Multi-search

Multi-search

Introduced 1.0

As the name suggests, the multi-search operation lets you bundle multiple search requests into a single request. OpenSearch then executes the searches in parallel, so you get back the response more quickly compared to sending one request per search. OpenSearch executes each search independently, so the failure of one doesn’t affect the others.

Example

GET _msearch
{ "index": "opensearch_dashboards_sample_data_logs"}
{ "query": { "match_all": {} }, "from": 0, "size": 10}
{ "index": "opensearch_dashboards_sample_data_ecommerce", "search_type": "dfs_query_then_fetch"}
{ "query": { "match_all": {} } }

Path and HTTP methods

GET _msearch
GET <indices>/_msearch
POST _msearch
POST <indices>/_msearch

Request body

The multi-search request body follows this pattern:

Metadata\n
Query\n
Metadata\n
Query\n

Metadata lines include options, such as which indices to search and the type of search.
Query lines use the query DSL.

Just like the bulk operation, the JSON doesn’t need to be minified—spaces are fine—but it does need to be on a single line. OpenSearch uses newline characters to parse multi-search requests and requires that the request body end with a newline character.

URL parameters and metadata options

All multi-search URL parameters are optional. Some can also be applied per-search as part of each metadata line.

Parameter	Type	Description	Supported in metadata line
allow_no_indices	Boolean	Whether to ignore wildcards that don’t match any indices. Default is `true`.	Yes
css_minimize_roundtrips	Boolean	Whether OpenSearch should try to minimize the number of network round trips between the coordinating node and remote clusters (only applicable to cross-cluster search requests). Default is `true`.	No
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`.	Yes
ignore_unavailable	Boolean	If an index from the indices list doesn’t exist, whether to ignore it rather than fail the query. Default is `false`.	Yes
max_concurrent_searches	Integer	The maximum number of concurrent searches. The default depends on your node count and search thread pool size. Higher values can improve performance, but risk overloading the cluster.	No
max_concurrent_shard_requests	Integer	Maximum number of concurrent shard requests that each search executes per node. Default is 5. Higher values can improve performance, but risk overloading the cluster.	No
pre_filter_shard_size	Integer	Default is 128.	No
rest_total_hits_as_int	String	Whether the `hits.total` property is returned as an integer (`true`) or an object (`false`). Default is `false`.	No
search_type	String	Affects relevance score. Valid options are `query_then_fetch` and `dfs_query_then_fetch`. `query_then_fetch` scores documents using term and document frequencies for the shard (faster, less accurate), whereas `dfs_query_then_fetch` uses term and document frequencies across all shards (slower, more accurate). Default is `query_then_fetch`.	Yes
typed_keys	Boolean	Whether to prefix aggregation names with their internal types in the response. Default is `false`.	No

Metadata-only options

Some options can’t be applied as URL parameters to the entire request. Instead, you can apply them per-search as part of each metadata line. All are optional.

Option	Type	Description
index	String, string array	If you don’t specify an index or multiple indices as part of the URL (or want to override the URL value for an individual search), you can include it here. Examples include `“logs-*”` and `[“my-store”, “sample_data_ecommerce”]`.
preference	String	The nodes or shards that you’d like to perform the search. This setting can be useful for testing, but in most situations, the default behavior provides the best search latencies. Options include `_local`, `_only_local`, `_prefer_nodes`, `_only_nodes`, and `_shards`. These last three options accept a list of nodes or shards. Examples include `“_only_nodes:data-node1,data-node2”` and `“_shards:0,1`.
request_cache	Boolean	Whether to cache results, which can improve latency for repeat searches. Default is to use the `index.requests.cache.enable` setting for the index (which defaults to `true` for new indices).
routing	String	Comma-separated custom routing values (e.g. `“routing”: “value1,value2,value3”`.

Response

OpenSearch returns an array with the results of each search in the same order as the multi-search request.

{
  "took" : 2150,
  "responses" : [
    {
      "took" : 2149,
      "timed_out" : false,
      "_shards" : {
        "total" : 1,
        "successful" : 1,
        "skipped" : 0,
        "failed" : 0
      },
      "hits" : {
        "total" : {
          "value" : 10000,
          "relation" : "gte"
        },
        "max_score" : 1.0,
        "hits" : [
          {
            "_index" : "opensearch_dashboards_sample_data_logs",
            "_id" : "_fnhBXsBgv2Zxgu9dZ8Y",
            "_score" : 1.0,
            "_source" : {
              "agent" : "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 1.1.4322)",
              "bytes" : 4657,
              "clientip" : "213.116.129.196",
              "extension" : "zip",
              "geo" : {
                "srcdest" : "CN:US",
                "src" : "CN",
                "dest" : "US",
                "coordinates" : {
                  "lat" : 42.35083333,
                  "lon" : -86.25613889
                }
              },
              "host" : "artifacts.opensearch.org",
              "index" : "opensearch_dashboards_sample_data_logs",
              "ip" : "213.116.129.196",
              "machine" : {
                "ram" : 16106127360,
                "os" : "ios"
              },
              "memory" : null,
              "message" : "213.116.129.196 - - [2018-07-30T14:12:11.387Z] \"GET /opensearch_dashboards/opensearch_dashboards-1.0.0-windows-x86_64.zip HTTP/1.1\" 200 4657 \"-\" \"Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 1.1.4322)\"",
              "phpmemory" : null,
              "referer" : "http://twitter.com/success/ellison-onizuka",
              "request" : "/opensearch_dashboards/opensearch_dashboards-1.0.0-windows-x86_64.zip",
              "response" : 200,
              "tags" : [
                "success",
                "info"
              ],
              "timestamp" : "2021-08-02T14:12:11.387Z",
              "url" : "https://artifacts.opensearch.org/downloads/opensearch_dashboards/opensearch_dashboards-1.0.0-windows-x86_64.zip",
              "utc_time" : "2021-08-02T14:12:11.387Z",
              "event" : {
                "dataset" : "sample_web_logs"
              }
            }
          },
          ...
        ]
      },
      "status" : 200
    },
    {
      "took" : 1473,
      "timed_out" : false,
      "_shards" : {
        "total" : 1,
        "successful" : 1,
        "skipped" : 0,
        "failed" : 0
      },
      "hits" : {
        "total" : {
          "value" : 4675,
          "relation" : "eq"
        },
        "max_score" : 1.0,
        "hits" : [
          {
            "_index" : "opensearch_dashboards_sample_data_ecommerce",
            "_id" : "efnhBXsBgv2Zxgu9ap7e",
            "_score" : 1.0,
            "_source" : {
              "category" : [
                "Women's Clothing"
              ],
              "currency" : "EUR",
              "customer_first_name" : "Gwen",
              "customer_full_name" : "Gwen Dennis",
              "customer_gender" : "FEMALE",
              "customer_id" : 26,
              "customer_last_name" : "Dennis",
              "customer_phone" : "",
              "day_of_week" : "Tuesday",
              "day_of_week_i" : 1,
              "email" : "gwen@dennis-family.zzz",
              "manufacturer" : [
                "Tigress Enterprises",
                "Gnomehouse mom"
              ],
              "order_date" : "2021-08-10T16:24:58+00:00",
              "order_id" : 576942,
              "products" : [
                {
                  "base_price" : 32.99,
                  "discount_percentage" : 0,
                  "quantity" : 1,
                  "manufacturer" : "Tigress Enterprises",
                  "tax_amount" : 0,
                  "product_id" : 22182,
                  "category" : "Women's Clothing",
                  "sku" : "ZO0036600366",
                  "taxless_price" : 32.99,
                  "unit_discount_amount" : 0,
                  "min_price" : 14.85,
                  "_id" : "sold_product_576942_22182",
                  "discount_amount" : 0,
                  "created_on" : "2016-12-20T16:24:58+00:00",
                  "product_name" : "Jersey dress - black/red",
                  "price" : 32.99,
                  "taxful_price" : 32.99,
                  "base_unit_price" : 32.99
                },
                {
                  "base_price" : 28.99,
                  "discount_percentage" : 0,
                  "quantity" : 1,
                  "manufacturer" : "Gnomehouse mom",
                  "tax_amount" : 0,
                  "product_id" : 14230,
                  "category" : "Women's Clothing",
                  "sku" : "ZO0234902349",
                  "taxless_price" : 28.99,
                  "unit_discount_amount" : 0,
                  "min_price" : 13.05,
                  "_id" : "sold_product_576942_14230",
                  "discount_amount" : 0,
                  "created_on" : "2016-12-20T16:24:58+00:00",
                  "product_name" : "Blouse - june bug",
                  "price" : 28.99,
                  "taxful_price" : 28.99,
                  "base_unit_price" : 28.99
                }
              ],
              "sku" : [
                "ZO0036600366",
                "ZO0234902349"
              ],
              "taxful_total_price" : 61.98,
              "taxless_total_price" : 61.98,
              "total_quantity" : 2,
              "total_unique_products" : 2,
              "type" : "order",
              "user" : "gwen",
              "geoip" : {
                "country_iso_code" : "US",
                "location" : {
                  "lon" : -118.2,
                  "lat" : 34.1
                },
                "region_name" : "California",
                "continent_name" : "North America",
                "city_name" : "Los Angeles"
              },
              "event" : {
                "dataset" : "sample_ecommerce"
              }
            }
          },
         ...
        ]
      },
      "status" : 200
    }
  ]
}