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ashwinkumar12345 2021-08-04 11:39:04 -07:00
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@ -49,7 +49,7 @@ Parameter | Type | Description
`expand_wildcards` | Enum | Expands wildcard expressions to concrete indices. Combine multiple values with commas. Supported values are `all`, `open`, `closed`, `hidden`, and `none`. Default is `open`.
`ignore_unavailable` | Boolean | If an index from the indices list doesnt exist, whether to ignore it rather than fail the query. Default is `false`.
`max_concurrent_searches` | Integer | Maximum number of searches executed in parallel. Default is `max(1, (number of of data nodes * min(search thread pool size, 10)))`.
`max_concurrent_shard_requests` | Integer | Maximum number of concurrent shard requests that each sub-search request executes per node. Default is 5. If you have an environment where a very low number of concurrent search requests are expected, a higher value of this parameter might improve performance.
`max_concurrent_shard_requests` | Integer | Maximum number of concurrent shard requests that each sub-search request executes per node. Default is 5. If you have an environment where a very low number of concurrent search requests is expected, a higher value of this parameter might improve performance.
`pre_filter_shard_size` | Integer | Defines a threshold that enforces a round-trip to pre-filter search shards that cannot possibly match. This filter phase can limit the number of searched shards significantly. For instance, if a date range filter is applied, then all indices that don't contain documents within that date range are skipped. Default is 128.
`rest_total_hits_as_int` | String | Whether the `hits.total` property is returned as an integer or an object. Default is `false`.
`search_type` | String | Whether global term and document frequencies are used when calculating the relevance score. Valid choices are `query_then_fetch` and `dfs_query_then_fetch`. `query_then_fetch` scores documents using local term and document frequencies for the shard. It's usually faster but less accurate. `dfs_query_then_fetch` scores documents using global term and document frequencies across all shards. It's usually slower but more accurate. Default is `query_then_fetch`.