You can use term query to query data that exactly matches the specified value of a field. Term query is similar to queries based on string match conditions. If the type of a field is TEXT, Tablestore tokenizes the string and exactly matches tokens.

Prerequisites

  • A Tablestore client is initialized. For more information, see Initialization.
  • 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 search indexes.

Parameters

Parameter Description
tableName The name of the data table.
indexName The name of the search index.
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 returning specific data, you can set limit to 0. This way, Tablestore returns the number of rows that meet the query conditions without specific data from the table.

queryType The query type. To use term query, set this parameter to TableStore.QueryType.TERM_QUERY.
fieldName The name of the field that you want to match.
term The keyword that is used to match the column values when you perform a match phrase query.

This word is not tokenized. Instead, the entire word is used to match the field values.

If the type of a field is TEXT, Tablestore tokenizes the string and exactly matches tokens. For example, TEXT string "tablestore is cool" is tokenized into "tablestore", "is", and "cool". When you specify one of these tokens as a search string, you can retrieve query results that contain "tablestore is cool".

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.

columnToGet Specifies whether to return all columns of each row that meets the query conditions. You can configure returnType and returnNames for this parameter.
  • If you set returnType to TableStore.ColumnReturnType.RETURN_SPECIFIED, you need to configure returnNames to specify the columns that you want to return.
  • If you set the returnType parameter to TableStore.ColumnReturnType.RETURN_ALL, all columns are returned.
  • If you set the returnType parameter to TableStore.ColumnReturnType.RETURN_ALL_FROM_INDEX, all columns in the search index are returned. .
  • If you set the returnType parameter to TableStore.ColumnReturnType.RETURN_NONE, only the primary key columns are returned.

Examples

/**
 * Search the table for rows in which the value of Col_Keyword exactly matches "hangzhou". 
 */
client.search({
    tableName: TABLE_NAME,
    indexName: INDEX_NAME,
    searchQuery: {
        offset: 0,
        limit: 10, // To query only the number of rows that meet the query conditions without returning specific data, you can set limit to 0. This way, Tablestore returns the number of rows that meet the query conditions without specific data from the table. 
        query: { // Set the query type to TableStore.QueryType.TERM_QUERY. 
            queryType: TableStore.QueryType.TERM_QUERY,
            query: {
                fieldName: "Col_Keyword",
                term: "hangzhou"
            }
        },
        getTotalCount: true // Specify whether to return the total number of rows that meet the query conditions. The default value of this parameter is false, which indicates that the total number of rows that meet the query conditions is not returned. 
    },
    columnToGet: { // Specify the columns that you want to return. You can configure the RETURN_SPECIFIED parameter to return specified columns, the RETURN_ALL parameter to return all columns, the RETURN_ALL_FROM_INDEX parameter to return all columns in the search index, or the RETURN_NONE parameter to return only the primary key columns. 
        returnType: TableStore.ColumnReturnType.RETURN_ALL
    }
}, function (err, data) {
    if (err) {
        console.log('error:', err);
        return;
    }
    console.log('success:', JSON.stringify(data, null, 2));
});