Here we will discuss about explain operator in apache pig. The explain operator is used to display the logical, physical, and MapReduce execution plans of a relation.
Syntax
Given below is the syntax of the explain operator.
grunt> explain Relation_name;
Example
Assume we have a file student_data.txt in HDFS with the following content.
001,Rajiv,Reddy,9848022337,Hyderabad 002,siddarth,Battacharya,9848022338,Kolkata 003,Rajesh,Khanna,9848022339,Delhi 004,Preethi,Agarwal,9848022330,Pune 005,Trupthi,Mohanthy,9848022336,Bhuwaneshwar 006,Archana,Mishra,9848022335,Chennai.
And we have read it into a relation student using the LOAD operator as shown below.
grunt> student = LOAD 'hdfs://localhost:9000/pig_data/student_data.txt' USING PigStorage(',') as ( id:int, firstname:chararray, lastname:chararray, phone:chararray, city:chararray );
Now, let us explain the relation named student using the explain operator as shown below.
grunt> explain student;
Output
It will produce the following output.
$ explain student; 2015-10-05 11:32:43,660 [main] 2015-10-05 11:32:43,660 [main] INFO org.apache.pig.newplan.logical.optimizer .LogicalPlanOptimizer - {RULES_ENABLED=[AddForEach, ColumnMapKeyPrune, ConstantCalculator, GroupByConstParallelSetter, LimitOptimizer, LoadTypeCastInserter, MergeFilter, MergeForEach, PartitionFilterOptimizer, PredicatePushdownOptimizer, PushDownForEachFlatten, PushUpFilter, SplitFilter, StreamTypeCastInserter]} #----------------------------------------------- # New Logical Plan: #----------------------------------------------- student: (Name: LOStore Schema: id#31:int,firstname#32:chararray,lastname#33:chararray,phone#34:chararray,city# 35:chararray) | |---student: (Name: LOForEach Schema: id#31:int,firstname#32:chararray,lastname#33:chararray,phone#34:chararray,city# 35:chararray) | | | (Name: LOGenerate[false,false,false,false,false] Schema: id#31:int,firstname#32:chararray,lastname#33:chararray,phone#34:chararray,city# 35:chararray)ColumnPrune:InputUids=[34, 35, 32, 33, 31]ColumnPrune:OutputUids=[34, 35, 32, 33, 31] | | | | | (Name: Cast Type: int Uid: 31) | | | | | |---id:(Name: Project Type: bytearray Uid: 31 Input: 0 Column: (*)) | | | | | (Name: Cast Type: chararray Uid: 32) | | | | | |---firstname:(Name: Project Type: bytearray Uid: 32 Input: 1 Column: (*)) | | | | | (Name: Cast Type: chararray Uid: 33) | | | | | |---lastname:(Name: Project Type: bytearray Uid: 33 Input: 2 Column: (*)) | | | | | (Name: Cast Type: chararray Uid: 34) | | | | | |---phone:(Name: Project Type: bytearray Uid: 34 Input: 3 Column: (*)) | | | | | (Name: Cast Type: chararray Uid: 35) | | | | | |---city:(Name: Project Type: bytearray Uid: 35 Input: 4 Column: (*)) | | | |---(Name: LOInnerLoad[0] Schema: id#31:bytearray) | | | |---(Name: LOInnerLoad[1] Schema: firstname#32:bytearray) | | | |---(Name: LOInnerLoad[2] Schema: lastname#33:bytearray) | | | |---(Name: LOInnerLoad[3] Schema: phone#34:bytearray) | | | |---(Name: LOInnerLoad[4] Schema: city#35:bytearray) | |---student: (Name: LOLoad Schema: id#31:bytearray,firstname#32:bytearray,lastname#33:bytearray,phone#34:bytearray ,city#35:bytearray)RequiredFields:null #----------------------------------------------- # Physical Plan: #----------------------------------------------- student: Store(fakefile:org.apache.pig.builtin.PigStorage) - scope-36 | |---student: New For Each(false,false,false,false,false)[bag] - scope-35 | | | Cast[int] - scope-21 | | | |---Project[bytearray][0] - scope-20 | | | Cast[chararray] - scope-24 | | | |---Project[bytearray][1] - scope-23 | | | Cast[chararray] - scope-27 | | | |---Project[bytearray][2] - scope-26 | | | Cast[chararray] - scope-30 | | | |---Project[bytearray][3] - scope-29 | | | Cast[chararray] - scope-33 | | | |---Project[bytearray][4] - scope-32 | |---student: Load(hdfs://localhost:9000/pig_data/student_data.txt:PigStorage(',')) - scope19 2015-10-05 11:32:43,682 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MRCompiler - File concatenation threshold: 100 optimistic? false 2015-10-05 11:32:43,684 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOp timizer - MR plan size before optimization: 1 2015-10-05 11:32:43,685 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer. MultiQueryOp timizer - MR plan size after optimization: 1 #-------------------------------------------------- # Map Reduce Plan #-------------------------------------------------- MapReduce node scope-37 Map Plan student: Store(fakefile:org.apache.pig.builtin.PigStorage) - scope-36 | |---student: New For Each(false,false,false,false,false)[bag] - scope-35 | | | Cast[int] - scope-21 | | | |---Project[bytearray][0] - scope-20 | | | Cast[chararray] - scope-24 | | | |---Project[bytearray][1] - scope-23 | | | Cast[chararray] - scope-27 | | | |---Project[bytearray][2] - scope-26 | | | Cast[chararray] - scope-30 | | | |---Project[bytearray][3] - scope-29 | | | Cast[chararray] - scope-33 | | | |---Project[bytearray][4] - scope-32 | |---student: Load(hdfs://localhost:9000/pig_data/student_data.txt:PigStorage(',')) - scope 19-------- Global sort: false ----------------
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