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  • YUGABYTEDB CORE
    • Quick start
      • 1. Install YugabyteDB
      • 2. Create a local cluster
      • 3. Explore distributed SQL
      • 4. Build an application
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    • Explore
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        • Introduction
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      • Cluster management
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    • Develop
      • Learn app development
        • 1. SQL vs NoSQL
        • 2. Data modeling
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        • 8. Strings and text
        • 9. TTL for data expiration
      • Real-world examples
        • E-Commerce app
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      • Explore sample apps
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    • Migrate
      • Migration process overview
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        • Convert a PostgreSQL schema
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    • Deploy
      • Deployment checklist
      • Manual deployment
        • 1. System configuration
        • 2. Install software
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        • 4. Start YB-TServers
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      • Kubernetes
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    • Benchmark
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        • Scaling queries
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    • Secure
      • Security checklist
      • Enable Authentication
        • Enable User Authentication
        • Configure ysql_hba_conf_csv
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      • Role-Based Access Control
        • Overview
        • Manage Users and Roles
        • Grant Privileges
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      • Encryption in Transit
        • Create server certificates
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        • Connect to Clusters
        • TLS and authentication
      • Encryption at rest
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      • Audit Logging
        • Configure Audit Logging
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      • Vulnerability disclosure policy
    • Manage
      • Back up and restore
        • Back up data
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    • Troubleshoot
      • Troubleshooting
      • Cluster level issues
        • YCQL connection issues
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        • Recover tserver/master
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        • Manual remote bootstrap when a majority of peers fail
      • Node level issues
        • Check servers
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    • Contribute
      • Core database
        • Contribution checklist
        • Build the source
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        • Coding style
  • YUGABYTE PLATFORM
    • Overview
      • Install
      • Configure
    • Install Yugabyte Platform
      • Prerequisites
      • Prepare the environment
      • Install software
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      • Uninstall software
    • Configure Yugabyte Platform
      • Create admin user
      • Configure the cloud provider
      • Configure the backup target
      • Configure alerts
    • Create deployments
      • Multi-zone universe
      • Multi-region universe
      • Multi-cloud universe
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    • Manage deployments
      • Start and stop processes
      • Add a node
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      • Enable high availability
      • Edit configuration flags
      • Edit a universe
      • Delete a universe
      • Configure instance tags
      • Upgrade YugabyteDB software
      • Migrate to Helm 3
    • Back up universes
      • Configure backup storage
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    • Security
      • Security checklist
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      • Create a KMS configuration
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      • Network security
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      • Alerts
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    • Troubleshoot
      • Install and upgrade issues
      • Universe issues
    • Administer Yugabyte Platform
      • Back Up Yugabyte Platform
      • Authenticate with LDAP
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      • Upgrade using Replicated
  • YUGABYTE CLOUD
    • Overview
    • Quick start
      • Create a free cluster
      • Connect to the cluster
      • Create a database
      • Explore distributed SQL
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        • Before you begin
        • Java
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    • Deploy clusters
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      • Slow YSQL queries
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    • Manage clusters
      • Backup and restore
      • Scale and configure clusters
      • Create extensions
    • Administer Yugabyte Cloud
      • Manage cloud users
      • Manage billing
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    • Example applications
      • Connect a Spring application
      • Connect a YCQL Java application
      • Hasura Cloud
      • Deploy a GraphQL application
    • Security architecture
      • Security architecture
      • Shared responsibility model
    • Troubleshoot
    • Yugabyte Cloud FAQ
    • What's new
  • INTEGRATIONS
    • Apache Kafka
    • Apache Spark
    • JanusGraph
    • KairosDB
    • Presto
    • Metabase
    • WSO2 Identity Server
    • YSQL Loader
    • Yugabyte JDBC Driver
    • Prisma
    • Hasura
      • Application Development
      • Benchmarking
    • Spring Framework
      • Spring Data YugabyteDB
      • Spring Data Cassandra
    • Flyway
    • GORM
    • Liquibase
    • Sequelize
    • SQLAlchemy
    • Entity Framework
    • Django REST framework
  • REFERENCE
    • Architecture
      • Design goals
      • Key concepts
        • Universe
        • YB-TServer Service
        • YB-Master Service
      • Core functions
        • Universe creation
        • Table creation
        • Write IO path
        • Read IO path
        • High availability
      • Layered architecture
      • Query layer
        • Overview
      • DocDB transactions layer
        • Transactions overview
        • Transaction isolation levels
        • Explicit locking
        • Read Committed
        • Single-row transactions
        • Distributed transactions
        • Transactional IO path
      • DocDB sharding layer
        • Hash & range sharding
        • Tablet splitting
        • Colocated tables
      • DocDB replication layer
        • Replication
        • xCluster replication
        • Read replicas
        • Change data capture (CDC)
      • DocDB storage layer
        • Persistence
        • Performance
    • APIs
      • YSQL
        • The SQL language
          • SQL statements
            • ABORT
            • ALTER DATABASE
            • ALTER DEFAULT PRIVILEGES
            • ALTER DOMAIN
            • ALTER GROUP
            • ALTER POLICY
            • ALTER ROLE
            • ALTER SEQUENCE
            • ALTER TABLE
            • ALTER USER
            • ANALYZE
            • BEGIN
            • CALL
            • COMMENT
            • COMMIT
            • COPY
            • CREATE AGGREGATE
            • CREATE CAST
            • CREATE DATABASE
            • CREATE DOMAIN
            • CREATE EXTENSION
            • CREATE FUNCTION
            • CREATE GROUP
            • CREATE INDEX
            • CREATE MATERIALIZED VIEW
            • CREATE OPERATOR
            • CREATE OPERATOR CLASS
            • CREATE POLICY
            • CREATE PROCEDURE
            • CREATE ROLE
            • CREATE RULE
            • CREATE SCHEMA
            • CREATE SEQUENCE
            • CREATE TABLE
            • CREATE TABLE AS
            • CREATE TRIGGER
            • CREATE TYPE
            • CREATE USER
            • CREATE VIEW
            • DEALLOCATE
            • DELETE
            • DO
            • DROP AGGREGATE
            • DROP CAST
            • DROP DATABASE
            • DROP DOMAIN
            • DROP EXTENSION
            • DROP FUNCTION
            • DROP GROUP
            • DROP MATERIALIZED VIEW
            • DROP OPERATOR
            • DROP OPERATOR CLASS
            • DROP OWNED
            • DROP POLICY
            • DROP PROCEDURE
            • DROP ROLE
            • DROP RULE
            • DROP SEQUENCE
            • DROP TABLE
            • DROP TRIGGER
            • DROP TYPE
            • DROP USER
            • END
            • EXECUTE
            • EXPLAIN
            • GRANT
            • INSERT
            • LOCK
            • PREPARE
            • REASSIGN OWNED
            • REFRESH MATERIALIZED VIEW
            • RELEASE SAVEPOINT
            • RESET
            • REVOKE
            • ROLLBACK
            • ROLLBACK TO SAVEPOINT
            • SAVEPOINT
            • SELECT
            • SET
            • SET CONSTRAINTS
            • SET ROLE
            • SET SESSION AUTHORIZATION
            • SET TRANSACTION
            • SHOW
            • SHOW TRANSACTION
            • TRUNCATE
            • UPDATE
            • VALUES
          • WITH clause
            • WITH clause—SQL syntax and semantics
            • recursive CTE
            • case study—traversing an employee hierarchy
            • traversing general graphs
              • graph representation
              • common code
              • undirected cyclic graph
              • directed cyclic graph
              • directed acyclic graph
              • rooted tree
              • Unique containing paths
              • Stress testing find_paths()
            • case study—Bacon Numbers from IMDb
              • Bacon numbers for synthetic data
              • Bacon numbers for IMDb data
        • Data types
          • Array
            • array[] constructor
            • Literals
              • Text typecasting and literals
              • Array of primitive values
              • Row
              • Array of rows
            • FOREACH loop (PL/pgSQL)
            • array of DOMAINs
            • Functions and operators
              • ANY and ALL
              • Array comparison
              • Array slice operator
              • Array concatenation
              • Array properties
              • array_agg(), unnest(), generate_subscripts()
              • array_fill()
              • array_position(), array_positions()
              • array_remove()
              • array_replace() / set value
              • array_to_string()
              • string_to_array()
          • Binary
          • Boolean
          • Character
          • Date and time
            • Conceptual background
            • Timezones and UTC offsets
              • Catalog views
              • Extended_timezone_names
                • Unrestricted full projection
                • Real timezones with DST
                • Real timezones no DST
                • Synthetic timezones no DST
              • Offset/timezone-sensitive operations
                • Timestamptz to/from timestamp conversion
                • Pure 'day' interval arithmetic
              • Four ways to specify offset
                • Name-resolution rules
                  • 1 case-insensitive resolution
                  • 2 ~names.abbrev never searched
                  • 3 'set timezone' string not resolved in ~abbrevs.abbrev
                  • 4 ~abbrevs.abbrev before ~names.name
                  • Helper functions
              • Syntax contexts for offset
              • Recommended practice
            • Typecasting between date-time and text-values
            • Semantics of the date-time data types
              • Date data type
              • Time data type
              • Plain timestamp and timestamptz
              • Interval data type
                • Interval representation
                  • Ad hoc examples
                  • Representation model
                • Interval value limits
                • Declaring intervals
                • Justify() and extract(epoch...)
                • Interval arithmetic
                  • Interval-interval comparison
                  • Interval-interval addition and subtraction
                  • Interval-number multiplication
                  • Moment-moment overloads of "-"
                  • Moment-interval overloads of "+" and "-"
                • Custom interval domains
                • Interval utility functions
            • Typecasting between date-time datatypes
            • Operators
              • Test comparison overloads
              • Test addition overloads
              • Test subtraction overloads
              • Test multiplication overloads
              • Test division overloads
            • General-purpose functions
              • Creating date-time values
              • Manipulating date-time values
              • Current date-time moment
              • Delaying execution
              • Miscellaneous
                • Function age()
                • Function extract() | date_part()
                • Implementations that model the overlaps operator
            • Formatting functions
            • Case study—SQL stopwatch
            • Download & install the date-time utilities
            • ToC
          • JSON
            • JSON literals
            • Primitive and compound data types
            • Code example conventions
            • Indexes and check constraints
            • Functions & operators
              • ::jsonb, ::json, ::text (typecast)
              • ->, ->>, #>, #>> (JSON subvalues)
              • - and #- (remove)
              • || (concatenation)
              • = (equality)
              • @> and <@ (containment)
              • ? and ?| and ?& (key or value existence)
              • array_to_json()
              • jsonb_agg()
              • jsonb_array_elements()
              • jsonb_array_elements_text()
              • jsonb_array_length()
              • jsonb_build_object()
              • jsonb_build_array()
              • jsonb_each()
              • jsonb_each_text()
              • jsonb_extract_path()
              • jsonb_extract_path_text() and json_extract_path_text()
              • jsonb_object()
              • jsonb_object_agg()
              • jsonb_object_keys()
              • jsonb_populate_record()
              • jsonb_populate_recordset()
              • jsonb_pretty()
              • jsonb_set() and jsonb_insert()
              • jsonb_strip_nulls()
              • jsonb_to_record()
              • jsonb_to_recordset()
              • jsonb_typeof()
              • row_to_json()
              • to_jsonb()
          • Money
          • Numeric
          • Range
          • Serial
          • UUID
        • Functions and operators
          • Aggregate functions
            • Informal functionality overview
            • Invocation syntax and semantics
            • grouping sets, rollup, cube
            • Per function signature and purpose
              • avg(), count(), max(), min(), sum()
              • array_agg(), string_agg(), jsonb_agg(), jsonb_object_agg()
              • bit_and(), bit_or(), bool_and(), bool_or()
              • variance(), var_pop(), var_samp(), stddev(), stddev_pop(), stddev_samp()
              • linear regression
                • covar_pop(), covar_samp(), corr()
                • regr_%()
              • mode(), percentile_disc(), percentile_cont()
              • rank(), dense_rank(), percent_rank(), cume_dist()
            • case study—percentile_cont() and the "68–95–99.7" rule
            • case study—linear regression on COVID data
              • Download the COVIDcast data
              • Ingest the COVIDcast data
                • Inspect the COVIDcast data
                • Copy the .csv files to staging tables
                • Check staged data conforms to the rules
                • Join the staged data into a single table
                • SQL scripts
                  • Create cr_staging_tables()
                  • Create cr_copy_from_scripts()
                  • Create assert_assumptions_ok()
                  • Create xform_to_covidcast_fb_survey_results()
                  • ingest-the-data.sql
              • Analyze the COVIDcast data
                • symptoms vs mask-wearing by day
                • Data for scatter-plot for 21-Oct-2020
                • Scatter-plot for 21-Oct-2020
                • SQL scripts
                  • analysis-queries.sql
                  • synthetic-data.sql
          • currval()
          • lastval()
          • nextval()
          • Window functions
            • Informal functionality overview
            • Invocation syntax and semantics
            • Per function signature and purpose
              • row_number(), rank() and dense_rank()
              • percent_rank(), cume_dist() and ntile()
              • first_value(), nth_value(), last_value()
              • lag(), lead()
              • Tables for the code examples
                • table t1
                • table t2
                • table t3
                • table t4
            • case study—analyzing a normal distribution
              • Bucket allocation scheme
              • do_clean_start.sql
              • cr_show_t4.sql
              • cr_dp_views.sql
              • cr_int_views.sql
              • cr_pr_cd_equality_report.sql
              • cr_bucket_using_width_bucket.sql
              • cr_bucket_dedicated_code.sql
              • do_assert_bucket_ok
              • cr_histogram.sql
              • cr_do_ntile.sql
              • cr_do_percent_rank.sql
              • cr_do_cume_dist.sql
              • do_populate_results.sql
              • do_report_results.sql
              • do_compare_dp_results.sql
              • do_demo.sql
              • Reports
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                • dp-results
                • compare-dp-results
                • int-results
          • yb_hash_code()
        • Extensions
        • Keywords
        • Reserved names
      • YCQL
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        • ALTER ROLE
        • ALTER TABLE
        • CREATE INDEX
        • CREATE KEYSPACE
        • CREATE ROLE
        • CREATE TABLE
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        • DROP INDEX
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        • Simple expressions
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        • Operators
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        • Integer and counter
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        • UUID and TIMEUUID
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    • CLIs
      • yb-ctl
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    • Sample datasets
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  • RELEASES
    • Releases overview
      • v2.13 series (latest)
      • v2.12 series (stable)
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SQL features
> Explore >

SQL features

Explore core SQL features in YSQL
Report a doc issue Suggest new content

YugabyteDB's YSQL API reuses a fork of the query layer of PostgreSQL as its starting point and runs on top of YugabyteDB's distributed storage layer called DocDB. This architecture allows YSQL to support most PostgreSQL features such as data types, queries, expressions, operators and functions, stored procedures, triggers, extensions, and so on, all of which are expected to work identically on both database systems.

Tip

A large portion of the documentation and examples written for PostgreSQL would work against YSQL.

The following diagram demonstrates how YugabyteDB reuses the PostgreSQL query layer of, specifically its components that receive the query (postman), the query parser, rewriter, analyzer, as well as components responsible for planning and executing the query. Some of these components have been modified to perform efficiently in a distributed SQL database.

Reusing the PostgreSQL query layer in YSQL

SQL Features in YSQL

The following table lists the most important YSQL features which you would find familiar if you have worked with PostgreSQL.

YSQL Feature Description
Schemas and Tables SQL shell with ysqlsh, users, databases, tables, and schemas
Data Types String, numeric, temporal types, SERIAL pseudo type, ENUM, arrays, composite types
DDL Statements Data definition language
Data Manipulation INSERT, UPDATE, DELETE, INSERT ... ON CONFLICT, and RETURNING clauses
Queries and Joins Queries, joins, FROM, GROUP BY, HAVING clauses, common table expressions, recursive queries
Expressions and Operators Basic operators and boolean, numeric, date expressions
Stored Procedures Support for stored procedures
Triggers Triggers (on data modification) and event triggers (on schema changes)

Advanced features in YSQL

The following table lists the advanced features in YSQL.

YSQL Feature Description
Cursors Declaration of cursors in YSQL
Table Partitioning List, range, and hash partitioning of tables
Views Views and updatable views
Savepoints Savepoints in YSQL
Collations Collations in YSQL
Extensions Pre-bundled extensions for YugabyteDB

Going beyond SQL

Since YugabyteDB is a distributed SQL database, YSQL has a number of features that are not present in PostgreSQL, as summarized in the following table.

YSQL Feature Description
Data distribution with HASH Enables the use of HASH sort order, in addition to ASC and DESC for indexes
Tablespaces Enables pinning of data in tables and table partitions to different geographic locations
Follower Reads Enables more read IOPS with low latencies in YugabyteDB clusters
Tablegroups Enables colocation of multiple smaller tables into one tablet for better performance
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