Hive integrates HBase

Ke Guang 2021-01-20 22:47:14
hive integrates hbase

HBase Although it can store hundreds of millions or billions of rows of data , But for data analysis , Not very friendly , Only simple based on Key Fast query ability of value , Can't do a lot of conditional queries . existing hbase There are many query tools like :Hive,Tez,Impala,Shark/Spark,Phoenix etc. . Today is mainly about Hive,Hive Conveniently provided Hive QL Interface to simplify MapReduce Use , and HBase Provides low latency database access . If the two combine , You can use MapReduce The advantage of is to HBase A lot of stored content is calculated and analyzed offline .

Hive and HBase The principle of communication

Hive And HBase The realization of integration is to make use of both of them API Interfaces communicate with each other , This kind of communication is through $HIVE_HOME/lib/hive-hbase-handler-{hive.version}.jar Implemented by tool class . adopt HBaseStorageHandler,Hive Can be obtained Hive The table corresponds to HBase Table name , Column clusters and columns ,InputFormat、OutputFormat class , Create and delete HBase Table, etc .Hive visit HBase Middle table data , It's essentially through MapReduce Read HBase Table data , Its implementation is in MR in , Use HiveHBaseTableInputFormat Finish right HBase Table segmentation , obtain RecordReader Object to read data . Yes HBase The principle of table segmentation is Region Cut into one Split, That is, how many in the table Regions,MR How many of them Map; Read HBase Table data is built by Scanner, Scan the whole table , If there are filter conditions , It's translated into Filter. When the filter condition is rowkey when , It turns into right rowkey The filter ;Scanner adopt RPC call RegionServer Of next() To get data ;

The basic communication principle is as follows :


Specific steps

newly build hbase surface :

create 'test', 'f1'

insert data :

put 'test','1','f1:c1','name1'
put 'test','1','f1:c2','name2'
put 'test','2','f1:c1','name1'
put 'test','2','f1:c2','name2'
put 'test','3','f1:c1','name1'
put 'test','3','f1:c2','name2'

here hbase There's a column cluster f1, There are two columns c1 and c2, newly build hive Table correlation hbase These two columns of :

SET hbase.zookeeper.quorum=zkNode1,zkNode2,zkNode3;
SET zookeeper.znode.parent=/hbase;
ADD jar hive-hbase-handler-{hive.version}.jar;
rowkey string,
c1 string,
c2 string
) STORED BY 'org.apache.hadoop.hive.hbase.HBaseStorageHandler'
WITH SERDEPROPERTIES ("hbase.columns.mapping" = ":key,f1:c1,f1:c2")
TBLPROPERTIES ("" = "test");

Use here External table Mapping to HBase In the table ,hive Corresponding hdfs The directory is empty , The data is still hbase in , In this way Hive Delete table , It doesn't delete HBase In the table , otherwise , Will be deleted .

in addition , except rowkey, The other three fields use Map Structure to save HBase Every column family in .

among , The parameters are explained as follows :

  • hbase.zookeeper.quorum:

Appoint HBase The use of zookeeper colony , The default port is 2181, You don't specify , If specified , The format is zkNode1:2222,zkNode2:2222,zkNode3:2222

  • zookeeper.znode.parent

Appoint HBase stay zookeeper The root directory used in

  • hbase.columns.mapping

Hive Table and HBase The fields of the table are mapped one by one , Respectively :Hive The first field mapping in the table :key(rowkey), The second field maps the column family f1:c1, The third field maps the column family :f1:c2.


HBase The name of the middle watch

You can also directly Hive While creating a table in , Completed in HBase Create a table .

stay hive Query in hbase surface :

hive> select * from test.test;
1 name1 name2
2 name1 name2
3 name1 name2

You can also insert data :

insert into test.test select '4', 'name4', 'name4';

see hbase The data of :

hive> select * from test.test;
1 name1 name2
2 name1 name2
3 name1 name2
4 name4 name4

Spark Read the lifting speed

hive relation hbase Actually, the bottom is MR, Slower , You can use spark Read hive surface , Query operation , To visit hbase data .

Official account :Java Big data and data warehouse , Collect information , Learn big data technology .

本文为[Ke Guang]所创,转载请带上原文链接,感谢

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