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Posted to notifications@iotdb.apache.org by "Yukun Zhou (Jira)" <ji...@apache.org> on 2022/11/18 09:26:00 UTC

[jira] [Assigned] (IOTDB-4863) There is not enough memory to execute current fragment instance

     [ https://issues.apache.org/jira/browse/IOTDB-4863?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Yukun Zhou reassigned IOTDB-4863:
---------------------------------

    Assignee: Yuan Tian  (was: Yukun Zhou)

> There is not enough memory to execute current fragment instance
> ---------------------------------------------------------------
>
>                 Key: IOTDB-4863
>                 URL: https://issues.apache.org/jira/browse/IOTDB-4863
>             Project: Apache IoTDB
>          Issue Type: Bug
>          Components: mpp-cluster
>    Affects Versions: 0.14.0-SNAPSHOT
>            Reporter: 刘珍
>            Assignee: Yuan Tian
>            Priority: Minor
>         Attachments: more_dev.conf
>
>
> m_1103_f857667
> schema_region_consensus_protocol_class=org.apache.iotdb.consensus.ratis.RatisConsensus data_region_consensus_protocol_class=org.apache.iotdb.consensus.multileader.MultiLeaderConsensus
> 1. 启动 3rep , 3C3D 集群
> 2. benchmark 创建元数据,写入数据
> 10sg ,10 schema region
> 5万设备,600 sensors/dev, 共3000万序列。
> 3.执行查询
> select count(s_0) ,count(s_1),count(s_2),count(s_3) ,count(s_4) ,count(s_5),count(s_6),count(s_7),count(s_99) from root.** align by device 
> ERROR :
> 2022-11-04 17:46:49,811 [pool-21-IoTDB-MPPCoordinator-20$20221104_094532_73991_3.4.0] ERROR o.a.i.d.m.p.s.FragmentInstanceDispatcherImpl:160 -{color:#FF8B00}* There is not enough memory to execute current fragment instance, current remaining free memory is 4667544778, estimated memory usage for current fragment instance is 5899575360*{color}
> 测试环境
> 1. 192.168.10.72 ~ 74  48CPU 384GB
> ConfigNode :
> MAX_HEAP_SIZE="8G"
> Common :
> max_connection_for_internal_service=300
> schema_region_consensus_protocol_class=org.apache.iotdb.consensus.ratis.RatisConsensus
> data_region_consensus_protocol_class=org.apache.iotdb.consensus.multileader.MultiLeaderConsensus
> schema_replication_factor=3
> data_replication_factor=3
> DataNode :
> MAX_HEAP_SIZE="256G"
> MAX_DIRECT_MEMORY_SIZE="32G"
> 2. benchmark配置见附件 
> 3. 写入数据完成执行查询
> select count(s_0) ,count(s_1),count(s_2),count(s_3) ,count(s_4) ,count(s_5),count(s_6),count(s_7),count(s_99) from root.** align by device 
> 报错 



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