OpenSearch/docs/reference/search/validate.asciidoc
Jason Tedor 4a4e3d70d5
Default to one shard (#30539)
This commit changes the default out-of-the-box configuration for the
number of shards from five to one. We think this will help address a
common problem of oversharding. For users with time-based indices that
need a different default, this can be managed with index templates. For
users with non-time-based indices that find they need to re-shard with
the split API in place they no longer need to resort only to
reindexing.

Since this has the impact of changing the default number of shards used
in REST tests, we want to ensure that we still have coverage for issues
that could arise from multiple shards. As such, we randomize (rarely)
the default number of shards in REST tests to two. This is managed via a
global index template. However, some tests check the templates that are
in the cluster state during the test. Since this template is randomly
there, we need a way for tests to skip adding the template used to set
the number of shards to two. For this we add the default_shards feature
skip. To avoid having to write our docs in a complicated way because
sometimes they might be behind one shard, and sometimes they might be
behind two shards we apply the default_shards feature skip to all docs
tests. That is, these tests will always run with the default number of
shards (one).
2018-05-14 12:22:35 -04:00

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