Join us on YugabyteDB Community Slack
Star us on
Get Started
Slack
GitHub
Get Started
v2.13 (latest) v2.12 (stable) v2.8 (earlier version) v2.6 (earlier version) v2.4 (earlier version) v2.2 (earlier version) v2.1 (earlier version) v2.0 (earlier version) v1.3 (earlier version)
  • YUGABYTEDB CORE
    • Quick start
      • 1. Install YugabyteDB
      • 2. Create a local cluster
      • 3. Explore distributed SQL
      • 4. Build an application
        • Java
        • Node.js
        • Go
        • Python
        • Ruby
        • C#
        • PHP
        • C++
        • C
        • Scala
    • Explore
      • SQL features
        • Schemas and Tables
        • Data Types
        • Data Manipulation
        • Queries and Joins
        • Expressions and Operators
        • Stored Procedures
        • Triggers
        • Advanced features
          • Cursors
          • Table Partitioning
          • Views
          • Savepoints
          • Collations
          • Extensions
        • Going beyond SQL
          • Follower reads
          • Tablespaces
      • Fault tolerance
      • Horizontal scalability
        • Scaling Transactions
        • Sharding Data
      • Transactions
        • Distributed Transactions
        • Isolation Levels
        • Explicit Locking
      • Indexes and Constraints
        • Overview
        • Unique Indexes
        • Partial Indexes
        • Expression Indexes
        • Generalized Inverted Indexes
        • Primary Key
        • Foreign Key
        • Other Constraints
      • JSON support
      • Multi-region deployments
        • Sync replication (3+ regions)
        • Async Replication (2+ regions)
        • Row-Level Geo-Partitioning
        • Read replicas
      • Query tuning
        • Introduction
        • Get query statistics using pg_stat_statements
        • Viewing live queries with pg_stat_activity
        • Analyzing queries with EXPLAIN
        • Optimizing YSQL queries using pg_hint_plan
      • Cluster management
        • Point-in-time recovery
      • Security
      • Observability
        • Prometheus Integration
        • Grafana Dashboard
    • Develop
      • Learn app development
        • 1. SQL vs NoSQL
        • 2. Data modeling
        • 3. Data types
        • 4. ACID transactions
        • 5. Aggregations
        • 6. Batch operations
        • 7. Date and time
        • 8. Strings and text
        • 9. TTL for data expiration
      • Real-world examples
        • E-Commerce app
        • IoT fleet management
      • Explore sample apps
      • Best practices
      • Cloud-native development
        • Codespaces
        • Gitpod
    • Migrate
      • Migration process overview
      • Migrate from PostgreSQL
        • Convert a PostgreSQL schema
        • Migrate a PostgreSQL application
        • Export PostgreSQL data
        • Prepare a cluster
        • Import PostgreSQL data
        • Verify Migration
    • Deploy
      • Deployment checklist
      • Manual deployment
        • 1. System configuration
        • 2. Install software
        • 3. Start YB-Masters
        • 4. Start YB-TServers
        • 5. Verify deployment
      • Kubernetes
        • Single-zone
          • Open Source
          • Amazon EKS
          • Google Kubernetes Engine
          • Azure Kubernetes Service
        • Multi-zone
          • Amazon EKS
          • Google Kubernetes Engine
        • Multi-cluster
          • Google Kubernetes Engine
        • Best practices
        • Connect Clients
      • Docker
      • Public clouds
        • Amazon Web Services
        • Google Cloud Platform
        • Microsoft Azure
      • Multi-DC deployments
        • Three+ data center (3DC)
        • Asynchronous Replication
        • Read replica clusters
    • Benchmark
      • TPC-C
      • sysbench
      • YCSB
      • Key-value workload
      • Large datasets
      • Scalability
        • Scaling queries
      • Resilience
        • Jepsen testing
      • Performance Troubleshooting
    • Secure
      • Security checklist
      • Enable Authentication
        • Enable User Authentication
        • Configure ysql_hba_conf_csv
      • Authentication Methods
        • Password Authentication
        • LDAP Authentication
        • Host-Based Authentication
        • Trust Authentication
      • Role-Based Access Control
        • Overview
        • Manage Users and Roles
        • Grant Privileges
        • Row-Level Security (RLS)
        • Column-Level Security
      • Encryption in Transit
        • Create server certificates
        • Enable server-to-server encryption
        • Enable client-to-server encryption
        • Connect to Clusters
        • TLS and authentication
      • Encryption at rest
      • Column-level encryption
      • Audit Logging
        • Configure Audit Logging
        • Session-Level Audit Logging
        • Object-Level Audit Logging
      • Vulnerability disclosure policy
    • Manage
      • Back up and restore
        • Back up data
        • Restore data
        • Point-in-time recovery
        • Snapshot and restore data
      • Migrate data
        • Bulk import
        • Bulk export
      • Change cluster configuration
      • Diagnostics reporting
      • Upgrade a deployment
      • Grow cluster
    • Troubleshoot
      • Troubleshooting
      • Cluster level issues
        • YCQL connection issues
        • YEDIS connection Issues
        • Recover tserver/master
        • Replace a failed YB-TServer
        • Replace a failed YB-Master
        • Manual remote bootstrap when a majority of peers fail
      • Node level issues
        • Check servers
        • Inspect logs
        • System statistics
        • Disk failure
        • Common error messages
    • Contribute
      • Core database
        • Contribution checklist
        • Build the source
        • Configure a CLion project
        • Run the tests
        • Coding style
  • YUGABYTE PLATFORM
    • Overview
      • Install
      • Configure
    • Install Yugabyte Platform
      • Prerequisites
      • Prepare the environment
      • Install software
      • Prepare nodes (on-prem)
      • 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
      • Read replica cluster
      • Asynchronous replication
    • Manage deployments
      • Start and stop processes
      • Add a node
      • Eliminate an unresponsive node
      • 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
      • Back up universe data
      • Restore universe data
      • Schedule data backups
    • Security
      • Security checklist
      • Customize ports
      • LDAP authentication
      • Authorization platform
      • Create a KMS configuration
      • Enable encryption at rest
      • Enable encryption in transit (TLS)
      • Network security
    • Alerts and monitoring
      • Alerts
      • Live Queries dashboard
      • Slow Queries dashboard
    • Troubleshoot
      • Install and upgrade issues
      • Universe issues
    • Administer Yugabyte Platform
      • Back Up Yugabyte Platform
      • Authenticate with LDAP
    • Upgrade Yugabyte Platform
      • Upgrade using Replicated
  • YUGABYTE CLOUD
    • Overview
    • Quick start
      • Create a free cluster
      • Connect to the cluster
      • Create a database
      • Explore distributed SQL
      • Build an application
        • Before you begin
        • Java
        • Go
        • Python
        • Node.js
        • C
        • C++
        • C#
        • Ruby
        • Rust
        • PHP
    • Deploy clusters
      • Planning a cluster
      • Create a free cluster
      • Create a standard cluster
      • VPC network
        • Overview
        • Set up a VPC network
        • VPCs
        • Peering Connections
    • Secure clusters
      • IP allow lists
      • Database authorization
      • Add database users
      • Encryption in transit
      • Audit cloud activity
    • Connect to clusters
      • Cloud Shell
      • Client shell
      • Connect applications
    • Alerts and monitoring
      • Alerts
      • Performance metrics
      • Live queries
      • Slow YSQL queries
      • Cluster activity
    • Manage clusters
      • Backup and restore
      • Scale and configure clusters
      • Create extensions
    • Administer Yugabyte Cloud
      • Manage cloud users
      • Manage billing
      • Cluster costs
    • 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
                • Histogram report
                • dp-results
                • compare-dp-results
                • int-results
          • yb_hash_code()
        • Extensions
        • Keywords
        • Reserved names
      • YCQL
        • ALTER KEYSPACE
        • ALTER ROLE
        • ALTER TABLE
        • CREATE INDEX
        • CREATE KEYSPACE
        • CREATE ROLE
        • CREATE TABLE
        • CREATE TYPE
        • DROP INDEX
        • DROP KEYSPACE
        • DROP ROLE
        • DROP TABLE
        • DROP TYPE
        • GRANT PERMISSION
        • GRANT ROLE
        • REVOKE PERMISSION
        • REVOKE ROLE
        • USE
        • INSERT
        • SELECT
        • EXPLAIN
        • UPDATE
        • DELETE
        • TRANSACTION
        • TRUNCATE
        • Simple expressions
        • Subscripted expressions
        • Function call
        • Operators
        • BLOB
        • BOOLEAN
        • Collection
        • FROZEN
        • INET
        • Integer and counter
        • Non-integer
        • TEXT
        • DATE, TIME, and TIMESTAMP
        • UUID and TIMEUUID
        • JSONB
        • Date and time
        • BATCH
    • CLIs
      • yb-ctl
      • yb-docker-ctl
      • ysqlsh
      • ycqlsh
      • yb-admin
      • yb-ts-cli
      • ysql_dump
      • ysql_dumpall
    • Configuration
      • yb-tserver
      • yb-master
      • yugabyted
      • Default ports
    • Drivers
      • Client drivers for YSQL
      • Client drivers for YCQL
    • Connectors
      • Kafka Connect YugabyteDB
    • Third party tools
      • Arctype
      • DBeaver
      • DbSchema
      • pgAdmin
      • SQL Workbench/J
      • TablePlus
      • Visual Studio Code
    • Sample datasets
      • Chinook
      • Northwind
      • PgExercises
      • SportsDB
      • Retail Analytics
  • RELEASES
    • Releases overview
      • v2.13 series (latest)
      • v2.12 series (stable)
      • v2.11 series
      • v2.9 series
      • v2.8 series
      • v2.7 series
      • v2.6 series
      • v2.5 series
      • v2.4 series
      • v2.3 series
      • v2.2 series
      • v2.1 series
      • v2.0 series
      • v1.3 series
      • v1.2 series
    • Release versioning
  • FAQ
    • Comparisons
      • Amazon Aurora
      • Google Cloud Spanner
      • CockroachDB
      • TiDB
      • Vitess
      • MongoDB
      • FoundationDB
      • Amazon DynamoDB
      • Azure Cosmos DB
      • Apache Cassandra
      • PostgreSQL
      • Redis in-memory store
      • Apache HBase
    • General FAQ
    • Operations FAQ
    • API compatibility FAQ
    • Yugabyte Platform FAQ
  • MISC
    • YEDIS
      • Quick start
      • Develop
        • Build an application
        • C#
        • C++
        • Go
        • Java
        • NodeJS
        • Python
      • API reference
        • APPEND
        • AUTH
        • CONFIG
        • CREATEDB
        • DELETEDB
        • LISTDB
        • SELECT
        • DEL
        • ECHO
        • EXISTS
        • EXPIRE
        • EXPIREAT
        • FLUSHALL
        • FLUSHDB
        • GET
        • GETRANGE
        • GETSET
        • HDEL
        • HEXISTS
        • HGET
        • HGETALL
        • HINCRBY
        • HKEYS
        • HLEN
        • HMGET
        • HMSET
        • HSET
        • HSTRLEN
        • HVALS
        • INCR
        • INCRBY
        • KEYS
        • MONITOR
        • PEXPIRE
        • PEXPIREAT
        • PTTL
        • ROLE
        • SADD
        • SCARD
        • RENAME
        • SET
        • SETEX
        • PSETEX
        • SETRANGE
        • SISMEMBER
        • SMEMBERS
        • SREM
        • STRLEN
        • ZRANGE
        • TSADD
        • TSCARD
        • TSGET
        • TSLASTN
        • TSRANGEBYTIME
        • TSREM
        • TSREVRANGEBYTIME
        • TTL
        • ZADD
        • ZCARD
        • ZRANGEBYSCORE
        • ZREM
        • ZREVRANGE
        • ZSCORE
        • PUBSUB
        • PUBLISH
        • SUBSCRIBE
        • UNSUBSCRIBE
        • PSUBSCRIBE
        • PUNSUBSCRIBE
    • Legal
      • Third party software
The WITH clause and common table expressions (a.k.a. CTEs) [YSQL]
> APIs > YSQL > The SQL language >

The WITH clause and common table expressions

Report a doc issue Suggest new content

A WITH clause can be used as part of a SELECT statement, an INSERT statement, an UPDATE statement, or a DELETE statement. For this reason, the functionality is described in this dedicated section.

Introduction

The WITH clause lets you name one or several so-called common table expressions. This latter term is a term of art, and doesn't reflect the spellings of SQL keywords. It is normally abbreviated to CTE, and this acronym will be used throughout the rest of the whole of this "WITH clause" section. See the section WITH clause—SQL syntax and semantics for the formal treatment.

Briefly, a CTE names a SQL [sub]statement which may be any of these kinds: SELECT, VALUES, INSERT, UPDATE, or DELETE. And the WITH clause is legal at the start of any of these kinds of statement : SELECT, INSERT, UPDATE, or DELETE. (VALUES is missing from the second list.) There are two kinds of CTE: the ordinary kind; and the recursive kind.

The statement text that the ordinary kind of CTE names has the same syntax as the corresponding SQL statement that you issue at top level. However, a recursive CTE may be used only in a WITH clause.

A CTE can, for example, be used to provide values for, say, an INSERT like this:

set client_min_messages = warning;
drop table if exists t1 cascade;
create table t1(k int primary key, v int not null);

with a(k, v) as (
  select g.v, g.v*2 from generate_series(11, 20) as g(v)
  )
insert into t1
select k, v from a;

select k, v from t1 order by k;

This component is an example of a CTE:

a(k, v) as (select g.v, g.v*2 from generate_series(11, 20) as g(v))

Notice the (optional) parenthesised parameter list that follows the name, just as in the definition of a schema-level VIEW.

This is the result:

 k  | v  
----+----
 11 | 22
 12 | 24
 13 | 26
 14 | 28
 15 | 30
 16 | 32
 17 | 34
 18 | 36
 19 | 38
 20 | 40

When a data-changing [sub]statement (INSERT, UPDATE , or DELETE) is named in a CTE, and, when it uses a RETURNING clause, the returned values can be used in other CTEs and in the overall statement's final [sub]statement. Here is an example.

set client_min_messages = warning;
drop table if exists t2 cascade;
create table t2(k int primary key, v int not null);

with moved_rows(k, v) as (
  delete from t1
  where k > 15
  returning k, v)
insert into t2(k, v)
select k, v from moved_rows;

(
  select 't1' as table_name, k, v from t1
  union all
  select 't2' as table_name, k, v from t2
  )
order by table_name, k;

This is the result:

 table_name | k  | v  
------------+----+----
 t1         | 11 | 22
 t1         | 12 | 24
 t1         | 13 | 26
 t1         | 14 | 28
 t1         | 15 | 30
 t2         | 16 | 32
 t2         | 17 | 34
 t2         | 18 | 36
 t2         | 19 | 38
 t2         | 20 | 40

The central notion is that each CTE that you name in a WITH clause can then be invoked by its name, either in a subsequent CTE in that WITH clause or in the overall statement's final, main, [sub]statement. In this way, a CTE is analogous, in the declarative programming domain of SQL, to a procedure or a function in the domain of an "if-then-else" programming language, bringing the modular programming benefit of hiding names, and the implementations that they stand for, from scopes that have no interest in them.

Finally, the use of a recursive CTE in a WITH clause enables advanced functionality, like graph analysis. For example, an "employees" table often has a self-referential foreign key like "manager_id" that points to the table's primary key, "employee_id". SELECT statements that use a recursive CTE allow the reporting structure to be presented in various ways. This result shows the reporting paths of employees, in an organization with a strict hierarchical reporting scheme, in depth-first order. See the section Pretty-printing the top-down depth-first report of paths.

 emps hierarchy 
----------------
 mary
   fred
     alfie
     dick
   george
   john
     alice
     bill
       joan
     edgar
   susan

The remainder of this section has the following subsections:

  • WITH clause—SQL syntax and semantics

  • The recursive CTE

  • Case study—Using a recursive CTE to traverse an employee hierarchy

  • Using a recursive CTE to traverse graphs of all kinds

  • Case study—using a recursive CTE to compute Bacon Numbers for actors listed in the IMDb

Performance considerations.

A SQL statement that uses a WITH clause sometimes gets a worse execution plan than the semantically equivalent statement that doesn’t use a WITH clause. The explanation is usually that a “push-down” optimization of a restriction or projection hasn’t penetrated into the WITH clause’s CTE. You can usually avoid this problem by manually pushing down what you’d hope would be done automatically into your spellings of the WITH clause’s CTEs.

Anyway, the ordinary good practice principle holds even more here: always check the execution plans of the SQL statements that your application issues, on representative samples of data, before moving the code to the production environment.

Download a zip of WITH clause demonstration scripts

The recursive-cte-code-examples.zip file contains the .sql scripts that illustrate the use of the recursive CTE:

  • Case study—Using a recursive CTE to traverse an employee hierarchy

  • Using a recursive CTE to traverse graphs of all kinds

  • Case study—using a recursive CTE to compute Bacon Numbers for actors listed in the IMDb.

All of these studies make heavy use of regular (i.e. non-recursive) CTEs. They therefore show the power of the CTE in a natural, rather than a contrived, way.

After unzipping it on a convenient new directory, you'll see a README.txt. It tells you how to start, in turn, a few master-scripts. Simply start each in ysqlsh. You can run these time and again. Each one always finishes silently. You can see the reports that they produce on the dedicated spool directories and confirm that the files that are spooled are identical to the corresponding reference copies that are delivered in the zip-file.

Ask our community
  • Slack
  • Github
  • Forum
  • StackOverflow
Yugabyte
Contact us

Copyright © 2017-2022 Yugabyte, Inc. All rights reserved.