26)AS`alive_id`,date_format(`time`,'%Y-%m-%d')AS`day`,date_format(`time`,'%Y-%m-%d %H')AS`hour`,date_format(`time`,'%Y-%m-%d %H:%i')AS`min`,`default_cluster:doris_audit_db__`.`doris_audit_
POSIX message queues (bytes, -q) 819200real-time priority (-r) 0stack size (kbytes, -s) 8192cpu time (seconds, -t) unlimitedmax user processes (-u) 655350virtual memory (kbytes, -v) unlimitedfile locks (-x) unlimited第一行可以看到此服务器的core file size为不限制(若为0则不生成),可...
ScanBytes | BIGINT | No | false | NULL | NONE | | BePeakMemoryBytes | BIGINT | No | false | NULL | NONE | | CurrentUsedMemoryBytes | BIGINT | No | false | NULL | NONE | | ShuffleSendBytes | BIGINT | No | false | NULL | NONE | | ShuffleSendRows | BIGINT | No | ...
limit 100.00 MB, peak used 99.29 MB, current used 99.25 MB:本次尝试申请 1.03MB 的内存,但此时 queryf78208b15e064527-a84c5c0b04c04fcfmemory tracker 的当前 consumption 为 99.28MB 加上 1.03MB 后超过了 100MB 的 limit,limit 的值来自 session variables 中的exec_mem_limit,默认 4G。
(Active: 4.360ms, non-child: 46.84) ││ - Counters: ││ - BytesReceived: 0.00 ││ - ConvertRowBatchTime: 387ns ││ - DataArrivalWaitTime: 4.357ms ││ - DeserializeRowBatchTimer: 0ns ││ - FirstBatchArrivalWaitTime: 4.356ms││ - PeakMemoryUsage: 0.00 ││ - RowsReturned: 0 ...
<yyyy-MM-dd HH:mm:ss,SSS [操作类型]>|<Client>|<User Name>|<Db Name>|<State>|<ErrorCode>|<ErrorMessage>|<Time>|<ScanBytes>|<ScanRows>|<ReturnRows>|<StmtId>|<QueryId>|<IsQuery>|<feIp>| <Stmt>|<CpuTimeMS>|<SqlHash>|<peakMemoryBytes>|<SqlDigest>|<TraceId>|<FuzzyVariables> ...
(Active:23.934us,non-child:0.12)││-Counters:││-BatchQueueWaitTime:225ns││-BytesRead:0.00││-NumDiskAccess:0││-NumScanners:0││-PeakMemoryUsage:0.00││-RowsRead:0││-RowsReturned:0││-RowsReturnedRate:0││-ScannerBatchWaitTime:0ns││-ScannerWorkerWaitTime:0ns││-TabletCount:...
ScanBytes | BIGINT | No | false | NULL | NONE | | BePeakMemoryBytes | BIGINT | No | false | NULL | NONE | | CurrentUsedMemoryBytes | BIGINT | No | false | NULL | NONE | | ShuffleSendBytes | BIGINT | No | false | NULL | NONE | | ShuffleSendRows | BIGINT | No | ...
在过去如果需要采取 Python 读取 Apache Doris 中的数据,需要将 Apache Doris 中列存的 Block 序列化为 MySQL 协议的行存 Bytes,然后在 Python 客户端再反序列化到 Pandas 中,传输过程带来的性能损耗非常大。 在Apache Doris 2.1 版本中,我们提供了基于 Arrow Flight 的 HTTP Data API 高吞吐数据读写接口。相比...
(Active: 23.934us, non-child: 0.12) ││ - Counters: ││ - BatchQueueWaitTime: 225ns ││ - BytesRead: 0.00 ││ - NumDiskAccess: 0 ││ - NumScanners: 0 ││ - PeakMemoryUsage: 0.00 ││ - RowsRead: 0 ││ - RowsReturned: 0 ││ - RowsReturnedRate: 0 ││ - Scanner...