- Elasticsearch Guide: other versions:
- Getting Started
- Setup
- Breaking changes
- API Conventions
- Document APIs
- Search APIs
- Search
- URI Search
- Request Body Search
- Search Template
- Search Shards API
- Aggregations
- Min Aggregation
- Max Aggregation
- Sum Aggregation
- Avg Aggregation
- Stats Aggregation
- Extended Stats Aggregation
- Value Count Aggregation
- Percentiles Aggregation
- Percentile Ranks Aggregation
- Cardinality Aggregation
- Geo Bounds Aggregation
- Top hits Aggregation
- Scripted Metric Aggregation
- Global Aggregation
- Filter Aggregation
- Filters Aggregation
- Missing Aggregation
- Nested Aggregation
- Reverse nested Aggregation
- Children Aggregation
- Terms Aggregation
- Significant Terms Aggregation
- Range Aggregation
- Date Range Aggregation
- IPv4 Range Aggregation
- Histogram Aggregation
- Date Histogram Aggregation
- Geo Distance Aggregation
- GeoHash grid Aggregation
- Facets
- Suggesters
- Multi Search API
- Count API
- Search Exists API
- Validate API
- Explain API
- Percolator
- More Like This API
- Indices APIs
- Create Index
- Delete Index
- Get Index
- Indices Exists
- Open / Close Index API
- Put Mapping
- Get Mapping
- Get Field Mapping
- Types Exists
- Delete Mapping
- Index Aliases
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- cat APIs
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- Query DSL
- Queries
- Match Query
- Multi Match Query
- Bool Query
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- Dis Max Query
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- Function Score Query
- Fuzzy Query
- GeoShape Query
- Has Child Query
- Has Parent Query
- Ids Query
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- Match All Query
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- Nested Query
- Prefix Query
- Query String Query
- Simple Query String Query
- Range Query
- Regexp Query
- Span First Query
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- Span Near Query
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- Span Or Query
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- Term Query
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- Wildcard Query
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- Multi Term Query Rewrite
- Template Query
- Filters
- And Filter
- Bool Filter
- Exists Filter
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- Geo Distance Range Filter
- Geo Polygon Filter
- GeoShape Filter
- Geohash Cell Filter
- Has Child Filter
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- Limit Filter
- Match All Filter
- Missing Filter
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- Range Filter
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- Script Filter
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- Terms Filter
- Type Filter
- Queries
- Mapping
- 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
WARNING: Version 1.5 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.
cat segments
editcat segments
editThe segments
command provides low level information about the segments
in the shards of an index. It provides information similar to the
_segments endpoint.
% curl 'http://localhost:9200/_cat/segments?v' index shard prirep ip segment generation docs.count [...] test 4 p 192.168.2.105 _0 0 1 test1 2 p 192.168.2.105 _0 0 1 test1 3 p 192.168.2.105 _2 2 1
[...] docs.deleted size size.memory committed searchable version compound 0 2.9kb 7818 false true 4.10.2 true 0 2.9kb 7818 false true 4.10.2 true 0 2.9kb 7818 false true 4.10.2 true
The output shows information about index names and shard numbers in the first two columns.
If you only want to get information about segments in one particular index,
you can add the index name in the URL, for example /_cat/segments/test
. Also,
several indexes can be queried like /_cat/segments/test,test1
The following columns provide additional monitoring information:
- prirep
- Whether this segment belongs to a primary or replica shard.
- ip
- The ip address of the segments shard.
- segment
- A segment name, derived from the segment generation. The name is internally used to generate the file names in the directory of the shard this segment belongs to.
- generation
- The generation number is incremented with each segment that is written. The name of the segment is derived from this generation number.
- docs.count
- The number of non-deleted documents that are stored in this segment.
- docs.deleted
- The number of deleted documents that are stored in this segment. It is perfectly fine if this number is greater than 0, space is going to be reclaimed when this segment gets merged.
- size
- The amount of disk space that this segment uses.
- size.memory
- Segments store some data into memory in order to be searchable efficiently. This column shows the number of bytes in memory that are used.
- committed
- Whether the segment has been sync’ed on disk. Segments that are committed would survive a hard reboot. No need to worry in case of false, the data from uncommitted segments is also stored in the transaction log so that Elasticsearch is able to replay changes on the next start.
- searchable
- True if the segment is searchable. A value of false would most likely mean that the segment has been written to disk but no refresh occurred since then to make it searchable.
- version
- The version of Lucene that has been used to write this segment.
- compound
- Whether the segment is stored in a compound file. When true, this means that Lucene merged all files from the segment in a single one in order to save file descriptors.