UPDATE

Data Lake Compute

Product Introduction

Purchase Guide

Configuration Adjustment Fees

Getting Started

Complete Process for New User Activation

DLC Data Import Guide

Quick Start with Data Analytics in Data Lake Compute

Quick Start with Permission Management in Data Lake Compute

Quick Start with Partition Table

Enabling Data Optimization

Cross-Source Analysis of EMR Hive Data

Standard Engine Configuration Guide

Operation Guide

Console Operation Introduction

Data Development and Exploration

Data Exploration

SQL Editor

Data Query Task

SELECT Task

Querying Partition Table

Querying JSON Data

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Using View

INSERT INTO

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Data Job

Overview

Configuring Data Access Policy

Creating Data Job

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PySpark Dependency Package Management

Resource Management

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Network Connection Configuration

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Binding a Metadata Acceleration Bucket

Metadata Management

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Data View Management

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CAM Service

Permission Overview

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Development Guide

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Using Apache Airflow to Schedule DLC Engine to Submit Tasks

Direct Query of DLC Internal Storage with StarRocks

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DLC Source Table Core Capabilities

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DDL Statement

ALTER DATABASE

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DROP DATABASE

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REPLACE TABLE AS SELECT

SHOW COLUMNS IN TABLE

ALTER TABLE

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ALTER TABLE ADD COLUMN AFTER/FIRST

ALTER TABLE DROP COLUMN

ALTER TABLE ADD PARTATION

SHOW PARTITIONS

ALTER TABLE DROP PARTITION

ALTER TABLE ADD PARTITION FIELD

ALTER TABLE DROP PARTITION FIELD

ALTER TABLE ... RENAME COLUMN

ALTER TABLE SET TBLPROPERTIES

ALTER TABLE SET LOCATION

ALTER TABLE ... WRITE ORDERED BY

ALTER TABLE ... WRITE DISTRIBUTED BY PARTITION

ALTER TABLE ... SET IDENTIFIER FIELDS

ALTER TABLE ... DROP IDENTIFIER FIELDS

ALTER VIEW

ALTER VIEW SET TBLPROPERTIES

DML Statement

DQL Statement

Iceberg Table Statement

Differences in Statement Between Iceberg External Tables and Native Tables

Materialized View Statement

SQL Implicit Conversion

Functions

Unified Functions

Overview of Unified Functions

Binary Functions

Bitwise Functions

Collection Functions

Date and Time Functions

JSON Functions

Mathematical Functions

Presto Built-in Functions

Comparison of Hive Functions

Overview of Standard Spark Statement

Overview of Standard Presto Statement

API Documentation

Making API Requests

Data Table APIs

DescribeLakeFsDirSummary

DescribeLakeFsInfo

QueryResult

GenerateCreateMangedTableSql

Task APIs

Metadata APIs

DescribeForbiddenTablePro

DescribeDLCCatalogAccess

GrantDLCCatalogAccess

RevokeDLCCatalogAccess

DropDMSTable

DropDLCTable

DescribeDMSDatabaseList

Service Configuration APIs

CreateCHDFSBindingProduct

DeleteCHDFSBindingProduct

DescribeOtherCHDFSBindingList

CreateStoreLocation

DescribeStoreLocation

ModifyDataEngineDescription

RollbackDataEngineImage

SwitchDataEngine

SwitchDataEngineImage

UpgradeDataEngineImage

DeleteThirdPartyAccessUser

DescribeDataEngineImageVersions

DescribeSubUserAccessPolicy

DescribeThirdPartyAccessUser

RegisterThirdPartyAccessUser

RestartDataEngine

UpdateUserDataEngineConfig

UpdateDataEngineConfig

Permission Management APIs

Database APIs

ModifyAdvancedStoreLocation

ModifyGovernEventRule

DescribeAdvancedStoreLocation

Data Source Connection APIs

CheckDataEngineImageCanBeRollback

CheckDataEngineImageCanBeUpgrade

DescribeDataEnginePythonSparkImages

Data Optimization APIs

GetOptimizerPolicy

Data Engine APIs

CreateDataEngine

DescribeDataEnginesScaleDetail

DeleteDataEngine

RenewDataEngine

SuspendResumeDataEngine

UpdateDataEngine

DescribeUpdatableDataEngines

DescribeDataEngine

DescribeUserDataEngineConfig

CheckDataEngineConfigPairsValidity

General Reference

Operation Guide on Connecting Third-Party Software to DLC

Connecting CBoard to DLC

DLC Policy

Data Privacy And Security Agreement

Service Level Agreement

DocumentationData Lake ComputeSQL StatementSuperSQL StatementUnified StatementDML StatementUPDATE

UPDATE

Download PDF

Last updated: 2024-08-07 17:26:27

UPDATE

Last updated: 2024-08-07 17:26:27

Download PDF

Description
Supported engine: SparkSQL
Applicable table: Native Iceberg tables
Purpose: Update specified row in data table.
Statement
UPDATE tablePrimary
SET assign [, assign ]*
[ WHERE booleanExpression ]
Parameter
tablePrimary: Table name in the three-part format. Example: catalog.database.table.
assign: Expression for row update. Example: col1 = 'new_data'.
booleanExpression: Boolean expression
Example
UPDATE prod.db.table
SET c1 = 'update_c1', c2 = 'update_c2'
WHERE ts >= '2020-05-01 00:00:00' and ts < '2020-06-01 00:00:00'
﻿
UPDATE prod.db.all_events
SET session_time = 0, ignored = true
WHERE session_time < (SELECT min(session_time) FROM prod.db.good_events)
﻿
UPDATE prod.db.orders AS t1
SET order_status = 'returned'
WHERE EXISTS (SELECT oid FROM prod.db.returned_orders WHERE t1.oid = oid)
﻿
﻿
﻿

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