Sqoop导入HCatalog / Hive - 表格不可见

时间：2016-08-11 08:29:59

标签： hadoop hive sqoop hortonworks-data-platform hcatalog

使用Ambari 2.2.2.0安装HDP-2.4.2.0-258

我必须导入几个SQL Server架构，这些架构应该可以通过Hive，Pig，MR和任何第三方（将来）访问。我决定用HCatalog导入。

Sqoop提供了导入Hive OR HCatalog的方法，我想如果我导入HCatalog，可以从Hive CLI，MR和Pig访问同一个表（请评估我的假设）。

问题：

  • 如果直接导入Hive，表格可供Pig，MR使用 ？
  • 如果导入到HCatalog，需要做什么才能通过Hive访问？
  • 是否需要在Hive中预先创建表格？如果是，在HCatalog中导入的优势是什么（我可以直接在Hive中导入）/（在HDFS中导入然后创建外部表）？

问题： 我希望一步到位：

  • 导入数据（来自SQL Server表）
  • 避免'预创建'或为这些表编写create语句（有100个表）
  • 以ORC格式存储表格
  • 将此数据存储在自定义HDFS路径中，例如/ org / data / schema1，/ org / data / schema2等等（这是不可能的，因为Sqoop说它（--target-dir / - warehouse-dir）

我执行了以下命令：

-bash-4.2$ sqoop import --connect 'jdbc:sqlserver://<IP>;database=FleetManagement' --username --password  --table SettingAttribute -- --schema Administration  --hcatalog-home /usr/hdp/current/hive-webhcat --hcatalog-database default --hcatalog-table SettingAttribute --create-hcatalog-table --hcatalog-storage-stanza "stored as orcfile"

源表包含109条记录，并提取这些记录：

16/08/10 15:02:27 INFO sqoop.Sqoop: Running Sqoop version: 1.4.6.2.4.2.0-258
16/08/10 15:02:27 WARN tool.BaseSqoopTool: Setting your password on the command-line is insecure. Consider using -P instead.
16/08/10 15:02:28 INFO manager.SqlManager: Using default fetchSize of 1000
16/08/10 15:02:28 INFO manager.SQLServerManager: We will use schema Administration
16/08/10 15:02:28 INFO tool.CodeGenTool: Beginning code generation
16/08/10 15:02:28 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM [Administration].[SettingAttribute] AS t WHERE 1=0
16/08/10 15:02:28 INFO orm.CompilationManager: HADOOP_MAPRED_HOME is /usr/hdp/2.4.2.0-258/hadoop-mapreduce
Note: /tmp/sqoop-ojoqcu/compile/dfab14748c41a566ec286b7e4b11004d/SettingAttribute.java uses or overrides a deprecated API.
Note: Recompile with -Xlint:deprecation for details.
16/08/10 15:02:30 INFO orm.CompilationManager: Writing jar file: /tmp/sqoop-ojoqcu/compile/dfab14748c41a566ec286b7e4b11004d/SettingAttribute.jar
16/08/10 15:02:30 INFO mapreduce.ImportJobBase: Beginning import of SettingAttribute
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/usr/hdp/2.4.2.0-258/hadoop/lib/slf4j-log4j12-1.7.10.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/hdp/2.4.2.0-258/zookeeper/lib/slf4j-log4j12-1.6.1.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/hdp/2.4.2.0-258/accumulo/lib/slf4j-log4j12.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
16/08/10 15:02:31 INFO impl.TimelineClientImpl: Timeline service address: http://l4373t.sss.com:8188/ws/v1/timeline/
16/08/10 15:02:31 INFO client.RMProxy: Connecting to ResourceManager at l4283t.sss.com/138.106.9.80:8050
16/08/10 15:02:33 INFO db.DBInputFormat: Using read commited transaction isolation
16/08/10 15:02:33 INFO db.DataDrivenDBInputFormat: BoundingValsQuery: SELECT MIN([SettingAttributeId]), MAX([SettingAttributeId]) FROM [Administration].[SettingAttribute]
16/08/10 15:02:33 INFO mapreduce.JobSubmitter: number of splits:4
16/08/10 15:02:33 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1467787344827_0013
16/08/10 15:02:34 INFO impl.YarnClientImpl: Submitted application application_1467787344827_0013
16/08/10 15:02:34 INFO mapreduce.Job: The url to track the job: http://l4283t.sss.com:8088/proxy/application_1467787344827_0013/
16/08/10 15:02:34 INFO mapreduce.Job: Running job: job_1467787344827_0013
16/08/10 15:02:41 INFO mapreduce.Job: Job job_1467787344827_0013 running in uber mode : false
16/08/10 15:02:41 INFO mapreduce.Job:  map 0% reduce 0%
16/08/10 15:02:47 INFO mapreduce.Job:  map 100% reduce 0%
16/08/10 15:02:48 INFO mapreduce.Job: Job job_1467787344827_0013 completed successfully
16/08/10 15:02:48 INFO mapreduce.Job: Counters: 30
        File System Counters
                FILE: Number of bytes read=0
                FILE: Number of bytes written=616636
                FILE: Number of read operations=0
                FILE: Number of large read operations=0
                FILE: Number of write operations=0
                HDFS: Number of bytes read=540
                HDFS: Number of bytes written=10079
                HDFS: Number of read operations=16
                HDFS: Number of large read operations=0
                HDFS: Number of write operations=8
        Job Counters
                Launched map tasks=4
                Other local map tasks=4
                Total time spent by all maps in occupied slots (ms)=16132
                Total time spent by all reduces in occupied slots (ms)=0
                Total time spent by all map tasks (ms)=16132
                Total vcore-seconds taken by all map tasks=16132
                Total megabyte-seconds taken by all map tasks=66076672
        Map-Reduce Framework
                Map input records=109
                Map output records=109
                Input split bytes=540
                Spilled Records=0
                Failed Shuffles=0
                Merged Map outputs=0
                GC time elapsed (ms)=320
                CPU time spent (ms)=6340
                Physical memory (bytes) snapshot=999870464
                Virtual memory (bytes) snapshot=21872697344
                Total committed heap usage (bytes)=943194112
        File Input Format Counters
                Bytes Read=0
        File Output Format Counters
                Bytes Written=10079
16/08/10 15:02:48 INFO mapreduce.ImportJobBase: Transferred 9.8428 KB in 17.2115 seconds (585.597 bytes/sec)
16/08/10 15:02:48 INFO mapreduce.ImportJobBase: Retrieved 109 records.

文件是在我的用户下创建的：

hdfs dfs -ls /user/ojoqcu/SettingAttribute
Found 5 items
-rw-------   3 ojoqcu hdfs          0 2016-08-10 15:02 /user/ojoqcu/SettingAttribute/_SUCCESS
-rw-------   3 ojoqcu hdfs       8378 2016-08-10 15:02 /user/ojoqcu/SettingAttribute/part-m-00000
-rw-------   3 ojoqcu hdfs        144 2016-08-10 15:02 /user/ojoqcu/SettingAttribute/part-m-00001
-rw-------   3 ojoqcu hdfs       1123 2016-08-10 15:02 /user/ojoqcu/SettingAttribute/part-m-00002
-rw-------   3 ojoqcu hdfs        434 2016-08-10 15:02 /user/ojoqcu/SettingAttribute/part-m-00003

我在HCatalog（也不是Hive）中看不到任何内容

-bash-4.2$ /usr/hdp/2.4.2.0-258/hive-hcatalog/bin/hcat -e "show tables in default;"
WARNING: Use "yarn jar" to launch YARN applications.
16/08/10 15:07:12 WARN conf.HiveConf: HiveConf of name hive.server2.enable.impersonation does not exist
OK
Time taken: 2.007 seconds

是否存在授权问题？

我检查了var / log但是Sqoop，Hive-Hcatalog和Hive都没有，我如何查看授权问题并修复它？

1 个答案:

答案 0 :(得分：0)

好吧，我不确定这是授权问题还是仅仅解析问题或两者兼而有之。我做了以下工作并且有效：

  1. 做了su hive

  2. 执行以下命令（可能-- --schema应该是 最后一个arg，Sqoop在那之后简单地忽略/打破了！）

    sqoop import --hcatalog-home /usr/hdp/current/hive-webhcat --hcatalog-database FleetManagement_Ape --hcatalog-table DatabaseLog --create-hcatalog-table --hcatalog-storage-stanza "stored as orcfile" --connect 'jdbc:sqlserver://<IP>;database=FleetManagement' --username --password --table DatabaseLog -- --schema ape

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