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Posted to commits@druid.apache.org by "Keshava11 (via GitHub)" <gi...@apache.org> on 2024/02/22 10:51:16 UTC

[I] OOM error with data upload from MySQL table into Apache Druid using JSON task (druid)

Keshava11 opened a new issue, #15940:
URL: https://github.com/apache/druid/issues/15940

   OOM error with data upload from MySQL table into Apache Druid using JSON task.
   
   ### Affected Version
   
   28.0.1
   
   ### Description
   
   A digital ocean droplet was spinned off to run Apache Druid(v28.0.1) with **8 GB of RAM**. 
   Installed MySQL database and created a table with 11 columns (datatype-varchar and most of the fields are nullable). 
   Have imported 4.8 million records in it the same table.
   
   I wanted to import data **(all 4.8 million rows)** into the Druid by submitting a JSON task but that returns out of memory error.
   
   However it works when I try use the same JSON task to upload **only 30 thousand rows** (which brings an alternative for me to submit JSON task 160 times to upload all the 48 lac records but there should be a better way).
   
   My assumption is that these issues occurs due to the memory parameters defined in the start-druid script present in the bin dir. 
   Or do I need to change something in the submitted JSON task itself?
   
   What exactly should I change in the configuration?
   
   Following is the JSON task that I submitted
   
   `{
     "type": "index_parallel",
     "spec": {
       "dataSchema": {
         "dataSource": "mydata_sql",
         "timestampSpec": {
           "column": "__time",
           "format": "iso",
           "missingValue": "2024-02-18T00:00:00.000Z"
         },
         "dimensionsSpec": {
           "dimensions": [],
           "dimensionExclusions": [
             "__time"
           ],
           "includeAllDimensions": false,
           "useSchemaDiscovery": false
         },
         "metricsSpec": [],
         "granularitySpec": {
           "type": "uniform",
           "segmentGranularity": "DAY",
           "queryGranularity": {
             "type": "none"
           },
           "rollup": false,
           "intervals": []
         },
         "transformSpec": {
           "filter": null,
           "transforms": []
         }
       },
       "ioConfig": {
         "type": "index_parallel",
         "inputSource": {
           "type": "sql",
           "sqls": [
             "SELECT * FROM mydatatable"
           ],
           "foldCase": false,
           "database": {
             "type": "mysql",
             "connectorConfig": {
               "createTables": true,
               "host": "localhost",
               "port": 1527,
               "connectURI": "jdbc:mysql://localhost:3306/mydb",
               "user": "mydbuser",
               "password": "mydbpass",
               "dbcp": null
             },
             "driverClassName": null
           }
         },
         "inputFormat": null,
         "appendToExisting": false,
         "dropExisting": false
       },
       "tuningConfig": {
         "type": "index_parallel",
         "maxRowsPerSegment": null,
         "appendableIndexSpec": {
           "type": "onheap",
           "preserveExistingMetrics": false
         },
         "maxRowsInMemory": 1000000,
         "maxBytesInMemory": 0,
         "skipBytesInMemoryOverheadCheck": false,
         "maxTotalRows": null,
         "numShards": null,
         "splitHintSpec": null,
         "partitionsSpec": null,
         "indexSpec": {
           "bitmap": {
             "type": "roaring"
           },
           "dimensionCompression": "lz4",
           "stringDictionaryEncoding": {
             "type": "utf8"
           },
           "metricCompression": "lz4",
           "longEncoding": "longs"
         },
         "indexSpecForIntermediatePersists": {
           "bitmap": {
             "type": "roaring"
           },
           "dimensionCompression": "lz4",
           "stringDictionaryEncoding": {
             "type": "utf8"
           },
           "metricCompression": "lz4",
           "longEncoding": "longs"
         },
         "maxPendingPersists": 0,
         "forceGuaranteedRollup": false,
         "reportParseExceptions": false,
         "pushTimeout": 0,
         "segmentWriteOutMediumFactory": null,
         "maxNumConcurrentSubTasks": 1,
         "maxRetry": 3,
         "taskStatusCheckPeriodMs": 1000,
         "chatHandlerTimeout": "PT10S",
         "chatHandlerNumRetries": 5,
         "maxNumSegmentsToMerge": 100,
         "totalNumMergeTasks": 10,
         "logParseExceptions": false,
         "maxParseExceptions": 2147483647,
         "maxSavedParseExceptions": 0,
         "maxColumnsToMerge": -1,
         "awaitSegmentAvailabilityTimeoutMillis": 0,
         "maxAllowedLockCount": -1,
         "partitionDimensions": []
       }
     },
     "context": {
       "forceTimeChunkLock": true,
       "useLineageBasedSegmentAllocation": true
     }
   }`
   
   


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Re: [I] OOM error with data upload from MySQL table into Apache Druid using JSON task (druid)

Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] closed issue #15940: OOM error with data upload from MySQL table into Apache Druid using JSON task
URL: https://github.com/apache/druid/issues/15940


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Re: [I] OOM error with data upload from MySQL table into Apache Druid using JSON task (druid)

Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] commented on issue #15940:
URL: https://github.com/apache/druid/issues/15940#issuecomment-2564113467

   This issue has been closed due to lack of activity. If you think that
   is incorrect, or the issue requires additional review, you can revive the issue at
   any time.


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Re: [I] OOM error with data upload from MySQL table into Apache Druid using JSON task (druid)

Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] commented on issue #15940:
URL: https://github.com/apache/druid/issues/15940#issuecomment-2506878870

   This issue has been marked as stale due to 280 days of inactivity.
   It will be closed in 4 weeks if no further activity occurs. If this issue is still
   relevant, please simply write any comment. Even if closed, you can still revive the
   issue at any time or discuss it on the dev@druid.apache.org list.
   Thank you for your contributions.


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