Engine Local Cache

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

Querying Data from Other Sources

Using View

INSERT INTO

Querying Script Parameters

Obtaining Task Results

Query Script Analysis

Data Job

Overview

Configuring Data Access Policy

Creating Data Job

Managing Data Job

PySpark Dependency Package Management

Resource Management

Engine Management

Network Connection Configuration

Storage Configuration

Managed Storage Configuration

Binding a Metadata Acceleration Bucket

Metadata Management

Data Catalogs and DMC

Data Table Management

Data View Management

Function Management

Partition Field Policy

Ops Management

Historical Task Instances

Historical task(Old version)

Session Management

Insight Management

Task Insights

System Management

User and Permission Management

CAM Service

Permission Overview

User and Work Group

Sub-Account Permission Management

Monitoring and Alarms

Data Engine Monitoring

Data Job Monitoring

Access Point Gateway Engine Monitoring

Monitoring Alarm Configuration

Audit Log

Development Guide

SparkJar Job Development Guide

PySpark Job Development Guide

Query Performance Optimization Guide

UDF Function Development Guide

Materialized View

System Restraints

Metadata Information

Computing Task

Client Access

JDBC Access

DLC JDBC Access

Hive JDBC Access

Presto JDBC Access

Configuring Public Access for Standard Engine

TDLC Command Line Interface Tool Access

Third-party Software Linkage

Python Access

Practical Tutorial

Table Creation Practice

Using Apache Airflow to Schedule DLC Engine to Submit Tasks

Direct Query of DLC Internal Storage with StarRocks

DLC Native Table

DLC Source Table Core Capabilities

DLC Source Table Operation Configuration

DLC Source Table Lake Ingestion Practice

DLC Source Table FAQs

SQL Statement

SuperSQL Statement

Overview of SuperSQL Statement

Unified Statement

DDL Statement

ALTER DATABASE

ALTER DATABASE SET DBPROPERTIES

ALTER DATABASE SET LOCATION

DROP DATABASE

CREATE TABLE

REPLACE TABLE AS SELECT

SHOW COLUMNS IN TABLE

ALTER TABLE

ALTER TABLE ADD COLUMNS

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 ComputeOperation GuideConsole Operation IntroductionResource ManagementEngine ManagementSuperSQL EngineEngine Local Cache

Engine Local Cache

Download PDF

Last updated: 2024-07-31 17:48:05

Engine Local Cache

Last updated: 2024-07-31 17:48:05

Download PDF

To ensure stable operation of Spark engine query analysis when network bandwidth is limited (e.g. during storage system throttling), the DLC Spark engine provides a local cache capability. When you need to cache table data, you can quickly enable caching by adding engine configuration.
Directions
1. Create a Spark Engine: For details, see Purchase Exclusive Data Engine.
2. Add Cache Configuration: Go to the DLC Console > Data Engine. Select the engine created in Step 1, click Parameter Configuration, and add the configuration items from Cache Configuration Item Explanation.
Spark SQL Engine Configuration:
﻿
Note:
After the configuration is added, the engine cluster will restart. It is recommended to enable the cache when no tasks are running to avoid affecting ongoing tasks.
3. To use the engine cache, go to Data Exploration, write the query SQL in the SQL interface, select the engine with the cache enabled, and execute the SQL. Once executed, the engine will cache the DLC external table data locally. When the SQL is executed again, the data will be fetched from the local cache, improving query efficiency.
Spark SQL Engine Query:
﻿
Spark Batch Engine Query:
﻿
Cache Description
Cache Configuration Items Description
Configuration Items
Configuration Values
Configuration Items Description
spark.hadoop.fs.cosn.impl
alluxio.hadoop.ShimFileSystem
Fixed value; the configuration value is the cache implementation class. Configure this value to enable the cache feature. If the cache feature is enabled, configuring a value other than this will result in the engine not being able to access COS data. Please follow the instructions carefully.
If you need to disable the cache after enabling it, please delete this configuration item.
Cache Usage Instructions
1. Engine Type Description
    SparkSQL Engine: When the engine restarts, the cached data becomes invalid because it is a local cache.
    SparkBatch Engine: The SparkBatch engine runs tasks at the session level. Once the task execution is complete, the cached data becomes invalid.
2. Table Type Description
   Currently, only DLC external tables are cached.
﻿

Was this page helpful?

You can also Contact Sales or Submit a Ticket for help.

Yes

Configuration Items	Configuration Values	Configuration Items Description
spark.hadoop.fs.cosn.impl	alluxio.hadoop.ShimFileSystem	Fixed value; the configuration value is the cache implementation class. Configure this value to enable the cache feature. If the cache feature is enabled, configuring a value other than this will result in the engine not being able to access COS data. Please follow the instructions carefully. If you need to disable the cache after enabling it, please delete this configuration item.

tencent cloud

New User Offers

Next-Generation CDN：EdgeOne

Elasticsearch Service free trial

Free Tier

Tencent Cloud Startup Program

Special Offers

Lighthouse Special Offers

Cloud Object Storage Special Offers

Featured Products

New Products

Education

Tencent Cloud Online Education Solutions

Gaming

Gaming Solution

Game Media Solutions

E-commerce

E-commerce retail solutions

Audio & Video

Audio/Video Solution

LVB Recording Solution

Interactive Classroom Solution

Interactive Live Streaming Solution

Audio Chat Social Networking Solution

Financial Services

Financial Services Solution

Compute

Cloud Virtual Machine

Auto Scaling

Batch Compute

CVM Dedicated Host

Database

TencentDB for MySQL

TencentDB for Redis®

TencentDB for CTSDB

TDSQL for MySQL

Data Transfer Service

TencentDB for MongoDB

TencentDB for PostgreSQL

TencentDB for SQL Server

Video Service

Cloud Streaming Services

Video on Demand

Media Processing Service

Cloud Application Rendering

Cloud Contact Center

Game Multimedia Engine

Chat

Real-time Communication

Tencent Effect SDK

AI and Machine Learning

Image Creation Large Model

Face Fusion

eKYC

Optical Character Recognition

Video Creation Large Model

Industry Applications

Tencent HealthCare Omics Platform

Container and Middleware

TDMQ for CKafka

Serverless Cloud Function

Tencent Kubernetes Engine

Tencent Kubernetes Engine for Serverless

Networking

Cloud Load Balancer

Virtual Private Cloud

Direct Connect

Cloud Connect Network

NAT Gateway

VPN Connection

Bandwidth Package

Anycast Internet Acceleration

Elastic Network Interface

Flow Logs

Global Application Acceleration Platform

Security

Captcha

Cloud Workload Protection Platform

Data Security Governance Center

Key Management Service