Use Tablestore SDK for PHP to delete mapping tables - Tablestore

If you no longer require a mapping table, you can execute the DROP MAPPING TABLE statement to delete the mapping table. You can delete multiple mapping tables in a single request.

Note

For more information about the DROP MAPPING TABLE statement, see Delete mapping tables.

Prerequisites

An OTSClient instance is initialized. For more information, see Initialize an OTSClient instance.
A mapping table is created. For more information, see Create mapping tables.

Usage notes

Tablestore SDK for PHP V5.1.0 or later supports the SQL query feature. Before you use the SQL query feature, make sure that Tablestore SDK for PHP V5.1.0 or later is obtained. For information about the versions of Tablestore SDK for PHP, see Version history of Tablestore SDK for PHP.

Examples

The following sample code provides an example on how to execute the DROP MAPPING TABLE `tableName`; statement to delete the mapping tables that are created for a table named tableName:

$request = array(
    'query' => 'DROP MAPPING TABLE `tableName`;'
);
$response = $otsClient->sqlQuery($request);
print json_encode($sqlRows, JSON_PRETTY_PRINT);

FAQ

How do I troubleshoot common errors of SQL queries?

References

If an attribute column of a data table is changed, you can execute the ALTER TABLE statement to modify the mapping table that is created for the data table. For more information, see Update attribute columns of mapping tables.
If you want to accelerate data queries and computing by executing SQL statements, you can create a secondary index or a search index. For more information, see Index selection policy and Computing pushdown.
You can also use computing engines, such as MaxCompute, Spark, Hive, HadoopMR, Function Compute, Flink, and PrestoDB, to compute and analyze data in tables. For more information, see Overview.
If your business requires multi-dimensional queries and data analysis, you can create a search index and specify the required attribute columns as the fields of the search index. Then, you can query and analyze data by using the search index. For example, you can use a search index to perform queries based on non-primary key columns, Boolean queries, and fuzzy queries. You can also use a search index to obtain the maximum and minimum values, collect statistics about the number of rows, and group query results. For more information, see Search index.