Use match all query to match every row in a data table — useful for counting total rows or retrieving a random sample.
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 data tables and Write data.
-
A search index is created for the data table. For more information, see Create a search index.
Parameters
|
Parameter |
Description |
|
tableName |
The name of the data table. |
|
indexName |
The name of the search index. |
|
offset |
The starting position of the query. |
|
limit |
The maximum number of rows to return. To return only the row count without data, set this to 0. |
|
query |
The query type. Set to |
|
getTotalCount |
Whether to return the total number of rows that match the query conditions. Default value: Setting this to |
|
columnToGet |
The columns to return for each matched row. Configure using
|
Examples
The following example uses match all query to count the total number of rows in a data table:
/**
* Perform a match all query to get the total row count of a data table.
*/
client.search({
tableName: TABLE_NAME,
indexName: INDEX_NAME,
searchQuery: {
offset: 0,
limit: 10, // Set to 0 to return only the row count without data.
query: {
queryType: TableStore.QueryType.MATCH_ALL_QUERY
},
getTotalCount: true // Set to true to return the total number of matched rows. Default: false.
},
columnToGet: { // RETURN_SPECIFIED: specified columns only; RETURN_ALL: all columns; RETURN_ALL_FROM_INDEX: all columns in the search index; RETURN_NONE: primary key columns only.
returnType: TableStore.ColumnReturnType.RETURN_SPECIFIED,
returnNames: ["Col_1", "Col_2", "Col_3"]
}
}, function (err, data) {
if (err) {
console.log('error:', err);
return;
}
console.log('success:', JSON.stringify(data, null, 2));
});
FAQ
References
The following query types are supported by search indexes: term query, terms query, match all query, match query, match phrase query, prefix query, range query, wildcard query, Boolean query, geo query, nested query, vector query, and exists query. You can select a query type to query data 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.