- Elasticsearch Guide: other versions:
- Elasticsearch introduction
- Getting started with Elasticsearch
- Set up Elasticsearch
- Installing Elasticsearch
- Configuring Elasticsearch
- Setting JVM options
- Secure settings
- Logging configuration
- Auditing settings
- Cross-cluster replication settings
- Transforms settings
- Index lifecycle management settings
- License settings
- Machine learning settings
- Monitoring settings
- Security settings
- Snapshot lifecycle management settings
- SQL access settings
- Watcher settings
- 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
- Full-cluster restart and rolling restart
- Set up X-Pack
- Configuring X-Pack Java Clients
- Bootstrap Checks for X-Pack
- Upgrade Elasticsearch
- 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
- String 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
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- IP Range Aggregation
- Missing Aggregation
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- Parent Aggregation
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- Reverse nested Aggregation
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- Significant Terms Aggregation
- Significant Text Aggregation
- Terms Aggregation
- Subtleties of bucketing range fields
- Pipeline Aggregations
- Avg Bucket Aggregation
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- Min Bucket Aggregation
- Sum Bucket Aggregation
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- Percentiles Bucket Aggregation
- Moving Average Aggregation
- Moving Function Aggregation
- Cumulative Sum Aggregation
- Cumulative Cardinality 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
- Indexing aggregation results with transforms
- Metrics Aggregations
- Query DSL
- Search across clusters
- Scripting
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- Text analysis
- Overview
- Concepts
- Configure text analysis
- Built-in analyzer reference
- Tokenizer reference
- Char Group Tokenizer
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- Path Hierarchy Tokenizer Examples
- Pattern Tokenizer
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- Simple Pattern Split Tokenizer
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- Token filter reference
- Apostrophe
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- Character filters reference
- Normalizers
- Modules
- Index modules
- Ingest node
- Pipeline Definition
- Accessing Data in Pipelines
- Conditional Execution in Pipelines
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- Enrich your data
- Processors
- Append Processor
- Bytes Processor
- Circle Processor
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- Date Index Name Processor
- Dissect Processor
- Dot Expander Processor
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- Join Processor
- JSON Processor
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- Lowercase Processor
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- Remove Processor
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- Script Processor
- Set Processor
- Set Security User Processor
- Split Processor
- Sort Processor
- Trim Processor
- Uppercase Processor
- URL Decode Processor
- User Agent processor
- ILM: Manage the index lifecycle
- SQL access
- Overview
- Getting Started with SQL
- Conventions and Terminology
- Security
- SQL REST API
- SQL Translate API
- SQL CLI
- SQL JDBC
- SQL ODBC
- SQL Client Applications
- SQL Language
- Functions and Operators
- Comparison Operators
- Logical Operators
- Math Operators
- Cast Operators
- LIKE and RLIKE Operators
- Aggregate Functions
- Grouping Functions
- Date/Time and Interval Functions and Operators
- Full-Text Search Functions
- Mathematical Functions
- String Functions
- Type Conversion Functions
- Geo Functions
- Conditional Functions And Expressions
- System Functions
- Reserved keywords
- SQL Limitations
- Monitor a cluster
- Frozen indices
- Roll up or transform your data
- Set up a cluster for high availability
- Snapshot and restore
- Secure a cluster
- Overview
- Configuring security
- 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
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- OpenID Connect 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
- Configuring single sign-on to the Elastic Stack using OpenID Connect
- User authorization
- Built-in roles
- Defining roles
- Security privileges
- Document level security
- Field level security
- Granting privileges for indices and aliases
- Mapping users and groups to roles
- Setting up field and document level security
- Submitting requests on behalf of other users
- Configuring authorization delegation
- Customizing roles and authorization
- Enabling audit logging
- 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
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- Limitations
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- Index alias exists
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- Add events to calendar
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- Get buckets
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- Machine learning data frame analytics APIs
- Create data frame analytics jobs
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- Evaluate data frame analytics
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- Migration APIs
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- OpenID Connect Prepare Authentication API
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- SSL certificate
- Snapshot and restore APIs
- Snapshot lifecycle management API
- Transform APIs
- Usage API
- Watcher APIs
- Definitions
- Release highlights
- Breaking changes
- Release notes
- Elasticsearch version 7.6.2
- Elasticsearch version 7.6.1
- Elasticsearch version 7.6.0
- Elasticsearch version 7.5.2
- Elasticsearch version 7.5.1
- Elasticsearch version 7.5.0
- Elasticsearch version 7.4.2
- Elasticsearch version 7.4.1
- Elasticsearch version 7.4.0
- Elasticsearch version 7.3.2
- Elasticsearch version 7.3.1
- Elasticsearch version 7.3.0
- Elasticsearch version 7.2.1
- Elasticsearch version 7.2.0
- Elasticsearch version 7.1.1
- Elasticsearch version 7.1.0
- Elasticsearch version 7.0.0
- Elasticsearch version 7.0.0-rc2
- Elasticsearch version 7.0.0-rc1
- Elasticsearch version 7.0.0-beta1
- Elasticsearch version 7.0.0-alpha2
- Elasticsearch version 7.0.0-alpha1
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:
Description: List 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 MAD |AGGREGATE PERCENTILE |AGGREGATE PERCENTILE_RANK |AGGREGATE SKEWNESS |AGGREGATE STDDEV_POP |AGGREGATE SUM_OF_SQUARES |AGGREGATE VAR_POP |AGGREGATE HISTOGRAM |GROUPING CASE |CONDITIONAL COALESCE |CONDITIONAL GREATEST |CONDITIONAL IFNULL |CONDITIONAL IIF |CONDITIONAL ISNULL |CONDITIONAL LEAST |CONDITIONAL NULLIF |CONDITIONAL NVL |CONDITIONAL CURDATE |SCALAR CURRENT_DATE |SCALAR CURRENT_TIME |SCALAR CURRENT_TIMESTAMP|SCALAR CURTIME |SCALAR DATEADD |SCALAR DATEDIFF |SCALAR DATEPART |SCALAR DATETRUNC |SCALAR DATE_ADD |SCALAR DATE_DIFF |SCALAR DATE_PART |SCALAR DATE_TRUNC |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 TIMESTAMPADD |SCALAR TIMESTAMPDIFF |SCALAR TIMESTAMP_ADD |SCALAR TIMESTAMP_DIFF |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 TRUNC |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 ST_ASTEXT |SCALAR ST_ASWKT |SCALAR ST_DISTANCE |SCALAR ST_GEOMETRYTYPE |SCALAR ST_GEOMFROMTEXT |SCALAR ST_WKTTOSQL |SCALAR ST_X |SCALAR ST_Y |SCALAR ST_Z |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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