You can perform a suffix query to query data in a search index by specifying suffix conditions. For example, you can query packages based on the last four digits of a mobile phone number.
Feature overview
You can use suffix query to query data that ends with specific suffixes. When you use suffix query to query data, you must specify suffix conditions.
You can perform a suffix query to query data only of the FuzzyKeyword type. FuzzyKeyword is a data type that is optimized for features, such as suffix query, prefix query, and wildcard query. The FuzzyKeyword type provides good and stable query performance regardless of the data size. The query performance does not decline when the size of data increases.
If you want to query data of the Keyword type based on suffix conditions, you can reverse data when you write the data and then use prefix query to query data.
API operation
You can call the Search or ParallelScan operation and set the query type to SuffixQuery to perform a suffix query.
Parameters
Parameter | Description |
query | The type of the query. Set this parameter to SuffixQuery. |
fieldName | The name of the field that you want to match. |
suffix | The suffix. |
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 configure the returnAll and columns fields for this 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. |
Methods
You can use the Tablestore console or Tablestore SDKs to perform a suffix query. Before you perform a suffix query, make sure that the following preparations are made:
A RAM user is created and permissions to perform operations on Tablestore are granted to the RAM user. For more information, see Use the AccessKey pair of a RAM user to access Tablestore.
A data table is created. For more information, see Operations on a data table.
A search index is created for the data table. For more information, see Create a search index.
Billing rules
When you use a search index to query data, you are charged for the read throughput that is consumed. For more information, see Billable items of search indexes.
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, fuzzy query, Boolean query, geo query, nested query, KNN vector query, and exists query. You can select query methods based on your business requirements to query data from multiple dimensions.
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 data table, you can use the aggregation feature of the Search operation or execute SQL statements. For example, you can obtain the minimum and maximum values, sum, and total 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.