- Elasticsearch Guide: other versions:
- Getting Started
- Setup
- Breaking changes
- Breaking changes in 2.0
- Removed features
- Network changes
- Multiple
path.data
striping - Mapping changes
- CRUD and routing changes
- Query DSL changes
- Search changes
- Aggregation changes
- Parent/Child changes
- Scripting changes
- Index API changes
- Snapshot and Restore changes
- Plugin and packaging changes
- Setting changes
- Stats, info, and
cat
changes - Java API changes
- Breaking changes in 2.0
- API Conventions
- Document APIs
- Search APIs
- Aggregations
- Metrics Aggregations
- Bucket Aggregations
- Children Aggregation
- Date Histogram Aggregation
- Date Range Aggregation
- Filter Aggregation
- Filters Aggregation
- Geo Distance Aggregation
- GeoHash grid Aggregation
- Global Aggregation
- Histogram Aggregation
- IPv4 Range Aggregation
- Missing Aggregation
- Nested Aggregation
- Range Aggregation
- Reverse nested Aggregation
- Sampler Aggregation
- Significant Terms Aggregation
- Terms Aggregation
- Pipeline Aggregations
- Caching heavy aggregations
- Returning only aggregation results
- Aggregation Metadata
- Indices APIs
- Create Index
- Delete Index
- Get Index
- Indices Exists
- Open / Close Index API
- Put Mapping
- Get Mapping
- Get Field Mapping
- Types Exists
- Index Aliases
- Update Indices Settings
- Get Settings
- Analyze
- Index Templates
- Warmers
- Shadow replica indices
- Indices Stats
- Indices Segments
- Indices Recovery
- Indices Shard Stores
- Clear Cache
- Flush
- Refresh
- Optimize
- Upgrade
- cat APIs
- Cluster APIs
- Query DSL
- Mapping
- Field datatypes
- Meta-Fields
- Mapping parameters
analyzer
boost
coerce
copy_to
doc_values
dynamic
enabled
fielddata
format
geohash
geohash_precision
geohash_prefix
ignore_above
ignore_malformed
include_in_all
index
index_options
lat_lon
fields
norms
null_value
position_increment_gap
precision_step
properties
search_analyzer
similarity
store
term_vector
- Dynamic Mapping
- Transform
- Analysis
- Analyzers
- Tokenizers
- Token Filters
- Standard Token Filter
- ASCII Folding Token Filter
- Length Token Filter
- Lowercase Token Filter
- Uppercase Token Filter
- NGram Token Filter
- Edge NGram Token Filter
- Porter Stem Token Filter
- Shingle Token Filter
- Stop Token Filter
- Word Delimiter Token Filter
- Stemmer Token Filter
- Stemmer Override Token Filter
- Keyword Marker Token Filter
- Keyword Repeat Token Filter
- KStem Token Filter
- Snowball Token Filter
- Phonetic Token Filter
- Synonym Token Filter
- Compound Word Token Filter
- Reverse Token Filter
- Elision Token Filter
- Truncate Token Filter
- Unique Token Filter
- Pattern Capture Token Filter
- Pattern Replace Token Filter
- Trim Token Filter
- Limit Token Count Token Filter
- Hunspell Token Filter
- Common Grams Token Filter
- Normalization Token Filter
- CJK Width Token Filter
- CJK Bigram Token Filter
- Delimited Payload Token Filter
- Keep Words Token Filter
- Keep Types Token Filter
- Classic Token Filter
- Apostrophe Token Filter
- Character Filters
- ICU Analysis Plugin
- Modules
- Index Modules
- Testing
- Glossary of terms
- Release Notes
WARNING: Version 2.0 of Elasticsearch has passed its EOL date.
This documentation is no longer being maintained and may be removed. If you are running this version, we strongly advise you to upgrade. For the latest information, see the current release documentation.
_routing field
edit_routing
field
editA document is routed to a particular shard in an index using the following formula:
shard_num = hash(_routing) % num_primary_shards
The default value used for _routing
is the document’s _id
or the document’s _parent
ID, if present.
Custom routing patterns can be implemented by specifying a custom routing
value per document. For instance:
PUT my_index/my_type/1?routing=user1 { "title": "This is a document" } GET my_index/my_type/1?routing=user1
This document uses |
|
The the same |
The value of the _routing
field is accessible in queries, aggregations, scripts,
and when sorting:
GET my_index/_search { "query": { "terms": { "_routing": [ "user1" ] } }, "aggs": { "Routing values": { "terms": { "field": "_routing", "size": 10 } } }, "sort": [ { "_routing": { "order": "desc" } } ], "script_fields": { "Routing value": { "script": "doc['_routing']" } } }
Querying on the |
|
Aggregating on the |
|
Sorting on the |
|
Accessing the |
Searching with custom routing
editCustom routing can reduce the impact of searches. Instead of having to fan out a search request to all the shards in an index, the request can be sent to just the shard that matches the specific routing value (or values):
Making a routing value required
editWhen using custom routing, it is important to provide the routing value whenever indexing, getting, deleting, or updating a document.
Forgetting the routing value can lead to a document being indexed on more than
one shard. As a safeguard, the _routing
field can be configured to make a
custom routing
value required for all CRUD operations:
Unique IDs with custom routing
editWhen indexing documents specifying a custom _routing
, the uniqueness of the
_id
is not guaranteed across all of the shards in the index. In fact,
documents with the same _id
might end up on different shards if indexed with
different _routing
values.
It is up to the user to ensure that IDs are unique across the index.
On this page