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hadoop - Hive CLI和Beeline jdbc:hive2在执行引擎tez中对插入百万条记录的行为有所不同吗?

转载 作者:行者123 更新时间:2023-12-02 20:34:27 25 4
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从具有数百万条记录(20GB大小)的大表执行到空表的插入时。 Hive CLI和beeline中的执行方式不同。

Hive CLI:它在Yarn中创建了两个TEZ作业,可能是mapper和reducer,并在大约413秒内完成。

Beeline:它在Yarn中创建了第一个TEZ作业,其他是MapReduce作业,超过150个作业,耗时近2个小时。

Hiveserver2 beeline对于TEZ作业的预期行为是因为它在内部创建MapReduce作业?

环境详细信息:

  • Hive版本:2.1.1
  • Tez版本:0.8.5

  • hive 常规设置:
  • hive.execution.engine = tez
  • hive.mv.files.thread = 0

  • 直线设定:
  • tez.am.resource.memory.mb = 20000
  • mapreduce.map.memory.mb = 20000
  • hive.vectorized.execution.reduce.enabled = false;

  • 提前致谢。
        **Hive CLI log:**

    `2018-08-07T18:22:56,482 INFO [main] exec.Task: Dag name: insert into default.t...db.temp_large_table3(Stage-1)
    2018-08-07T18:22:56,493 INFO [main] ql.Context: New scratch dir is hdfs://edhcluster/tmp/hive/scratch/hive/a501276d-2015-435b-85c5-4d40534ac162/hive_2018-08-07_18-22-53_167_2618699013418541798-1
    2018-08-07T18:22:56,532 INFO [main] tez.DagUtils: Vertex has custom input? false
    2018-08-07T18:22:56,589 INFO [main] exec.SerializationUtilities: Serializing MapWork using kryo
    2018-08-07T18:22:56,601 INFO [main] exec.Utilities: Setting plan: /tmp/hive/scratch/hive/a501276d-2015-435b-85c5-4d40534ac162/hive_2018-08-07_18-22-53_167_2618699013418541798-1/hive/_tez_scratch_dir/d5cc1718-38b1-49ba-a97e-ab9f78415b62/map.xml
    2018-08-07T18:22:56,669 INFO [main] fs.FSStatsPublisher: created : hdfs://edhcluster/user/hive/staging_hive_2018-08-07_18-22-53_167_2618699013418541798-1/-ext-10001
    2018-08-07T18:22:56,686 INFO [main] client.TezClient: Submitting dag to TezSession, sessionName=HIVE-a501276d-2015-435b-85c5-4d40534ac162, applicationId=application_1533623337748_0376, dagName=insert into default.t...db.temp_large_table3(Stage-1), callerContext={ context=HIVE, callerType=HIVE_QUERY_ID, callerId=hive_20180807182253_52487095-48c1-4847-92cd-6e60121e8ae2 }
    2018-08-07T18:22:57,206 INFO [main] client.TezClient: Submitted dag to TezSession, sessionName=HIVE-a501276d-2015-435b-85c5-4d40534ac162, applicationId=application_1533623337748_0376, dagId=dag_1533623337748_0376_1, dagName=insert into default.t...db.temp_large_table3(Stage-1)
    2018-08-07T18:22:57,277 INFO [main] SessionState:

    2018-08-07T18:22:57,719 INFO [main] SessionState: Status: Running (Executing on YARN cluster with App id application_1533623337748_0376)

    2018-08-07T18:22:57,721 INFO [main] SessionState: Map 1: 0/165
    2018-08-07T18:23:00,542 INFO [main] SessionState: Map 1: 0(+1)/165
    2018-08-07T18:23:01,551 INFO [main] SessionState: Map 1: 0(+2)/165
    :
    :
    2018-08-07T18:30:01,688 INFO [main] SessionState: Map 1: 165/165
    2018-08-07T18:30:01,713 INFO [main] counters.Limits: Counter limits initialized with parameters: GROUP_NAME_MAX=256, MAX_GROUPS=500, COUNTER_NAME_MAX=64, MAX_COUNTERS=1200
    2018-08-07T18:30:01,726 INFO [main] exec.FileSinkOperator: Moving tmp dir: hdfs://edhcluster/user/hive/staging_hive_2018-08-07_18-22-53_167_2618699013418541798-1/_tmp.-ext-10000 to: hdfs://edhcluster/user/hive/staging_hive_2018-08-07_18-22-53_167_2618699013418541798-1/-ext-10000
    2018-08-07T18:30:01,796 INFO [main] ql.Driver: Starting task [Stage-2:DEPENDENCY_COLLECTION] in serial mode
    2018-08-07T18:30:01,796 INFO [main] ql.Driver: Starting task [Stage-0:MOVE] in serial mode
    2018-08-07T18:30:01,797 INFO [main] exec.Task: Loading data to table default.temp_tro1 from hdfs://edhcluster/user/hive/staging_hive_2018-08-07_18-22-53_167_2618699013418541798-1/-ext-10000
    2018-08-07T18:30:11,683 WARN [main] serde2.AbstractEncodingAwareSerDe: The data may not be properly converted to target charset ISO-8859-1
    2018-08-07T18:30:11,759 INFO [main] ql.Driver: Starting task [Stage-3:STATS] in serial mode
    2018-08-07T18:30:11,759 INFO [main] exec.StatsTask: Executing stats task
    2018-08-07T18:30:11,891 INFO [main] fs.FSStatsPublisher: created : hdfs://edhcluster/user/hive/staging_hive_2018-08-07_18-22-53_167_2618699013418541798-1/-ext-10001
    2018-08-07T18:30:11,985 INFO [main] fs.FSStatsAggregator: Read stats : {default.temp_tro1/={rawDataSize=133428373, numRows=789517}}
    2018-08-07T18:30:12,003 INFO [main] fs.FSStatsAggregator: Read stats : {default.temp_tro1/={rawDataSize=133428204, numRows=789516}}
    `
    ====

    **Beeline log:**

    `2018-08-07T16:29:13,856 INFO [HiveServer2-Background-Pool: Thread-1549] ql.Context: New scratch dir is hdfs://edhcluster/tmp/hive/scratch/hive/0887b266-675a
    -4fb2-8c85-3a27ebb3b9fc/hive_2018-08-07_16-29-12_750_8973639287951385407-3
    2018-08-07T16:29:13,900 INFO [HiveServer2-Background-Pool: Thread-1549] tez.DagUtils: Vertex has custom input? false
    2018-08-07T16:29:13,901 INFO [HiveServer2-Background-Pool: Thread-1549] exec.SerializationUtilities: Serializing MapWork using kryo
    2018-08-07T16:29:13,903 INFO [HiveServer2-Background-Pool: Thread-1549] exec.Utilities: Setting plan: /tmp/hive/scratch/hive/0887b266-675a-4fb2-8c85-3a27ebb
    3b9fc/hive_2018-08-07_16-29-12_750_8973639287951385407-3/hive/_tez_scratch_dir/6f4620d8-310c-4aff-bbe8-6f69ea9d1341/map.xml
    2018-08-07T16:29:13,934 INFO [HiveServer2-Background-Pool: Thread-1549] fs.FSStatsPublisher: created : hdfs://edhcluster/tmp/hive/staging_hive_2018-08-07_16
    -29-12_750_8973639287951385407-1/-ext-10001
    2018-08-07T16:29:13,938 INFO [HiveServer2-Background-Pool: Thread-1549] client.TezClient: Submitting dag to TezSession, sessionName=HIVE-e2dfe4df-37f0-4d95-
    946d-30557075f807, applicationId=application_1533623337748_0148, dagName=insert into default.t...db.temp_large_table3(Stage-1), callerContext={ context=HIVE,
    callerType=HIVE_QUERY_ID, callerId=hive_20180807162912_519c1503-c151-4da7-b5a2-bd067e9c42b9 }
    2018-08-07T16:29:14,127 INFO [HiveServer2-Background-Pool: Thread-1549] client.TezClient: Submitted dag to TezSession, sessionName=HIVE-e2dfe4df-37f0-4d95-9
    46d-30557075f807, applicationId=application_1533623337748_0148, dagId=dag_1533623337748_0148_2, dagName=insert into default.t...db.temp_large_table3(Stage-1)
    2018-08-07T16:29:14,185 INFO [HiveServer2-Background-Pool: Thread-1549] SessionState:

    2018-08-07T16:29:14,390 INFO [HiveServer2-Background-Pool: Thread-1549] SessionState: Status: Running (Executing on YARN cluster with App id application_153
    3623337748_0148)

    2018-08-07T16:29:14,390 INFO [HiveServer2-Background-Pool: Thread-1549] SessionState: Map 1: 0/171
    2018-08-07T16:29:16,600 INFO [HiveServer2-Background-Pool: Thread-1549] SessionState: Map 1: 0(+3)/171
    :
    :
    2018-08-07T16:35:57,955 INFO [HiveServer2-Background-Pool: Thread-1549] SessionState: Map 1: 171/171
    2018-08-07T16:35:57,963 INFO [HiveServer2-Background-Pool: Thread-1549] exec.FileSinkOperator: Moving tmp dir: hdfs://edhcluster/tmp/hive/staging_hive_2018-
    08-07_16-29-12_750_8973639287951385407-1/_tmp.-ext-10000 to: hdfs://edhcluster/tmp/hive/staging_hive_2018-08-07_16-29-12_750_8973639287951385407-1/-ext-10000
    2018-08-07T16:35:57,996 INFO [HiveServer2-Background-Pool: Thread-1549] ql.Driver: Starting task [Stage-2:DEPENDENCY_COLLECTION] in serial mode
    2018-08-07T16:35:57,996 INFO [HiveServer2-Background-Pool: Thread-1549] ql.Driver: Starting task [Stage-0:MOVE] in serial mode
    2018-08-07T16:35:57,996 INFO [HiveServer2-Background-Pool: Thread-1549] exec.Task: Loading data to table default.temp_tro from hdfs://edhcluster/tmp/hive/st
    aging_hive_2018-08-07_16-29-12_750_8973639287951385407-1/-ext-10000
    2018-08-07T16:35:58,158 INFO [HiveServer2-Background-Pool: Thread-1549] metadata.Hive: Copying source hdfs://edhcluster/tmp/hive/staging_hive_2018-08-07_16-
    29-12_750_8973639287951385407-1/-ext-10000/000000_0 to hdfs://edhcluster/user/hive/warehouse/temp_tro/000000_0 because HDFS encryption zones are different.
    2018-08-07T16:35:58,158 INFO [HiveServer2-Background-Pool: Thread-1549] common.FileUtils: Source is 129368810 bytes. (MAX: 33554432)
    2018-08-07T16:35:58,158 INFO [HiveServer2-Background-Pool: Thread-1549] common.FileUtils: Launch distributed copy (distcp) job.
    2018-08-07T16:35:58,239 INFO [HiveServer2-Background-Pool: Thread-1549] tools.DistCp: Input Options: DistCpOptions{atomicCommit=false, syncFolder=true, dele
    teMissing=false, ignoreFailures=false, maxMaps=20, sslConfigurationFile='null', copyStrategy='uniformsize', sourceFileListing=null, sourcePaths=[hdfs://edhcl
    uster/tmp/hive/staging_hive_2018-08-07_16-29-12_750_8973639287951385407-1/-ext-10000/000000_0], targetPath=hdfs://edhcluster/user/hive/warehouse/temp_tro/000
    000_0, targetPathExists=false, preserveRawXattrs=false}
    2018-08-07T16:35:58,288 INFO [HiveServer2-Background-Pool: Thread-1549] hdfs.DFSClient: Created HDFS_DELEGATION_TOKEN token 10139 for hive on ha-hdfs:edhclu
    ster
    2018-08-07T16:35:58,295 INFO [HiveServer2-Background-Pool: Thread-1549] security.TokenCache: Got dt for hdfs://edhcluster; Kind: HDFS_DELEGATION_TOKEN, Serv
    ice: ha-hdfs:edhcluster, Ident: (HDFS_DELEGATION_TOKEN token 10139 for hive)
    2018-08-07T16:35:58,295 WARN [HiveServer2-Background-Pool: Thread-1549] token.Token: Cannot find class for token kind kms-dt
    2018-08-07T16:35:58,295 INFO [HiveServer2-Background-Pool: Thread-1549] security.TokenCache: Got dt for hdfs://edhcluster; Kind: kms-dt, Service: 160.88.112
    .163:9393, Ident: 00 04 68 69 76 65 04 79 61 72 6e 04 68 69 76 65 8a 01 65 13 87 4a d6 8a 01 65 37 93 ce d6 8e 1d f6 24
    2018-08-07T16:35:58,738 WARN [HiveServer2-Background-Pool: Thread-1549] token.Token: Cannot find class for token kind kms-dt
    2018-08-07T16:35:58,738 INFO [HiveServer2-Background-Pool: Thread-1549] security.TokenCache: Got dt for hdfs://edhcluster; Kind: kms-dt, Service: 160.88.112
    .162:9393, Ident: 00 04 68 69 76 65 04 79 61 72 6e 04 68 69 76 65 8a 01 65 13 87 4c 91 8a 01 65 37 93 d0 91 8e 1d 49 23
    2018-08-07T16:35:58,745 WARN [HiveServer2-Background-Pool: Thread-1549] mapreduce.JobResourceUploader: Hadoop command-line option parsing not performed. Imp
    lement the Tool interface and execute your application with ToolRunner to remedy this.
    2018-08-07T16:35:59,000 INFO [HiveServer2-Handler-Pool: Thread-53] session.SessionState: Updating thread name to 0887b266-675a-4fb2-8c85-3a27ebb3b9fc HiveSe
    rver2-Handler-Pool: Thread-53
    2018-08-07T16:35:59,000 INFO [HiveServer2-Handler-Pool: Thread-53] session.SessionState: Resetting thread name to HiveServer2-Handler-Pool: Thread-53
    2018-08-07T16:35:59,130 INFO [HiveServer2-Background-Pool: Thread-1549] mapreduce.JobSubmitter: number of splits:1
    2018-08-07T16:35:59,313 INFO [HiveServer2-Background-Pool: Thread-1549] mapreduce.JobSubmitter: Submitting tokens for job: job_1533623337748_0215
    2018-08-07T16:35:59,313 WARN [HiveServer2-Background-Pool: Thread-1549] token.Token: Cannot find class for token kind kms-dt
    2018-08-07T16:35:59,313 INFO [HiveServer2-Background-Pool: Thread-1549] mapreduce.JobSubmitter: Kind: kms-dt, Service: 160.88.112.162:9393, Ident: 00 04 68
    69 76 65 04 79 61 72 6e 04 68 69 76 65 8a 01 65 13 87 4c 91 8a 01 65 37 93 d0 91 8e 1d 49 23
    2018-08-07T16:35:59,313 WARN [HiveServer2-Background-Pool: Thread-1549] token.Token: Cannot find class for token kind kms-dt
    2018-08-07T16:35:59,313 INFO [HiveServer2-Background-Pool: Thread-1549] mapreduce.JobSubmitter: Kind: kms-dt, Service: 160.88.112.163:9393, Ident: 00 04 68
    69 76 65 04 79 61 72 6e 04 68 69 76 65 8a 01 65 13 87 4a d6 8a 01 65 37 93 ce d6 8e 1d f6 24
    2018-08-07T16:35:59,313 WARN [HiveServer2-Background-Pool: Thread-1549] token.Token: Cannot find class for token kind HIVE_DELEGATION_TOKEN
    2018-08-07T16:35:59,313 INFO [HiveServer2-Background-Pool: Thread-1549] mapreduce.JobSubmitter: Kind: HIVE_DELEGATION_TOKEN, Service: HiveServer2Impersonati
    onToken, Ident: 00 04 68 69 76 65 04 68 69 76 65 00 8a 01 65 13 76 fe e0 8a 01 65 37 83 82 e0 01 8e 02 73
    2018-08-07T16:35:59,313 INFO [HiveServer2-Background-Pool: Thread-1549] mapreduce.JobSubmitter: Kind: HDFS_DELEGATION_TOKEN, Service: ha-hdfs:edhcluster, Id
    ent: (HDFS_DELEGATION_TOKEN token 10139 for hive)
    2018-08-07T16:35:59,520 INFO [HiveServer2-Background-Pool: Thread-1549] impl.YarnClientImpl: Submitted application application_1533623337748_0215
    2018-08-07T16:35:59,521 INFO [HiveServer2-Background-Pool: Thread-1549] mapreduce.Job: The url to track the job: https://bdtst1a.server:8888
    /proxy/application_1533623337748_0215/
    2018-08-07T16:35:59,521 INFO [HiveServer2-Background-Pool: Thread-1549] tools.DistCp: DistCp job-id: job_1533623337748_0215
    2018-08-07T16:35:59,521 INFO [HiveServer2-Background-Pool: Thread-1549] mapreduce.Job: Running job: job_1533623337748_0215
    2018-08-07T16:36:04,002 INFO [HiveServer2-Handler-Pool: Thread-53] session.SessionState: Updating thread name to 0887b266-675a-4fb2-8c85-3a27ebb3b9fc HiveSe
    rver2-Handler-Pool: Thread-53
    2018-08-07T16:36:04,002 INFO [HiveServer2-Handler-Pool: Thread-53] session.SessionState: Resetting thread name to HiveServer2-Handler-Pool: Thread-53
    2018-08-07T16:36:06,571 INFO [HiveServer2-Background-Pool: Thread-1549] mapreduce.Job: Job job_1533623337748_0215 running in uber mode : false
    2018-08-07T16:36:06,571 INFO [HiveServer2-Background-Pool: Thread-1549] mapreduce.Job: map 0% reduce 0%
    2018-08-07T16:36:09,004 INFO [HiveServer2-Handler-Pool: Thread-53] session.SessionState: Updating thread name to 0887b266-675a-4fb2-8c85-3a27ebb3b9fc HiveSe
    rver2-Handler-Pool: Thread-53
    2018-08-07T16:36:09,004 INFO [HiveServer2-Handler-Pool: Thread-53] session.SessionState: Resetting thread name to HiveServer2-Handler-Pool: Thread-53
    2018-08-07T16:36:14,006 INFO [HiveServer2-Handler-Pool: Thread-53] session.SessionState: Updating thread name to 0887b266-675a-4fb2-8c85-3a27ebb3b9fc HiveSe
    rver2-Handler-Pool: Thread-53
    2018-08-07T16:36:14,006 INFO [HiveServer2-Handler-Pool: Thread-53] session.SessionState: Resetting thread name to HiveServer2-Handler-Pool: Thread-53
    2018-08-07T16:36:18,603 INFO [HiveServer2-Background-Pool: Thread-1549] mapreduce.Job: map 100% reduce 0%
    2018-08-07T16:36:19,007 INFO [HiveServer2-Handler-Pool: Thread-53] session.SessionState: Updating thread name to 0887b266-675a-4fb2-8c85-3a27ebb3b9fc HiveSe
    rver2-Handler-Pool: Thread-53
    2018-08-07T16:36:19,007 INFO [HiveServer2-Handler-Pool: Thread-53] session.SessionState: Resetting thread name to HiveServer2-Handler-Pool: Thread-53
    2018-08-07T16:36:24,009 INFO [HiveServer2-Handler-Pool: Thread-53] session.SessionState: Updating thread name to 0887b266-675a-4fb2-8c85-3a27ebb3b9fc HiveSe
    rver2-Handler-Pool: Thread-53
    2018-08-07T16:36:24,009 INFO [HiveServer2-Handler-Pool: Thread-53] session.SessionState: Resetting thread name to HiveServer2-Handler-Pool: Thread-53
    2018-08-07T16:36:29,010 INFO [HiveServer2-Handler-Pool: Thread-53] session.SessionState: Updating thread name to 0887b266-675a-4fb2-8c85-3a27ebb3b9fc HiveSe
    rver2-Handler-Pool: Thread-53
    2018-08-07T16:36:29,010 INFO [HiveServer2-Handler-Pool: Thread-53] session.SessionState: Resetting thread name to HiveServer2-Handler-Pool: Thread-53
    2018-08-07T16:36:34,012 INFO [HiveServer2-Handler-Pool: Thread-53] session.SessionState: Updating thread name to 0887b266-675a-4fb2-8c85-3a27ebb3b9fc HiveSe
    rver2-Handler-Pool: Thread-53
    2018-08-07T16:36:34,012 INFO [HiveServer2-Handler-Pool: Thread-53] session.SessionState: Resetting thread name to HiveServer2-Handler-Pool: Thread-53
    2018-08-07T16:36:37,641 INFO [HiveServer2-Background-Pool: Thread-1549] mapreduce.Job: Job job_1533623337748_0215 completed successfully
    2018-08-07T16:36:37,664 INFO [HiveServer2-Background-Pool: Thread-1549] mapreduce.Job: Counters: 33
    File System Counters
    FILE: Number of bytes read=0
    FILE: Number of bytes written=297867
    FILE: Number of read operations=0
    FILE: Number of large read operations=0
    FILE: Number of write operations=0
    HDFS: Number of bytes read=129369232
    HDFS: Number of bytes written=129368810
    HDFS: Number of read operations=16
    HDFS: Number of large read operations=0
    HDFS: Number of write operations=4
    Job Counters
    Launched map tasks=1
    Other local map tasks=1
    Total time spent by all maps in occupied slots (ms)=85701
    Total time spent by all reduces in occupied slots (ms)=0
    Total time spent by all map tasks (ms)=28567
    Total vcore-milliseconds taken by all map tasks=28567
    Total megabyte-milliseconds taken by all map tasks=571340000
    Map-Reduce Framework
    Map input records=1
    Map output records=0
    Input split bytes=134
    Spilled Records=0
    Failed Shuffles=0
    Merged Map outputs=0
    GC time elapsed (ms)=84
    CPU time spent (ms)=31920
    Physical memory (bytes) snapshot=542441472
    Virtual memory (bytes) snapshot=19353210880
    Total committed heap usage (bytes)=826277888
    File Input Format Counters
    Bytes Read=288
    File Output Format Counters
    Bytes Written=0
    org.apache.hadoop.tools.mapred.CopyMapper$Counter
    BYTESCOPIED=129368810
    BYTESEXPECTED=129368810
    COPY=1
    2018-08-07T16:36:37,706 INFO [HiveServer2-Background-Pool: Thread-1549] metadata.Hive: Copying source hdfs://edhcluster/tmp/hive/staging_hive_2018-08-07_16-
    29-12_750_8973639287951385407-1/-ext-10000/000001_0 to hdfs://edhcluster/user/hive/warehouse/temp_tro/000001_0 because HDFS encryption zones are different.
    2018-08-07T16:36:37,706 INFO [HiveServer2-Background-Pool: Thread-1549] common.FileUtils: Source is 129368980 bytes. (MAX: 33554432)
    2018-08-07T16:36:37,706 INFO [HiveServer2-Background-Pool: Thread-1549] common.FileUtils: Launch distributed copy (distcp) job.
    2018-08-07T16:36:37,783 INFO [HiveServer2-Background-Pool: Thread-1549] tools.DistCp: Input Options: DistCpOptions{atomicCommit=false, syncFolder=true, dele
    teMissing=false, ignoreFailures=false, maxMaps=20, sslConfigurationFile='null', copyStrategy='uniformsize', sourceFileListing=null, sourcePaths=[hdfs://edhcl
    uster/tmp/hive/staging_hive_2018-08-07_16-29-12_750_8973639287951385407-1/-ext-10000/000001_0], targetPath=hdfs://edhcluster/user/hive/warehouse/temp_tro/000
    001_0, targetPathExists=false, preserveRawXattrs=false}
    `
    :
    :

    最佳答案

    更新:

    发现.hiverc用于HIVE CLI的配置单元用户,因此发现了差异。

    hive.exec.scratchdir=/user/hive/scratch

    hive.exec.stagingdir=/user/hive/staging

    问题是hdfs / user / hive目录已使用Ranger加密,而hdfs / tmp / hive目录未加密,并且可以由hadoop组中的所有用户读取/写入。

    我与beeline进行了 session 级别更改测试。像HIVE CLI一样执行速度很快。
     hive.exec.scratchdir=/user/hive/scratch

    hive.exec.stagingdir=/user/hive/staging

    我使用带有 session 级别更改的HIVE CLI进行了测试。使用MAP reduce Job移动数据的执行速度很慢。
     hive.exec.scratchdir=/tmp/hive/scratch

    hive.exec.stagingdir=/tmp/hive/staging

    因此,根本原因是数据在/ user / hive中进行了加密,而在/ tmp / hive中未进行加密。

    解决方案是使 session 级别更改为使用相同的加密区域。

    因此,如果加密区域不同,则会在INFO日志下面打印。
      metadata.Hive: Copying source hdfs://edhcluster/tmp/hive/staging_hive_2018-08-07_16- 29-12_750_8973639287951385407-1/-ext-10000/000001_0 to hdfs://edhcluster/user/hive/warehouse/temp_tro/000001_0 because HDFS encryption zones are different.

    谢谢,

    曼吉尔

    关于hadoop - Hive CLI和Beeline jdbc:hive2在执行引擎tez中对插入百万条记录的行为有所不同吗?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/51738519/

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