236 lines
6.1 KiB
Plaintext
236 lines
6.1 KiB
Plaintext
[[search-validate]]
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== Validate API
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The validate API allows a user to validate a potentially expensive query
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without executing it. We'll use the following test data to explain _validate:
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[source,js]
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--------------------------------------------------
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PUT twitter/_bulk?refresh
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{"index":{"_id":1}}
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{"user" : "kimchy", "post_date" : "2009-11-15T14:12:12", "message" : "trying out Elasticsearch"}
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{"index":{"_id":2}}
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{"user" : "kimchi", "post_date" : "2009-11-15T14:12:13", "message" : "My username is similar to @kimchy!"}
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--------------------------------------------------
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// CONSOLE
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// TESTSETUP
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When sent a valid query:
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[source,js]
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--------------------------------------------------
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GET twitter/_validate/query?q=user:foo
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--------------------------------------------------
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// CONSOLE
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The response contains `valid:true`:
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[source,js]
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--------------------------------------------------
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{"valid":true,"_shards":{"total":1,"successful":1,"failed":0}}
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--------------------------------------------------
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// TESTRESPONSE
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[float]
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=== Request Parameters
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When executing exists using the query parameter `q`, the query passed is
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a query string using Lucene query parser. There are additional
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parameters that can be passed:
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[cols="<,<",options="header",]
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|=======================================================================
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|Name |Description
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|`df` |The default field to use when no field prefix is defined within the
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query.
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|`analyzer` |The analyzer name to be used when analyzing the query string.
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|`default_operator` |The default operator to be used, can be `AND` or
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`OR`. Defaults to `OR`.
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|`lenient` |If set to true will cause format based failures (like
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providing text to a numeric field) to be ignored. Defaults to false.
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|`analyze_wildcard` |Should wildcard and prefix queries be analyzed or
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not. Defaults to `false`.
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|=======================================================================
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The query may also be sent in the request body:
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[source,js]
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--------------------------------------------------
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GET twitter/_validate/query
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{
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"query" : {
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"bool" : {
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"must" : {
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"query_string" : {
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"query" : "*:*"
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}
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},
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"filter" : {
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"term" : { "user" : "kimchy" }
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}
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}
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}
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}
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--------------------------------------------------
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// CONSOLE
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NOTE: The query being sent in the body must be nested in a `query` key, same as
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the <<search-search,search api>> works
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If the query is invalid, `valid` will be `false`. Here the query is
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invalid because Elasticsearch knows the post_date field should be a date
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due to dynamic mapping, and 'foo' does not correctly parse into a date:
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[source,js]
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--------------------------------------------------
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GET twitter/_validate/query
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{
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"query": {
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"query_string": {
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"query": "post_date:foo",
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"lenient": false
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}
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}
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}
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--------------------------------------------------
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// CONSOLE
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[source,js]
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--------------------------------------------------
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{"valid":false,"_shards":{"total":1,"successful":1,"failed":0}}
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--------------------------------------------------
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// TESTRESPONSE
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An `explain` parameter can be specified to get more detailed information
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about why a query failed:
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[source,js]
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--------------------------------------------------
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GET twitter/_validate/query?explain=true
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{
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"query": {
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"query_string": {
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"query": "post_date:foo",
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"lenient": false
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}
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}
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}
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--------------------------------------------------
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// CONSOLE
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responds with:
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[source,js]
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--------------------------------------------------
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{
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"valid" : false,
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"_shards" : {
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"total" : 1,
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"successful" : 1,
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"failed" : 0
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},
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"explanations" : [ {
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"index" : "twitter",
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"valid" : false,
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"error" : "twitter/IAEc2nIXSSunQA_suI0MLw] QueryShardException[failed to create query:...failed to parse date field [foo]"
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} ]
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}
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--------------------------------------------------
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// TESTRESPONSE[s/"error" : "[^\"]+"/"error": "$body.explanations.0.error"/]
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When the query is valid, the explanation defaults to the string
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representation of that query. With `rewrite` set to `true`, the explanation
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is more detailed showing the actual Lucene query that will be executed.
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For More Like This:
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[source,js]
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--------------------------------------------------
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GET twitter/_validate/query?rewrite=true
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{
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"query": {
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"more_like_this": {
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"like": {
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"_id": "2"
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},
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"boost_terms": 1
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}
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}
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}
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--------------------------------------------------
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// CONSOLE
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// TEST[skip:the output is randomized depending on which shard we hit]
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Response:
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[source,js]
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--------------------------------------------------
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{
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"valid": true,
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"_shards": {
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"total": 1,
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"successful": 1,
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"failed": 0
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},
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"explanations": [
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{
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"index": "twitter",
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"valid": true,
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"explanation": "((user:terminator^3.71334 plot:future^2.763601 plot:human^2.8415773 plot:sarah^3.4193945 plot:kyle^3.8244398 plot:cyborg^3.9177752 plot:connor^4.040236 plot:reese^4.7133346 ... )~6) -ConstantScore(_id:2)) #(ConstantScore(_type:_doc))^0.0"
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}
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]
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}
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--------------------------------------------------
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// TESTRESPONSE
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By default, the request is executed on a single shard only, which is randomly
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selected. The detailed explanation of the query may depend on which shard is
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being hit, and therefore may vary from one request to another. So, in case of
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query rewrite the `all_shards` parameter should be used to get response from
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all available shards.
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For Fuzzy Queries:
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[source,js]
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--------------------------------------------------
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GET twitter/_validate/query?rewrite=true&all_shards=true
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{
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"query": {
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"match": {
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"user": {
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"query": "kimchy",
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"fuzziness": "auto"
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}
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}
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}
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}
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--------------------------------------------------
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// CONSOLE
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Response:
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[source,js]
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--------------------------------------------------
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{
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"valid": true,
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"_shards": {
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"total": 1,
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"successful": 1,
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"failed": 0
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},
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"explanations": [
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{
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"index": "twitter",
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"shard": 0,
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"valid": true,
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"explanation": "(user:kimchi)^0.8333333 user:kimchy"
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}
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]
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}
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--------------------------------------------------
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// TESTRESPONSE
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