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# Query drilldown view

Use the Query drilldown to investigate how a single query pattern behaves across your environment. The drilldown helps you understand query usage, failures, and execution context so you can troubleshoot issues and assess impact.

You open the Query drilldown by selecting a query pattern from the **Queries** table in **Settings**, then **Metric Data**, then **Usage Analysis**, then **Queries**.

## How the query drilldown works[​](#how-the-query-drilldown-works "Direct link to How the query drilldown works")

Each entry in the Queries table represents a normalized query pattern. The Query drilldown focuses on one pattern and shows how it executes across locations for a selected day.

Every value you see in the drilldown is recalculated based on the selected date and any applied location filter.

## Query pattern summary[​](#query-pattern-summary "Direct link to Query pattern summary")

[![query drilldown view](/assets/images/query-drilldown-e5c1df2d2e40e5445c986317ceec6699.webp)](https://docs-docusaurus.kinsta.page/assets/images/query-drilldown-e5c1df2d2e40e5445c986317ceec6699.webp)

The header summarizes the overall usage and health of the query pattern.

**Query pattern**

Shows the normalized query pattern in a read-only code block. Select the copy icon to copy the full pattern. This helps you confirm which query you are analyzing.

**Times used**

Shows how many times the query pattern executed on the selected date. Use this value to understand how heavily the query is used.

**Last run**

Shows the most recent execution time for the query pattern. This confirms whether the query is still active.

**Status**

Shows success and failure rates for executions on the selected date. This provides a quick signal of query health.

**Date selector**

Use the date selector to view query behavior for a specific day. All metrics and charts update when you change the date.

**Raw query logs**

Use the **Raw query logs** toggle to enable raw query log collection for this query pattern. This is useful when you need deeper visibility into individual executions.

## View trends over time[​](#view-trends-over-time "Direct link to View trends over time")

[![view trend](data:image/webp;base64,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)](data:image/webp;base64,UklGRkIfAABXRUJQVlA4IDYfAAAQ2wCdASoyBRgBPm02mUkkP6KiI1J4k/ANiWdu+Chpt7uq2OIHgHeWu/5/ece+vTdGD6rf5Hru/nX+d9iPmAf4L+Tevz0AeYn9nPWd/w/7Ie6v0CP6x/w/Wo/4vsf+gZ/AP+N6Xv7rfD1/jPW005bzR/b+1b+1/ln/W/Tf8J+Tfsf5S8qjq/zH/jP1l+7/1vzv/W3xJ+D/8z9j/yC/jX8t/xnfAdrwAL8j/m/+z/u/7zf570Ov5D0M/OP6j/j/ta+wD+Lfz//U/ml+//1R/uPAp+5f6r9ifgB/jv9X/1H+L/Jb6VP5D/sf5T/Q/uJ7UPy3/Df9T/UfAP/Jv6l/zf8J7bPsB/dL//+7D+6v//ENEE7tK5eGPzqFLDW5GuZ0HlaqauvNv7r+6/uv7r+6/uv7r+6/uv7r+6/uv7r+6/uv7r+6fLR56DZrEYCpjZUEkk1jECAXK468APVLK468APVLK468APVLK468APVLK468APVLK468APE4FITsaVplQwDJ6qCsLSTh9UsrjrwA9UsrjrwA9UsrjrwA9UsrjrwA9UsrjrwA9UsrjrpI/zhF8aaj5MYtvT6cdU5Y+jzOkrVTV15t/df3X91/df3X91/dfZhz0EjqI4Wl8iUrtP8iE4xw5W0vQOc2C7/vSlyZp5vU391/df3X91/df3X91/df3X1G6nAU8iJpOmEZg3Cozq8eDR0Io7tMF23Ll4EntHEEUb7Z7i4ghpPZO2y6sNHUnIK6sNHUnIK6sNHlE1myGg31W61ZOPr93Dla3cc0mgQJN0IBhd5LirFjnXpZGP/S6GGxSc0HNtYruCEY/Zb4DomKgrqw0dScgrqw0dScrv8aLLKlK6ShqTkFdWGjqTkFdWGjqTkFdW/jGApY/VLK468APVLK468APVLK5b9mzYL4lm7EXu/C66fnUKWGtyNczoPK1U1debf3X91/Z+/TKWleDTmMnI/pCuklgrx+feNEvb6r274nZCt/nUKWGtyNczoPK1U1debf2n8obEbRjAkaAYHd0QXESrei0LGWCwYNho6k5BXVho6k5BXVhpciHCJIs10pepnw0srjrwA9UsrjrwCdaMYEjWCCyPeZHuEKR2IPLXWjlBfh4Y/OoUsNbka5nQeVqpq5qq0ra29UnVmSRA0z4aWVx14AeqWVx14KQntgVGNUiQnQCl0RnLM3UVXgx+dQpYa3I1zOg8rVTV15WBdEfigBS3zHd7q7j1ZCXvtNv7r+6/uv7r+6/uv7r+6/tP5Q2I2jGBI1a1AsYGlI/Kz2f3laqauvNv7r+6/uv7r+6/utWZN3UTiwT7jrwA9UsrjrwA9Usrj1+aHRbujuPDIqwUHeJ1igtGpFwEGL7hcuojTXM6DytVNXXm391/df3X91FNj6RRD5BHS6YhLK468APVLK468APVOr++wvnFc4scQ/kdailI74tWYYD1NLDPAtiXW9NpfIWx4zRqWxLrem0s4qAYzKOt2iX/TFdVmK4x7GUMVs+a3LVRB/y1WVyygCGg1m3bfPqDCRdKCre1U1debf3X91/df3X91/dfY3LIsqmF91mXdME5B66f2qsnEsZstoidUuXTpoxMn2wJDwxugTk0aXtxgsaA9UbtOXve9tk53AtLKOcmnHa70B6pZXHXgB6pZXHXgB7yKZ7smBBhlJqAiEu39C8BJgjx+9zjx+9zjyAZIEI9PWuQoMYzksE++QR0umISyuOvAD1SyuOvAD1Tq/vsL5+AWZk064AobJSc6abr3ZWmKtmjUOzUFmUW9N0P6ljBadAPcKND/am6GaYDLCkH4+lGfk67hpwOCgzM8SyRxKQFXFpiiMH8mAKdDGNTGf1+Ny8l1Tz/LhZ4IeyaQlH1uCDMyEvGpiXvBfL1lyv+r4tWDi/rwhwzDMMvef62dHYhaFa1x/V7iuFENuvsNQl1Ck+td55K0ES3Dep3r4jaMYEmjNOwfi+Ar5NQoQAA/ecdCdVIvdM4y/gC9tJGUV402ndFlMHwGwTSsnTBpD2WXx0ovHEP5cMIZja+lJMr6YG6MugQpTkskCApIZw3wVWr01Oui9aIaf1RgdRsJ1NBUKLmCyrATdWPMtj4trRA1W/dpp4Sc6Pxnt5db6HQp6uE8dYFZAb6QrtUhPR6OsALzaRqe7N54MghWMKOJEKIALKqHssWE2AdWU3HE3q7VBNRwaCyuDs6CmqpCA5F0vNiBB4oCjjl4/o/bP2NXNI6xvGJA/V4S4zKwFibPm5dFPrKhV+JO4r176aoQT2e5NqMzZBU9FSp1f66oLEWGjqTkFdWGjqTkFdX7Rz/cnCY7bR1JyCurDR1JyCurDR1JyCuPsKSyqYOgA/vfgYKhv5nEd08HdRKIQcJij4KX0iyeuyeueKw9hsNhsNhsNhsNhsNhsNhsNhsNhsNhsNhsNhsNhsNhsNhsNhsNhsNhsNhsNhvld8YuaxJ3hq14OFfBRE5LgUF7iyArVXe2jBkr1kv7lPFmjznD3aX5F33EbVf88DWXtQ+UKouHcfSkHgVB1ly6zWGlIDDt7e0Q3Cte+X6HlaqqeZD4kBv4thlO7Dvjk/7CnxaWF2xeBR1obibmCLaFXMXqSqo/uiLzTOHEE6MiFG3hUxKtHB49ZYe1f2npL8JLeCr+1XUX7MdvuHE8JsYm6Kfxmu5AxjLfDyBjxpUkf2+xeWAAAAOweiReJh6wvSf12OTKdSX+xl4GSmv+NqoBOoG8UaRxip9v/k9xsNu5h+LM82b/q6EJYXHnpmFeD3NOd6rj0T+mK/9ev1KgHtCYr8Qq/+PcS3Ts8q51H4bckoWefWr5JO95NeqYAAAAAQ9e9afwHBSEtAsSHeYjLY+adHAh/3DO1chr2hDJHZVjMU99/7xM65F99z+OOsLI5nB8ndac0OmkI+NGC4vzAAgH8ISKEROnHNoVYElxb2ISpEjaysc9j3IYpUsJV+t83dwEJCYaUC4rGCvjnS3Hues+G7SDYTOZEafiWbUmlx39WnmonA3uwVyOMt+MWPs3Ai2SRq+S6i2zuFDooM12pndp/Qa9yTaAvEHWnfTmWi8vE8fmfycbQyjc08fZaprL1YJqFr2bmBtNngBU72wYBhPBNsWrGHwFYTZ9+66n6J1Zy7+PvVPUMicPoXnarTf+G/omC+Dyc4JH6Wr8unU/HbM3KJbXE+aETtRrNJfCwSm5JiYfaNEavMvB52Y/02zWkofVlfbUwv+ETviWk1Xlvvtb503wL+mcPphsB9z5ZMh9Ro8U0+5E3IbwFmlNsC8bmAl2zmgGO4e1Hh2lD+KZN2qmFHW6JP5X07bXnK9KevMzP5mpBPap8QeD4eYWq1QXHts+vX1OhlZTrxjMsv5yXh7RbUiOvHjA1a4uwEVcmo5BPdV2Wbbztp3tpGC+c2bsAMJNAYYB7l4DwOhq09x+dHS5Ipl7ua3PrjduBBw/eXZ68rs3nk85cF40lkb6MiroW6dY0R4iY6G5EgnlkCbhja/DbR+djQP1AU5ceD986dDULHx3xyId/VBi7g0dAUUsxQng45WOJd54lOGIPzJ8hYv0rVL5fqI4NwUpIJOg+cVEMl7G7MQzYGTE2fWeVMfRYmps0kAKaTWPYieeNrM3l5aMNPnbSN5jlt+sZ90Tknd3jZHcsKU7r+lLFAnrbZg+T6/v2RkLxiA3YqJqCsI6cjjoP7hd0fHIZCd70W/NdhZKwf9cBg8gSbnPivGnIuZ3FnvlhRE9GFbwE9hvdy7qgB6uB/NIBPEXAy1uyzQ4r0/+DcwBTxZJTxzXBSS96/tbmZ+5OMecvsTEgjo/81DybGrq9BOvEI6AsQm9Jz3XHFjOlUiMG2vChfGjHkpvWMqhOTmcHnVsXVhl//3Wc65tTMm8uC9vcKLM92Lt9A9wiYu34d8T6ZePVsqOvwU23Y0ViHX9a8ZdHjOc1EH8PK7IeV/vHZ3tr9K62J1SEmWdmfv8fwoN+3TEbax1AiuAde3kmYFdyR6WWHjZgvSHnprsPXH5VInM6ev8CpPvtzZa7n5r3BTj2cC0zr9/mP0x4qin8AedtLbK6hhriIQBOlGJ1DWF2rolQeUtwK4teJ7i9mjE/Be5ai2uMG6wCMbuUFzLUUNQK0+hj3IzfwsKv2f1f2zuuMgAU2ciM+B12W82vcVTAKqZivsPp4FqaEg1OlWibyrvUkCRUW3rCoPli5E245YbCblAtvOq07/WL/ZW20Mh/hUhRBb7tTDe3lRiGj5ZUrquJazio/RpKRATKG4CR6N+uuGyEKH04B8u4Nfw3auFl+qBO6lDxF1Vhm+Lg/YoUW01wu0nIj87EYfnLveQ2ucboPcEZyRNrRUfhSlfeMobAaWFTJ5A3uE5f5/RpijXTfTc+r+AKIjc8nzIN+ZqpbABJD4v5RN+cQaXCiEVV/KympZ3wwFpvUMj8jFGsCtUf4EXHdn2O9vDgALPkBrEXV6KlVQAPhu5248tZTymJmEpw42lJg6QOmMQQeaua94AAU9ImOrmrXcwa0gqi0vGFsg/Tj/5EXN39lXLT4ccuHuxgtNJxpcnSSQd5zF1cH9FCFurrwLYDDylJ8pcly4BvND1Te3bn3i6kNZIbjKfhh/V35TWyPbnw6OniJ9WdM/1wA8RABa0RU8do5yQ3o4xWNCwVAcgA2DqS2lcqInWtlhUpNg49ihEAUY0EVakiLLubqF5YBBB6DgcI2+duDfwOG2bi0sA4JV5lBzNLu40GroxQTCVSGK/DO0VJnTFHO/Ssjnwbv/7riK5n8Ww0JiczbejySmMW/6rQP//y2ov1ktDonThTA2EB34IFrjbPcVkeicQPVCe5i3zUilU4R4r38W+QAcxQc+HRynghNqwjZteQKvWAKhbcu9kapZUS+O/UGjc+BJk6LOrj1vSKmrYwchIcvDRXDWDafu8XU+Zl+Nzd7ZU3yTKp9bOpUlW0xFzJtKZiJ9EQAHWh+jjtkkZPujA4czEPoo8AqbNN6qmPzwna7YudYICUrQVcG5gKiciR+I963ZnxQIkQBt6hzX3ElDBmmnfdQ85dPp75v2EaMT5cPlZScCRMHrSLz3htfy3ohT77+6C4VEJfFsyePVnuo3FJu12XBao4k86LvKJ7UxRqL4Wno5roAEqFsHMbgL8J6P6gmV9VrcrmmWuFltPlpshg0bUSwO3oec/lwhRQADwKsEOKkNWKXWcnyRmv8W3NYDZwx1fZP1JL8UQhniFPP3PGcEbVDBhifD8BC9AYPJw7SyvjYYaX5go6aEXNaRUZHCC3eOhAeVmB9uF+ZGQSYmVuZnPnCtYF9IjNw4fA+xwrJ6GpYxu1tbBgALeNtwNGSQR9XgO0lKgFpDT0hQw4tRsK8iGJ0XviuQIS29wFQVf0yFqowEGMR+3Ez3PvJs/M7wj/jlaKKwVSp+nuhXTtsMM4ox5XswtKUkSS6IzfsWYw/UaQa0ugNGSyxLU3Ah4Ozj06DG5Pf9kcgauKIOcb4AS03+WKYG/5mHB+BNdGQINBo2JFpZO6/R4eUKRZzMaecvV9q7Rsw0YfVOxrAA6mrABN09z4inCImtCT2sEiqPQl9A1rjEf6wbsGv8ATk9Ke3Po/YUynb/Wg4qhcVFXjmVjk71ZSe5Jde8M+3kyG56CGlPRqKMarIshVDJSLrmjY0ONDc27ee85yiv33ZIvcpsPHnpSQN/0NqKCKE6p3JcTcLDrbY/xIh4wveIkDkUmqM4SuAJZKgGhB39ha2Ti5kR5cX/d+88/PbAlBWvl6OFiMNkOAFPdGu2Ox7FMbgjniyT6GWLmeBrpUnRGrZ/9AO2Shv7/i24VBu74/2H9SOrfZtcmffVZe9fWoEUGx7BpG4KL3JzysqrMpBfy4RPSj7vt1WKqF9h3k2PkAuawCZu8cA5WVR0bb5znWG9wJcKhQV+wEOiJ7edzsBoqFv39SHiBMUvA7tEdeDCi30SiX4lDbHcLBBQSlYy+EFwX5Xg8WzqzGv9VXZZy6h15tqgvn4gvCWx6TVMuZ8kSIxCoiKIFWjXH/4GEdbB2xf0ud3lOxMiSlhAkFgHxxo791l8gIFJzRKQs4Ta0pErkkyHO+FiUcMDKVQdYngZ+MNBdwRxVSgqNoIBj/jVm50T4ilrq7S+qIRG8jqEQs08OhCzLMAR+7iFP0JrrBtMpJFUps96tuIJpmRG47G0C+LXO1nW72znw6VMIchoKoWCy9cMNbMPQV0IB+aNlrOR8oNCuSES7Ym6F0dFpsCuyDw0bseXJvhNjdG6zwyTlVzFIgyX3Oo7EyvEoGQiQbKOGux9ScWXRdpRUVTnvQetNtI4vh9BWAZA5tV/U59ylG3nwnp0ITtrfze9UyKlkpkB91U8SAA5kFh2rvFAYzFI9SdnONZIORz9Sl/8IhcXzTUwvsNCdoW9JUe3apwUm22dbd6uo8HzWTF6iNEIxZGuzAWkGkZXVq5lj0Np2MnpjSvr1ijA8O9GBLJfPJ42flOj3ldF9BKG9FFjwzkYbuHq8eh9Lpc2Ed24DbUr7cMtCkGN+XH46ONszHF6SSG5fsmLFnz/LkCwM04wuVnIcGgaVCekIJrJxwCDCXcKpK/KnW0bOmbS2KgjNTx9OD4ua0nlHH/TUKNW6P0ZVcAsvDoFRlPDmn2Hc1NkDaFrlWupv46+/NJ4uFx7ySfL4Lhe3NMFnQSw6aRhSAiPv/BDi3s3x/m9fXXz/eQAVgkvwA6kjro1dKIBvRos/ksS0LpldFEBv2StXULsAoPmRE2nfxiYY3q8bZvMrcNImK+zveo8A3ygA8Cy0J7WpO2yv2MjWl21IFiMSE9JtX4PbSgm8Q1DEnkYMZrcpNsbHIgqzMby0LRM046V70IgTi0gM4ZghhLu8VkQzoWKe6hWPbYHuO+WG2BplR4i9SeXfFSs97syWKSoAb4qiCYPbgth7cJ6q77FOHhghuXytNvdFqxqd0CVu3fYLVnx1nMVDCWlhxF7wH8mdVeja8dReX265LE9sWcPzPLPkK9H3jn84ze/+hBnBC7vgEMxOTuxBRqzCyfkv68R3Jh5ZMwRM7L/GykBvV+y1ZjsyNGPmw9ioC8M3WYhqt/y7iCV9k/RX4K13QnJ0DTNliWK0n/0Qg6WHSwt9V0g33Ii8C5lQMQLTOJhd/qeblUzjOEoYKkxjwrz0HsR0mJ5LT9ovx2DYCQxu7SJjpV0iTtJhTtFIGEQh+h/XhwFVj8UCMHhctyAQBv5itjssiurZbRaFi/S/vdFvERVvGW7TuaC7Z2iHamybCBWqAxWxg1ZvFTeAr+G3DbV+k+Tgbfka77WYY+3teuHVqXnL+xxoUfN4buZL+pi4iX0vLu4yFVkj5xyLZEVaL4dEG9DoFUXv66Gtf/7X/ojUWn450Gzq4Cuy4/7QGlf3Wvfi44sUBF/TUoSDSU+kew5dyS8CcY/M2uvedQUiBhvqre1kAHImJIUbcP5ifDqqL8/BMCzaAEl94vp8t8zDdhwtrfbh4jMncqL5vCyGByIT4PxlTf2w//lE+7b/jj/86s2YeWAPITnJOVrLx/DqqRxeFnbcY0V9GI08PLAc6hYhqvA2Acs9kfubLcG/R/fY7mUBWMZoBHaYNwMEUXAH2xon/bGigcNppJl2GmsUJH+YKL6OzzG+gnXx3j7PU8v+3obPYXa9qH0+/cuj/MVwok7AsTw92Y2Kt469mai7a20uiRhX434/+gQ9/dBfJL9Kh6wLvocXJBDVctS1Cfod4zTZ4dR8e/wl5j24z365y4rO+WzmD4NQfdiHhlOm9iI66C6onxSNPvNkCuUn1/9Qwzt7Esh8cO2xZMoOCINimIJ6t6IgT/BwfR0N5+O0C22UnV0nO8dhdTnmV8uD49sLB8PgC++MPboygUGRDJ3wamxzavQy4KoiXuB8+1BK87QrfZyrRexdibxGV6qFrWGpm7l5/LWRSnTDwCnzurs0S8uIsRLdbSJdZ7Os4WfVQQol9pxDJK8KPAyxkIaVse+VDK3ExAu6kQX/fnaVHEsM+lVBBPJmoZY3EBNVabyWStiCQIOv68XePZCLpVImos8Mh3xIvPJYRdIiP720DJlHYpjaXu7tpWDro8MiLDa/VG9tto38t8obRn7dYaUewlFgzGG68k/tkMMH/PX4I0oPQAUr6+6PsWHPcRbbF+hUFDlrRxDJxzkK+EcU0o50Gnl7DwB9y0Av1a4XWcm8o/Wo/awf7G5YB5rr5VykX/etD4sQt9jAiHpMje7fq9ALF6teB59+VXnjRL9louBfLfOK179HvVetQZL/6Knhg8pf++LQTpqSbyf6d72eRunGtV9IfSwSAaCmfcDypl+QIUHOurrgn2jroEP9z7TGFKNQNK8bqwOU9Aeb2REsyE3AIEtEnB7aP3N3TeXX7GfgDeRLu2415V2HnEc/1vBur2u4LZC2x5JCC40A9LjJ153MjG8z83OKFQE5+Elx5O4Ximh6dL52/naBbZEVLnmPSztdGDS+xJqZJE1brsA0i6cS6xjuzzo8rN5GQjQ+OcWc4YaHKNjeiIUzxkJvMruHG2D1Fdn3h6M+lGZiGNfKRZfjLyjh/AIpZEz5fGliOdDaEGD6/yOIHF7aQiMDiQaVd4qrYXERzQnpvj9xa3Nb4GDqp65IbD4vWFGnFsmLDvlBG3HPVf0ifWf4QgpjdDdkBHN7klAK8olgCj+qyzTPahvm9iKT5pz+dLLuHzwtV216tpiAJoCNrExX4j9kyMn7Wqfqn6RJShjC+daKOmCIuPjdqoedyHQMbHS8IlcqHxFYgXnXW084+cmgRxEYOfFOkTY9o40/m07fYITwbRBNtAK5hY1gw42P/yAW4WB90tG1io51jljpeb95hnEtWsQr7Mji6KnEFn9JvC4m7rxk1lqJMtx/PA/xAuTjCoTlYOpdxLH2FWXydCsCSIRh4TzUPAvu2Tt/aBDRv36e2LYeRzFKlfRpbuFIWaeqfXl/fCh1lEcUfltj7s0X/sge6UyfCA3bAmrKNVHQolS3wTGopsCdPgMF8iefG5gq7b/HlcPvP4V99TcuzjbetMxJxTbDG3cleJ/6Q0xQJuUwN0lfT5g7boqkkY9SSnu7F844ECkZfpU1x894Er4wNekUfYBiA9ZTnM0+vctG3E9HTeS0JTTJ1YHQK2dkiklkPb1OlE6SAE/EN7Zn/ZriKETzDCviLvuGgbC41AW2h7m9KulIkpHd1bZuAhGViqvMhkUeABpPNobtTGCm/EAzhHtI75BFMQYtPM/DMRHvmam54MkWiItSCaraXfFYZI3aRqemr2ODlKDY+51906XQoEgb6AKXFh3UUr9GzapDZGt28Dl9X/FRf9S8lRqd4m6vEWbfaiaXV49gzCPUfaDCSDQFIQ6aSIMfmfbxe9kSXKRAIB9+NQY7ndroGZgCga2M96q9KbRLBMYRt2ulodyhS02YlfWXTWRi6sQUdO/ImH00P7fyzIXbYcxkBzsYxbKLkV3u14muyo2y8EPrByzGm4R6MqNQaFrhyLrrt1ait46sdYcxYkk/kK7IZevK4VM3ny042Yye6xVovMbGIPB1YK0p+kUsCOnva6rsxDgo96P4XUIGTmZLCojE/m9kRLMf9qPYj+skxTivwsQhw8vn2WV+R/csmQV2lgQu1ieNP2tMkQZ5r954s/8MmbxspJU5uf2fPdhlyEPxuT9EJV/gwZdjSrND8heOX/dDzO88mxZ6/gJY5ynHU6jBgNZwW50kNafGRnXFsF1h22O52pmHnlzTcLLYfcK2bVJz3keUk5Ztw7zYqFVCUA3ylKYPDTeR6Ay5NVIG9uU4lsz5+LaAtbxXlGEUMlUQQexBmRjKwZUJa22dSi/NdK7IpE6CVAG+Fg/5AVD9JeK/iOGCRjjzTFIyMLJJoEH5tTj70Pg/tt7gYZBK/F6tKbqiyvFsIQ7jllQInoxNjMra5oLrqNC0zdyr+YG8uWqv4c17wr1ykujtu5tWpGs9fjyInDMUPVVeHhFMf6FbKck56gzjsbUhooy6HGrQzQOdOgBkwaKVLLdV3uO2YSii+hbwCxYoNhPc/ZRSxEC8Mrg8oJIV2RXBIu6yqpEq2NlpFpIpxDZgQUlyK+utgA92cGiOS4e3gMNP2qqvwF1UkgKPY1x1m3BW5NpCudjvRcZG7M9BjglLsSwKRKXo47ETA50pwtK31KIPs+xDPMncMYjkkLU68QfYWXXnCbf7PQlvxZ1QWJ9WFXY+KShtZZHnPh0cp4JOOsgNolY7bka9qHnbcrQEalbZpPJ9L9nXj5zNpgTldCpftPbuTxJKR75REyW8m9VC1rDUXw2qUQH0Xa1Nkzul83YOUy78PZQESu2rzV9wk077wvl7u2FPF4tP3nVdNjrkxq9pRUTaW1LZe6Ot+79tW5RNGZJwZF5Lo9IZQ1IGtTNZJQ6EftPK1tsAmKknVSetMbig17i684k7hBk/LRX9CPoJJD3rkBgWL06nuMnyLnk+a5SahH0mgpvcyWVOFosICv41S3qzqUeQzy8ywpvZtyjlVmOG/TENsRpkinlw2Gq3diyo+bZyhB4oE3FtbSPj4mZB7sbGf+xL9pqS6g3mr/z3+xn/woxa9pq2Bqv1wNT72jfhhZzGcCYuG/rZI6Tb8ONr3wtQ5HL1zl0PP12yqIRUAAAF7K85YIHPAAAAAxZ8AZ0A/AQAA)

The **Trends** section shows how the query pattern behaves across recent days.

**Requests**

Displays how many times the query pattern executed each day. Use this chart to identify usage spikes or drops.

**Errors and failure rate**

Shows how many executions failed and how the failure rate changes over time. Use this chart to spot recurring or isolated failures.

## Analyze errors[​](#analyze-errors "Direct link to Analyze errors")

[![query analyze 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The **Errors** section breaks down query failures.

Use **Breakdown by** to group errors by:

* **Type**
* **Location**

If the query did not fail on the selected date, the chart displays *No data to display*. This helps you quickly confirm whether failures occurred.

## Analyze requests[​](#analyze-requests "Direct link to Analyze requests")

[![query analyze 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)

Use the **Requests** section to see how executions are distributed.

Use **Breakdown by** to group requests by:

* **Location**
* **Type**

This view helps you understand where the query runs and which execution types contribute most to usage.

## Review locations[​](#review-locations "Direct link to Review locations")

[![query location 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)](data:image/webp;base64,UklGRsQZAABXRUJQVlA4ILgZAABQoACdASomBc4APm02l0mkIqIiITJ4uIANiWlu4XU0tzhcfg1mG/V3CfPGbrN6kH8l/1XAx5ED5K/uPaT/bvyb88fwz4z+xfk5662R+0v+R/WX8P/ev3M9Sv8L4K/IX+79QL8c/kH+D/tv7gcDEAD8O/kP+h/vv+N/9X+R9BD+G9FfzT+tf3b7dPsA/jf86/vf5sf3v///TPeKea+wB/If6n/lP7b/nf2X+kf+O/5/+Z/Jn2m/m/+G/6/+Z/Kn7BP5L/R/95/ff8x+z3zx+xv91PZT/ab/9BMf4Rf2Pih01aeIDvm8QHfN4gO+bxAd83iA75vEB3zeIDvm8QHfN4gOsf4jX35INWucXBY2XUg0GuUj9Y/wOAZqVPSSDxaM8v8ePVs2e/iA75vEB3zeIDvm8QHfN4gO+bxAd83iA75vEB3zeIDvpvd0J6EaOMdNWniA75vEB3zeIDvm8QHfN4gO+bxAd83iA75vEB4EkULBz0lSYPRZWgJWgoFQVR/9SuRisn3syRvZkjezJG9mSN7Mkb2ZI3syRvZkjezJG9mSN7MkbwZy1q/GiJDzxHd1EwOtI9Y0stucEP3QEAxQGEsTO8j6UVa/p0/ksHnQIelhatdiwkJeyL3zL04UeiwKhrvMzmpwD+hqZweGmia/95dPCMHP/U8jpBHOSTssxmPCV+73KAiT+VsXaIXFRRPad6p4gO+bxAd83iA75vEB3zeIDvm8QHfN4f294+5vJSZflJMLMY2BoGwVF59fyjobjMDE3yl6vwofRpwUcG/E4SJG9mSN7Mkb2ZI3syRvZkjezJG9mSN7Mkb2ZIzCGC9PVqPq/rXonPOqfoky/KSZffYQJVt/CR0KEbiLYCw9RotDZLoSfFL3Lqg3wa+UZMTjezJG9mSN5V90cZI3syRvZkjezJG9mSNOW1FaircQ1lKQWEDy8Ac9GAadHzI5L/+mSMwkY+bhnK4a5wqAHVErBLQRj6BUlQhjDAodN9xQ8QhniFZAHTYEGkZA0SQWRVS3wq+kEVxxrms2jdnqEf2qC/JizQYgx0evOMdNWniv+mrTxAd83iA75vDc1MBxsYh1AP4NHk2zEHEB+Drkwam7wukB7K49LXOYaolT3yGj2bnnYs0DcKpHxWzFRSz0v0oCLpQEWJgxUgNX4NlARdKAi6UBF0oCLm3JHIE5juQ/RaQ2FykeE3Y9NWnfKu4WzBaE736RkjjHTREIMsYXXK/ExL4GuOzcc5zh0HSLnfeGNHxBwOAYKFLIF5dW6h+Iqvv6vLFRPDr6UUN6B7R14rC0xjxQ6atPEB3zeIDvm8QGhD8jB+bCV6EJl2hnvMupGM9+wrxqmTQRdJ+aboeOGIzx7xC6xVjg0wxTi+p+ShgOxLlLX2Osyw6ui6fE1xGZ2sYRG2wHeYZAYFMyjXhXHUG2Pv6FKG6XTUgjF8zW2W+6wVutNe63HpGfDc5Yqssa2WSHBc5xq+kPFShj8fSv1VyUkiEXGcL6EqkHX9E4lvDdB7/0xnVjamUIfbJ1o/POQL+swRjyuCxJH2wgnt9dAehGjjHTVp4gO+bxAd9p8C84IukldTc3OULBsDFcS+KpIYfLmG+iZOxnucc5kjezIpzeRV7M0aABeIsstIJqg3wbKAi6UBF0oCLpQEXSgIulARdKAi6Q0t2Qb8x01aeIDvm8QHfN4gO+bxAd83iA75vEB3zeIDvm8QHfN4gPAkYAAP71vkLx9II/ss2wPjBXHnvEEDqPBAAAAAl5eMICHV5nxsctlLXYIWP6zIh0x8BR+0A/Ajx4uF60ZLciDD+Y/qcoAlwi26Pvk9eBlpJ1PUUpzaffQinq4MdWl9YSz1CBiFz3aaDG4pLVNEOFY6c+jI09s1foO869tumM6Q3/Yzp23QqI2HD3xqfXOobd7Ro7M7aJ7PQGHIBivV1z70mPX+Wx+wNHe/n7ROoosQ7y9VyNfzbWAYqmwfzee+dQi/G9SDubwpZT7VmWzNJcXAA9VURvZpuhqZV1IlsQdGbxVB24qWEYxBELRHSb9EOJM8TsehlH+meTsChGY4Rl60Tg2b6SGkGNQP30cio2K5b0reZbsc5vPfqKy9SBHvpHdLTWmdofOeOUIvg66T3b8uQtK1inNV9sBQYSn5Uom0dEM43kZ5gvxc7nGJSZ96t7qDECik46/MS0uemBC8d+JYpXQ62/gjY14cToeS47b0+B8XZQfdG5oYD2LZxXQD/dFXrxLGwMXhVHhXPeM2qSrXUsRZarol9TzZlV9/lfqvo7RkYI8drpfTAHlySjNK0i7AAAAAC8wxhdW5gdleIAAAAAAVko12TEmC7qiL+8WDgsIRN0uDnhYnPknYcLVNBkadfJpMz5E/EKV6W7b+3QtlEaqZtZGRERgMe6i5slKVbYFM/yq+VXyq+VXyq+VXyq+VXyq+VXyq+VXyq+VXyq+VXyq+VXyq+VXyq+VXyq+VXyq+VXyq+VXyq3/apCr/jQU3tolV47Wz1RuWe8qrmaO8OQge1Q0Pdm4+CgHaw+qPC4r0IHrBHcPB4uoHg2mv2sClzYFzC5hpY/cv5KyjDUbjAlL2scc54+97p6W7M2o5usxsnE74GDTmH9DWuh0vWMRJSRRzaDS+dV/Lrzl6CNH8IOrzRJAnKbnXBTvK46vf3naAelMuwYljSfDXFGovTPcWRdKw7niN/rBzki+0f0t0T/LMUtOpMZ5hWtYGt+mxZLM3HdvA/BFPjUGhdBbn72lulRpH9ySsMl7fVKelgLbg0ywEYOoQ9VHZ3L9RS9RqPt/H0PrqDUaxZ8QyeJpnA/+ZuFstNxHUlbz6rdblJrEZh2HJE0Y0Kwdy+o+c8XfzDiOTVuEwO4gThZrhE/kmYYZgJMnGZEek40ezN1oqAZ8l3SZeY1ENEhqEyUIZEcX13bTqk644qEBR4Y4XfYfBDynmVf1Qt9awZnG47VQAzSEivJC6IIOb2S8zpS06m7qR1BnewZ+ne9AZK57Yr7GTV7OkA9Gd6tTAdjmsfDvNIpFlFHuMywy8CDktibbU6Ft/APNAxvxPF88snr8nB05+uoTtOdIArCKJ84FZfwiLzOUiYRq+Fi7YjYBH+HxodYjlVON+qxjYlNvuvyhoHdd7ii5mcgRkBTJ2uC6WgVG70eiam3xWKN4DsznVnvtUbEKJe/NHwjOP4owuqpK6sYigk2L5MRWJX8iza/QF3z7ObGjlw4Z2iZcgozTUK1Ejolr0ESIbbjbpWa3WpHG+UvxmMEngJ/naXKQsa/7mtb5zhivlo0k6Xfqy4C/+KsAQiiYdEWwZxCz/e2ZBHmmyEM6WKYtSn9bjKdveVFdJgz0FhjOXlTJ9gYCbyIsym0Joi/e5B7vhg1rle5tewJ6rWeygJDhWd0G/DPzfs8hlFyKYbVpXtEhXgzFb61pDWa0RYqmYMUU9+UzHCKZ0FxrO8jqKfa3ZCCRwdi/aW0CAr3FrjSxpH0dIOKQiwQbf6CplRFTd7JWzk2f0S7RgkrBTA8cioMjJ9F4eyFOcmohUK8vNdRjRX/YWjiAwIbJgHyHdO7Q3/MhmkdAsXAvC9nESh+DLo8SvpiNugchtaWkH4F52n8EkwPWpjBR8ZIHkHBnZwjBWL8ZfC0YQ1gOhwN1Z5waAdziAQ8me4teDkJVo/JZNv7zyn006X97xX9RxniOxdu84VYiwX5dO/gPBA+WUxRfWaV9isob4gbFE9stNzxu04PbepQL6AN+W3U6D4BwplLGOuG9ySQIqbwfQwAABHanZ6odIrN0YlogSylOrk5CpYLr0WevCfIkgU/TnD3kUEY6Mc6c++QhBjjzRJkmaB8EIDiGVgU+MoCBNDkQEV0B/5rnG7kr6E3aTVEPYvbAYmhuYJtieOGhLkwUigVAqsXWFChQoUKFChQoUKFChQoUKFChQoUKFChQoUKFChQoUKFChQoUKFChQoUKEj1QD0JIeaI9d21rjvTkf37NCPg8/RswNBi9Z0YVpJ6Mt6h88EHJ0/FeaouBXzRO3103MlG5m/5AQUgjeFdiU7KfzPtA/M4BcX5aOM9BiC4hVnESjMsBLpYOe50pyTy70266OAcnD5Azb8IAVqaOUmGnHAAOtVpoIykLDooFmilfoNCoAT1bnevuJt1ZpWxisKbeEY8wMdDO3nAuMDQKxMvpgbllVxhheCKNWuT17JQ++iT4u7Ikna9r7ZTmocWK8Z4KFmo5ExnD5Q/qmpV8V9b6z5jU6Y2O4B65hjgG+mNgGhxH5Og30dRBYrILH8rOm/P9T1WqzOs++bth4JI4iHuOk2LR4r8ggQYoFwvrMmmbug+tlKps/YnNX8ZCQEV3A6JDpesS6v47IBTIn/4znXeJutsrKH/G5d8TVRkpep5qGMe6vOq4SG3Trblno1ZiDnsOvgZVQCRosJsxJCYQzULnnnY114ENe1WvpuF++3Zc8xAhLYmrVaJN5g3/ELCFyjGt0sCqmOh4LUUTCBMWDioILFEB/w7c58sxBGHAEEzla/LLREANEKy3yLSSViQJ+5LGRUa3TNihb7thTkSqoWJqXvjrakXnZS5if4f70xBxvZQYZeNjR2EsfSMV7j0BDX/o4079ZWGfxOUgAt+JoBdEXWaDeI3sPM0RuB685C00PUVsNiWo9h+AxJAr38z8RrIJSML7Y4VLfsyyDjTkKZBWFq4JEaFWwXxP2HY4502XRevIX5N64HTTuf3FmqYdiaY5MnrW5C4JXSsNgMhQmtTeYE32Hd7wu5xkTo85eZwrLfItJJVxgOlCDfAnClEuthA9JdU/8pISRstMuYOnyMs75lEaWtDabfU5GSJC5gA2D4QdKrOzOJpPeXyM2fwUtHH65Gm64Mhx1vJaDSC4LnaJcnoW2a/4OGdVMwEOmCQzfU5/KYxIkj85DgoJQMIDaphygqbPtg9X8BogZAGJqtt93u9j+ZQdonTUTMdJRJpxT0Oxm7JTuIaP4VA5MjJwKThKKdx9jLtrhPe9J02rI4/VsAZj5vrZizCuGYu4sw7AA4/Ojhe2GBqNHfgx29XYUpVApsgCQCf1bZ0XcoWAYXb8cz0AQs/yCGJBvPWTixxS9n5bvs7fqQvuKuc+S3cVlUAcbUVg1tuOGbK1BjqwCtZ5xrjzWIqHsCTZdaKoP+Lp+L3p+aGABZ+n2aGBe+x46Tu5TaGW9vxHP+76HuqPWEYVDGTLOBLiN1DCnWnzmH0YYJMTd4bFf2kVzoGJms5rJUedeXWRiHz3KPqvRB8nene6bquR7Pm1T1/f04/Dmq0TPLMKgDCww3HeK5CoYdVHhS/pJNbsYV9aPeCkYdUTuZaOEGQgnxjQvFw8xZwtpHXmvD42lWATDd1frWutAxJOlck9UCvUFIhzg57FH9awpQ9asxwXtkPS3trugntSPPYoYF+eiyfLrJMDXnnTGhsR8Zz+n73fb9wBotMt2KDfIFaX2eyFzyHjIF897FT0R11nstE7pqNtDK38QxWhGZ+zHXXfX8XRJ3iXvEuhgGjbNxR8cIM+i+/otk92YQGAZoD7K90PfViGow20JW0Dg2TWl4qRzy/buR0JCk42ni/egiTrxfJB3Tp4/y9mcll9f/ZGM2Aww+a8o/TgZfZq3Pf4Uu5lF7EAUAkHwCC6tzAckgdhMnoBN37wAAAAABak5bE8A09CN3WvgMEKHh2Sski0cwEuODEEu0JmhxkfvVFafs6KBZopX6DQqAE9W7MbxUxUWSn3E26s0rYxROT/zL8DOJyvLrvAc5YtSMjP2RM8yzCmjJ6WP7+yPPaPJMaO4OAeUpghdqasvLfyNSbQR/jxFzSnShOzN63dbJCAkosdps1z74pXAJ07ev4au+pL/MTCm0RsGBT6F6FTY2XFPoWI7/ArN+HNRxN7iuaGwMTQyEC1Pbpnb7yyyDH3IcFvzvu+aEH5r4JK7jhouZadJRyCpq/qyuDjO1qQo5qD5Zdo4huITZT51oKE8OjRv2b3LeObGM9sI6EdnTdUK64Rmy1Dm8TAy2kloZPP7yjCO0hg/JXxNF1hLZcWzQ9rtduf/ptD7dgfadUGU1ZCdss3m5teE4ZezE8aaGYTeZLTpJveNr4eKd8AMklDonS1sVWuMg1IcrwqDso6bfGDIqqpy2B57bpO6cP+YlB1i5K2gM+ZRPVJjzX4avYehx52Unq9a3TSuS82KGsacga2Hiclm/s+egXYcrtRPdqlYHA1DRGu19DFI9uQwKfXra4z06HPce1ekMEC3WFhMMlNNtwauXUg5jQB7Jf8g6+7hYZz7QLdGiIyLtp4mGi0zJ2cctZwQAIgKXq7ClKoH4VT0Vrd3zaJ1txWjezAt/Lys5tlYfWPHm6RBe0iBe2ObsySWOYInAOpRuKQyaZBPGJBLq3YgkiFQOPEevYt95LmcjMR8m9S9WL9sFVXtc2i+slfJtZ6doVPcZ7CiSdLLb/nTv7ZrEK8YphXp0/iauAcbxRbJw1n7C5d5YT3fcUr0cWCPrx8Bg+TdaAUZ258Np5fXBsfCn+AlDgJv4wa5oqq2le6pT3pU/fCBvJXqpzUfIuj/aGxYbHy90l2sO94wA37/eXgg7KXJzleQnWGf8/i5HUWhKkU3q3ph0xsigTuROX7wd9xCRqtK0kgZCeP9dTxVFoSHDQx9k8LBWcUNYpPwcLqonY6kDvWZF6XABrsOC6umo/NxTBFBi8bspzxfnjIC2z5PyDx1rAia6GkyNQ8fm+nUe5YbiAfFjzE8YR/yV5QSz+Xsoz1WGoyG16Fwgfq0jbrF1qrcPZ+F8IJmgIW4DfuOSsyiqiL5rmOhgq1DljDUncHfnREhPcvwAgNI041WZrFPSi3qq5xdf5rpG507qaehhdyWG9NYaOurQ6/sHv2GzVAsjEMvE3tCBkIzU6mXHdcSSAbnU3IrMyvafMTeUP7GPy7/f+oN4teAJY5s/wsbbyNFXHj016g9vu5vBlnZszhJpwvBYJU7KuUkIsIPde0btrguVP1J+XrV+XSjNusNoEfKIDMyTSOezIFy8WrqFCHlXEpjCzzzWP6X+x3CTYeEGFUBwQUN0GPeW6Y7HqrkvVPC0qjxl6YTC5zipU7wkSCxPKyAnINzUmn/n+sGLRLDyY4V6rAoBUJwM3iXuIHnlHxMPrjccuSqRPjzOLsseomEbCX2nwRwnflZEpIGFP8mcs3FZ4CvhIHqAXK+koYLNIlYalvjRcNCzAPj4Ck6seTkoyJYpLi2Q8k8l3JxFixuhw0qSaiUkfD8MN+QjqO4wpp56hE4HO8h+l9shnv/BY16tHejTZ7yu0uzKi4NQf8+zUcoyY1ndmsd0/Qtq7DPZsufb2ZlfjGtWFiMd8Bx0L8GLAQZxqBqD8+B565Nq2kR1d9s2DDhU0v7H3GT47WmrPXnp0ZogVIZYmx5otfarZbcWj1RTHJdHQlsXyPvOJI/5snespQiXk67sjaejjFjOIb61SLp/3tuPJWdU3xas7wpDJnldjVGtPeUpt2/kCid1nibukZ7UoHXyKi3ie3aTQc7ZrvikoJT9GdAvpgW/W/C0e28HDhBUA2wDVCkAl7FSz+/j3aNTvBAphewThLlbYD2A4OoWHqLuS+hb3hQKVa27jS2D6wYweZAnPIFWlxpABh2W7j4vbFiawZC5M6i24Em4sm3edaZ0RJ6CkjY/ZyJmymWdL+KAzNLM/CqlhLsUT+oIugLBjBYbRzzpsjUw7LvXjndx8BiD95pJaJZeR9fkwL4XFna+Rbrk5vjtWW1CRN6Q0s6rueJmrbEX2fpLDMBfFZl59iBm1/K/EtkD/QYkyrpS0qHckD+aeNcNZiuH2ND0aYs/d1HFK86JplBWDZ6bFVEi4RXILCojOe59c13L3OuKrBruTmCr58oz0BknShazlzKPkpOBoPK8lj90fGbSAFn/s7rGYV4VvFH9oOJgshpFgJ3G5XTWdZVpjhIYjyr0h8zngDUWV6LsY+4Lc7UW+lH82aFL+5jJq03JUCJMtlW4rHekOvzvAskQbpGG1EWsraQVsGWdyFb7/NCD/UkvxbySWycgUAKzSX2mWwo14lsMTCNMC3xVwdcOLBt6vo5RhnIAmxYRpQTalwzJexr07mcJcW7ZJVIK90wpvn5hJ/bj1apyHpoHiP8I0uHAURyeRcSWY5X9LxLo7SgResM0RlJ+jqvHASnTqA3euUTBzZ3Z9BPjjC7xSBn18Kd9w3xabD9YuJvJe3hjEslwntyAlnYVSZ+vEHj0+nX/XQ1/LsK7tMx0SEPrQs0wyJYI/kW9IcpnC00VZoGZ3tHC8wU6U/bOOV/nlrRFa6smOVu6G2lbc2O2zNOcnzqi/SuFVp+ltu96hy9vVlVUZUoR6Jg+ajdxyx7WNswYGbSdw7ee45/NwB+66YZCLfm8qt22B6nX6PkWJeZ1ybT8FHOsi61MQe6K85NQsiAdav7IOjfPuPbOY058f3UtE72O9hoCcIddjScO8Mu9IRxfUmlpD5eanCEjvu69B10EIJz2MHAaisLArS2hdUHSkHDLVi5HFXyAMVwjI8n8dYrgR6SppJDEegpRNZ2j0bw+vkLM3r6pCO6AXCMBL307EGW97CJdCb0/wmXepYlFGuxpsiDm0Sz1762xxbvHI66o+94ljcNqzKV6CUx2sJoS6605zNbQehoMaqizalVPgYoarcuMotWfhrgdh7rCNCcreoGvaWmivX8P/aZEBSC6g1N+NjHf7LhLAbNmDV1XTEgzYzkxYHucNTdOyY8Uw+DVLUc9XkKFXuGljjaNAAAAAAADhC6tzACAAAAAMGIAAAA==)

The **Locations** table lists all locations where the query pattern ran.

For each location, the table shows:

* Location name
* Last runtime
* Success and failure rates
* Number of executions

Use the search field or location filter to narrow the list. This is useful when failures occur only in specific alerts or contexts.

## Use the query drilldown effectively[​](#use-the-query-drilldown-effectively "Direct link to Use the query drilldown effectively")

Use the Query drilldown to:

* Investigate why a query pattern fails
* Confirm whether a query is still actively used
* Identify locations responsible for most executions
* Focus troubleshooting on high-impact queries

By combining usage metrics, trends, error breakdowns, and location data, the Query drilldown helps you move from symptom to root cause without leaving Coralogix.