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Debugging flow for mongodb atlas alert


mongoimport not working for mongodb atlasAdd userAdmin in MongoDB AtlasUsing MongoDB Atlas in VertxMongodb Atlas: not authorized on admin to execute commandIs there a way to test an M10 Atlas cluster on MongoDB Atlas?MongoDB Atlas replicaSet nameMongoDB Atlas Multi Read/WriteWhat is 'context' in mongoDB Atlas?mongoDB find a query that throws alertMongoDB Atlas - Java connection not working






.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;








2















I'm fairly new to mongodb and atlas and am confused by the following alert



Query Targeting: Scanned Objects / Returned has gone above 1000



I expect there to be more data to aid in debugging such as the query or at least the collection. The query wasn't slow because the performance advisor didn't catch anything.



The only info given in the alert is

- time created

- the replica set

- a link to the shard

- the type of shard (primary/secondary)



how am I supposed to debug the supposed alerted issue?










share|improve this question






























    2















    I'm fairly new to mongodb and atlas and am confused by the following alert



    Query Targeting: Scanned Objects / Returned has gone above 1000



    I expect there to be more data to aid in debugging such as the query or at least the collection. The query wasn't slow because the performance advisor didn't catch anything.



    The only info given in the alert is

    - time created

    - the replica set

    - a link to the shard

    - the type of shard (primary/secondary)



    how am I supposed to debug the supposed alerted issue?










    share|improve this question


























      2












      2








      2








      I'm fairly new to mongodb and atlas and am confused by the following alert



      Query Targeting: Scanned Objects / Returned has gone above 1000



      I expect there to be more data to aid in debugging such as the query or at least the collection. The query wasn't slow because the performance advisor didn't catch anything.



      The only info given in the alert is

      - time created

      - the replica set

      - a link to the shard

      - the type of shard (primary/secondary)



      how am I supposed to debug the supposed alerted issue?










      share|improve this question














      I'm fairly new to mongodb and atlas and am confused by the following alert



      Query Targeting: Scanned Objects / Returned has gone above 1000



      I expect there to be more data to aid in debugging such as the query or at least the collection. The query wasn't slow because the performance advisor didn't catch anything.



      The only info given in the alert is

      - time created

      - the replica set

      - a link to the shard

      - the type of shard (primary/secondary)



      how am I supposed to debug the supposed alerted issue?







      mongodb-atlas






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Mar 28 at 13:53









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          1 Answer
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          2
















          A future alert had info on how to solve the issue - which in short is to download the mongodb logs and search for the inefficient query.



          To download the logs




          1. Navigate to the Cluster page



          If you do not see the cluster you want on the page, ensure you have selected the > proper Project



          2. Select the cluster



          a. Click the ellipsis icon (...) next to the cluster containing the mongod instance whose logs you want to download.

          b. Select Download Logs.



          3. In the Download Logs modal, edit the following fields



          Select process: Select the process for which you want logs. Valid options are mongod and mongod-audit-log.
          Select server: Select the server in the cluster whose logs you want to retrieve.
          Start Time: Specify the date and time in your group’s time zone defining the inclusive lower bound of log activity to return. The start time must be less than 30 days ago.
          End Time: Specify the date and time in your group’s time zone defining the inclusive upper bound of log activity to return.



          4. Click Download Logs




          An inefficient query is explained here




          The following mongod log entry shows statistics generated from an inefficient query:



          planSummary: COLLSCAN keysExamined:0
          docsExamined: 10000 cursorExhausted:1 numYields:234
          nreturned:4 protocol:op_query 358ms<Timestamp> COMMAND <query>


          This query scanned 10,000 documents and returned only 4 for a ratio of 2500, which is highly inefficient.







          share|improve this answer
























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            active

            oldest

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            2
















            A future alert had info on how to solve the issue - which in short is to download the mongodb logs and search for the inefficient query.



            To download the logs




            1. Navigate to the Cluster page



            If you do not see the cluster you want on the page, ensure you have selected the > proper Project



            2. Select the cluster



            a. Click the ellipsis icon (...) next to the cluster containing the mongod instance whose logs you want to download.

            b. Select Download Logs.



            3. In the Download Logs modal, edit the following fields



            Select process: Select the process for which you want logs. Valid options are mongod and mongod-audit-log.
            Select server: Select the server in the cluster whose logs you want to retrieve.
            Start Time: Specify the date and time in your group’s time zone defining the inclusive lower bound of log activity to return. The start time must be less than 30 days ago.
            End Time: Specify the date and time in your group’s time zone defining the inclusive upper bound of log activity to return.



            4. Click Download Logs




            An inefficient query is explained here




            The following mongod log entry shows statistics generated from an inefficient query:



            planSummary: COLLSCAN keysExamined:0
            docsExamined: 10000 cursorExhausted:1 numYields:234
            nreturned:4 protocol:op_query 358ms<Timestamp> COMMAND <query>


            This query scanned 10,000 documents and returned only 4 for a ratio of 2500, which is highly inefficient.







            share|improve this answer





























              2
















              A future alert had info on how to solve the issue - which in short is to download the mongodb logs and search for the inefficient query.



              To download the logs




              1. Navigate to the Cluster page



              If you do not see the cluster you want on the page, ensure you have selected the > proper Project



              2. Select the cluster



              a. Click the ellipsis icon (...) next to the cluster containing the mongod instance whose logs you want to download.

              b. Select Download Logs.



              3. In the Download Logs modal, edit the following fields



              Select process: Select the process for which you want logs. Valid options are mongod and mongod-audit-log.
              Select server: Select the server in the cluster whose logs you want to retrieve.
              Start Time: Specify the date and time in your group’s time zone defining the inclusive lower bound of log activity to return. The start time must be less than 30 days ago.
              End Time: Specify the date and time in your group’s time zone defining the inclusive upper bound of log activity to return.



              4. Click Download Logs




              An inefficient query is explained here




              The following mongod log entry shows statistics generated from an inefficient query:



              planSummary: COLLSCAN keysExamined:0
              docsExamined: 10000 cursorExhausted:1 numYields:234
              nreturned:4 protocol:op_query 358ms<Timestamp> COMMAND <query>


              This query scanned 10,000 documents and returned only 4 for a ratio of 2500, which is highly inefficient.







              share|improve this answer



























                2














                2










                2









                A future alert had info on how to solve the issue - which in short is to download the mongodb logs and search for the inefficient query.



                To download the logs




                1. Navigate to the Cluster page



                If you do not see the cluster you want on the page, ensure you have selected the > proper Project



                2. Select the cluster



                a. Click the ellipsis icon (...) next to the cluster containing the mongod instance whose logs you want to download.

                b. Select Download Logs.



                3. In the Download Logs modal, edit the following fields



                Select process: Select the process for which you want logs. Valid options are mongod and mongod-audit-log.
                Select server: Select the server in the cluster whose logs you want to retrieve.
                Start Time: Specify the date and time in your group’s time zone defining the inclusive lower bound of log activity to return. The start time must be less than 30 days ago.
                End Time: Specify the date and time in your group’s time zone defining the inclusive upper bound of log activity to return.



                4. Click Download Logs




                An inefficient query is explained here




                The following mongod log entry shows statistics generated from an inefficient query:



                planSummary: COLLSCAN keysExamined:0
                docsExamined: 10000 cursorExhausted:1 numYields:234
                nreturned:4 protocol:op_query 358ms<Timestamp> COMMAND <query>


                This query scanned 10,000 documents and returned only 4 for a ratio of 2500, which is highly inefficient.







                share|improve this answer













                A future alert had info on how to solve the issue - which in short is to download the mongodb logs and search for the inefficient query.



                To download the logs




                1. Navigate to the Cluster page



                If you do not see the cluster you want on the page, ensure you have selected the > proper Project



                2. Select the cluster



                a. Click the ellipsis icon (...) next to the cluster containing the mongod instance whose logs you want to download.

                b. Select Download Logs.



                3. In the Download Logs modal, edit the following fields



                Select process: Select the process for which you want logs. Valid options are mongod and mongod-audit-log.
                Select server: Select the server in the cluster whose logs you want to retrieve.
                Start Time: Specify the date and time in your group’s time zone defining the inclusive lower bound of log activity to return. The start time must be less than 30 days ago.
                End Time: Specify the date and time in your group’s time zone defining the inclusive upper bound of log activity to return.



                4. Click Download Logs




                An inefficient query is explained here




                The following mongod log entry shows statistics generated from an inefficient query:



                planSummary: COLLSCAN keysExamined:0
                docsExamined: 10000 cursorExhausted:1 numYields:234
                nreturned:4 protocol:op_query 358ms<Timestamp> COMMAND <query>


                This query scanned 10,000 documents and returned only 4 for a ratio of 2500, which is highly inefficient.








                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered May 1 at 22:18









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