阅读Pig中的非字符串分区Hive表

Question

我正尝试使用Pig读取Hive表中的数据。详细信息如下：

• 蜂巢版本1.1
• 猪0.12
• 的Hadoop 2.6.0
• Cloudera的分销5.4.4

蜂巢表模式：

map <string, string> 
yyyy int 
mm int 
dd int 

Partitions are yyyy(int), mm(int), dd(int) 

猪代码：

012用于运行

input_data = LOAD ‘dbname.tablename' 
      USING org.apache.hive.hcatalog.pig.HCatLoader() 
      ; 

input_data_f = FILTER input_data BY yyyy == 2016 AND 
             mm == 7 AND 
             dd == 19 
             ; 

rmf input_data_dump; 
STORE input_data_f INTO ‘input_data_dump'; 

命令：pig -useHCatalog -f ./read_input.pig

我碰到下面的错误。

Error: 
Pig Stack Trace 
--------------- 
ERROR 2017: Internal error creating job configuration. 

org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobCreationException: ERROR 2017: Internal error creating job configuration. 
     at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler.getJob(JobControlCompiler.java:873) 
     at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler.compile(JobControlCompiler.java:298) 
     at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher.launchPig(MapReduceLauncher.java:190) 
     at org.apache.pig.PigServer.launchPlan(PigServer.java:1334) 
     at org.apache.pig.PigServer.executeCompiledLogicalPlan(PigServer.java:1319) 
     at org.apache.pig.PigServer.execute(PigServer.java:1309) 
     at org.apache.pig.PigServer.executeBatch(PigServer.java:387) 
     at org.apache.pig.PigServer.executeBatch(PigServer.java:365) 
     at org.apache.pig.tools.grunt.GruntParser.executeBatch(GruntParser.java:140) 
     at org.apache.pig.tools.grunt.GruntParser.parseStopOnError(GruntParser.java:202) 
     at org.apache.pig.tools.grunt.GruntParser.parseStopOnError(GruntParser.java:173) 
     at org.apache.pig.tools.grunt.Grunt.exec(Grunt.java:84) 
     at org.apache.pig.Main.run(Main.java:478) 
     at org.apache.pig.Main.main(Main.java:156) 
     at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) 
     at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) 
     at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) 
     at java.lang.reflect.Method.invoke(Method.java:606) 
     at org.apache.hadoop.util.RunJar.run(RunJar.java:221) 
     at org.apache.hadoop.util.RunJar.main(RunJar.java:136) 
Caused by: java.io.IOException: MetaException(message:Filtering is supported only on partition keys of type string) 
     at org.apache.hive.hcatalog.mapreduce.HCatInputFormat.setInput(HCatInputFormat.java:97) 
     at org.apache.hive.hcatalog.mapreduce.HCatInputFormat.setInput(HCatInputFormat.java:61) 
     at org.apache.hive.hcatalog.pig.HCatLoader.setLocation(HCatLoader.java:125) 
     at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler.getJob(JobControlCompiler.java:498) 
     ... 19 more 
Caused by: MetaException(message:Filtering is supported only on partition keys of type string) 
     at org.apache.hadoop.hive.metastore.api.ThriftHiveMetastore$get_partitions_by_filter_result$get_partitions_by_filter_resultStandardScheme.read(ThriftHiveMetastore.java) 
     at org.apache.hadoop.hive.metastore.api.ThriftHiveMetastore$get_partitions_by_filter_result$get_partitions_by_filter_resultStandardScheme.read(ThriftHiveMetastore.java) 
     at org.apache.hadoop.hive.metastore.api.ThriftHiveMetastore$get_partitions_by_filter_result.read(ThriftHiveMetastore.java) 
     at org.apache.thrift.TServiceClient.receiveBase(TServiceClient.java:78) 
     at org.apache.hadoop.hive.metastore.api.ThriftHiveMetastore$Client.recv_get_partitions_by_filter(ThriftHiveMetastore.java:2132) 
     at org.apache.hadoop.hive.metastore.api.ThriftHiveMetastore$Client.get_partitions_by_filter(ThriftHiveMetastore.java:2116) 
     at org.apache.hadoop.hive.metastore.HiveMetaStoreClient.listPartitionsByFilter(HiveMetaStoreClient.java:1047) 
     at org.apache.hive.hcatalog.mapreduce.InitializeInput.getInputJobInfo(InitializeInput.java:113) 
     at org.apache.hive.hcatalog.mapreduce.InitializeInput.setInput(InitializeInput.java:86) 
     at org.apache.hive.hcatalog.mapreduce.HCatInputFormat.setInput(HCatInputFormat.java:95) 
     ... 22 more 

寻找在网络上拉去https://issues.apache.org/jira/browse/HIVE-7164

在蜂房site.xml中设置hive.metastore.integral.jdo.pushdown为true，唯一的解决办法？这是一个公司设置，所以我不确定是否可以对hive-site.xml进行更改，如果我让管理员进行更改，会有任何副作用？

尝试了以下内容：

尝试1

set hive.metastore.integral.jdo.pushdown true; 

input_data = LOAD ‘dbname.tablename' 
      USING org.apache.hive.hcatalog.pig.HCatLoader() 
      ; 

input_data_f = FILTER input_data BY yyyy == 2016 AND 
             mm == 7 AND 
             dd == 19 
             ; 

STORE input_data_f INTO ‘input_data_dump'; 

我看到这在日志中：

org.apache.pig.newplan.logical.optimizer.LogicalPlanOptimizer - {RULES_ENABLED=[AddForEach, ColumnMapKeyPrune, DuplicateForEachColumnRewrite, GroupByConstParallelSetter, ImplicitSplitInserter, LimitOptimizer, LoadTypeCastInserter, MergeFilter, MergeForEach, NewPartitionFilterOptimizer, PushDownForEachFlatten, PushUpFilter, SplitFilter, StreamTypeCastInserter], RULES_DISABLED=[FilterLogicExpressionSimplifier, PartitionFilterOptimizer]} 

尝试2

set hive.metastore.integral.jdo.pushdown true; 
set pig.exec.useOldPartitionFilterOptimizer true; 

input_data = LOAD ‘dbname.tablename' 
      USING org.apache.hive.hcatalog.pig.HCatLoader() 
      ; 

input_data_f = FILTER input_data BY yyyy == 2016; 
input_data_f1 = FILTER input_data_f BY mm == 7; 
input_data_f2 = FILTER input_data_f1 BY dd == 19; 

STORE input_data_f2 INTO ‘input_data_dump'; 

我看到这在日志中：

org.apache.pig.newplan.logical.optimizer.LogicalPlanOptimizer - {RULES_ENABLED=[AddForEach, ColumnMapKeyPrune, DuplicateForEachColumnRewrite, GroupByConstParallelSetter, ImplicitSplitInserter, LimitOptimizer, LoadTypeCastInserter, MergeFilter, MergeForEach, PartitionFilterOptimizer, PushDownForEachFlatten, PushUpFilter, SplitFilter, StreamTypeCastInserter], RULES_DISABLED=[FilterLogicExpressionSimplifier, NewPartitionFilterOptimizer]} 

尝试3

set pig.exec.useOldPartitionFilterOptimizer true; 

input_data = LOAD ‘dbname.tablename' 
      USING org.apache.hive.hcatalog.pig.HCatLoader() 
      ; 

input_data_f = FILTER input_data BY yyyy == 2016; 
input_data_f1 = FILTER input_data_f BY mm == 7; 
input_data_f2 = FILTER input_data_f1 BY dd == 19; 

STORE input_data_f2 INTO ‘input_data_dump'; 

我看到这在日志中：

org.apache.pig.newplan.logical.optimizer.LogicalPlanOptimizer - {RULES_ENABLED=[AddForEach, ColumnMapKeyPrune, DuplicateForEachColumnRewrite, GroupByConstParallelSetter, ImplicitSplitInserter, LimitOptimizer, LoadTypeCastInserter, MergeFilter, MergeForEach, PartitionFilterOptimizer, PushDownForEachFlatten, PushUpFilter, SplitFilter, StreamTypeCastInserter], RULES_DISABLED=[FilterLogicExpressionSimplifier, NewPartitionFilterOptimizer]} 

通过上述的尝试我仍然得到同样的错误。

欣赏帮助。

Answer 1

更新：
分区过滤器不推入装载机在某些情况下：
猪0.12.0，猪只有推动第一过滤器来加载。你会得到相同的结果，但由于它会导致性能下降。 - 要解决这个问题，您应该为所有分区使用一个过滤语句。或者你也可以指定： pig.exec.useOldPartitionFilterOptimizer=truesee deails here - known issue of 0.12

猪脚本的特定属性，你可以使用 一个选项：

- 该pig.properties文件（添加包含pig.properties文件到类路径的目录）
- 该-D命令行选项和猪属性（猪-Dpig.tmpfilecompression=true）
- 的-P命令行选项和属性文件（pig -P mypig.properties）
- 的set命令（set pig.exec.nocombiner true）直接在猪sctipt

more details on properties here. . .

测试：铸造键入chararray

$ hadoop version 
Hadoop 2.6.0-cdh5.7.0 

$ pig -version 
Apache Pig version 0.12.0-cdh5.7.0 (rexported) 

$ cat pig_test1 
-- set hive.metastore.integral.jdo.pushdown true; 
input_data = LOAD 'cards.props' 
      USING org.apache.hive.hcatalog.pig.HCatLoader() 
      ; 

input_data_f = FILTER input_data BY (chararray)yyyy == '2106' AND 
            (chararray)mm == '8' AND 
             (chararray)dd == '4' 
             ; 
dump input_data_f; 

---

2016-08-04 17:15:54,541 [main] INFO org.apache.pig.tools.pigstats.ScriptState - Pig script settings are added to the job 
([1#test1],2106,8,4) 
([2#test2],2106,8,4) 
([3#test3],2106,8,4) 

---

hive> select * from props; 
OK 
{"1":"test1"} 2106 8 4 
{"2":"test2"} 2106 8 4 
{"3":"test3"} 2106 8 4