Bu sayfa henüz yerel dilinizde mevcut değildir. Daha fazla dil seçeneği eklemek için yoğun bir şekilde çalışıyoruz. Desteğiniz için teşekkür ederiz.

Compute
Elastic Cloud Server
Huawei Cloud Flexus
Bare Metal Server
Auto Scaling
Image Management Service
Dedicated Host
FunctionGraph
Cloud Phone Host
Huawei Cloud EulerOS
Networking
Virtual Private Cloud
Elastic IP
Elastic Load Balance
NAT Gateway
Direct Connect
Virtual Private Network
VPC Endpoint
Cloud Connect
Enterprise Router
Enterprise Switch
Global Accelerator
Management & Governance
Cloud Eye
Identity and Access Management
Cloud Trace Service
Resource Formation Service
Tag Management Service
Log Tank Service
Config
OneAccess
Resource Access Manager
Simple Message Notification
Application Performance Management
Application Operations Management
Organizations
Optimization Advisor
IAM Identity Center
Cloud Operations Center
Resource Governance Center
Migration
Server Migration Service
Object Storage Migration Service
Cloud Data Migration
Migration Center
Cloud Ecosystem
KooGallery
Partner Center
User Support
My Account
Billing Center
Cost Center
Resource Center
Enterprise Management
Service Tickets
HUAWEI CLOUD (International) FAQs
ICP Filing
Support Plans
My Credentials
Customer Operation Capabilities
Partner Support Plans
Professional Services
Analytics
MapReduce Service
Data Lake Insight
CloudTable Service
Cloud Search Service
Data Lake Visualization
Data Ingestion Service
GaussDB(DWS)
DataArts Studio
Data Lake Factory
DataArts Lake Formation
IoT
IoT Device Access
Others
Product Pricing Details
System Permissions
Console Quick Start
Common FAQs
Instructions for Associating with a HUAWEI CLOUD Partner
Message Center
Security & Compliance
Security Technologies and Applications
Web Application Firewall
Host Security Service
Cloud Firewall
SecMaster
Anti-DDoS Service
Data Encryption Workshop
Database Security Service
Cloud Bastion Host
Data Security Center
Cloud Certificate Manager
Edge Security
Managed Threat Detection
Blockchain
Blockchain Service
Web3 Node Engine Service
Media Services
Media Processing Center
Video On Demand
Live
SparkRTC
MetaStudio
Storage
Object Storage Service
Elastic Volume Service
Cloud Backup and Recovery
Storage Disaster Recovery Service
Scalable File Service Turbo
Scalable File Service
Volume Backup Service
Cloud Server Backup Service
Data Express Service
Dedicated Distributed Storage Service
Containers
Cloud Container Engine
SoftWare Repository for Container
Application Service Mesh
Ubiquitous Cloud Native Service
Cloud Container Instance
Databases
Relational Database Service
Document Database Service
Data Admin Service
Data Replication Service
GeminiDB
GaussDB
Distributed Database Middleware
Database and Application Migration UGO
TaurusDB
Middleware
Distributed Cache Service
API Gateway
Distributed Message Service for Kafka
Distributed Message Service for RabbitMQ
Distributed Message Service for RocketMQ
Cloud Service Engine
Multi-Site High Availability Service
EventGrid
Dedicated Cloud
Dedicated Computing Cluster
Business Applications
Workspace
ROMA Connect
Message & SMS
Domain Name Service
Edge Data Center Management
Meeting
AI
Face Recognition Service
Graph Engine Service
Content Moderation
Image Recognition
Optical Character Recognition
ModelArts
ImageSearch
Conversational Bot Service
Speech Interaction Service
Huawei HiLens
Video Intelligent Analysis Service
Developer Tools
SDK Developer Guide
API Request Signing Guide
Terraform
Koo Command Line Interface
Content Delivery & Edge Computing
Content Delivery Network
Intelligent EdgeFabric
CloudPond
Intelligent EdgeCloud
Solutions
SAP Cloud
High Performance Computing
Developer Services
ServiceStage
CodeArts
CodeArts PerfTest
CodeArts Req
CodeArts Pipeline
CodeArts Build
CodeArts Deploy
CodeArts Artifact
CodeArts TestPlan
CodeArts Check
CodeArts Repo
Cloud Application Engine
MacroVerse aPaaS
KooMessage
KooPhone
KooDrive

CSV

Updated on 2025-01-10 GMT+08:00

Function

The CSV format allows you to read and write CSV data based on a CSV schema. Currently, the CSV schema is derived from table schema. For details, see CSV Format.

Supported Connectors

  • Kafka
  • Upsert Kafka
  • FileSystem

Parameters

Table 1 Description

Parameter

Mandatory

Default value

Type

Description

format

Yes

None

String

Format to be used. Set the value to csv.

csv.field-delimiter

No

,

String

Field delimiter character, which must be a single character. You can use backslash to specify special characters, for example, \t represents the tab character. You can also use unicode to specify them in plain SQL, for example, 'csv.field-delimiter' = U&'\0001' represents the 0x01 character.

csv.disable-quote-character

No

false

Boolean

Disabled quote character for enclosing field values. If you set this parameter to true, csv.quote-character cannot be set.

csv.quote-character

No

''

String

Quote character for enclosing field values.

csv.allow-comments

No

false

Boolean

Ignore comment lines that start with #. If you set this parameter to true, make sure to also ignore parse errors to allow empty rows.

csv.ignore-parse-errors

No

false

Boolean

Whether fields and rows with parse errors will be skipped or failed. The default value is false, indicating that an error will be thrown. Fields are set to null in case of errors.

csv.array-element-delimiter

No

;

String

Array element delimiter string for separating array and row element values.

csv.escape-character

No

None

String

Escape character for escaping values

csv.null-literal

No

None

String

Null literal string that is interpreted as a null value.

Data Type Mapping

Currently, the CSV schema is always derived from table schema. Explicitly defining a CSV schema is not supported yet. Flink CSV format uses jackson databind API to parse and generate CSV string.

Table 2 Data type mapping

Flink SQL Type

CSV Type

CHAR/VARCHAR/STRING

String

BOOLEAN

Boolean

BINARY/VARBINARY

string with encoding: base64

DECIMAL

Number

TINYINT

Number

SMALLINT

Number

INT

Number

BIGINT

Number

FLOAT

Number

DOUBLE

Number

DATE

string with format: date

TIME

string with format: time

TIMESTAMP

string with format: date-time

INTERVAL

Number

ARRAY

array

ROW

object

Example

Use Kafka to send data and output the data to Print.

  1. Create a datasource connection for the communication with the VPC and subnet where Kafka locates and bind the connection to the queue. Set a security group and inbound rule to allow access of the queue and test the connectivity of the queue using the Kafka IP address. For example, locate a general-purpose queue where the job runs and choose More > Test Address Connectivity in the Operation column. If the connection is successful, the datasource is bound to the queue. Otherwise, the binding fails.
  2. Create a Flink OpenSource SQL job. Copy the following statement and submit the job:

    CREATE TABLE kafkaSource (
      order_id string,
      order_channel string,
      order_time string, 
      pay_amount double,
      real_pay double,
      pay_time string,
      user_id string,
      user_name string,
      area_id string
    ) WITH (
      'connector' = 'kafka',
      'topic' = 'kafkaTopic',
      'properties.bootstrap.servers' = 'KafkaAddress1:KafkaPort,KafkaAddress2:KafkaPort',
      'properties.group.id' = 'GroupId',
      'scan.startup.mode' = 'latest-offset',
      'format' = 'csv'
    );
    
    
    CREATE TABLE printSink (
      order_id string,
      order_channel string,
      order_time string, 
      pay_amount double,
      real_pay double,
      pay_time string,
      user_id string,
      user_name string,
      area_id string
    ) WITH (
      'connector' = 'print'
    );
    insert into printSink select * from kafkaSource;

  3. Insert the following data into the source Kafka topic:

    202103251505050001,appShop,2021-03-25 15:05:05,500.00,400.00,2021-03-25 15:10:00,0003,Cindy,330108
    
    202103241606060001,appShop,2021-03-24 16:06:06,200.00,180.00,2021-03-24 16:10:06,0001,Alice,330106

  4. Perform the following operations to view the data result in the taskmanager.out file:

    1. Log in to the DLI console. In the navigation pane, choose Job Management > Flink Jobs.
    2. Click the name of the corresponding Flink job, choose Run Log, click OBS Bucket, and locate the folder of the log you want to view according to the date.
    3. Go to the folder of the date, find the folder whose name contains taskmanager, download the .out file, and view result logs.
    +I[202103251505050001, appShop, 2021-03-25 15:05:05, 500.0, 400.0, 2021-03-25 15:10:00, 0003, Cindy, 330108]
    +I[202103241606060001, appShop, 2021-03-24 16:06:06, 200.0, 180.0, 2021-03-24 16:10:06, 0001, Alice, 330106]

Sitemizi ve deneyiminizi iyileştirmek için çerezleri kullanırız. Sitemizde tarama yapmaya devam ederek çerez politikamızı kabul etmiş olursunuz. Daha fazla bilgi edinin

Feedback

Feedback

Feedback

0/500

Selected Content

Submit selected content with the feedback