Provided by: libsearch-elasticsearch-client-1-0-perl_6.81-2_all 
NAME
Search::Elasticsearch::Client::1_0::Direct - Thin client with full support for Elasticsearch 1.x APIs
VERSION
version 6.81
SYNOPSIS
Create a client:
use Search::Elasticsearch;
my $e = Search::Elasticsearch->new(
client => '1_0::Direct'
);
Index a doc:
$e->index(
index => 'my_index',
type => 'blog_post',
id => 123,
body => {
title => "Elasticsearch clients",
content => "Interesting content...",
date => "2013-09-23"
}
);
Get a doc:
$e->get(
index => 'my_index',
type => 'my_type',
id => 123
);
Search for docs:
$results = $e->search(
index => 'my_index',
body => {
query => {
match => {
title => "elasticsearch"
}
}
}
);
Index-level requests:
$e->indices->create( index => 'my_index' );
$e->indices->delete( index => 'my_index' )
Cluster-level requests:
$health = $e->cluster->health;
Node-level requests:
$info = $e->nodes->info;
$stats = $e->nodes->stats;
Snapshot and restore:
$e->snapshot->create_repository(
repository => 'my_backups',
type => 'fs',
settings => {
location => '/mnt/backups'
}
);
$e->snapshot->create(
repository => 'my_backups',
snapshot => 'backup_2014'
);
`cat` debugging:
say $e->cat->allocation;
say $e->cat->health;
DESCRIPTION
The Search::Elasticsearch::Client::1_0::Direct class provides the Elasticsearch 1.x compatible client
that is returned by:
$e = Search::Elasticsearch->new( cxn => '1_0::Direct' );
It is intended to be as close as possible to the native REST API that Elasticsearch uses, so that it is
easy to translate the Elasticsearch reference documentation <http://www.elasticsearch/guide> for an API
to the equivalent in this client.
This class provides the methods for document CRUD, bulk document CRUD and search. It also provides
access to clients for managing indices and the cluster.
CONVENTIONS
Parameter passing
Parameters can be passed to any request method as a list or as a hash reference. The following two
statements are equivalent:
$e->search( size => 10 );
$e->search({size => 10});
Path parameters
Any values that should be included in the URL path, eg "/{index}/{type}" should be passed as top level
parameters:
$e->search( index => 'my_index', type => 'my_type' );
Alternatively, you can specify a "path" parameter directly:
$e->search( path => '/my_index/my_type' );
Query-string parameters
Any values that should be included in the query string should be passed as top level parameters:
$e->search( size => 10 );
If you pass in a "\%params" hash, then it will be included in the query string parameters without any
error checking. The following:
$e->search( size => 10, params => { from => 5, size => 5 })
would result in this query string:
?from=5&size=10
Body parameter
The request body should be passed in the "body" key:
$e->search(
body => {
query => {...}
}
);
The body can also be a UTF8-decoded string, which will be converted into UTF-8 bytes and passed as is:
$e->indices->analyze( body => "The quick brown fox");
Filter path parameter
Any API which returns a JSON body accepts a "filter_path" parameter which will filter the JSON down to
only the specified paths. For instance, if you are running a search request and only want the "total"
hits and the "_source" field for each hit (without the "_id", "_index" etc), you can do:
$e->search(
query => {...},
filter_path => [ 'hits.total', 'hits.hits._source' ]
);
This parameter was added in Elasticsearch 1.6.0.
Ignore parameter
Normally, any HTTP status code outside the 200-299 range will result in an error being thrown. To
suppress these errors, you can specify which status codes to ignore in the "ignore" parameter.
$e->indices->delete(
index => 'my_index',
ignore => 404
);
This is most useful for Missing errors, which are triggered by a 404 status code when some requested
resource does not exist.
Multiple error codes can be specified with an array:
$e->indices->delete(
index => 'my_index',
ignore => [404,409]
);
CONFIGURATION
"bulk_helper_class"
The class to use for the "bulk_helper()" method. Defaults to Search::Elasticsearch::Client::1_0::Bulk.
"scroll_helper_class"
The class to use for the "scroll_helper()" method. Defaults to Search::Elasticsearch::Scroll.
GENERAL METHODS
"info()"
$info = $e->info
Returns information about the version of Elasticsearch that the responding node is running.
"ping()"
$e->ping
Pings a node in the cluster and returns 1 if it receives a 200 response, otherwise it throws an error.
"indices()"
$indices_client = $e->indices;
Returns an Search::Elasticsearch::Client::1_0::Direct::Indices object which can be used for managing
indices, eg creating, deleting indices, managing mapping, index settings etc.
"cluster()"
$cluster_client = $e->cluster;
Returns an Search::Elasticsearch::Client::1_0::Direct::Cluster object which can be used for managing the
cluster, eg cluster-wide settings and cluster health.
"nodes()"
$node_client = $e->nodes;
Returns an Search::Elasticsearch::Client::1_0::Direct::Nodes object which can be used to retrieve node
info and stats.
"snapshot()"
$snapshot_client = $e->snapshot;
Returns an Search::Elasticsearch::Client::1_0::Direct::Snapshot object which is used for managing backup
repositories and creating and restoring snapshots.
"cat()"
$cat_client = $e->cat;
Returns an Search::Elasticsearch::Client::1_0::Direct::Cat object which can be used to retrieve simple to
read text info for debugging and monitoring an Elasticsearch cluster.
DOCUMENT CRUD METHODS
These methods allow you to perform create, index, update and delete requests for single documents:
"index()"
$response = $e->index(
index => 'index_name', # required
type => 'type_name', # required
id => 'doc_id', # optional, otherwise auto-generated
body => { document } # required
);
The "index()" method is used to index a new document or to reindex an existing document.
Query string parameters:
"consistency",
"op_type",
"parent",
"refresh",
"replication",
"routing",
"timeout",
"timestamp",
"ttl",
"version",
"version_type"
See the index docs <http://www.elastic.co/guide/en/elasticsearch/reference/current/docs-index_.html> for
more information.
"create()"
$response = $e->create(
index => 'index_name', # required
type => 'type_name', # required
id => 'doc_id', # optional, otherwise auto-generated
body => { document } # required
);
The "create()" method works exactly like the "index()" method, except that it will throw a "Conflict"
error if a document with the same "index", "type" and "id" already exists.
Query string parameters:
"consistency",
"op_type",
"parent",
"refresh",
"replication",
"routing",
"timeout",
"timestamp",
"ttl",
"version",
"version_type"
See the create docs <http://www.elastic.co/guide/en/elasticsearch/reference/current/docs-create.html> for
more information.
"get()"
$response = $e->get(
index => 'index_name', # required
type => 'type_name', # required
id => 'doc_id', # required
);
The "get()" method will retrieve the document with the specified "index", "type" and "id", or will throw
a "Missing" error.
Query string parameters:
"_source",
"_source_exclude",
"_source_include",
"fields",
"parent",
"preference",
"realtime",
"refresh",
"routing",
"version",
"version_type"
See the get docs <http://www.elastic.co/guide/en/elasticsearch/reference/current/docs-get.html> for more
information.
"get_source()"
$response = $e->get_source(
index => 'index_name', # required
type => 'type_name', # required
id => 'doc_id', # required
);
The "get_source()" method works just like the "get()" method except that it returns just the "_source"
field (the value of the "body" parameter in the "index()" method) instead of returning the "_source"
field plus the document metadata, ie the "_index", "_type" etc.
Query string parameters:
"_source",
"_source_exclude",
"_source_include",
"parent",
"preference",
"realtime",
"refresh",
"routing",
"version",
"version_type"
See the get_source docs <http://www.elastic.co/guide/en/elasticsearch/reference/current/docs-get.html>
for more information.
"exists()"
$response = $e->exists(
index => 'index_name', # required
type => 'type_name', # required
id => 'doc_id', # required
);
The "exists()" method returns 1 if a document with the specified "index", "type" and "id" exists, or an
empty string if it doesn't.
Query string parameters:
"parent",
"preference",
"realtime",
"refresh",
"routing"
See the exists docs <http://www.elastic.co/guide/en/elasticsearch/reference/current/docs-get.html> for
more information.
"delete()"
$response = $e->delete(
index => 'index_name', # required
type => 'type_name', # required
id => 'doc_id', # required
);
The "delete()" method will delete the document with the specified "index", "type" and "id", or will throw
a "Missing" error.
Query string parameters:
"consistency",
"parent",
"refresh",
"replication",
"routing",
"timeout",
"version",
"version_type"
See the delete docs <http://www.elastic.co/guide/en/elasticsearch/reference/current/docs-delete.html> for
more information.
"update()"
$response = $e->update(
index => 'index_name', # required
type => 'type_name', # required
id => 'doc_id', # required
body => { update } # required
);
The "update()" method updates a document with the corresponding "index", "type" and "id" if it exists.
Updates can be performed either by:
• providing a partial document to be merged in to the existing document:
$response = $e->update(
...,
body => {
doc => { new_field => 'new_value'},
}
);
• or with a script:
$response = $e->update(
...,
body => {
script => "ctx._source.counter += incr",
params => { incr => 5 }
}
);
Query string parameters:
"consistency",
"fields",
"lang",
"parent",
"realtime",
"refresh",
"replication",
"retry_on_conflict",
"routing",
"script",
"script_id",
"scripted_upsert",
"timeout",
"timestamp",
"ttl",
"version",
"version_type"
See the update docs <http://www.elastic.co/guide/en/elasticsearch/reference/current/docs-update.html> for
more information.
"termvectors()"
$results = $e->termvectors(
index => $index, # required
type => $type, # required
id => $id, # optional
body => {...} # optional
)
The "termvectors()" method retrieves term and field statistics, positions, offsets and payloads for the
specified document, assuming that termvectors have been enabled.
Query string parameters:
"dfs",
"field_statistics",
"fields",
"offsets",
"parent",
"payloads",
"positions",
"preference",
"realtime",
"routing",
"term_statistics",
"version",
"version_type"
See the termvector docs <http://www.elastic.co/guide/en/elasticsearch/reference/current/docs-
termvectors.html> for more information.
BULK DOCUMENT CRUD METHODS
The bulk document CRUD methods are used for running multiple CRUD actions within a single request. By
reducing the number of network requests that need to be made, bulk requests greatly improve performance.
"bulk()"
$response = $e->bulk(
index => 'index_name', # required if type specified
type => 'type_name', # optional
body => [ actions ] # required
);
See Search::Elasticsearch::Client::1_0::Bulk and "bulk_helper()" for a helper module that makes bulk
indexing simpler to use.
The "bulk()" method can perform multiple "index()", "create()", "delete()" or "update()" actions with a
single request. The "body" parameter expects an array containing the list of actions to perform.
An action consists of an initial metadata hash ref containing the action type, plus the associated
metadata, eg :
{ delete => { _index => 'index', _type => 'type', _id => 123 }}
The "index" and "create" actions then expect a hashref containing the document itself:
{ create => { _index => 'index', _type => 'type', _id => 123 }},
{ title => "A newly created document" }
And the "update" action expects a hashref containing the update commands, eg:
{ update => { _index => 'index', _type => 'type', _id => 123 }},
{ script => "ctx._source.counter+=1" }
Each action can include the same parameters that you would pass to the equivalent "index()", "create()",
"delete()" or "update()" request, except that "_index", "_type" and "_id" must be specified with the
preceding underscore. All other parameters can be specified with or without the underscore.
For instance:
$response = $e->bulk(
index => 'index_name', # default index name
type => 'type_name', # default type name
body => [
# create action
{ create => {
_index => 'not_the_default_index',
_type => 'not_the_default_type',
_id => 123
}},
{ title => 'Foo' },
# index action
{ index => { _id => 124 }},
{ title => 'Foo' },
# delete action
{ delete => { _id => 125 }},
# update action
{ update => { _id => 126 }},
{ script => "ctx._source.counter+1" }
]
);
Each action is performed separately. One failed action will not cause the others to fail as well.
Query string parameters:
"consistency",
"refresh",
"replication",
"timeout"
See the bulk docs <http://www.elastic.co/guide/en/elasticsearch/reference/current/docs-bulk.html> for
more information.
"bulk_helper()"
$bulk_helper = $e->bulk_helper( @args );
Returns a new instance of the class specified in the "bulk_helper_class", which defaults to
Search::Elasticsearch::Client::1_0::Bulk.
"mget()"
$results = $e->mget(
index => 'default_index', # optional, required when type specified
type => 'default_type', # optional
body => { docs or ids } # required
);
The "mget()" method will retrieve multiple documents with a single request. The "body" consists of an
array of documents to retrieve:
$results = $e->mget(
index => 'default_index',
type => 'default_type',
body => {
docs => [
{ _id => 1},
{ _id => 2, _type => 'not_the_default_type' }
]
}
);
You can also pass any of the other parameters that the "get()" request accepts.
If you have specified an "index" and "type", you can just include the "ids" of the documents to retrieve:
$results = $e->mget(
index => 'default_index',
type => 'default_type',
body => {
ids => [ 1, 2, 3]
}
);
Query string parameters:
"_source",
"_source_exclude",
"_source_include",
"fields",
"preference",
"realtime",
"refresh"
See the mget docs <http://www.elastic.co/guide/en/elasticsearch/reference/current/docs-multi-get.html>
for more information.
"delete_by_query()"
$result = $e->delete_by_query(
index => 'index' | \@indices, # required
type => 'type' | \@types, # optional
body => { query } # required
);
The "delete_by_query()" method deletes all documents which match the query. For instance, to delete all
documents from 2012:
$result = $e->delete_by_query(
body => {
query => {
range => {
date => {
gte => '2012-01-01',
lt => '2013-01-01'
}
}
}
}
);
Query string parameters:
"allow_no_indices",
"analyzer",
"consistency",
"default_operator",
"df",
"expand_wildcards",
"ignore_unavailable",
"q",
"replication",
"routing",
"timeout"
See the delete_by_query docs <http://www.elastic.co/guide/en/elasticsearch/reference/current/docs-delete-
by-query.html> for more information.
"mtermvectors()"
$results = $e->mtermvectors(
index => $index, # required if type specified
type => $type, # optional
body => { } # optional
)
Runs multiple "termvector()" requests in a single request, eg:
$results = $e->mtermvectors(
index => 'test',
body => {
docs => [
{ _type => 'test', _id => 1, fields => ['text'] },
{ _type => 'test', _id => 2, payloads => 1 },
]
}
);
Query string parameters:
"field_statistics",
"fields",
"ids",
"offsets",
"parent",
"payloads",
"positions",
"preference",
"realtime",
"routing",
"term_statistics",
"version",
"version_type"
See the mtermvectors docs <http://www.elastic.co/guide/en/elasticsearch/reference/current/docs-multi-
termvectors.html> for more information.
SEARCH METHODS
The search methods are used for querying documents in one, more or all indices and of one, more or all
types:
"search()"
$results = $e->search(
index => 'index' | \@indices, # optional
type => 'type' | \@types, # optional
body => { search params } # optional
);
The "search()" method searches for matching documents in one or more indices. It is just as easy to
search a single index as it is to search all the indices in your cluster. It can also return
aggregations <http://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations.html>
highlighted snippets <http://www.elastic.co/guide/en/elasticsearch/reference/current/search-
highlighting.html> and did-you-mean
<http://www.elastic.co/guide/en/elasticsearch/reference/current/search-suggesters-phrase.html> or search-
as-you-type <http://www.elastic.co/guide/en/elasticsearch/reference/current/search-suggesters-
completion.html> suggestions.
The lite version of search <http://www.elastic.co/guide/en/elasticsearch/reference/current/search-uri-
request.html> allows you to specify a query string in the "q" parameter, using the Lucene query string
syntax:
$results = $e->search( q => 'title:(elasticsearch clients)');
However, the preferred way to search is by using the Query DSL
<http://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl.html> to create a query, and
passing that "query" in the request body
<http://www.elastic.co/guide/en/elasticsearch/reference/current/search-request-body.html>:
$results = $e->search(
body => {
query => {
match => { title => 'Elasticsearch clients'}
}
}
);
Query string parameters:
"_source",
"_source_exclude",
"_source_include",
"allow_no_indices",
"analyze_wildcard",
"analyzer",
"default_operator",
"df",
"expand_wildcards",
"explain",
"fielddata_fields",
"fields",
"from",
"ignore_unavailable",
"lenient",
"lowercase_expanded_terms",
"preference",
"q",
"query_cache",
"routing",
"scroll",
"search_type",
"size",
"sort",
"stats",
"suggest_field",
"suggest_mode",
"suggest_size",
"suggest_text",
"terminate_after",
"timeout",
"track_scores",
"version"
See the search reference <http://www.elastic.co/guide/en/elasticsearch/reference/current/search-request-
body.html> for more information.
Also see "send_get_body_as" in Search::Elasticsearch::Transport.
"search_exists()"
The "search_exists()" method is a quick version of search which can be used to find out whether there are
matching search results or not. It doesn't return any results itself.
$results = $e->search_exists(
index => 'index' | \@indices, # optional
type => 'type' | \@types, # optional
body => { search params } # optional
);
Query string parameters:
"allow_no_indices",
"analyze_wildcard",
"analyzer",
"default_operator",
"df",
"expand_wildcards",
"ignore_unavailable",
"lenient",
"lowercase_expanded_terms",
"min_score",
"preference",
"q",
"routing"
See the search exists reference <http://www.elastic.co/guide/en/elasticsearch/reference/current/search-
exists.html> for more information.
"count()"
$results = $e->count(
index => 'index' | \@indices, # optional
type => 'type' | \@types, # optional
body => { query } # optional
)
The "count()" method returns the total count of all documents matching the query:
$results = $e->count(
body => {
query => {
match => { title => 'Elasticsearch clients' }
}
}
);
Query string parameters:
"allow_no_indices",
"analyze_wildcard",
"analyzer",
"default_operator",
"df",
"expand_wildcards",
"ignore_unavailable",
"lenient",
"lowercase_expanded_terms",
"min_score",
"preference",
"q",
"routing"
See the count docs <http://www.elastic.co/guide/en/elasticsearch/reference/current/search-count.html> for
more information.
"search_template()"
$results = $e->search_template(
index => 'index' | \@indices, # optional
type => 'type' | \@types, # optional
body => { search params } # optional
);
Perform a search by specifying a template (either predefined or defined within the "body") and parameters
to use with the template, eg:
$results = $e->search_template(
body => {
template => {
query => {
match => {
"{{my_field}}" => "{{my_value}}"
}
},
size => "{{my_size}}"
},
params => {
my_field => 'foo',
my_value => 'bar',
my_size => 5
}
}
);
See the search template docs <http://www.elastic.co/guide/en/elasticsearch/reference/current/search-
template.html> for more information.
Query string parameters:
"allow_no_indices",
"expand_wildcards",
"ignore_unavailable",
"preference",
"scroll",
"search_type"
"scroll()"
$results = $e->scroll(
scroll => '1m',
scroll_id => $id
);
When a "search()" has been performed with the "scroll" parameter, the "scroll()" method allows you to
keep pulling more results until the results are exhausted.
NOTE: you will almost always want to set the "search_type" to "scan" in your original "search()" request.
See "scroll_helper()" and Search::Elasticsearch::Scroll for a helper utility which makes managing scroll
requests much easier.
Query string parameters:
"scroll",
"scroll_id"
See the scroll docs <http://www.elastic.co/guide/en/elasticsearch/reference/current/search-request-
scroll.html> and the search_type docs
<http://www.elastic.co/guide/en/elasticsearch/reference/current/search.html/search-request-search-
type.html> for more information.
"clear_scroll()"
$response = $e->clear_scroll(
scroll_id => $id | \@ids # required
);
Or
$response = $e->clear_scroll(
body => $id
);
The "clear_scroll()" method can clear unfinished scroll requests, freeing up resources on the server.
"scroll_helper()"
$scroll_helper = $e->scroll_helper( @args );
Returns a new instance of the class specified in the "scroll_helper_class", which defaults to
Search::Elasticsearch::Scroll.
"msearch()"
$results = $e->msearch(
index => 'default_index' | \@indices, # optional
type => 'default_type' | \@types, # optional
body => [ searches ] # required
);
The "msearch()" method allows you to perform multiple searches in a single request. Similar to the
"bulk()" request, each search request in the "body" consists of two hashes: the metadata hash then the
search request hash (the same data that you'd specify in the "body" of a "search()" request). For
instance:
$results = $e->msearch(
index => 'default_index',
type => ['default_type_1', 'default_type_2'],
body => [
# uses defaults
{},
{ query => { match_all => {} }},
# uses a custom index
{ index => 'not_the_default_index' },
{ query => { match_all => {} }}
]
);
Query string parameters:
"search_type"
See the msearch docs <http://www.elastic.co/guide/en/elasticsearch/reference/current/search-multi-
search.html> for more information.
"explain()"
$response = $e->explain(
index => 'my_index', # required
type => 'my_type', # required
id => 123, # required
body => { search } # required
);
The "explain()" method explains why the specified document did or did not match a query, and how the
relevance score was calculated. For instance:
$response = $e->explain(
index => 'my_index',
type => 'my_type',
id => 123,
body => {
query => {
match => { title => 'Elasticsearch clients' }
}
}
);
Query string parameters:
"_source",
"_source_exclude",
"_source_include",
"analyze_wildcard",
"analyzer",
"default_operator",
"df",
"fields",
"lenient",
"lowercase_expanded_terms",
"parent",
"preference",
"q",
"routing"
See the explain docs <http://www.elastic.co/guide/en/elasticsearch/reference/current/search-explain.html>
for more information.
"field_stats()"
$response = $e->field_stats(
index => 'index' | \@indices, # optional
fields => 'field' | \@fields, # optional
level => 'cluster' | 'indices', # optional
);
The "field-stats" API returns statistical properties of a field (such as min and max values) without
executing a search.
Query string parameters:
"allow_no_indices",
"expand_wildcards",
"fields",
"ignore_unavailable",
"level"
See the field-stats docs <http://www.elastic.co/guide/en/elasticsearch/reference/current/search-field-
stats.html> for more information.
"search_shards()"
$response = $e->search_shards(
index => 'index' | \@indices, # optional
type => 'type' | \@types, # optional
)
The "search_shards()" method returns information about which shards on which nodes will execute a search
request.
Query string parameters:
"allow_no_indices",
"expand_wildcards",
"ignore_unavailable",
"local",
"preference",
"routing"
See the search-shards docs <http://www.elastic.co/guide/en/elasticsearch/reference/current/search-
shards.html> for more information.
PERCOLATION METHODS
"percolate()"
$results = $e->percolate(
index => 'my_index', # required
type => 'my_type', # required
body => { percolation } # required
);
Percolation is search inverted: instead of finding docs which match a particular query, it finds queries
which match a particular document, eg for alert-me-when functionality.
The "percolate()" method runs a percolation request to find the queries matching a particular document.
In the "body" you should pass the "_source" field of the document under the "doc" key:
$results = $e->percolate(
index => 'my_index',
type => 'my_type',
body => {
doc => {
title => 'Elasticsearch rocks'
}
}
);
Query string parameters:
"allow_no_indices",
"expand_wildcards",
"ignore_unavailable",
"percolate_format",
"percolate_index",
"percolate_preference",
"percolate_routing",
"percolate_type",
"preference",
"routing",
"version",
"version_type"
See the percolate docs <http://www.elastic.co/guide/en/elasticsearch/reference/current/search-
percolate.html> for more information.
"count_percolate()"
$results = $e->count_percolate(
index => 'my_index', # required
type => 'my_type', # required
body => { percolation } # required
);
The "count_percolate()" request works just like the "percolate()" request except that it returns a count
of all matching queries, instead of the queries themselves.
$results = $e->count_percolate(
index => 'my_index',
type => 'my_type',
body => {
doc => {
title => 'Elasticsearch rocks'
}
}
);
Query string parameters:
"allow_no_indices",
"expand_wildcards",
"ignore_unavailable",
"percolate_index",
"percolate_type",
"preference",
"routing",
"version",
"version_type"
See the percolate docs <http://www.elastic.co/guide/en/elasticsearch/reference/current/search-
percolate.html> for more information.
"mpercolate()"
$results = $e->mpercolate(
index => 'my_index', # required if type
type => 'my_type', # optional
body => [ percolation requests ] # required
);
Multi-percolation allows multiple "percolate()" requests to be run in a single request.
$results = $e->mpercolate(
index => 'my_index',
type => 'my_type',
body => [
# first request
{ percolate => {
index => 'twitter',
type => 'tweet'
}},
{ doc => {message => 'some_text' }},
# second request
{ percolate => {
index => 'twitter',
type => 'tweet',
id => 1
}},
{},
]
);
Query string parameters:
"allow_no_indices",
"expand_wildcards",
"ignore_unavailable"
See the mpercolate docs <http://www.elastic.co/guide/en/elasticsearch/reference/current/search-
percolate.html> for more information.
"suggest()"
$results = $e->suggest(
index => 'index' | \@indices, # optional
body => { suggest request } # required
);
The "suggest()" method is used to run did-you-mean
<http://www.elastic.co/guide/en/elasticsearch/reference/current/search-suggesteres-phrase.html> or
search-as-you-type <http://www.elastic.co/guide/en/elasticsearch/reference/current/search-suggesters-
completion.html> suggestion requests, which can also be run as part of a "search()" request.
$results = $e->suggest(
index => 'my_index',
body => {
my_suggestions => {
phrase => {
text => 'johnny walker',
field => 'title'
}
}
}
);
Query string parameters:
"allow_no_indices",
"expand_wildcards",
"ignore_unavailable",
"preference",
"routing"
"mlt()"
$results = $e->mlt(
index => 'my_index', # required
type => 'my_type', # required
id => 123, # required
body => { search } # optional
);
The "mlt()" method runs a more-like-this query
<http://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-mlt-query.html> to find other
documents which are similar to the specified document.
Query string parameters:
"boost_terms",
"max_doc_freq",
"max_query_terms",
"max_word_length",
"min_doc_freq",
"min_term_freq",
"min_word_length",
"mlt_fields",
"percent_terms_to_match",
"routing",
"search_from",
"search_indices",
"search_scroll",
"search_size",
"search_source",
"search_type",
"search_types",
"stop_words"
See the mlt docs <http://www.elastic.co/guide/en/elasticsearch/reference/current/search-more-like-
this.html> for more information.
INDEXED SCRIPT METHODS
If dynamic scripting is enabled, Elasticsearch allows you to store scripts in an internal index known as
".scripts" and reference them by id. The methods to manage indexed scripts are as follows:
"put_script()"
$result = $e->put_script(
lang => 'lang', # required
id => 'id', # required
body => { script } # required
);
The "put_script()" method is used to store a script in the ".scripts" index. For instance:
$result = $e->put_scripts(
lang => 'groovy',
id => 'hello_world',
body => {
script => q(return "hello world");
}
);
Query string parameters:
"op_type",
"version",
"version_type"
See the indexed scripts docs <http://www.elastic.co/guide/en/elasticsearch/reference/current/modules-
scripting.html#_indexed_scripts> for more.
"get_script()"
$script = $e->get_script(
lang => 'lang', # required
id => 'id', # required
);
Retrieve the indexed script from the ".scripts" index.
Query string parameters:
"version",
"version_type"
See the indexed scripts docs <http://www.elastic.co/guide/en/elasticsearch/reference/current/modules-
scripting.html#_indexed_scripts> for more.
"delete_script()"
$script = $e->delete_script(
lang => 'lang', # required
id => 'id', # required
);
Delete the indexed script from the ".scripts" index.
Query string parameters:
"version",
"version_type"
See the indexed scripts docs <http://www.elastic.co/guide/en/elasticsearch/reference/current/modules-
scripting.html#_indexed_scripts> for more.
INDEXED SEARCH TEMPLATE METHODS
Mustache templates can be used to create search requests. These templates can be stored in the
".scripts" index and retrieved by ID. The methods to manage indexed scripts are as follows:
"put_template()"
$result = $e->put_template(
id => 'id', # required
body => { template } || "template" # required
);
The "put_template()" method is used to store a template in the ".scripts" index. For instance:
$result = $e->put_template(
id => 'hello_world',
body => {
template => {
query => {
match => {
title => "hello world"
}
}
}
}
);
Query string parameters: None
See the indexed search template docs
<http://www.elastic.co/guide/en/elasticsearch/reference/current/search-
template.html#_pre_registered_template> for more.
"get_template()"
$script = $e->get_template(
id => 'id', # required
);
Retrieve the indexed template from the ".scripts" index.
Query string parameters:
"version",
"version_type"
See the indexed search template docs
<http://www.elastic.co/guide/en/elasticsearch/reference/current/search-
template.html#_pre_registered_template> for more.
"delete_template()"
$script = $e->delete_template(
id => 'id', # required
);
Delete the indexed template from the ".scripts" index.
Query string parameters: None
See the indexed search template docs
<http://www.elastic.co/guide/en/elasticsearch/reference/current/search-
template.html#_pre_registered_template> for more.
AUTHOR
Enrico Zimuel <enrico.zimuel@elastic.co>
COPYRIGHT AND LICENSE
This software is Copyright (c) 2020 by Elasticsearch BV.
This is free software, licensed under:
The Apache License, Version 2.0, January 2004
perl v5.36.0 2022-08-28 Search::Elastic...nt::1_0::Direct(3pm)