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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
cancel_after_time_interval Time The time after which the search request will be canceled. Supported at both parent and child request levels. The order of precedence is:
1. Child-level parameter
2. Parent-level parameter
3. Cluster setting.
Default is -1.
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
    }
  ]
}