TermQuery specifies the configurations of a term query. You can use the term query feature to query data that exactly matches the specified value of a field. A term query is similar to queries based on string match conditions. If the field used to match the prefix is a TEXT field, the field values are tokenized. A row meets the query conditions when at least one token contains the specified prefix.
Data structure
message TermQuery {
optional string field_name = 1;
optional bytes term = 2;
optional float weight = 3;
}Parameter | Type | Required | Description |
field_name | string | Yes | The name of the attribute column. |
term | bytes | Yes | The keyword that is used to match the field values when you perform a term query. The value must be encoded by using PlainBuffer. For more information, see PlainBuffer. This word is not tokenized but used as an entire word. If the field used to match the prefix is a TEXT field, the field values are tokenized. A row meets the query conditions when at least one token contains the specified prefix. For example, if the value of a column of the TEXT type in a row is tablestore is cool, the value can be tokenized into tablestore, is, and cool. The row meets the query conditions when you specify tablestore, is, or cool as the keyword to match the values of the column. |
weight | float | No | The weight configurations of the query condition. |