Using a Secondary Index
Scenario
HIndex enables HBase indexing based on specific column values, making the retrieval of data highly efficient and fast.
Constraints
- Column families are separated by semicolons (;).
- Columns and data types must be contained in square brackets ([]).
- The column data type is specified by using -> after the column name.
- If the column data type is not specified, the default data type (string) is used.
- The number sign (#) is used to separate two index details.
- The following is an optional parameter:
-Dscan.caching: number of cached rows when the data table is scanned.
The default value is set to 1000.
Procedure
- Install the HBase client. For details, see Using an HBase Client.
- Go to the client installation directory, for example, /opt/client.
cd /opt/client
- Run the following command to configure environment variables:
source bigdata_env
- If the cluster is in security mode, run the following command to authenticate the user. In normal mode, user authentication is not required.
kinit Component service user
- Run the following command to access HIndex:
hbase org.apache.hadoop.hbase.hindex.mapreduce.TableIndexer
Table 1 Common HIndex commands Description
Command
Add Index
TableIndexer-Dtablename.to.index=table1-Dindexspecs.to.add='IDX1=>cf1:[q1->datatype],[q2],[q3];cf2:[q1->datatype],[q2->datatype]#IDX2=>cf1:[q5]'
Create Index
TableIndexer -Dtablename.to.index=table1 -Dindexnames.to.build='IDX1#IDX2'
Delete Index
TableIndexer -Dtablename.to.index=table1 -Dindexnames.to.drop='IDX1#IDX2'
Disable Index
TableIndexer -Dtablename.to.index=table1 -Dindexnames.to.disable='IDX1#IDX2'
Add and Create Index
TableIndexer -Dtablename.to.index=table1 -Dindexspecs.to.add='IDX1=>cf1:[q1->datatype],[q2],[q3];cf2:[q1->datatype],[q2->datatype]#IDX2=>cf1:[q5]' -Dindexnames.to.build='IDX1'
Create Index for a Single Region
TableIndexer -Dtablename.to.index=table1 -Dregion.to.index=regionEncodedName -Dindexnames.to.build='IDX1#IDX2'
- IDX1: indicates the index name.
- cf1: indicates the column family name.
- q1: indicates the column name.
- datatype: indicates the data type, including String, Integer, Double, Float, Long, Short, Byte and Char.
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