance concerns before they explode, whether it's slow queries hiding in plain sight or documents quietly growing out of control.

In Section 5, we'll turn our attention to aggregation pipelines, and how to diagnose performance issues stage-by-stage using `explain()`.

## 5. Analyzing aggregation query performance

Aggregation pipelines are often where performance issues hide in MongoDB. On the surface, everything seems clean, an elegant series of stages reshaping documents, filtering out noise, grouping and sorting. But underneath, inefficiencies can quietly stack up. Poor pipeline ordering, unindexed lookups, broad scans, or early memory-intensive operations like `$group` or `$sort` may not be obvious until they degrade performance significantly at scale.

This section is about teaching you how to read a pipeline, profile its performance, and understand where execution cost is being incurred, before it becomes a real problem. We'll use `.explain("executionStats")` to trace each stage and observe where time and resources are spent. As always, the goal here is not to solve the performance problem, but to identify the parts of the pipeline that need attention.

### Diagnosing poor stage ordering

To illustrate how pipeline structure affects performance, let's start with a deliberately inefficient example. In the `sample_supplies` database, let's run the following:

```
db.sales.aggregate([
  { $group: { _id: "$item", totalSales: { $sum: "$price" } } },
  { $match: { totalSales: { $gt: 100 } } }
]).explain("executionStats");
```

This pipeline groups all documents in the collection before applying a filter on the computed `totalSales` value. From a functional standpoint, it's valid. From a performance perspective, it's costly. We're forcing MongoDB to load every document into memory to compute the groupings, regardless of whether that document will later be filtered out.

The `explain` output will confirm this. We should expect to see a `COLLSCAN` stage in the cursor source, along with high values for `totalDocsExamined` and `executionTimeMillis`. For example:

```
{
  "stages": [
    {
      "$cursor": {
        "executionStats": {
          "stage": "COLLSCAN",
          "nReturned": 220,
          "totalDocsExamined": 250000,
          "executionTimeMillisEstimate": 92
        }
      }
    },
    {
      "$group": {
        "executionTimeMillisEstimate": 31
      }
    },
    {
      "$match": {
        "executionTimeMillisEstimate": 1
      }
    }
  ]
}
```

This output shows that most of the time is spent scanning and grouping all 250,000 documents, even though only a small number are returned. There's no filtering until the final stage, meaning the `$group` stage is carrying a much heavier load than necessary.

### Improving pipeline efficiency through reordering

Now, let's reverse the order of the pipeline so that the filter occurs before the grouping:

```
db.sales.aggregate([
  { $match: { price: { $gt: 1 } } },
  { $group: { _id: "$item", totalSales: { $sum: "$price" } } }
]).explain("executionStats");
```

In this case, the explain output should show dramatically fewer documents examined, a lower execution time, and, if we've indexed the `price` field, an `IXSCAN` instead of a `COLLSCAN`. We've offloaded unnecessary work from `$group` by letting `$match` reduce the input set early.

This is one of the most important structural concepts when reading or profiling aggregations: place filtering stages as early as possible. `$match`, `$project`, and `$limit` reduce the document set and should appear toward the top of your pipeline. Stages like `$group`, `$sort`, and `$lookup` that grow memory usage or execution time should appear later, after the document set has already been narrowed.

### Profiling aggregations in Atlas

You can observe the impact of pipeline reordering visually in the Atlas UI. Go to your cluster's Query Profiler, then filter by operation type to show only `aggregate` queries. Locate your slow group-first query in the scatterplot and click to expand the timeline. You'll see each stage listed with timing information.

Look specifically at the execution time for the `$group` stage. It will likely dominate the operation. Then, compare it to the reordered pipeline where `$match` runs first—stage timings will show a reduced burden on `$group` and often a significantly lower execution time overall.

### Diagnosing `$lookup` inefficiencies

Now, consider a common source of hidden aggregation slowness: unindexed `$lookup` joins.

Let's look at a real example using the `sample_analytics` dataset. We'll join the `transactions` collection with `customers`, matching the `customer_id` field from transactions to the `email` field in customers. This is deliberately inefficient, no index exists on `email` in the foreign collection, and neither field is guaranteed to be unique.

```
db.transactions.aggregate([
  {
    $lookup: {
      from: "customers",
      localField: "customer_id",
      foreignField: "email",
      as: "customerDetails"
    }
  }
]);
```

This query returns some documents. In fact, it returned 1,746 documents when we ran it. But behind the scenes, it scanned thousands more.

Here's the important diagnostic output from `explain("executionStats")`:

```
{
  "executionStats": {
    "nReturned": 1746,
    "executionTimeMillis": 8,
    "totalDocsExamined": 2246,
    "collectionScans": 2,
    "indexesUsed": [],
    "executionStages": {
      "stage": "hash_lookup",
      "usedDisk": false,
      "spilledRecords": 0
    }
  },
  "winningPlan": {
    "stage": "EQ_LOOKUP",
    "strategy": "HashJoin",
    "foreignCollection": "sample_analytics.customers",
    "inputStage": {
      "stage": "COLLSCAN"
    }
  }
}
```

The query returned fast, but:

* `collectionScans: 2`: Both collections were fully scanned.
* `indexesUsed: []`: No index was used on the join fields.
* `totalDocsExamined: 2,246`: 2.2K documents read to return 1.7K. When `totalDocsExamined` is more than `nReturned`, that is wasted I/O effort.
* `strategy: HashJoin`: MongoDB built an in-memory hash table to support the join. This is a memory-intensive join strategy.

These are red flags for joins at scale. As your data grows, this will become a bottleneck. Each transaction document triggers a scan on the foreign collection, and if the field isn't indexed, or worse, contains duplicate values, the cost increases linearly.

To correct it, let's add an index on `customers.email`:

```
db.customers.createIndex({ email: 1 });
```

Then, re-run the aggregation with `explain("execuationStats")` and compare the difference.

```
{
  "nReturned": 1746,
  "executionTimeMillis": 9,
  "totalDocsExamined": 1746,
  "indexesUsed": ["email_1"],
  "winningPlan": {
    "stage": "EQ_LOOKUP",
    "strategy": "IndexedLoopJoin",
    "indexName": "email_1",
    "inputStage": {
      "stage": "COLLSCAN"
    }
  }
}
```

Even though execution time rose slightly (possibly due to internal re-planning or I/O timing variance), the structure is much healthier. We've replaced a memory-intensive hash join with an index-backed nested loop, and reduced total document examination to match the number of documents returned.

This is what we want from performance tuning: not always instant speed wins, but structural improvements that scale.

* Always check for `$lookup` joins over unindexed fields.
* Use `explain("executionStats")` to reveal strategy and index usage.
* Look for `strategy: IndexedLoopJoin` and avoid `HashJoin` where possible.

If we want to look at this information without using mongosh or running `.explain()` again and again, we can just pop back over to the Query Profiler in the Atlas UI, and examine it there, from our live queries running in our applications. It will pick it up as long as our queries are running slow enough.

![Query profiler for slow lookup operations in the Atlas UI](data:image/png;base64,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)

### Sorting before filtering: A hidden cost

Another subtle performance trap is using `$sort` early in a pipeline, especially before a `$match`. Sorting large datasets in memory is expensive, and doing so before filtering means we're paying that cost for documents we might never use. Use the `sample_supplies` database, and let's run the "same aggregation," but with a different ordering of stages, and look at the outputs.

Try this pipeline:

```
db.sales.aggregate([
  { $sort: { saleDate: -1 } },
  { $match: { "items.name": "binder" } }
]).explain("executionStats");
```

The explain plan will show that the sort is operating on the full dataset, not just the relevant subset. The `executionTimeMillisEstimate` for the sort stage may be significantly higher than the filter.

```
{
  queryPlanner: {
    stage: 'SORT',
    sortPattern: { saleDate: -1 },
    inputStage: {
      stage: 'COLLSCAN',
      filter: { 'items.name': { '$eq': 'binder' } },
      docsExamined: 5000
    }
  },
  executionStats: {
    executionTimeMillis: 28,
    totalDocsExamined: 5000,
    nReturned: 3396,
    executionStages: {
      stage: 'SORT',
      executionTimeMillisEstimate: 20,
      inputStage: {
        stage: 'COLLSCAN'
      }
    }
  }
}
```

MongoDB scans all 5000 documents, and then returns the 3396 matches, 28ms to run. Now, let's simply reverse the order so that the `$match` runs first:

```
db.sales.aggregate([
  { $match: { "items.name": "binder" } },
  { $sort: { saleDate: -1 } }
]).explain("executionStats");
```

And our output should show some favourable changes:

```
{
  queryPlanner: {
    stage: 'SORT',
    sortPattern: { saleDate: -1 },
    inputStage: {
      stage: 'COLLSCAN',
      filter: { 'items.name': { '$eq': 'binder' } },
      docsExamined: 5000
    }
  },
  executionStats: {
    executionTimeMillis: 15,
    totalDocsExamined: 5000,
    nReturned: 3396,
    executionStages: {
      stage: 'SORT',
      executionTimeMillisEstimate: 13,
      inputStage: {
        stage: 'COLLSCAN'
      }
    }
  }
}
```

The same number of documents is examined, but by filtering first, we halve the `$sort` time. A lot of that time is saved in sorting.

Also note that if you sort on a field that has an index, MongoDB can use that index to avoid an in-memory sort. Use `planSummary` in the explain output to confirm whether that's happening. This is your cue to check stage order and index coverage.

### Aggregations with MongoDB Atlas Search

If you're using [Atlas Search](https://www.mongodb.com/docs/manual/reference/explain-results/?utm_campaign=devrel&utm_source=third-party-content&utm_medium=response&utm_term=tony.kim), remember that `$search` is a special stage that must appear first in your pipeline. Unlike `$match`, `$search` does not use MongoDB's native indexes, and you won't see it in `explain()` output.

To diagnose slow `$search` pipelines, you'll need to use Atlas Profiler. Find the query under operation type `aggregate`, and click through to inspect the total duration and number of documents returned. MongoDB Atlas Search queries typically show their performance in terms of latency and result count rather than index scan stats.

If `$search` is slow, check whether your search index includes the right fields and analyzers, and whether you're retrieving more fields than necessary after `$search`. Adding a `$project` stage immediately after `$search` can reduce document size and improve throughput.

To simulate the slow query, we can create an index on our Atlas (as long as we have admin permissions) for our search queries:

```
db.runCommand({
  createSearchIndexes: "movies",
  indexes: [
    {
      name: "titleIndex",
      definition: {
        mappings: {
          dynamic: false,
          fields: {
            title: {
              type: "string"
            }
          }
        }
      }
    }
  ]
});
```

Give this a minute to create, then we can run the following query. This uses a common term to trigger a high-result count and returns full documents without limiting or projecting fields:

```
db.movies.aggregate([
  {
    $search: {
      index: "titleIndex",
      text: {
        query: "the",
        path: "title"
      }
    }
  }
]);
```

A query as generic as "the" in movie titles will give us quite high latency, and we can dissect it and learn how to improve it in our profiler.  
![Query profiler for slow aggregation operations in the Atlas UI](data:image/png;base64,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)

### Aggregation diagnostics summary

Aggregation pipelines offer incredible power but carry significant performance implications when not constructed thoughtfully. By using `explain("executionStats")` at every step, you can see how each stage behaves, whether indexes are used, and where MongoDB is spending the most time.

In MongoDB Atlas, use the Query Profiler to correlate slow queries with real execution data, and use the Indexes tab to verify whether your lookups and sorts are supported by indexes. Pay close attention to ordering—filter early, reduce early, and avoid letting costly stages like `$group`, `$sort`, or `$lookup` operate on more documents than necessary.

When profiling, don't just look at total execution time. Look at stage execution time, document counts, and index plans. MongoDB is giving us a detailed play-by-play.

## Conclusion

We've now got the full diagnostic toolkit: a profiler to see what ran slowly, an execution plan to understand why, a live view to watch it happen in real time, and a deep dive into how performance scales. We're not stomping around, hunting problems. We're observant and well tooled. That's the foundation every great optimization effort is built on.

This wasn't a guide to optimization—it was a guide to observation. Because you can't fix what you can't see.

If you want to keep digging deeper, here are a few useful next stops. Check out the [Atlas Query Profiler Documentation](https://www.mongodb.com/docs/atlas/tutorial/query-profiler/?utm_campaign=devrel&utm_source=third-party-content&utm_medium=cta&utm_term=tony.kim), or read up on [Aggregation Pipeline Optimization Best Practices](https://www.mongodb.com/docs/manual/core/aggregation-pipeline-optimization/?utm_campaign=devrel&utm_source=third-party-content&utm_medium=cta&utm_term=tony.kim). MongoDB gives you a lot of visibility if you know where to look. Now, you do.