Apache Pig中Explain运算符能解决什么问题,如何用
Admin 2022-09-27 群英技术资讯 920 次浏览
在这篇文章中,我们来学习一下“Apache Pig中Explain运算符能解决什么问题,如何用”的相关知识,下文有详细的讲解,易于大家学习和理解,有需要的朋友可以借鉴参考,下面就请大家跟着小编的思路一起来学习一下吧。explain 运算符用于显示关系的逻辑,物理和MapReduce执行计划。
下面给出了 explain 运算符的语法。
grunt> explain Relation_name;
假设在HDFS中有一个包含以下内容的文件 student_data.txt 。
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.
使用LOAD运算符将它读入关系 student ,如下所示。
grunt> student = LOAD 'hdfs://localhost:9000/pig_data/student_data.txt' USING PigStorage(',')
as ( id:int, firstname:chararray, lastname:chararray, phone:chararray, city:chararray );
现在,让我们使用 explain 运算符解释名为student的关系,如下所示。
grunt> explain student;
它将产生以下输出。
$ 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
----------------
到此,关于“Apache Pig中Explain运算符能解决什么问题,如何用”的学习就结束了,希望能够解决大家的疑惑,另外大家动手实践也很重要,对大家加深理解和学习很有帮助。如果想要学习更多的相关知识,欢迎关注群英网络资讯站,小编每天都会给大家分享实用的文章!
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