`
侯上校
  • 浏览: 223455 次
  • 性别: Icon_minigender_1
  • 来自: 上海
社区版块
存档分类
最新评论

pig将查询翻译为MapReduce作业

    博客分类：
  • pig
 
阅读更多 
wget http://mirrors.cnnic.cn/apache/pig/pig-0.13.0/pig-0.13.0-src.tar.gz
tar -xvf pig-0.13.0-src.tar.gz
hadoop@hadoop:~$ vim .bashrc 
export ANT_OPTS="-Dhttp.proxyHost=proxy.com -Dhttp.proxyPort=8080"
hadoop@hadoop:~$ sudo vim /etc/profile
#pig  
export PIG_HOME=/usr/local/pig  
export PATH=$PIG_HOME/bin/:$PATH
配置hadoop安装目录
cd pig-0.13.0
ant clean jar-withouthadoop -Dhadoopversion=23
Buildfile: /opt/hn/hadoop_family/pig/pig-0.13.0-src/build.xml

clean:

clean:

clean:

ivy-download:
      [get] Getting: http://repo2.maven.org/maven2/org/apache/ivy/ivy/2.2.0/ivy-2.2.0.jar

......
copyHadoop1:

copyHadoop2:
     [copy] Copying 1 file to /opt/hn/hadoop_family/pig/pig-0.13.0-src

BUILD SUCCESSFUL
Total time: 3 minutes 24 seconds


Pig两种模式：
1.本地模式. 这种模式下Pig运行在一个JVM里，访问的是本地的文件系统，只适合于小规模数据集，一般是用来体验Pig。
   pig -x local
2.Hadoop模式. 这种模式下，Pig才真正的把查询转换为相应的MapReduce Jobs，并提交到Hadoop集群去运行.
   pig -x mapreduce



常用语句：

LOAD : 指出载入数据的方法

FOREACH：逐行扫描进行某种处理

FILTER：过滤行

DUMP：把结果显示到屏幕

STORE：把结果保存到文件

通常书写执行顺序：

LOAD ——〉FOREACH——〉STORE

$ pig hdfs://nn.mydomain.com:9020/myscripts/script.pig
hadoop@hadoopMaster:~$ hdfsCAT hdfs://hadoopMaster:9000/input/sample.txt
1950	0	1
1950	22	1
1950	-11	1
1949	111	1
1949	78	1

records = LOAD 'hdfs://hadoopMaster:9000/input/sample.txt' AS (year:chararray, temperature:int, quality:int);

filtered_records = FILTER records BY temperature != 9999 AND (quality == 0 OR quality == 1 OR quality == 4 OR quality == 5 OR quality == 9);

grouped_records = GROUP filtered_records BY year;

max_temp = FOREACH grouped_records GENERATE group, MAX(filtered_records.temperature);
DUMP max_temp;

ILLUSTRATE max_temp;
....
Output(s):
Successfully stored 2 records (26 bytes) in: "hdfs://hadoopMaster:9000/tmp/temp247096677/tmp640867181"

Counters:
Total records written : 2
Total bytes written : 26
Spillable Memory Manager spill count : 0
Total bags proactively spilled: 0
Total records proactively spilled: 0

Job DAG:
job_1405586574373_0003


2014-07-17 17:32:05,699 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - Success!
2014-07-17 17:32:05,703 [main] INFO  org.apache.hadoop.conf.Configuration.deprecation - fs.default.name is deprecated. Instead, use fs.defaultFS
2014-07-17 17:32:05,703 [main] INFO  org.apache.hadoop.conf.Configuration.deprecation - mapreduce.job.counters.limit is deprecated. Instead, use mapreduce.job.counters.max
2014-07-17 17:32:05,704 [main] INFO  org.apache.hadoop.conf.Configuration.deprecation - io.bytes.per.checksum is deprecated. Instead, use dfs.bytes-per-checksum
2014-07-17 17:32:05,705 [main] INFO  org.apache.pig.data.SchemaTupleBackend - Key [pig.schematuple] was not set... will not generate code.
2014-07-17 17:32:05,753 [main] INFO  org.apache.hadoop.mapreduce.lib.input.FileInputFormat - Total input paths to process : 1
2014-07-17 17:32:05,753 [main] INFO  org.apache.pig.backend.hadoop.executionengine.util.MapRedUtil - Total input paths to process : 1
(1949,111)
(1950,22)
grunt> ILLUSTRATE max_temp;
2014-07-17 17:32:19,155 [main] INFO  org.apache.hadoop.conf.Configuration.deprecation - fs.default.name is deprecated. Instead, use fs.defaultFS
2014-07-17 17:32:19,155 [main] INFO  org.apache.hadoop.conf.Configuration.deprecation - mapreduce.job.counters.limit is deprecated. Instead, use mapreduce.job.counters.max
2014-07-17 17:32:19,156 [main] INFO  org.apache.hadoop.conf.Configuration.deprecation - io.bytes.per.checksum is deprecated. Instead, use dfs.bytes-per-checksum
2014-07-17 17:32:19,159 [main] INFO  org.apache.pig.backend.hadoop.executionengine.HExecutionEngine - Connecting to hadoop file system at: hdfs://hadoopMaster:9000
2014-07-17 17:32:19,175 [main] INFO  org.apache.pig.newplan.logical.optimizer.LogicalPlanOptimizer - {RULES_ENABLED=[LoadTypeCastInserter, StreamTypeCastInserter], RULES_DISABLED=[AddForEach, ColumnMapKeyPrune, FilterLogicExpressionSimplifier, GroupByConstParallelSetter, LimitOptimizer, MergeFilter, MergeForEach, PartitionFilterOptimizer, PushDownForEachFlatten, PushUpFilter, SplitFilter]}
2014-07-17 17:32:19,192 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MRCompiler - File concatenation threshold: 100 optimistic? false
2014-07-17 17:32:19,195 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size before optimization: 1
2014-07-17 17:32:19,195 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size after optimization: 1
2014-07-17 17:32:19,198 [main] INFO  org.apache.pig.tools.pigstats.mapreduce.MRScriptState - Pig script settings are added to the job
2014-07-17 17:32:19,198 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - mapred.job.reduce.markreset.buffer.percent is not set, set to default 0.3
2014-07-17 17:32:19,219 [main] INFO  org.apache.pig.data.SchemaTupleFrontend - Key [pig.schematuple] is false, will not generate code.
2014-07-17 17:32:19,219 [main] INFO  org.apache.pig.data.SchemaTupleFrontend - Starting process to move generated code to distributed cacche
2014-07-17 17:32:19,219 [main] INFO  org.apache.pig.data.SchemaTupleFrontend - Setting key [pig.schematuple.classes] with classes to deserialize []
2014-07-17 17:32:19,344 [main] INFO  org.apache.pig.data.SchemaTupleBackend - Key [pig.schematuple] was not set... will not generate code.
2014-07-17 17:32:19,351 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapOnly$Map - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10] C:  R: 
2014-07-17 17:32:19,361 [main] INFO  org.apache.hadoop.mapreduce.lib.input.FileInputFormat - Total input paths to process : 1
2014-07-17 17:32:19,361 [main] INFO  org.apache.pig.backend.hadoop.executionengine.util.MapRedUtil - Total input paths to process : 1
2014-07-17 17:32:19,414 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MRCompiler - File concatenation threshold: 100 optimistic? false
2014-07-17 17:32:19,444 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size before optimization: 1
2014-07-17 17:32:19,444 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size after optimization: 1
2014-07-17 17:32:19,447 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.AccumulatorOptimizer - Reducer is to run in accumulative mode.
2014-07-17 17:32:19,449 [main] INFO  org.apache.pig.tools.pigstats.mapreduce.MRScriptState - Pig script settings are added to the job
2014-07-17 17:32:19,454 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - mapred.job.reduce.markreset.buffer.percent is not set, set to default 0.3
2014-07-17 17:32:19,456 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Reduce phase detected, estimating # of required reducers.
2014-07-17 17:32:19,456 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Using reducer estimator: org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator
2014-07-17 17:32:19,467 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator - BytesPerReducer=1000000000 maxReducers=999 totalInputFileSize=51
2014-07-17 17:32:19,467 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Setting Parallelism to 1
2014-07-17 17:32:19,643 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:19,698 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigGenericMapReduce$Map - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:19,769 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:19,796 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapReduce$Reduce - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:19,819 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MRCompiler - File concatenation threshold: 100 optimistic? false
2014-07-17 17:32:19,828 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size before optimization: 1
2014-07-17 17:32:19,828 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size after optimization: 1
2014-07-17 17:32:19,830 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.AccumulatorOptimizer - Reducer is to run in accumulative mode.
2014-07-17 17:32:19,832 [main] INFO  org.apache.pig.tools.pigstats.mapreduce.MRScriptState - Pig script settings are added to the job
2014-07-17 17:32:19,837 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - mapred.job.reduce.markreset.buffer.percent is not set, set to default 0.3
2014-07-17 17:32:19,839 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Reduce phase detected, estimating # of required reducers.
2014-07-17 17:32:19,839 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Using reducer estimator: org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator
2014-07-17 17:32:19,845 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator - BytesPerReducer=1000000000 maxReducers=999 totalInputFileSize=51
2014-07-17 17:32:19,845 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Setting Parallelism to 1
2014-07-17 17:32:19,991 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:20,024 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigGenericMapReduce$Map - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:20,062 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:20,088 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapReduce$Reduce - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:20,107 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MRCompiler - File concatenation threshold: 100 optimistic? false
2014-07-17 17:32:20,126 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size before optimization: 1
2014-07-17 17:32:20,126 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size after optimization: 1
2014-07-17 17:32:20,128 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.AccumulatorOptimizer - Reducer is to run in accumulative mode.
2014-07-17 17:32:20,131 [main] INFO  org.apache.pig.tools.pigstats.mapreduce.MRScriptState - Pig script settings are added to the job
2014-07-17 17:32:20,135 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - mapred.job.reduce.markreset.buffer.percent is not set, set to default 0.3
2014-07-17 17:32:20,136 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Reduce phase detected, estimating # of required reducers.
2014-07-17 17:32:20,136 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Using reducer estimator: org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator
2014-07-17 17:32:20,144 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator - BytesPerReducer=1000000000 maxReducers=999 totalInputFileSize=51
2014-07-17 17:32:20,144 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Setting Parallelism to 1
2014-07-17 17:32:20,293 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:20,303 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigGenericMapReduce$Map - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:20,317 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:20,330 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapReduce$Reduce - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:20,340 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MRCompiler - File concatenation threshold: 100 optimistic? false
2014-07-17 17:32:20,347 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size before optimization: 1
2014-07-17 17:32:20,348 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size after optimization: 1
2014-07-17 17:32:20,349 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.AccumulatorOptimizer - Reducer is to run in accumulative mode.
2014-07-17 17:32:20,351 [main] INFO  org.apache.pig.tools.pigstats.mapreduce.MRScriptState - Pig script settings are added to the job
2014-07-17 17:32:20,357 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - mapred.job.reduce.markreset.buffer.percent is not set, set to default 0.3
2014-07-17 17:32:20,359 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Reduce phase detected, estimating # of required reducers.
2014-07-17 17:32:20,360 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Using reducer estimator: org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator
2014-07-17 17:32:20,368 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator - BytesPerReducer=1000000000 maxReducers=999 totalInputFileSize=51
2014-07-17 17:32:20,368 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Setting Parallelism to 1
2014-07-17 17:32:20,465 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:20,492 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigGenericMapReduce$Map - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:20,504 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:20,511 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapReduce$Reduce - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:20,515 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MRCompiler - File concatenation threshold: 100 optimistic? false
2014-07-17 17:32:20,530 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size before optimization: 1
2014-07-17 17:32:20,533 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size after optimization: 1
2014-07-17 17:32:20,535 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.AccumulatorOptimizer - Reducer is to run in accumulative mode.
2014-07-17 17:32:20,540 [main] INFO  org.apache.pig.tools.pigstats.mapreduce.MRScriptState - Pig script settings are added to the job
2014-07-17 17:32:20,543 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - mapred.job.reduce.markreset.buffer.percent is not set, set to default 0.3
2014-07-17 17:32:20,545 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Reduce phase detected, estimating # of required reducers.
2014-07-17 17:32:20,547 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Using reducer estimator: org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator
2014-07-17 17:32:20,554 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator - BytesPerReducer=1000000000 maxReducers=999 totalInputFileSize=51
2014-07-17 17:32:20,554 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Setting Parallelism to 1
2014-07-17 17:32:20,602 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:20,618 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigGenericMapReduce$Map - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:20,650 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:20,655 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapReduce$Reduce - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:20,666 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MRCompiler - File concatenation threshold: 100 optimistic? false
2014-07-17 17:32:20,674 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size before optimization: 1
2014-07-17 17:32:20,674 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size after optimization: 1
2014-07-17 17:32:20,676 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.AccumulatorOptimizer - Reducer is to run in accumulative mode.
2014-07-17 17:32:20,681 [main] INFO  org.apache.pig.tools.pigstats.mapreduce.MRScriptState - Pig script settings are added to the job
2014-07-17 17:32:20,684 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - mapred.job.reduce.markreset.buffer.percent is not set, set to default 0.3
2014-07-17 17:32:20,689 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Reduce phase detected, estimating # of required reducers.
2014-07-17 17:32:20,689 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Using reducer estimator: org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator
2014-07-17 17:32:20,694 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator - BytesPerReducer=1000000000 maxReducers=999 totalInputFileSize=51
2014-07-17 17:32:20,694 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Setting Parallelism to 1
2014-07-17 17:32:20,751 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:20,770 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigGenericMapReduce$Map - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:20,783 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:20,789 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapReduce$Reduce - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:20,793 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MRCompiler - File concatenation threshold: 100 optimistic? false
2014-07-17 17:32:20,799 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size before optimization: 1
2014-07-17 17:32:20,799 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size after optimization: 1
2014-07-17 17:32:20,801 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.AccumulatorOptimizer - Reducer is to run in accumulative mode.
2014-07-17 17:32:20,805 [main] INFO  org.apache.pig.tools.pigstats.mapreduce.MRScriptState - Pig script settings are added to the job
2014-07-17 17:32:20,808 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - mapred.job.reduce.markreset.buffer.percent is not set, set to default 0.3
2014-07-17 17:32:20,809 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Reduce phase detected, estimating # of required reducers.
2014-07-17 17:32:20,809 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Using reducer estimator: org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator
2014-07-17 17:32:20,814 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator - BytesPerReducer=1000000000 maxReducers=999 totalInputFileSize=51
2014-07-17 17:32:20,814 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Setting Parallelism to 1
2014-07-17 17:32:20,843 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:20,850 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigGenericMapReduce$Map - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:20,862 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:20,868 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapReduce$Reduce - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:20,872 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MRCompiler - File concatenation threshold: 100 optimistic? false
2014-07-17 17:32:20,889 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size before optimization: 1
2014-07-17 17:32:20,889 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size after optimization: 1
2014-07-17 17:32:20,892 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.AccumulatorOptimizer - Reducer is to run in accumulative mode.
2014-07-17 17:32:20,896 [main] INFO  org.apache.pig.tools.pigstats.mapreduce.MRScriptState - Pig script settings are added to the job
2014-07-17 17:32:20,901 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - mapred.job.reduce.markreset.buffer.percent is not set, set to default 0.3
2014-07-17 17:32:20,906 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Reduce phase detected, estimating # of required reducers.
2014-07-17 17:32:20,906 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Using reducer estimator: org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator
2014-07-17 17:32:20,914 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator - BytesPerReducer=1000000000 maxReducers=999 totalInputFileSize=51
2014-07-17 17:32:20,914 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Setting Parallelism to 1
2014-07-17 17:32:21,028 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:21,061 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigGenericMapReduce$Map - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:21,089 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:21,110 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapReduce$Reduce - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
(1949,78,1)
2014-07-17 17:32:21,125 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MRCompiler - File concatenation threshold: 100 optimistic? false
2014-07-17 17:32:21,131 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size before optimization: 1
2014-07-17 17:32:21,131 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size after optimization: 1
2014-07-17 17:32:21,132 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.AccumulatorOptimizer - Reducer is to run in accumulative mode.
2014-07-17 17:32:21,133 [main] INFO  org.apache.pig.tools.pigstats.mapreduce.MRScriptState - Pig script settings are added to the job
2014-07-17 17:32:21,135 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - mapred.job.reduce.markreset.buffer.percent is not set, set to default 0.3
2014-07-17 17:32:21,136 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Reduce phase detected, estimating # of required reducers.
2014-07-17 17:32:21,136 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Using reducer estimator: org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator
2014-07-17 17:32:21,141 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator - BytesPerReducer=1000000000 maxReducers=999 totalInputFileSize=51
2014-07-17 17:32:21,141 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Setting Parallelism to 1
2014-07-17 17:32:21,172 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:21,179 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigGenericMapReduce$Map - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:21,189 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:21,196 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapReduce$Reduce - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:21,201 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MRCompiler - File concatenation threshold: 100 optimistic? false
2014-07-17 17:32:21,214 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size before optimization: 1
2014-07-17 17:32:21,214 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size after optimization: 1
2014-07-17 17:32:21,215 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.AccumulatorOptimizer - Reducer is to run in accumulative mode.
2014-07-17 17:32:21,216 [main] INFO  org.apache.pig.tools.pigstats.mapreduce.MRScriptState - Pig script settings are added to the job
2014-07-17 17:32:21,218 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - mapred.job.reduce.markreset.buffer.percent is not set, set to default 0.3
2014-07-17 17:32:21,231 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Reduce phase detected, estimating # of required reducers.
2014-07-17 17:32:21,233 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Using reducer estimator: org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator
2014-07-17 17:32:21,241 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator - BytesPerReducer=1000000000 maxReducers=999 totalInputFileSize=51
2014-07-17 17:32:21,241 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Setting Parallelism to 1
2014-07-17 17:32:21,293 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:21,310 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigGenericMapReduce$Map - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:21,331 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:21,344 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapReduce$Reduce - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:21,353 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MRCompiler - File concatenation threshold: 100 optimistic? false
2014-07-17 17:32:21,360 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size before optimization: 1
2014-07-17 17:32:21,363 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size after optimization: 1
2014-07-17 17:32:21,364 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.AccumulatorOptimizer - Reducer is to run in accumulative mode.
2014-07-17 17:32:21,373 [main] INFO  org.apache.pig.tools.pigstats.mapreduce.MRScriptState - Pig script settings are added to the job
2014-07-17 17:32:21,374 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - mapred.job.reduce.markreset.buffer.percent is not set, set to default 0.3
2014-07-17 17:32:21,377 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Reduce phase detected, estimating # of required reducers.
2014-07-17 17:32:21,378 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Using reducer estimator: org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator
2014-07-17 17:32:21,385 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator - BytesPerReducer=1000000000 maxReducers=999 totalInputFileSize=51
2014-07-17 17:32:21,385 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Setting Parallelism to 1
2014-07-17 17:32:21,419 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:21,426 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigGenericMapReduce$Map - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:21,437 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:21,444 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapReduce$Reduce - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:21,448 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MRCompiler - File concatenation threshold: 100 optimistic? false
2014-07-17 17:32:21,451 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size before optimization: 1
2014-07-17 17:32:21,451 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size after optimization: 1
2014-07-17 17:32:21,452 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.AccumulatorOptimizer - Reducer is to run in accumulative mode.
2014-07-17 17:32:21,453 [main] INFO  org.apache.pig.tools.pigstats.mapreduce.MRScriptState - Pig script settings are added to the job
2014-07-17 17:32:21,460 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - mapred.job.reduce.markreset.buffer.percent is not set, set to default 0.3
2014-07-17 17:32:21,461 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Reduce phase detected, estimating # of required reducers.
2014-07-17 17:32:21,461 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Using reducer estimator: org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator
2014-07-17 17:32:21,466 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator - BytesPerReducer=1000000000 maxReducers=999 totalInputFileSize=51
2014-07-17 17:32:21,466 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Setting Parallelism to 1
2014-07-17 17:32:21,499 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:21,511 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigGenericMapReduce$Map - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:21,556 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:21,565 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapReduce$Reduce - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:21,572 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MRCompiler - File concatenation threshold: 100 optimistic? false
2014-07-17 17:32:21,575 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size before optimization: 1
2014-07-17 17:32:21,575 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size after optimization: 1
2014-07-17 17:32:21,576 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.AccumulatorOptimizer - Reducer is to run in accumulative mode.
2014-07-17 17:32:21,577 [main] INFO  org.apache.pig.tools.pigstats.mapreduce.MRScriptState - Pig script settings are added to the job
2014-07-17 17:32:21,581 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - mapred.job.reduce.markreset.buffer.percent is not set, set to default 0.3
2014-07-17 17:32:21,582 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Reduce phase detected, estimating # of required reducers.
2014-07-17 17:32:21,582 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Using reducer estimator: org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator
2014-07-17 17:32:21,587 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator - BytesPerReducer=1000000000 maxReducers=999 totalInputFileSize=51
2014-07-17 17:32:21,587 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Setting Parallelism to 1
2014-07-17 17:32:21,625 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:21,636 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigGenericMapReduce$Map - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:21,647 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:21,658 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapReduce$Reduce - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:21,661 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MRCompiler - File concatenation threshold: 100 optimistic? false
2014-07-17 17:32:21,664 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size before optimization: 1
2014-07-17 17:32:21,664 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size after optimization: 1
2014-07-17 17:32:21,664 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.AccumulatorOptimizer - Reducer is to run in accumulative mode.
2014-07-17 17:32:21,666 [main] INFO  org.apache.pig.tools.pigstats.mapreduce.MRScriptState - Pig script settings are added to the job
2014-07-17 17:32:21,667 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - mapred.job.reduce.markreset.buffer.percent is not set, set to default 0.3
2014-07-17 17:32:21,668 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Reduce phase detected, estimating # of required reducers.
2014-07-17 17:32:21,668 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Using reducer estimator: org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator
2014-07-17 17:32:21,673 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator - BytesPerReducer=1000000000 maxReducers=999 totalInputFileSize=51
2014-07-17 17:32:21,674 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Setting Parallelism to 1
2014-07-17 17:32:21,708 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:21,715 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigGenericMapReduce$Map - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:21,727 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:21,731 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapReduce$Reduce - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:21,733 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MRCompiler - File concatenation threshold: 100 optimistic? false
2014-07-17 17:32:21,743 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size before optimization: 1
2014-07-17 17:32:21,744 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size after optimization: 1
2014-07-17 17:32:21,745 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.AccumulatorOptimizer - Reducer is to run in accumulative mode.
2014-07-17 17:32:21,751 [main] INFO  org.apache.pig.tools.pigstats.mapreduce.MRScriptState - Pig script settings are added to the job
2014-07-17 17:32:21,753 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - mapred.job.reduce.markreset.buffer.percent is not set, set to default 0.3
2014-07-17 17:32:21,753 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Reduce phase detected, estimating # of required reducers.
2014-07-17 17:32:21,753 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Using reducer estimator: org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator
2014-07-17 17:32:21,758 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator - BytesPerReducer=1000000000 maxReducers=999 totalInputFileSize=51
2014-07-17 17:32:21,758 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Setting Parallelism to 1
2014-07-17 17:32:21,799 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:21,806 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigGenericMapReduce$Map - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:21,816 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:21,827 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapReduce$Reduce - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:21,836 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MRCompiler - File concatenation threshold: 100 optimistic? false
2014-07-17 17:32:21,839 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size before optimization: 1
2014-07-17 17:32:21,839 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size after optimization: 1
2014-07-17 17:32:21,840 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.AccumulatorOptimizer - Reducer is to run in accumulative mode.
2014-07-17 17:32:21,842 [main] INFO  org.apache.pig.tools.pigstats.mapreduce.MRScriptState - Pig script settings are added to the job
2014-07-17 17:32:21,843 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - mapred.job.reduce.markreset.buffer.percent is not set, set to default 0.3
2014-07-17 17:32:21,844 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Reduce phase detected, estimating # of required reducers.
2014-07-17 17:32:21,844 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Using reducer estimator: org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator
2014-07-17 17:32:21,849 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator - BytesPerReducer=1000000000 maxReducers=999 totalInputFileSize=51
2014-07-17 17:32:21,849 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Setting Parallelism to 1
2014-07-17 17:32:21,881 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:21,895 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigGenericMapReduce$Map - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:21,908 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:21,914 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapReduce$Reduce - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:21,917 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MRCompiler - File concatenation threshold: 100 optimistic? false
2014-07-17 17:32:21,921 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size before optimization: 1
2014-07-17 17:32:21,922 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size after optimization: 1
2014-07-17 17:32:21,923 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.AccumulatorOptimizer - Reducer is to run in accumulative mode.
2014-07-17 17:32:21,924 [main] INFO  org.apache.pig.tools.pigstats.mapreduce.MRScriptState - Pig script settings are added to the job
2014-07-17 17:32:21,925 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - mapred.job.reduce.markreset.buffer.percent is not set, set to default 0.3
2014-07-17 17:32:21,931 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Reduce phase detected, estimating # of required reducers.
2014-07-17 17:32:21,931 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Using reducer estimator: org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator
2014-07-17 17:32:21,937 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator - BytesPerReducer=1000000000 maxReducers=999 totalInputFileSize=51
2014-07-17 17:32:21,937 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Setting Parallelism to 1
2014-07-17 17:32:21,974 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:21,984 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigGenericMapReduce$Map - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:21,997 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:22,005 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapReduce$Reduce - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:22,008 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MRCompiler - File concatenation threshold: 100 optimistic? false
2014-07-17 17:32:22,010 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size before optimization: 1
2014-07-17 17:32:22,014 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size after optimization: 1
2014-07-17 17:32:22,015 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.AccumulatorOptimizer - Reducer is to run in accumulative mode.
2014-07-17 17:32:22,016 [main] INFO  org.apache.pig.tools.pigstats.mapreduce.MRScriptState - Pig script settings are added to the job
2014-07-17 17:32:22,018 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - mapred.job.reduce.markreset.buffer.percent is not set, set to default 0.3
2014-07-17 17:32:22,018 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Reduce phase detected, estimating # of required reducers.
2014-07-17 17:32:22,022 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Using reducer estimator: org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator
2014-07-17 17:32:22,027 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator - BytesPerReducer=1000000000 maxReducers=999 totalInputFileSize=51
2014-07-17 17:32:22,027 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Setting Parallelism to 1
2014-07-17 17:32:22,057 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:22,064 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigGenericMapReduce$Map - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
2014-07-17 17:32:22,076 [main] WARN  org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2014-07-17 17:32:22,080 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapReduce$Reduce - Aliases being processed per job phase (AliasName[line,offset]): M: records[1,10],records[-1,-1],filtered_records[2,19],grouped_records[3,18] C:  R: max_temp[4,11]
----------------------------------------------------------------------------
| records     | year:chararray     | temperature:int     | quality:int     | 
----------------------------------------------------------------------------
|             | 1949               | 78                  | 1               | 
|             | 1949               | 111                 | 1               | 
|             | 1949               | 9999                | 1               | 
----------------------------------------------------------------------------
-------------------------------------------------------------------------------------
| filtered_records     | year:chararray     | temperature:int     | quality:int     | 
-------------------------------------------------------------------------------------
|                      | 1949               | 78                  | 1               | 
|                      | 1949               | 111                 | 1               | 
-------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------------
| grouped_records     | group:chararray     | filtered_records:bag{:tuple(year:chararray,temperature:int,quality:int)}                     | 
--------------------------------------------------------------------------------------------------------------------------------------------
|                     | 1949                | {(1949, 78, 1), (1949, 111, 1)}                                                              | 
|                     | 1949                | {(1949, 78, 1), (1949, 111, 1)}                                                              | 
--------------------------------------------------------------------------------------------------------------------------------------------
-------------------------------------------------
| max_temp     | group:chararray     | :int     | 
-------------------------------------------------
|              | 1949                | 111      | 
-------------------------------------------------

grunt>

 

分享到：
| hive创建hbase外部表
评论
发表评论

您还没有登录,请您登录后再发表评论

相关推荐

    基于MapReduce的SQL查询优化分析.pdf

    然而，在分布式数据库系统如HBase中，由于其底层依赖Hadoop的HDFS文件系统，SQL查询需要通过MapReduce作业来实现。MapReduce是一种并行处理模型，虽然抽象层次较高，但直接编写MapReduce程序仍然较为复杂，尤其对于...

    hadoop开发者

    Pig编写的MapReduce程序通过Pig Latin语言编写的脚本来执行，Pig Latin提供了一系列的操作符来处理数据集，最后通过执行引擎将Pig脚本翻译成MapReduce作业运行。 在Hadoop开发培训中，实验部分是一个重要的环节。...

    最新 Hadoop权威指南 第四版 中文(绝非水军)

    - **YARN（Yet Another Resource Negotiator）**：资源管理系统，负责调度集群中的计算资源，协调MapReduce作业的执行。 3. **Hadoop生态系统**：包括HBase（分布式NoSQL数据库）、Hive（数据仓库工具）、Pig...

    Hadoop实战 韩继忠 译.pdf

    - **Pig**：提供了一个高层次的数据流语言（Pig Latin），简化了编写复杂MapReduce作业的过程。 - **Spark**：虽然不是Hadoop项目的一部分，但它经常与Hadoop一起使用，因为它可以在Hadoop集群上高效地运行计算任务...

    Hadoop权威指南 中文PDF扫描版

    这本书的中文PDF扫描版为读者提供了便捷的阅读方式，特别是对于中文环境下的学习者来说，无需翻译就能直接理解其中的专业术语和概念。108MB的文件大小表明该版本包含了丰富的内容和高质量的图像，确保了阅读体验。 ...

    Hadoop实战中文版

    Hive让不熟悉Java编程的用户也能够通过类SQL语言HiveQL进行数据查询和分析，而Pig则通过Pig Latin语言简化了复杂的数据转换过程。本书中，作者也会对Hive和Pig的使用方法和高级特性进行详细介绍。 本书不会忽略对...

    Hadoop权威指南 中文版

    MapReduce的工作流程、编程接口以及如何设计高效的MapReduce作业，都是Hadoop开发者必须掌握的知识点。 5. YARN资源管理：YARN作为Hadoop的资源管理组件，负责集群资源的分配和任务调度。理解YARN如何优化资源利用...

    hadoop权威指南第四版

    本资源包括英文原版、中文翻译版以及相关代码，中文版虽然为扫描版，但内容完整，方便中文读者学习。 Hadoop是Apache基金会开发的一个开源项目，最初设计用于处理和存储大规模数据集。其核心包括两个主要组件：...

    Hadoop权威指南中英文合集

    MapReduce部分则解析了作业提交流程、任务调度、容错机制等关键概念。此外，还介绍了Hadoop生态系统的其他组件，如HBase（一个分布式NoSQL数据库）、Hive（数据仓库工具）、Pig（数据分析平台）和YARN（资源管理器）...

    Big Data Glossary-大数据术语

    mrjob是一个Python库，用于在本地或亚马逊EMR集群上运行Hadoop MapReduce作业。它简化了编写和执行MapReduce任务的过程。 **3.7 Caffeine** Caffeine是一个Java库，专注于提供高性能的缓存解决方案，适用于需要...

Magicbox
Global site tag (gtag.js) - Google Analytics