Hive数据仓库--HiveQL视图和索引

上篇文章中讲完了查询的相关操作,接下来就是视图与索引了,Hive中的视图的作用总的来说就是为了简化查询语句,是一个逻辑上的视图,而不是物化的视图。索引则是加快查询速度的比较重要的手段,之前的Mysql优化的文章中也讲到了索引的使用,感觉概念上和Mysql数据库中的操作基本上是相似的。

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视图

创建这样的一个视图,高收入人群。

我试了下,这里的视图并不会帮我们进行存储视图所代表的查询语句所包含的数据的,这里可以认为他就是一个复杂的语句的简化,是一个逻辑的视图,而不是物化视图,这里好像并没有对效率进行提升。视图在这里是将Hive的行和列进行的固化,但是并没有对数据进行固化,那么当你删除掉表中的列的时候,会造成视图的错误。

创建视图语句

CREATE VIEW [IF NOT EXISTS] view_name [(column_name [COMMENT column_comment], ...) ]
[COMMENT view_comment]
[TBLPROPERTIES (property_name = property_value, ...)]
AS SELECT ...

创建视图

hive>
    > create view salaries_high as
    > select * from salaries_external where salary > 500000;
OK
Time taken: 1.227 seconds
hive> select * from salaries_high limit 10;
Total jobs = 1
Launching Job 1 out of 1
Number of reduce tasks is set to 0 since there's no reduce operator
Starting Job = job_1475147088438_0007, Tracking URL = http://hadoopwy1:8088/proxy/application_1475147088438_0007/
Kill Command = /usr/local/hadoop2/bin/hadoop job  -kill job_1475147088438_0007
Hadoop job information for Stage-1: number of mappers: 1; number of reducers: 0
2016-09-29 05:37:02,617 Stage-1 map = 0%,  reduce = 0%
2016-09-29 05:37:10,092 Stage-1 map = 100%,  reduce = 0%, Cumulative CPU 1.46 sec
MapReduce Total cumulative CPU time: 1 seconds 460 msec
Ended Job = job_1475147088438_0007
MapReduce Jobs Launched:
Job 0: Map: 1   Cumulative CPU: 1.46 sec   HDFS Read: 4422 HDFS Write: 310 SUCCESS
Total MapReduce CPU Time Spent: 1 seconds 460 msec
OK
1985    BAL     AL      murraed02       1472819.0
1985    BAL     AL      lynnfr01        1090000.0
1985    BAL     AL      ripkeca01       800000.0
1985    BAL     AL      lacyle01        725000.0
1985    BAL     AL      flanami01       641667.0
1985    BAL     AL      boddimi01       625000.0
1985    BAL     AL      stewasa01       581250.0
1985    BAL     AL      martide01       560000.0
1985    BAL     AL      roeniga01       558333.0
1985    BAL     AL      mcgresc01       547143.0
Time taken: 26.702 seconds, Fetched: 10 row(s)


删除视图


hive> drop view if exists salaries_high;
OK
Time taken: 1.043 seconds


索引


创建索引语句

CREATE INDEX index_name 
ON TABLE base_table_name (col_name, ...)
AS 'index.handler.class.name'
[WITH DEFERRED REBUILD]
[IDXPROPERTIES (property_name=property_value, ...)]
[IN TABLE index_table_name]
[PARTITIONED BY (col_name, ...)]
[
   [ ROW FORMAT ...] STORED AS ...
   | STORED BY ...
]
[LOCATION hdfs_path]
[TBLPROPERTIES (...)]
[COMMENT "index comment"]


创建一个索引

索引表的

hive> create index yearindex on table salaries_external(yearid) as 'org.apache.hadoop.hive.ql.index.compact.CompactIndexHandler' with deferred rebuild in table salaries_external_index;
OK
Time taken: 0.475 seconds

仅仅索引的

hive> create index index_test on table salaries_external(yearid) AS  'org.apache.hadoop.hive.ql.index.compact.CompactIndexHandler' WITH DEFERRED REBUILD ;
OK
Time taken: 0.278 seconds



查看索引

hive>
    > show index on salaries_external;
OK
yearindex               salaries_external       yearid                  salaries_external_index compact
index_test              salaries_external       yearid                  default__salaries_external_index_test__ compact
Time taken: 0.077 seconds, Fetched: 2 row(s)


改变索引

hive> alter index index_test on salaries_external rebuild;
Total jobs = 1
Launching Job 1 out of 1
Number of reduce tasks not specified. Estimated from input data size: 1
In order to change the average load for a reducer (in bytes):
  set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
  set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
  set mapreduce.job.reduces=<number>
Starting Job = job_1475147088438_0009, Tracking URL = http://hadoopwy1:8088/proxy/application_1475147088438_0009/
Kill Command = /usr/local/hadoop2/bin/hadoop job  -kill job_1475147088438_0009
Hadoop job information for Stage-1: number of mappers: 1; number of reducers: 1
2016-09-29 06:44:34,287 Stage-1 map = 0%,  reduce = 0%
2016-09-29 06:45:02,611 Stage-1 map = 100%,  reduce = 0%, Cumulative CPU 2.2 sec
2016-09-29 06:45:18,538 Stage-1 map = 100%,  reduce = 100%, Cumulative CPU 3.85 sec
MapReduce Total cumulative CPU time: 3 seconds 850 msec
Ended Job = job_1475147088438_0009
Loading data to table default.default__salaries_external_index_test__
rmr: DEPRECATED: Please use 'rm -r' instead.
Deleted hdfs://hadoopnodeservice1/user/hive/warehouse/default__salaries_external_index_test__
Table default.default__salaries_external_index_test__ stats: [numFiles=1, numRows=58, totalSize=321107, rawDataSize=321049]
MapReduce Jobs Launched:
Job 0: Map: 1  Reduce: 1   Cumulative CPU: 3.85 sec   HDFS Read: 1354022 HDFS Write: 321214 SUCCESS
Total MapReduce CPU Time Spent: 3 seconds 850 msec
OK
Time taken: 58.187 seconds

删除索引

hive>
    > drop index index_test on salaries_external;
OK
Time taken: 0.188 seconds
hive> show index on salaries_external;
OK
yearindex               salaries_external       yearid                  salaries_external_index compact
Time taken: 0.065 seconds, Fetched: 1 row(s)


转载请注明出处:Hive数据仓库--HiveQL视图和索引


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