You can use match query (MatchQuery) to query data in a table based on approximate matches. Tablestore tokenizes the values in TEXT columns and the keywords that you use to perform match queries based on the analyzer type that you specify. This way, Tablestore can perform match queries based on the tokens. We recommend that you use match phase query for columns for which fuzzy tokenization is used to ensure high performance in fuzzy queries.
Prerequisites
An OTSClient instance is initialized. For more information, see Initialize an OTSClient instance.
A data table is created and data is written to the data table. For more information, see Create a data table and Write data.
A search index is created for the data table. For more information, see Create a search index.
Parameters
Parameter | Description |
fieldName | The name of the field that you want to match. Match query applies to TEXT fields. |
text | The keyword that is used to match the value of the field when you perform a match query. If the field that you want to match is a TEXT field, the keyword is tokenized into multiple tokens based on the analyzer type that you specify when you create the search index. If you do not specify the analyzer type when you create the search index, single-word tokenization is performed. For example, if the field that you want to match is a TEXT field, you set the analyzer type to single-word tokenization, and you use "this is" as a search keyword, you can obtain query results such as "..., this is tablestore", "is this tablestore", "tablestore is cool", "this", and "is". |
query | The type of the query. Set the query parameter to matchQuery. |
offset | The position from which the current query starts. |
limit | The maximum number of rows that you want the current query to return. To query only the number of rows that meet the query conditions without specific data, set the limit parameter to 0. |
minimumShouldMatch | The minimum number of matched tokens contained in the value of the field. A row is returned only if the value of the field specified by the fieldName parameter in the row contains at least the minimum number of matched tokens. Note You must use the minimumShouldMatch parameter together with the OR logical operator. |
operator | The logical operator. By default, OR is used as the logical operator, which specifies that a row meets the query conditions when the column value contains at least the minimum number of matched tokens. If you set the operator parameter to AND, the row meets the query conditions only if the column value contains all matched tokens. |
getTotalCount | Specifies whether to return the total number of rows that meet the query conditions. The default value of this parameter is false, which specifies that the total number of rows that meet the query conditions is not returned. If you set this parameter to true, the query performance is compromised. |
weight | The weight that you want to assign to the field that you want to query to calculate the BM25-based keyword relevance score. This parameter is used in full-text search scenarios. If you specify a higher weight for the field that you want to query, the BM25-based keyword relevance score for the field is higher. The value of this parameter is a positive floating point number. This parameter does not affect the number of rows that are returned. However, this parameter affects the BM25-based keyword relevance scores of the query results. |
tableName | The name of the data table. |
indexName | The name of the search index. |
columnsToGet | Specifies whether to return all columns of each row that meets the query conditions. You can specify the returnAll and columns fields for the columnsToGet parameter. The default value of the returnAll field is false, which specifies that not all columns are returned. In this case, you can use the columns field to specify the columns that you want to return. If you do not specify the columns that you want to return, only the primary key columns are returned. If you set the returnAll field to true, all columns are returned. |
Sample code
The following sample code provides an example on how to query the rows in which the value of the Col_Keyword column matches "hangzhou" in a table:
/**
* Query the rows in which the value of the Col_Keyword column matches "hangzhou" in a table. Tablestore returns the total number of rows that meet the query conditions and the specific data of some of these rows.
* @param client
*/
private static void matchQuery(SyncClient client) {
SearchQuery searchQuery = new SearchQuery();
MatchQuery matchQuery = new MatchQuery(); // Set the query type to MatchQuery.
matchQuery.setFieldName("Col_Keyword"); // Specify the name of the column that you want to query.
matchQuery.setText("hangzhou"); // Specify the keyword that you want to match.
searchQuery.setQuery(matchQuery);
searchQuery.setOffset(0); // Set offset to 0.
searchQuery.setLimit(20); // Set limit to 20 to return up to 20 rows.
//searchQuery.setGetTotalCount(true); // Specify that the total number of matched rows is returned.
SearchRequest searchRequest = new SearchRequest("<TABLE_NAME>", "<SEARCH_INDEX_NAME>", searchQuery);
// You can configure the columnsToGet parameter to specify the columns to return or specify that all columns are returned. If you do not configure this parameter, only the primary key columns are returned.
//SearchRequest.ColumnsToGet columnsToGet = new SearchRequest.ColumnsToGet();
//columnsToGet.setReturnAll(true); // Specify that all columns are returned.
//columnsToGet.setColumns(Arrays.asList("ColName1","ColName2")); // Specify the columns that you want to return.
//searchRequest.setColumnsToGet(columnsToGet);
SearchResponse resp = client.search(searchRequest);
//System.out.println("TotalCount: " + resp.getTotalCount()); // Specify that the total number of matched rows instead of the number of returned rows is displayed.
System.out.println("Row: " + resp.getRows());
}
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, geo query, KNN vector query, Boolean query, nested query, and exists query. After you create a search index, you can use the query methods provided by the search index to query data from multiple dimensions based on your business requirements.
You can sort or paginate rows that meet the query conditions by using the sorting and paging features. For more information, see Perform sorting and paging.
You can use the collapse (distinct) feature to collapse the result set based on a specific column. 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 table, you can call the Search operation to use the aggregation feature or use the SQL query feature. For example, you can query the maximum and minimum values, the sum of the values, and the number of rows. For more information, see Aggregation and SQL query.
If you want to 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.