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Create index
Introduced 1.0
While you can create an index by using a document as a base, you can also just create an empty index for use later.
Example
The following example demonstrates how to create an index with a non-default number of primary and replica shards, specifies that age
is of type integer
, and assigns a sample-alias1
alias to the index.
PUT /sample-index1
{
"settings": {
"index": {
"number_of_shards": 2,
"number_of_replicas": 1
}
},
"mappings": {
"properties": {
"age": {
"type": "integer"
}
}
},
"aliases": {
"sample-alias1": {}
}
}
Path and HTTP methods
PUT <index-name>
Index naming restrictions
OpenSearch indices have the following naming restrictions:
- All letters must be lowercase.
- Index names can’t begin with underscores (
_
) or hyphens (-
). -
Index names can’t contain spaces, commas, or the following characters:
:
,"
,*
,+
,/
,\
,|
,?
,#
,>
, or<
URL parameters
You can include the following URL parameters in your request. All parameters are optional.
Parameter | Type | Description |
---|---|---|
include_type_name | Boolean | If true , the request expects a type in the body of mappings. Because OpenSearch indices all have a type of _doc , we recommend that this parameter is left as the default of false. |
wait_for_active_shards | String | Specifies the number of active shards that must be available before OpenSearch processes the request. Default is 1 (only the primary shard). Set to all or a positive integer. Values greater than 1 require replicas. For example, if you specify a value of 3, the index must have two replicas distributed across two additional nodes for the request to succeed. |
master_timeout | Time | How long to wait for a connection to the master node. Default is 30s . |
timeout | Time | How long to wait for the request to return. Default is 30s . |
Request body
As part of your request, you can supply parameters in your request’s body that specify index settings, mappings, and aliases for your newly created index. The following sections provide more information about index settings and mappings.
Index settings
Index settings are separated into two varieties: static index settings and dynamic index settings. Static index settings are settings that you specify at index creation and can’t change later. You can change dynamic settings at any time, including at index creation.
Static index settings
Setting | Description |
---|---|
index.number_of_shards | The number of primary shards in the index. Default is 1. |
index.number_of_routing_shards | The number of routing shards used to split an index. |
index.shard.check_on_startup | Whether the index’s shards should be checked for corruption. Available options are false (do not check for corruption), checksum (check for physical corruption), and true (check for both physical and logical corruption). Default is false . |
index.codec | The compression type to use to compress stored data. Available values are best_compression and default . |
index.routing_partition_size | The number of shards a custom routing value can go to. Routing helps an imbalanced cluster by relocating values to a subset of shards rather than just a single shard. To enable, set this value to greater than 1 but less than index.number_of_shards . Default is 1. |
index.soft_deletes.retention_lease.period | The maximum amount of time to retain a shard’s history of operations. Default is 12h . |
index.load_fixed_bitset_filters_eagerly | Whether OpenSearch should pre-load cached filters. Available options are true and false . Default is true . |
index.hidden | Whether the index should be hidden. Hidden indices are not returned as part of queries that have wildcards. Available options are true and false . Default is false . |
Dynamic index Settings
Setting | Description |
---|---|
index.number_of_replicas | The number of replica shards each primary shard should have. For example, if you have 4 primary shards and set index.number_of_replicas to 3, the index has 12 replica shards. Default is 1. |
index.auto_expand_replicas | Whether the cluster should automatically add replica shards based on the number of data nodes. Specify a lower bound and upper limit (for example, 0-9), or all for the upper limit. For example, if you have 5 data nodes and set index.auto_expand_replicas to 0-3, then the cluster does not autoamtically add another replica shard. However, if you set this value to 0-all and add 2 more nodes for a total of 7, the cluster will expand to now have 6 replica shards. Default is disabled. |
index.search.idle.after | Amount of time a shard should wait for a search or get request until it goes idle. Default is 30s . |
index.refresh_interval | How often the index should refresh, which publishes its most recent changes and makes them available for searching. Can be set to -1 to disable refreshing. Default is 1s . |
index.max_result_window | The maximum value of from + size for searches to the index. from is the starting index to search from, and size is the amount of results to return. Default: 10000. |
index.max_inner_result_window | Maximum value of from + size to return nested search hits and most relevant document aggregated during the query. from is the starting index to search from, and size is the amount of top hits to return. Default is 100. |
index.max_rescore_window | The maximum value of window_size for rescore requests to the index. Rescore requests reorder the index’s documents and return a new score, which can be more precise. Default is the same as index.max_inner_result_window or 10000 by default. |
index.max_docvalue_fields_search | Maximum amount of docvalue_fields allowed in a query. Default is 100. |
index.max_script_fields | Maximum amount of script_fields allowed in a query. Default is 32. |
index.max_ngram_diff | Maximum difference between min_gram and max_gram values for NGramTokenizer and NGramTokenFilter fields. Default is 1. |
index.max_shingle_diff | Maximum difference between max_shingle_size and min_shingle_size to feed into the shingle token filter. Default is 3. |
index.max_refresh_listeners | Maximum amount of refresh listeners each shard is allowed to have. |
index.analyze.max_token_count | Maximum amount of tokens that can return from the _analyze API operation. Default is 10000. |
index.highlight.max_analyzed_offset | The amount of characters a highlight request can analyze. Default is 1000000. |
index.max_terms_count | The maximum amount of terms a terms query can accept. Default is 65536. |
index.max_regex_length | The maximum character length of regex that can be in a regexp query. Default is 1000. |
index.query.default_field | A field or list of fields that OpenSearch uses in queries in case a field isn’t specified in the parameters. |
index.routing.allocation.enable | Specifies options for the index’s shard allocation. Available options are all (allow allocation for all shards), primaries (allow allocation only for primary shards), new_primaries (allow allocation only for new primary shards), and none (do not allow allocation). Default is all. |
index.routing.rebalance.enable | Enables shard rebalancing for the index. Available options are all (allow rebalancing for all shards), primaries (allow rebalancing only for primary shards), replicas (allow rebalancing only for replicas), and none (do not allow rebalancing). Default is all . |
index.gc_deletes | Amount of time to retain a deleted document’s version number. Default is 60s . |
index.default_pipeline | The default ingest node pipeline for the index. If the default pipeline is set and the pipeline does not exist, then index requests fail. The pipeline name _none specifies that the index does not have an ingest pipeline. |
index.final_pipeline | The final ingest node pipeline for the index. If the final pipeline is set and the pipeline does not exist, then index requests fail. The pipeline name _none specifies that the index does not have an ingest pipeline. |
Mappings
Mappings define how a documents and its fields are stored and indexed. If you’re just starting to build out your cluster and data, you may not know exactly how your data should be stored. In those cases, you can use dynamic mappings, which tell OpenSearch to dynamically add data and their fields. However, if you know exactly what types your data fall under and want to enforce that standard, then you can use explicit mappings.
For example, if you want to indicate that year
should be of type text
instead of an integer
, and age
should be an integer
, you can do so with explicit mappings. Using dynamic mapping, OpenSearch might interpret both year
and age
as integers.
Dynamic mapping types
Type | Description |
---|---|
null | A null field can’t be indexed or searched. When a field is set to null, OpenSearch behaves as if that field has no values. |
boolean | OpenSearch accepts true and false as boolean values. An empty string is equal to false. |
float | A single-precision 32-bit floating point number. |
double | A double-precision 64-bit floating point number. |
integer | A signed 32-bit number. |
object | Objects are standard JSON objects, which can have fields and mappings of their own. For example, a movies object can have additional properties such as title , year , and director . |
array | Arrays in OpenSearch can only store values of one type, such as an array of just integers or strings. Empty arrays are treated as though they are fields with no values. |
text | A string sequence of characters that represent full-text values. |
keyword | A string sequence of structured characters, such as an email or ZIP code. |
date detection string | Enabled by default, if new string fields match a date’s format, then the string is processed as a date field. For example, date: "2012/03/11" is processed as a date. |
numeric detection string | If disabled, OpenSearch may automatically process numeric values as strings when they should be processed as numbers. When enabled, OpenSearch can process strings into long , integer , short , byte , double , float , half_float , scaled_float , unsigned_long . Default is disabled. |
Explicit mapping
If you know exactly what your data’s typings need to be, you can specify them in your request body when creating your index.
{
"mappings": {
"properties": {
"year": { "type" : "text" },
"age": { "type" : "integer" },
"director":{ "type" : "text" }
}
}
}
Response
{
"acknowledged": true,
"shards_acknowledged": true,
"index": "sample-index1"
}