- 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.
Shadow replica indices
editShadow replica indices
editThis functionality is in technical preview and may be changed or removed in a future release. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features.
If you would like to use a shared filesystem, you can use the shadow replicas settings to choose where on disk the data for an index should be kept, as well as how Elasticsearch should replay operations on all the replica shards of an index.
In order to fully utilize the index.data_path
and index.shadow_replicas
settings, you need to allow Elasticsearch to use the same data directory for
multiple instances by setting node.add_id_to_custom_path
to false in
elasticsearch.yml:
node.add_id_to_custom_path: false
You will also need to indicate to the security manager where the custom indices
will be, so that the correct permissions can be applied. You can do this by
setting the path.shared_data
setting in elasticsearch.yml:
path.shared_data: /opt/data
This means that Elasticsearch can read and write to files in any subdirectory of
the path.shared_data
setting.
You can then create an index with a custom data path, where each node will use this path for the data:
Because shadow replicas do not index the document on replica shards, it’s possible for the replica’s known mapping to be behind the index’s known mapping if the latest cluster state has not yet been processed on the node containing the replica. Because of this, it is highly recommended to use pre-defined mappings when using shadow replicas.
curl -XPUT 'localhost:9200/my_index' -d ' { "index" : { "number_of_shards" : 1, "number_of_replicas" : 4, "data_path": "/opt/data/my_index", "shadow_replicas": true } }'
In the above example, the "/opt/data/my_index" path is a shared filesystem that
must be available on every node in the Elasticsearch cluster. You must also
ensure that the Elasticsearch process has the correct permissions to read from
and write to the directory used in the index.data_path
setting.
An index that has been created with the index.shadow_replicas
setting set to
"true" will not replicate document operations to any of the replica shards,
instead, it will only continually refresh. Once segments are available on the
filesystem where the shadow replica resides (after an Elasticsearch "flush"), a
regular refresh (governed by the index.refresh_interval
) can be used to make
the new data searchable.
Since documents are only indexed on the primary shard, realtime GET
requests could fail to return a document if executed on the replica shard,
therefore, GET API requests automatically have the ?preference=_primary
flag
set if there is no preference flag already set.
In order to ensure the data is being synchronized in a fast enough manner, you may need to tune the flush threshold for the index to a desired number. A flush is needed to fsync segment files to disk, so they will be visible to all other replica nodes. Users should test what flush threshold levels they are comfortable with, as increased flushing can impact indexing performance.
The Elasticsearch cluster will still detect the loss of a primary shard, and
transform the replica into a primary in this situation. This transformation will
take slightly longer, since no IndexWriter
is maintained for each shadow
replica.
Below is the list of settings that can be changed using the update settings API:
-
index.data_path
(string) - Path to use for the index’s data. Note that by default Elasticsearch will append the node ordinal by default to the path to ensure multiple instances of Elasticsearch on the same machine do not share a data directory.
-
index.shadow_replicas
-
Boolean value indicating this index should use shadow replicas. Defaults to
false
. -
index.shared_filesystem
-
Boolean value indicating this index uses a shared filesystem. Defaults to
the
true
ifindex.shadow_replicas
is set to true,false
otherwise. -
index.shared_filesystem.recover_on_any_node
-
Boolean value indicating whether the primary shards for the index should be
allowed to recover on any node in the cluster, regardless of the number of
replicas or whether the node has previously had the shard allocated to it
before. Defaults to
false
.