2017-01-15 83 views
0

我的Python UDF代码:无法存储别名C,同时试图使用Python UDF猪

#commaFormat- format a number with commas, 12345-> 12,345 
@outputSchema("numformat:chararray") 
def commaFormat(num): 
    return '{:,}'.format(num) 

我的猪脚本:

DEFINE CSVExcelStorage org.apache.pig.piggybank.storage.CSVExcelStorage; 
A = LOAD '/result.csv' using CSVExcelStorage() As (id:int,lastvisitedtime:chararray,title:chararray,typedcount:int,URL:chararray,visitcount:int,bytes:int); 
B = limit A 15; 
REGISTER '/data/pyudf/test.py' USING streaming_python AS myudfs; 
C = FOREACH B generate myudfs.commaFormat($1); 

猪堆栈跟踪:

--------------- ERROR 1002: Unable to store alias C

org.apache.pig.impl.logicalLayer.FrontendException: ERROR 1066: Unable to open iterator for alias C at org.apache.pig.PigServer.openIterator(PigServer.java:1019) at org.apache.pig.tools.grunt.GruntParser.processDump(GruntParser.java:747) at org.apache.pig.tools.pigscript.parser.PigScriptParser.parse(PigScriptParser.java:376) at org.apache.pig.tools.grunt.GruntParser.parseStopOnError(GruntParser.java:231) at org.apache.pig.tools.grunt.GruntParser.parseStopOnError(GruntParser.java:206) at org.apache.pig.tools.grunt.Grunt.exec(Grunt.java:81) at org.apache.pig.Main.run(Main.java:630) at org.apache.pig.Main.main(Main.java:176) 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: org.apache.pig.PigException: ERROR 1002: Unable to store alias C at org.apache.pig.PigServer.storeEx(PigServer.java:1122) at org.apache.pig.PigServer.store(PigServer.java:1081) at org.apache.pig.PigServer.openIterator(PigServer.java:994) ... 13 more Caused by: org.apache.pig.backend.executionengine.ExecException: ERROR 0: Exception while executing (Name: C: Store(hdfs://localhost:54310/tmp/temp1063554930/tmp-651585063:org.apache.pig.impl.io.InterStorage) - scope-16 Operator Key: scope-16): org.apache.pig.impl.streaming.StreamingUDFException: LINE : KeyError: 'concatMult4'

at org.apache.pig.backend.hadoop.executionengine.physicalLayer.PhysicalOperator.processInput(PhysicalOperator.java:314) at org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.POStore.getNextTuple(POStore.java:159) at org.apache.pig.backend.hadoop.executionengine.fetch.FetchLauncher.runPipeline(FetchLauncher.java:157) at org.apache.pig.backend.hadoop.executionengine.fetch.FetchLauncher.launchPig(FetchLauncher.java:81) at org.apache.pig.backend.hadoop.executionengine.HExecutionEngine.launchPig(HExecutionEngine.java:306) at org.apache.pig.PigServer.launchPlan(PigServer.java:1474) at org.apache.pig.PigServer.executeCompiledLogicalPlan(PigServer.java:1459) at org.apache.pig.PigServer.storeEx(PigServer.java:1118) ... 15 more Caused by: org.apache.pig.impl.streaming.StreamingUDFException: LINE : KeyError: 'concatMult4'

at org.apache.pig.impl.builtin.StreamingUDF$ProcessErrorThread.run(StreamingUDF.java:503)

回答

0

首先,您在定义语句中缺少()。

REGISTER /path/piggybank.jar; 
DEFINE CSVExcelStorage org.apache.pig.piggybank.storage.CSVExcelStorage(); 

您可能正在使用迫击炮的cPython发行版,它需要至少pig0.12。尝试使用jython脚本引擎。

REGISTER '/data/pyudf/test.py' USING jython AS myudfs; 
C = FOREACH B generate myudfs.commaFormat($1); 

或者,您可以使用REPLACE函数轻松删除逗号,而不用编写UDF。

REGISTER /path/piggybank.jar; 
DEFINE CSVExcelStorage org.apache.pig.piggybank.storage.CSVExcelStorage(); 
A = LOAD '/result.csv' using CSVExcelStorage() AS (id:int,lastvisitedtime:chararray,title:chararray,typedcount:int,URL:chararray,visitcount:int,bytes:int); 
B = FOREACH A GENERATE id,REPLACE(lastvisitedtime,',',''),title,typedcount,URL,visitcount,bytes; 
C = LIMIT B 15; 
DUMP C; 
+0

注册使用Jython脚本引擎蟒功能固定的误差。 – Aravinth

0

猪不会为您的Python UDF处理带有相关模块的Python UDF。 因此,您需要将这些文件封装在JAR中,并将该文件注册为您的Pig脚本的一部分。

REGISTER '/data/pyudf/test.py' USING jython AS myudfs; 

Python UDFs explained