使用Ambari 2.2.2.0安装的HDP-2.4.2.0-258
我必须导入几个应该可以通过Hive，Pig，MR和任何第三方(将来使用)访问的SQL Server模式。我决定导入HCatalog。
Sqoop提供了导入Hive或HCatalog的方法，我想如果我导入HCatalog，则可以从Hive CLI，MR和Pig访问同一表(请评估我的假设)。
问题:
？
问题:
我希望一步实现以下目标:
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，这些记录已获取:
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.
这些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中看不到任何内容(在Hive中也看不到)
-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
是否存在一些授权问题？
我检查了var / log，但Sqoop，Hive-Hcatalog和Hive都不存在，如何查看授权问题并进行修复？
最佳答案
好吧，我不确定这是授权问题还是仅是解析问题，或者两者都是。我做了以下工作，它的工作:
su hive -- --schema应该为最后一个参数，Sqoop在此之后只会忽略/中断!)
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