Use Tablestore SDK for PHP to perform a nested query - Tablestore

You can perform a nested query to query the data in the child rows of nested fields. Nested fields cannot be directly queried. To query a nested field, you must specify the path of the nested field and a subquery in a NestedQuery object. The subquery can be a query of any type.

Prerequisites

An OTSClient instance is initialized. For more information, see Initialize an OTSClient instance.
A data table is created. Data is written to the table.
A search index is created for the data table. For more information, see Create a search index.

Parameters

Parameter	Description
table_name	The name of the data table.
index_name	The name of the search index.
path	The path of the nested field. The nested field uses a tree structure. For example, news.title specifies the title subfield in the nested field called news.
query	The query on the subfield in the nested field. The query can be a query of any type.
score_mode	The value that is used to calculate the score if a field contains multiple values.

Examples

The following sample code provides an example on how to query the rows in which the value of the nested.nested_keyword column is 'sub':

$request = array(
    'table_name' => 'php_sdk_test',
    'index_name' => 'php_sdk_test_search_index',
    'search_query' => array(
        'offset' => 0,
        'limit' => 2,
        'get_total_count' => true,
        'query' => array(
            'query_type' => QueryTypeConst::NESTED_QUERY,
            'score_mode' => ScoreModeConst::SCORE_MODE_AVG,
            'query' => array(
                'path' => "nested",
                'query' => array(
                    'query_type' => QueryTypeConst::TERM_QUERY,
                    'query' => array(
                        'field_name' => 'nested.nested_keyword',
                        'term' => 'sub'
                    )
                )
            )
        ),
        'sort' => array(
            array(
                'field_sort' => array(
                    'field_name' => 'nested.nested_long',
                    'order' => SortOrderConst::SORT_ORDER_DESC,
                    'nested_filter' => array(
                        'path' => "nested",
                        'query' => array(
                            'query_type' => QueryTypeConst::TERM_QUERY,
                            'query' => array(
                                'field_name' => 'nested.nested_keyword',
                                'term' => 'sub'
                            )
                        )
                    )
                )
            ),
        )
    ),
    'columns_to_get' => array(
        'return_type' => ColumnReturnTypeConst::RETURN_SPECIFIED,
        'return_names' => array('nested')
    )
);
$response = $otsClient->search($request);

FAQ

References

When you use a search index to query data, you can use the following query methods: term query, terms query, match all query, match query, match phrase query, prefix query, range query, wildcard query, Boolean query, geo query, nested query, and exists query. You can use different query methods to query data from multiple dimensions based on your business requirements.
If you want to sort or paginate the rows that meet the query conditions, you can use the sorting and paging feature. For more information, see Sorting and paging.
If you want to collapse the result set based on a specific column, you can use the collapse (distinct) feature. This way, data of the specified type appears only once in the query results. For more information, see Collapse (distinct).
If you want to analyze data in a data table, such as obtaining the extreme values, sum, and total number of rows, you can perform aggregation operations or execute SQL statements. For more information, see Aggregation and SQL query.
If you want to quickly obtain all rows that meet the query conditions without the need to sort the rows, you can call the ParallelScan and ComputeSplits operations to use the parallel scan feature. For more information, see Parallel scan.