Restrictions on Global Secondary Indexes

Application Scenario Restrictions

GSI cannot be used together with HIndex. That is, local indexes and global indexes cannot be created in the same data table at the same time.
Index tables do not support DR.
Rolling upgrade is not supported for index data.
DISABLE, DROP, MODIFY, and TRUNCATE cannot be directly performed on index tables.
DDL operations on indexes allow you to modify index status, delete indexes, and create indexes. Index definitions cannot be modified. To modify index definitions, delete them and create indexes again.

Constraints on Index Creation

The index name must comply with the regular expression requirements and does not support other characters. The regular expression must support the following characters: [a-zA-Z_0-9-.]:
The data table must exist. The index to be created cannot exist.
The index table does not support multiple versions.
Indexes cannot be created on data tables with multiple versions (VERSION>1), and the version of the index table is 1.
The number of indexes in a single data table cannot exceed 5.
You are not advised to create too many indexes for a single data table. If there are too many indexes, the storage cost is high and the write time is long. If more than five indexes need to be created, add the hbase.gsi.max.index.count.per.table parameter to the customized configuration hbase.hmaster.config.expandor of HMaster and set the parameter to a value greater than 5. Restart HMaster for the configuration to take effect.

The index name can contain a maximum of 18 characters.
You are not advised to use an excessively long index name. To create a long index name, add the hbase.gsi.max.index.name.length parameter to the customized configuration hbase.hmaster.config.expandor of HMaster, set the parameter to a value greater than 18, and restart HMaster for the configuration to take effect.
Indexes cannot be created for index tables.
Multiple indexes cannot be created in nested mode. Index tables are used only to accelerate query and do not provide data table functions.
Indexes that can be overwritten by existing indexes cannot be created.
When you create an index, if the existing index can completely overwrite the new index (that is, the created index is a subset of the existing index), the index cannot be created. Indexes with duplicate functions cause storage waste. For example, index 2 cannot be created if you perform the following operations:

Create a data table: create't1','cf1'

Create index 1: hbase org.apache.hadoop.hbase.hindex.global.mapreduce.GlobalTableIndexer -Dtablename.to.index='t1' -Dindexspecs.to.add='idx1=>cf1:[q1],[q2]'.

Create index 2: hbase org.apache.hadoop.hbase.hindex.global.mapreduce.GlobalTableIndexer -Dtablename.to.index='t1' -Dindexspecs.to.add='idx2=>cf1:[q1]'.
Indexes with the same name cannot be created in the same data table. Indexes with the same name can be created in different data tables.
The TTL of the index table column family is inherited from the original table. The TTL of the index column family must be the same.
The TTLs of all column families in an index table are the same and are inherited from a data table. The TTLs of related column families in the data table must be the same. Otherwise, related indexes cannot be created.
Other attributes of the user-defined index table are not supported.

Constraints on Writing Indexes

Only the Put/Delete interface can be used to generate index data. When data is written to a data table in other modes (such as Increment, Append, and Bulkload), the corresponding index is not generated.
When the index column data is defined as the string type, do not write the special characters \x00 and \x01 (special invisible characters).
Do not write data to index columns by specifying timestamps.

Constraints on Index Query

The index status must be ACTIVE during index query.
The index query does not support the query by specifying the timestamp range. If you need to query data within the time range by index, add a time column to store the timestamp of the data. Otherwise, the data table will be used for query.