{"updated": "2024-05-20T17:30:49.148Z", "metadata": {"contentType": null, "productName": "MongoDB Atlas", "tags": ["atlas", "docs"], "version": null}, "action": "created", "sourceName": "snooty-cloud-docs", "body": "# View Database Access History\n\n- This feature is not available for `M0` free clusters, `M2`, and `M5` clusters. To learn more, see Atlas M0 (Free Cluster), M2, and M5 Limits.\n\n- This feature is not supported on Serverless instances at this time. To learn more, see Serverless Instance Limitations.\n\n## Overview\n\nAtlas parses the MongoDB database logs to collect a list of authentication requests made against your clusters through the following methods:\n\n- `mongosh`\n\n- Compass\n\n- Drivers\n\nAuthentication requests made with API Keys through the Atlas Administration API are not logged.\n\nAtlas logs the following information for each authentication request within the last 7 days:\n\n
\n\n\nField\n\n | \n\nDescription\n\n | \n
\n\n\nTimestamp", "url": "https://mongodb.com/docs/atlas/access-tracking/", "format": "md", "title": "View Database Access History", "embedding": [-0.032564081251621246, -0.00268814479932189, 0.0028021838515996933, -0.03253544494509697, -0.006447532679885626, -0.006818994879722595, 0.029676150530576706, -0.015898190438747406, -0.018191974610090256, -0.030888698995113373, 0.03800628334283829, -0.03509707376360893, 0.0031355253886431456, 0.011009098961949348, -0.0092212138697505, -0.011589900590479374, -0.01937231793999672, -0.029159780591726303, -0.01790626160800457, 0.014120185747742653, -0.004422108642756939, -0.01657976396381855, -0.04416080564260483, -0.04548574611544609, -0.0014675032580271363, 0.07337727397680283, -0.04926692321896553, -0.03388221189379692, -0.08200429379940033, -0.21722419559955597, 0.02663700096309185, -0.05379438400268555, 0.043549545109272, -0.02949582226574421, 0.011038592085242271, -0.025345630943775177, 0.0013534269528463483, 0.08213294297456741, 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{"updated": "2024-05-20T17:30:49.148Z", "metadata": {"contentType": null, "productName": "MongoDB Atlas", "tags": ["atlas", "docs"], "version": null}, "action": "created", "sourceName": "snooty-cloud-docs", "body": "\n | \nDescription\n\n | \n
\n\n\nTimestamp\n\n | \n\nThe date and time of the authentication request.\n\n | \n
\n\n\nUsername\n\n | \n\nThe username associated with the database user who made the authentication request.\n\nFor LDAP usernames, the UI displays the resolved LDAP name. Hover over the name to see the full LDAP username.\n\n | \n
\n\n\nIP Address\n\n | \n\nThe IP address of the machine that sent the authentication request.\n\n | \n
\n\n\nHost\n\n | \n\nThe target server that processed the authentication request.\n\n | \n
\n\n\nAuthentication Source", "url": "https://mongodb.com/docs/atlas/access-tracking/", "format": "md", "title": "View Database Access History", "embedding": [-0.018656743690371513, -0.0009006370091810822, 0.014619076624512672, -0.026238838210701942, 0.020932961255311966, -0.01676030084490776, 0.07602566480636597, -0.026840707287192345, 0.01966256834566593, -0.018407056108117104, 0.050493743270635605, -0.057673897594213486, 0.03454584628343582, 0.01838861219584942, 0.035517919808626175, -0.02495497465133667, -0.032390885055065155, 0.006420618388801813, -0.0023442909587174654, 0.029019303619861603, 0.0596628375351429, 0.03343474492430687, -0.018906399607658386, -0.04562482610344887, 0.024007093161344528, 0.04521958902478218, 0.005176634527742863, -0.0665639191865921, -0.0670575201511383, -0.14885535836219788, 0.01899280957877636, -0.060711607336997986, 0.016496486961841583, -0.016513165086507797, -0.004119734279811382, -0.06438218802213669, 0.02382856421172619, 0.07624280452728271, 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{"updated": "2024-05-20T17:30:49.148Z", "metadata": {"contentType": null, "productName": "MongoDB Atlas", "tags": ["atlas", "docs"], "version": null}, "action": "created", "sourceName": "snooty-cloud-docs", "body": " | \n
\n\n\nAuthentication Source\n\n | \n\nThe database that the authentication request was made against. `admin` is the authentication source for SCRAM-SHA users and `$external` for LDAP users.\n\n | \n
\n\n\nAuthentication Result\n\n | \n\nThe success or failure of the authentication request. A reason code is displayed for the failed authentication requests.\n\n | \n
\n
Authentication requests are pre-sorted by descending timestamp with 25 entries per page.\n\n### Logging Limitations\n\nIf a cluster experiences an activity spike and generates an extremely large quantity of log messages, Atlas may stop collecting and storing new logs for a period of time.", "url": "https://mongodb.com/docs/atlas/access-tracking/", "format": "md", "title": "View Database Access History", "embedding": [-0.01790565811097622, -0.031497661024332047, 0.008972040377557278, -0.05472410470247269, -0.012931926175951958, 0.010625897906720638, 0.03593241050839424, -0.020588217303156853, -0.013972092419862747, -0.027430465444922447, 0.049277130514383316, -0.027626268565654755, 0.017862791195511818, 0.03409567475318909, 0.020085277035832405, -0.0064092595130205154, -0.039695855230093, -0.020267456769943237, 0.00019288058683741838, 0.057310979813337326, 0.021259034052491188, 0.002658683340996504, -0.03576541692018509, -0.04994102939963341, -0.00806240551173687, 0.03840549662709236, 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{"updated": "2024-05-20T17:30:49.148Z", "metadata": {"contentType": null, "productName": "MongoDB Atlas", "tags": ["atlas", "docs"], "version": null}, "action": "created", "sourceName": "snooty-cloud-docs", "body": "Log analysis rate limits apply only to the Performance Advisor UI, the Query Insights UI, the Access Tracking UI, and the Atlas Search Query Analytics UI. Downloadable log files are always complete.\n\nIf authentication requests occur during a period when logs are not collected, they will not appear in the database access history.\n\n## Required Access\n\nTo view database access history, you must have `Project Owner` or `Organization Owner` access to Atlas.\n\n## Procedure\n\n\n\n\nAlert Type\n\n | \n\nDescription\n\n | \n
\n\n\nAtlas Search Alerts", "url": "https://mongodb.com/docs/atlas/alert-resolutions/", "format": "md", "title": "Resolve Alerts", "embedding": [-0.007106224074959755, -0.018477605655789375, 0.03519297391176224, -0.01291817519813776, 0.02073698863387108, 0.0346832349896431, 0.03524521365761757, 0.045862797647714615, -0.010953529737889767, -0.017026087269186974, 0.007487407419830561, -0.038501542061567307, 0.041948895901441574, 0.008229187689721584, -0.008188320323824883, -0.00493613863363862, -0.008677415549755096, 0.0032054788898676634, -0.04857184737920761, -0.02606373094022274, 0.014178444631397724, 0.004384571686387062, -0.013790415599942207, -0.02264866977930069, 0.03386414423584938, 0.06235995888710022, -0.08104144036769867, -0.02252739854156971, -0.0725792944431305, -0.17711468040943146, 0.0012993209529668093, -0.03331945091485977, 0.07501497119665146, -0.010336612351238728, 0.016349663957953453, -0.01161491870880127, 0.014837311580777168, 0.0751466229557991, 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{"updated": "2024-05-20T17:30:49.148Z", "metadata": {"contentType": null, "productName": "MongoDB Atlas", "tags": ["atlas", "docs"], "version": null}, "action": "created", "sourceName": "snooty-cloud-docs", "body": "\n | \nDescription\n\n | \n
\n\n\nAtlas Search Alerts\n\n | \n\nAmount of CPU and memory used by Atlas Search processes reach a specified threshold.\n\n | \n
\n\n\nConnection Alerts\n\n | \n\nNumber of connections to a MongoDB process exceeds the allowable maximum.\n\n | \n
\n\n\nDisk Space % Used Alerts\n\n | \n\nPercentage of used disk space on a partition reaches a specified threshold.\n\n | \n
\n\n\nQuery Targeting Alerts\n\n | \n\nIndicates inefficient queries.", "url": "https://mongodb.com/docs/atlas/alert-resolutions/", "format": "md", "title": "Resolve Alerts", "embedding": [-0.037550702691078186, -0.02286623790860176, 0.030205784365534782, 0.00494393240660429, 0.014268188737332821, -0.006075651850551367, 0.0318790078163147, 0.03926162049174309, 0.04186927527189255, -0.02656249701976776, 0.013696173205971718, -0.030014777556061745, 0.025641223415732384, 0.023537250235676765, -0.022245341911911964, 0.0470343641936779, 0.022823289036750793, 0.024000147357583046, -0.03837136551737785, 0.02170836739242077, 0.056659307330846786, 0.010198199190199375, -0.013557950034737587, -0.05480567365884781, 0.02683446556329727, 0.04281417280435562, -0.06504332274198532, -0.05310128256678581, -0.04506604000926018, -0.20499584078788757, 0.02413967251777649, -0.06193834915757179, 0.044187404215335846, -0.022048182785511017, -0.003367519937455654, -0.023244930431246758, 0.016769476234912872, 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{"updated": "2024-05-20T17:30:49.148Z", "metadata": {"contentType": null, "productName": "MongoDB Atlas", "tags": ["atlas", "docs"], "version": null}, "action": "created", "sourceName": "snooty-cloud-docs", "body": " | \n\nIndicates inefficient queries.\n\nThe change streams cursors that the Atlas Search process (`mongot`) uses to keep Atlas Search indexes updated can contribute to the query targeting ratio and trigger query targeting alerts if the ratio is high.\n\n | \n
\n\n\nReplica Set Has No Primary\n\n | \n\nNo primary is detected in replica set.\n\n | \n
\n\n\nReplication Oplog Alerts\n\n | \n\nAmount of oplog data generated on a primary cluster member is larger than the cluster's configured oplog size.\n\n | \n
\n\n\nSystem CPU Usage Alerts\n\n | \n\nCPU usage of the MongoDB process reaches a specified threshold.\n\n | \n
\n
", "url": "https://mongodb.com/docs/atlas/alert-resolutions/", "format": "md", "title": "Resolve Alerts", "embedding": [0.0016599486116319895, -0.006726010702550411, 0.02175232768058777, -0.002970176748931408, 0.016269482672214508, 0.0024502745363861322, 0.023825753480196, 0.03000636398792267, 0.025191830471158028, -0.03722812980413437, 0.03934107720851898, -0.04424552991986275, -0.013063285499811172, 0.02114158868789673, -0.02222495898604393, 0.019827522337436676, -0.01490924134850502, -0.01573709212243557, -0.005817127414047718, 0.02234772779047489, 0.02236325852572918, -0.009118840098381042, -0.016272112727165222, -0.042590416967868805, 0.04479663446545601, 0.05432156100869179, -0.05709478631615639, -0.0513572171330452, -0.06357555091381073, -0.24619925022125244, 0.022787004709243774, -0.08153022825717926, 0.028842797502875328, -0.01860092021524906, -0.0065773786045610905, -0.024848200380802155, 0.011583292856812477, 0.07558486610651016, -0.01118383090943098, 0.01951008476316929, 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{"updated": "2024-05-20T17:32:10.812Z", "metadata": {"contentType": null, "productName": "PyMongo", "tags": ["docs", "driver", "python", "pymongo"], "version": "v4.7 (current)"}, "action": "created", "sourceName": "snooty-pymongo", "body": "# Aggregation Tutorials\n\n## Overview\n\nAggregation tutorials provide detailed explanations of common aggregation tasks in a step-by-step format. The tutorials are adapted from examples in the Practical MongoDB Aggregations book by Paul Done.\n\nEach tutorial includes the following sections:\n\n- **Introduction**, which describes the purpose and common use cases of the aggregation type. This section also describes the example and desired outcome that the tutorial demonstrates.\n\n- **Before You Get Started**, which describes the necessary databases, collections, and sample data that you must have before building the aggregation pipeline and performing the aggregation.\n\n- **Tutorial**, which describes how to build and run the aggregation pipeline. This section describes each stage of the completed aggregation tutorial, and then explains how to run and interpret the output of the aggregation.\n\nAt the end of each aggregation tutorial, you can find a link to a fully runnable Python code file that you can run in your environment.\n\n## Aggregation Template App", "url": "https://mongodb.com/docs/languages/python/pymongo-driver/current/aggregation/aggregation-tutorials/", "format": "md", "title": "Aggregation Tutorials", "embedding": [-0.05511222779750824, -0.030113503336906433, -0.00017347281391266733, -0.035352956503629684, 0.02512090653181076, -0.010907570831477642, 0.015522139146924019, -0.0034033406991511583, -0.00766574265435338, -0.014707406982779503, 0.026577934622764587, -0.08195171505212784, 0.041135817766189575, 0.025984834879636765, -0.02469548024237156, 0.02998431585729122, -0.010128404945135117, 0.01050084363669157, -0.057917773723602295, 0.01743325963616371, 0.017169689759612083, 0.003481654915958643, 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{"updated": "2024-05-20T17:32:10.812Z", "metadata": {"contentType": null, "productName": "PyMongo", "tags": ["docs", "driver", "python", "pymongo"], "version": "v4.7 (current)"}, "action": "created", "sourceName": "snooty-pymongo", "body": "## Aggregation Template App\n\nBefore you begin following an aggregation tutorial, you must set up a new Python app. You can use this app to connect to a MongoDB deployment, insert sample data into MongoDB, and run the aggregation pipeline in each tutorial.\n\nTo learn how to install the driver and connect to MongoDB, see Get Started with PyMongo\n\nOnce you install the driver, create a file called `agg_tutorial.py`. Paste the following code in this file to create an app template for the aggregation tutorials:\n\n```python\nfrom pymongo import MongoClient\n\n# Replace the placeholder with your connection string.\nuri = \"