- Elasticsearch Guide: other versions:
- Elasticsearch introduction
- Getting started with Elasticsearch
- Set up Elasticsearch
- Installing Elasticsearch
- Configuring Elasticsearch
- Important Elasticsearch configuration
- Important System Configuration
- Bootstrap Checks
- Heap size check
- File descriptor check
- Memory lock check
- Maximum number of threads check
- Max file size check
- Maximum size virtual memory check
- Maximum map count check
- Client JVM check
- Use serial collector check
- System call filter check
- OnError and OnOutOfMemoryError checks
- Early-access check
- G1GC check
- All permission check
- Discovery configuration check
- Starting Elasticsearch
- Stopping Elasticsearch
- Adding nodes to your cluster
- Set up X-Pack
- Configuring X-Pack Java Clients
- Bootstrap Checks for X-Pack
- Upgrade Elasticsearch
- API conventions
- Document APIs
- Search APIs
- Aggregations
- Metrics Aggregations
- Avg Aggregation
- Weighted Avg Aggregation
- Cardinality Aggregation
- Extended Stats Aggregation
- Geo Bounds Aggregation
- Geo Centroid Aggregation
- Max Aggregation
- Min Aggregation
- Percentiles Aggregation
- Percentile Ranks Aggregation
- Scripted Metric Aggregation
- Stats Aggregation
- Sum Aggregation
- Top Hits Aggregation
- Value Count Aggregation
- Median Absolute Deviation Aggregation
- Bucket Aggregations
- Adjacency Matrix Aggregation
- Auto-interval Date Histogram Aggregation
- Children Aggregation
- Composite Aggregation
- Date Histogram Aggregation
- Date Range Aggregation
- Diversified Sampler Aggregation
- Filter Aggregation
- Filters Aggregation
- Geo Distance Aggregation
- GeoHash grid Aggregation
- GeoTile Grid Aggregation
- Global Aggregation
- Histogram Aggregation
- IP Range Aggregation
- Missing Aggregation
- Nested Aggregation
- Parent Aggregation
- Range Aggregation
- Reverse nested Aggregation
- Sampler Aggregation
- Significant Terms Aggregation
- Significant Text Aggregation
- Terms Aggregation
- Pipeline Aggregations
- Avg Bucket Aggregation
- Derivative Aggregation
- Max Bucket Aggregation
- Min Bucket Aggregation
- Sum Bucket Aggregation
- Stats Bucket Aggregation
- Extended Stats Bucket Aggregation
- Percentiles Bucket Aggregation
- Moving Average Aggregation
- Moving Function Aggregation
- Cumulative Sum Aggregation
- Bucket Script Aggregation
- Bucket Selector Aggregation
- Bucket Sort Aggregation
- Serial Differencing Aggregation
- Matrix Aggregations
- Caching heavy aggregations
- Returning only aggregation results
- Aggregation Metadata
- Returning the type of the aggregation
- Metrics Aggregations
- Indices APIs
- Create Index
- Delete Index
- Get Index
- Indices Exists
- Open / Close Index API
- Shrink Index
- Split Index
- Rollover Index
- Put Mapping
- Get Mapping
- Get Field Mapping
- Types Exists
- Index Aliases
- Update Indices Settings
- Get Settings
- Analyze
- Index Templates
- Indices Stats
- Indices Segments
- Indices Recovery
- Indices Shard Stores
- Clear Cache
- Flush
- Refresh
- Force Merge
- cat APIs
- Cluster APIs
- Query DSL
- Scripting
- Mapping
- Analysis
- Anatomy of an analyzer
- Testing analyzers
- Analyzers
- Normalizers
- Tokenizers
- Standard Tokenizer
- Letter Tokenizer
- Lowercase Tokenizer
- Whitespace Tokenizer
- UAX URL Email Tokenizer
- Classic Tokenizer
- Thai Tokenizer
- NGram Tokenizer
- Edge NGram Tokenizer
- Keyword Tokenizer
- Pattern Tokenizer
- Char Group Tokenizer
- Simple Pattern Tokenizer
- Simple Pattern Split Tokenizer
- Path Hierarchy Tokenizer
- Path Hierarchy Tokenizer Examples
- Token Filters
- ASCII Folding Token Filter
- Flatten Graph 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
- Word Delimiter Graph Token Filter
- Multiplexer Token Filter
- Conditional Token Filter
- Predicate Token Filter Script
- 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
- Parsing synonym files
- Synonym Graph Token Filter
- Compound Word Token Filters
- 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
- Exclude mode settings example
- Classic Token Filter
- Apostrophe Token Filter
- Decimal Digit Token Filter
- Fingerprint Token Filter
- Minhash Token Filter
- Remove Duplicates Token Filter
- Character Filters
- Modules
- Index modules
- Ingest node
- Pipeline Definition
- Ingest APIs
- Accessing Data in Pipelines
- Conditional Execution in Pipelines
- Handling Failures in Pipelines
- Processors
- Append Processor
- Bytes Processor
- Convert Processor
- Date Processor
- Date Index Name Processor
- Dissect Processor
- Dot Expander Processor
- Drop Processor
- Fail Processor
- Foreach Processor
- GeoIP Processor
- Grok Processor
- Gsub Processor
- Join Processor
- JSON Processor
- KV Processor
- Lowercase Processor
- Pipeline Processor
- Remove Processor
- Rename Processor
- Script Processor
- Set Processor
- Set Security User Processor
- Split Processor
- Sort Processor
- Trim Processor
- Uppercase Processor
- URL Decode Processor
- User Agent processor
- Managing the index lifecycle
- Getting started with index lifecycle management
- Policy phases and actions
- Set up index lifecycle management policy
- Using policies to manage index rollover
- Update policy
- Index lifecycle error handling
- Restoring snapshots of managed indices
- Start and stop index lifecycle management
- Using ILM with existing indices
- SQL access
- Monitor a cluster
- Rolling up historical data
- Frozen indices
- Set up a cluster for high availability
- X-Pack APIs
- Info API
- Cross-cluster replication APIs
- Explore API
- Freeze index
- Index lifecycle management API
- Licensing APIs
- Migration APIs
- Machine learning APIs
- Add events to calendar
- Add jobs to calendar
- Close jobs
- Create calendar
- Create datafeeds
- Create filter
- Create jobs
- Delete calendar
- Delete datafeeds
- Delete events from calendar
- Delete filter
- Delete forecast
- Delete jobs
- Delete jobs from calendar
- Delete model snapshots
- Delete expired data
- Find file structure
- Flush jobs
- Forecast jobs
- Get calendars
- Get buckets
- Get overall buckets
- Get categories
- Get datafeeds
- Get datafeed statistics
- Get influencers
- Get jobs
- Get job statistics
- Get machine learning info
- Get model snapshots
- Get scheduled events
- Get filters
- Get records
- Open jobs
- Post data to jobs
- Preview datafeeds
- Revert model snapshots
- Set upgrade mode
- Start datafeeds
- Stop datafeeds
- Update datafeeds
- Update filter
- Update jobs
- Update model snapshots
- Rollup APIs
- Security APIs
- Authenticate
- Change passwords
- Clear cache
- Clear roles cache
- Create API keys
- Create or update application privileges
- Create or update role mappings
- Create or update roles
- Create or update users
- Delete application privileges
- Delete role mappings
- Delete roles
- Delete users
- Disable users
- Enable users
- Get API key information
- Get application privileges
- Get role mappings
- Get roles
- Get token
- Get users
- Has privileges
- Invalidate API key
- Invalidate token
- SSL certificate
- Unfreeze index
- Watcher APIs
- Definitions
- Secure a cluster
- Overview
- Configuring security
- Encrypting communications in Elasticsearch
- Encrypting communications in an Elasticsearch Docker Container
- Enabling cipher suites for stronger encryption
- Separating node-to-node and client traffic
- Configuring an Active Directory realm
- Configuring a file realm
- Configuring an LDAP realm
- Configuring a native realm
- Configuring a PKI realm
- Configuring a SAML realm
- Configuring a Kerberos realm
- FIPS 140-2
- Security files
- How security works
- User authentication
- Built-in users
- Internal users
- Token-based authentication services
- Realms
- Realm chains
- Active Directory user authentication
- File-based user authentication
- LDAP user authentication
- Native user authentication
- PKI user authentication
- SAML authentication
- Kerberos authentication
- Integrating with other authentication systems
- Enabling anonymous access
- Controlling the user cache
- Configuring SAML single-sign-on on the Elastic Stack
- User authorization
- Auditing security events
- Encrypting communications
- Restricting connections with IP filtering
- Cross cluster search, clients, and integrations
- Tutorial: Getting started with security
- Tutorial: Encrypting communications
- Troubleshooting
- Some settings are not returned via the nodes settings API
- Authorization exceptions
- Users command fails due to extra arguments
- Users are frequently locked out of Active Directory
- Certificate verification fails for curl on Mac
- SSLHandshakeException causes connections to fail
- Common SSL/TLS exceptions
- Common Kerberos exceptions
- Common SAML issues
- Internal Server Error in Kibana
- Setup-passwords command fails due to connection failure
- Failures due to relocation of the configuration files
- Limitations
- Alerting on cluster and index events
- Command line tools
- How To
- Testing
- Glossary of terms
- Release highlights
- Breaking changes
- Release notes
IMPORTANT: No additional bug fixes or documentation updates
will be released for this version. For the latest information, see the
current release documentation.
SHOW FUNCTIONS
editSHOW FUNCTIONS
editSynopsis.
DescriptionList all the SQL functions and their type. The LIKE
clause can be used to restrict the list of names to the given pattern.
SHOW FUNCTIONS; name | type -----------------+--------------- AVG |AGGREGATE COUNT |AGGREGATE FIRST |AGGREGATE FIRST_VALUE |AGGREGATE LAST |AGGREGATE LAST_VALUE |AGGREGATE MAX |AGGREGATE MIN |AGGREGATE SUM |AGGREGATE KURTOSIS |AGGREGATE PERCENTILE |AGGREGATE PERCENTILE_RANK |AGGREGATE SKEWNESS |AGGREGATE STDDEV_POP |AGGREGATE SUM_OF_SQUARES |AGGREGATE VAR_POP |AGGREGATE HISTOGRAM |GROUPING COALESCE |CONDITIONAL GREATEST |CONDITIONAL IFNULL |CONDITIONAL ISNULL |CONDITIONAL LEAST |CONDITIONAL NULLIF |CONDITIONAL NVL |CONDITIONAL CURDATE |SCALAR CURRENT_DATE |SCALAR CURRENT_TIMESTAMP|SCALAR DAY |SCALAR DAYNAME |SCALAR DAYOFMONTH |SCALAR DAYOFWEEK |SCALAR DAYOFYEAR |SCALAR DAY_NAME |SCALAR DAY_OF_MONTH |SCALAR DAY_OF_WEEK |SCALAR DAY_OF_YEAR |SCALAR DOM |SCALAR DOW |SCALAR DOY |SCALAR HOUR |SCALAR HOUR_OF_DAY |SCALAR IDOW |SCALAR ISODAYOFWEEK |SCALAR ISODOW |SCALAR ISOWEEK |SCALAR ISOWEEKOFYEAR |SCALAR ISO_DAY_OF_WEEK |SCALAR ISO_WEEK_OF_YEAR |SCALAR IW |SCALAR IWOY |SCALAR MINUTE |SCALAR MINUTE_OF_DAY |SCALAR MINUTE_OF_HOUR |SCALAR MONTH |SCALAR MONTHNAME |SCALAR MONTH_NAME |SCALAR MONTH_OF_YEAR |SCALAR NOW |SCALAR QUARTER |SCALAR SECOND |SCALAR SECOND_OF_MINUTE |SCALAR TODAY |SCALAR WEEK |SCALAR WEEK_OF_YEAR |SCALAR YEAR |SCALAR ABS |SCALAR ACOS |SCALAR ASIN |SCALAR ATAN |SCALAR ATAN2 |SCALAR CBRT |SCALAR CEIL |SCALAR CEILING |SCALAR COS |SCALAR COSH |SCALAR COT |SCALAR DEGREES |SCALAR E |SCALAR EXP |SCALAR EXPM1 |SCALAR FLOOR |SCALAR LOG |SCALAR LOG10 |SCALAR MOD |SCALAR PI |SCALAR POWER |SCALAR RADIANS |SCALAR RAND |SCALAR RANDOM |SCALAR ROUND |SCALAR SIGN |SCALAR SIGNUM |SCALAR SIN |SCALAR SINH |SCALAR SQRT |SCALAR TAN |SCALAR TRUNCATE |SCALAR ASCII |SCALAR BIT_LENGTH |SCALAR CHAR |SCALAR CHARACTER_LENGTH |SCALAR CHAR_LENGTH |SCALAR CONCAT |SCALAR INSERT |SCALAR LCASE |SCALAR LEFT |SCALAR LENGTH |SCALAR LOCATE |SCALAR LTRIM |SCALAR OCTET_LENGTH |SCALAR POSITION |SCALAR REPEAT |SCALAR REPLACE |SCALAR RIGHT |SCALAR RTRIM |SCALAR SPACE |SCALAR SUBSTRING |SCALAR UCASE |SCALAR CAST |SCALAR CONVERT |SCALAR DATABASE |SCALAR USER |SCALAR SCORE |SCORE
The list of functions returned can be customized based on the pattern.
It can be an exact match:
SHOW FUNCTIONS LIKE 'ABS'; name | type ---------------+--------------- ABS |SCALAR
A wildcard for exactly one character:
SHOW FUNCTIONS LIKE 'A__'; name | type ---------------+--------------- AVG |AGGREGATE ABS |SCALAR
A wildcard matching zero or more characters:
SHOW FUNCTIONS LIKE 'A%'; name | type ---------------+--------------- AVG |AGGREGATE ABS |SCALAR ACOS |SCALAR ASIN |SCALAR ATAN |SCALAR ATAN2 |SCALAR ASCII |SCALAR
Or of course, a variation of the above:
SHOW FUNCTIONS LIKE '%DAY%'; name | type ---------------+--------------- DAY |SCALAR DAYNAME |SCALAR DAYOFMONTH |SCALAR DAYOFWEEK |SCALAR DAYOFYEAR |SCALAR DAY_NAME |SCALAR DAY_OF_MONTH |SCALAR DAY_OF_WEEK |SCALAR DAY_OF_YEAR |SCALAR HOUR_OF_DAY |SCALAR ISODAYOFWEEK |SCALAR ISO_DAY_OF_WEEK|SCALAR MINUTE_OF_DAY |SCALAR TODAY |SCALAR
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