Join us on YugabyteDB Community Slack
Star us on
Get Started
Slack
GitHub
Get Started
v2.7 (latest) v2.4 (stable) 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
        • NodeJS
        • Go
        • Python
        • Ruby
        • C#
        • PHP
        • C++
        • C
        • Scala
    • Explore features
      • YSQL vs PostgreSQL
        • Schemas and Tables
        • Data Types
        • Data Manipulation
        • Queries and Joins
        • Expressions and Operators
        • Cursors
        • Stored Procedures
        • Triggers
        • Table Partitioning
        • Tablespaces
        • Views
      • Fault tolerance
      • Horizontal Scalability
        • Scaling Transactions
        • Sharding Data
      • Transactions
        • Distributed Transactions
        • Isolation Levels
        • Explicit Locking
      • JSON Support
      • Multi-Region Deployments
        • Sync replication (3+ regions)
        • Async Replication (2+ regions)
        • Row-Level Geo-Partitioning
      • Query Tuning
        • Analyzing Queries with EXPLAIN
        • Viewing live queries with pg_stat_activity
        • Optimizing YSQL queries using pg_hint_plan
      • Follower reads
      • Colocated tables
      • Change data capture (CDC)
      • Extensions
      • Observability
        • Prometheus Integration
      • Security
    • 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
      • Ecosystem integrations
        • Apache Kafka
        • Spring Framework
        • Apache Spark
        • JanusGraph
        • KairosDB
        • Hasura
        • Presto
        • Metabase
      • Build GraphQL apps
        • Hasura
        • Prisma
      • Real-world examples
        • E-Commerce app
        • IoT fleet management
        • Retail Analytics
      • Explore sample apps
      • Best practices
    • 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)
        • Two data center (2DC)
        • Read replica clusters
      • Change data capture (CDC)
        • CDC to Kafka
    • 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
      • 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 restore
        • Snapshot and restore data
      • Migrate data
        • Bulk import
        • Bulk export
      • Change cluster configuration
      • Diagnostics reporting
      • Upgrade a deployment
      • Grow cluster
    • Troubleshoot
      • Troubleshooting
      • Common error messages
      • 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
    • Contribute
      • Core database
        • Contribution checklist
        • Build the source
        • Configure a CLion project
        • Run the tests
  • YUGABYTE PLATFORM
    • 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 and health checking
        • Create and edit instance tags
      • Create deployments
        • Multi-zone universe
        • Multi-region universe
        • Read replica cluster
      • Manage deployments
        • Start and stop processes
        • Add a node
        • Enable high availability
        • Remove a node
        • Edit a universe
        • Edit configuration flags
        • Upgrade the YugabyteDB software
        • Delete a universe
        • Migrate to Helm 3
      • Back up and restore universes
        • Configure backup storage
        • Back up universe data
        • Restore universe data
        • Schedule data backups
      • Security
        • Security checklist
        • Customize ports
        • Authorization platform
        • Create a KMS configuration
        • Enable encryption at rest
        • Enable encryption in transit (TLS)
        • Network security
      • Alerts and monitoring
        • Live Queries dashboard
        • Slow Queries dashboard
      • Troubleshoot
        • Install and upgrade issues
        • Universe issues
      • Administer Yugabyte Platform
        • Back Up and Restore Yugabyte Platform
  • YUGABYTE CLOUD
    • Yugabyte Cloud
      • Free tier
      • Create clusters
      • Monitor clusters
      • Create databases
      • Manage database access
      • Connect to clusters
  • REFERENCE
    • 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
        • 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
            • BEGIN
            • CALL
            • COMMENT
            • COMMIT
            • COPY
            • CREATE AGGREGATE
            • CREATE CAST
            • CREATE DATABASE
            • CREATE DOMAIN
            • CREATE EXTENSION
            • CREATE FUNCTION
            • CREATE GROUP
            • CREATE INDEX
            • 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 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
            • RESET
            • REVOKE
            • ROLLBACK
            • 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
          • 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
        • 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 API
      • YugabyteDB JDBC Driver
      • Client drivers for YCQL
      • Spring Data YugabyteDB
    • Connectors
      • Kafka Connect YugabyteDB
    • Third party tools
      • DBeaver
      • DbSchema
      • pgAdmin
      • SQL Workbench/J
      • TablePlus
      • Visual Studio Code
    • Sample datasets
      • Chinook
      • Northwind
      • PgExercises
      • SportsDB
  • RELEASES
    • Releases
    • Releases overview
    • Release versioning
    • What's new
      • v2.7 (latest)
      • v2.4 (stable)
    • Earlier releases
      • v2.5 series
      • v2.3.3
      • v2.3.2
      • v2.3.1
      • v2.3.0
      • v2.2.0 series
      • v2.1.8
      • v2.1.6
      • v2.1.5
      • v2.1.4
      • v2.1.3
      • v2.1.2
      • v2.1.1
      • v2.1.0
      • v2.0.11
      • v2.0.10
      • v2.0.9
      • v2.0.8
      • v2.0.7
      • v2.0.6
      • v2.0.5
      • v2.0.3
      • v2.0.1
      • v2.0.0
      • v1.3.1
      • v1.3.0
      • v1.2.12
      • v1.2.11
      • v1.2.10
      • v1.2.9
      • v1.2.8
      • v1.2.6
      • v1.2.5
      • v1.2.4
  • 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
    • FAQs
      • 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
> APIs > YCQL >

UPDATE

  • Synopsis
  • Syntax
    • Diagram
    • using_expression
    • ttl_or_timestamp_expression
  • Semantics
    • WHERE clause
    • IF clause
    • USING clause
  • Examples
    • Update a value in a table
    • Conditional update using the IF clause
    • Update with expiration time using the USING TTL clause.
    • Update row with the USING TIMESTAMP clause
    • RETURNS STATUS AS ROW
  • See also

Synopsis

Use the UPDATE statement to update one or more column values for a row in table.

Note

YugabyteDB can only update one row at a time. Updating multiple rows is currently not supported.

Syntax

Diagram

UPDATEtable_nameUSINGusing_expressionSET,assignmentWHEREwhere_expressionIFNOTEXISTSif_expressionRETURNS STATUS AS ROW

using_expression

using_expression = ttl_or_timestamp_expression { 'AND' ttl_or_timestamp_expression };

ANDttl_or_timestamp_expression

ttl_or_timestamp_expression

ttl_or_timestamp_expression = 'TTL' ttl_expression | 'TIMESTAMP' timestamp_expression;

TTLttl_expressionTIMESTAMPtimestamp_expression

update ::= UPDATE table_name [ USING using_expression ] SET assignment 
               [ , ... ]  WHERE where_expression 
               [ IF { [ NOT ] EXISTS | if_expression } ] 
               [ RETURNS STATUS AS ROW ]


assignment ::= { column_name | column_name'['index_expression']' } '=' expression

Where

  • table_name is an identifier (possibly qualified with a keyspace name).
  • Restrictions for ttl_expression, where_expression, and if_expression are covered in the Semantics section below.
  • See Expressions for more information on syntax rules.

Semantics

  • An error is raised if the specified table_name does not exist.
  • Update statement uses upsert semantics, meaning it inserts the row being updated if it does not already exists.
  • The USING TIMESTAMP clause indicates you would like to perform the UPDATE as if it was done at the timestamp provided by the user. The timestamp is the number of microseconds since epoch.
  • NOTE: You should either use the USING TIMESTAMP clause in all of your statements or none of them. Using a mix of statements where some have USING TIMESTAMP and others do not will lead to very confusing results.
  • Updating rows USING TTL is not supported on tables with transactions enabled.

WHERE clause

  • The where_expression and if_expression must evaluate to boolean values.
  • The where_expression must specify conditions for all primary-key columns.
  • The where_expression must not specify conditions for any regular columns.
  • The where_expression can only apply AND and = operators. Other operators are not yet supported.

IF clause

  • The if_expression can only apply to non-key columns (regular columns).
  • The if_expression can contain any logical and boolean operators.

USING clause

  • ttl_expression must be an integer value (or a bind variable marker for prepared statements).
  • timestamp_expression must be an integer value (or a bind variable marker for prepared statements).

Examples

Update a value in a table

ycqlsh:example> CREATE TABLE employees(department_id INT, 
                                      employee_id INT, 
                                      name TEXT, 
                                      age INT, 
                                      PRIMARY KEY(department_id, employee_id));
ycqlsh:example> INSERT INTO employees(department_id, employee_id, name, age) VALUES (1, 1, 'John', 30);

Update the value of a non primary-key column.

ycqlsh:example> UPDATE employees SET name = 'Jack' WHERE department_id = 1 AND employee_id = 1;

Using upsert semantics to update a non-existent row (i.e. insert the row).

ycqlsh:example> UPDATE employees SET name = 'Jane', age = 40 WHERE department_id = 1 AND employee_id = 2;
ycqlsh:example> SELECT * FROM employees;
 department_id | employee_id | name | age
---------------+-------------+------+-----
             1 |           1 | Jack |  30
             1 |           2 | Jane |  40

Conditional update using the IF clause

The supported expressions are allowed in the 'SET' assignment targets.

ycqlsh:example> UPDATE employees SET age = age + 1 WHERE department_id = 1 AND employee_id = 1 IF name = 'Jack';
 [applied]
-----------
      True

Using upsert semantics to add a row, age is not set so will be 'null'.

ycqlsh:example> UPDATE employees SET name = 'Joe' WHERE department_id = 2 AND employee_id = 1 IF NOT EXISTS;
 [applied]
-----------
      True
ycqlsh:example> SELECT * FROM employees;
 department_id | employee_id | name | age
---------------+-------------+------+------
             2 |           1 |  Joe | null
             1 |           1 | Jack |   31
             1 |           2 | Jane |   40

Update with expiration time using the USING TTL clause.

The updated values will persist for the TTL duration.

ycqlsh:example> UPDATE employees USING TTL 10 SET age = 32 WHERE department_id = 1 AND employee_id = 1;
ycqlsh:example> SELECT * FROM employees WHERE department_id = 1 AND employee_id = 1;
 department_id | employee_id | name | age
---------------+-------------+------+------
             1 |           1 | Jack |   32

11 seconds after the update (value will have expired).

ycqlsh:example> SELECT * FROM employees WHERE department_id = 1 AND employee_id = 1;
 department_id | employee_id | name | age
---------------+-------------+------+------
             1 |           1 | Jack | null

Update row with the USING TIMESTAMP clause

You can do this as shown below.

ycqlsh:foo> INSERT INTO employees(department_id, employee_id, name, age) VALUES (1, 4, 'Jeff', 20) USING TIMESTAMP 1000;
ycqlsh:foo> SELECT * FROM employees;
 department_id | employee_id | name | age
---------------+-------------+------+------
             1 |           1 | Jack | null
             1 |           2 | Jane |   40
             1 |           4 | Jeff |   20
             2 |           1 |  Joe | null

(4 rows)

Now update the employees table.

ycqlsh:foo> UPDATE employees USING TIMESTAMP 500 SET age = 30 WHERE department_id = 1 AND employee_id = 4;

Not applied since timestamp is lower than 1000.

ycqlsh:foo> SELECT * FROM employees;
 department_id | employee_id | name | age
---------------+-------------+------+------
             1 |           1 | Jack | null
             1 |           2 | Jane |   40
             1 |           4 | Jeff |   20
             2 |           1 |  Joe | null

(4 rows)
ycqlsh:foo> UPDATE employees USING TIMESTAMP 1500 SET age = 30 WHERE department_id = 1 AND employee_id = 4;

Applied since timestamp is higher than 1000.

ycqlsh:foo> SELECT * FROM employees;
 department_id | employee_id | name | age
---------------+-------------+------+------
             1 |           1 | Jack | null
             1 |           2 | Jane |   40
             1 |           4 | Jeff |   30
             2 |           1 |  Joe | null

(4 rows)

RETURNS STATUS AS ROW

When executing a batch in YCQL, the protocol returns only one error or return status. The RETURNS STATUS AS ROW feature addresses this limitation and adds a status row for each statement.

See examples in batch docs.

See also

  • CREATE TABLE
  • DELETE
  • INSERT
  • SELECT
  • Expression
  • Synopsis
  • Syntax
    • Diagram
    • using_expression
    • ttl_or_timestamp_expression
  • Semantics
    • WHERE clause
    • IF clause
    • USING clause
  • Examples
    • Update a value in a table
    • Conditional update using the IF clause
    • Update with expiration time using the USING TTL clause.
    • Update row with the USING TIMESTAMP clause
    • RETURNS STATUS AS ROW
  • See also
Ask our community
  • Slack
  • Github
  • Forum
  • StackOverflow
Yugabyte
Contact Us
Copyright © 2017-2021 Yugabyte, Inc. All rights reserved.