El contenido no se encuentra disponible en el idioma seleccionado. Estamos trabajando continuamente para agregar más idiomas. Gracias por su apoyo.

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

Adding a GaussDB Data Source

Updated on 2024-10-25 GMT+08:00

Add a GaussDB JDBC data source on HSConsole.

Prerequisites for Adding a GaussDB Data Source

  • The cluster where the data source is located and the HetuEngine cluster nodes can communicate with each other.
  • In the /etc/hosts file of all nodes in the cluster where HetuEngine is located, add the mapping between the host names and IP addresses of the cluster where the data source to be connected is located, and add 10.10.10.10 hadoop.System domain name in the /etc/hosts file (for example, 10.10.10.10 hadoop.hadoop.com). Otherwise, HetuEngine cannot connect to the nodes that are not in the cluster based on the host name.
  • A HetuEngine compute instance has been created.

Procedure for Adding a GaussDB Data Source

  1. Log in to FusionInsight Manager as a HetuEngine administrator and choose Cluster > Services > HetuEngine. The HetuEngine service page is displayed.
  2. In the Basic Information area on the Dashboard page, click the link next to HSConsole WebUI. The HSConsole page is displayed.
  3. Choose Data Source and click Add Data Source. Configure parameters on the Add Data Source page.

    1. In the Basic Configuration area, configure Name and choose JDBC > GAUSSDB-A for Data Source Type.
    2. Configure parameters in the GAUSSDB-A Configuration area. For details, see Table 1.
      Table 1 GAUSSDB-A Configuration

      Parameter

      Description

      Example Value

      Driver

      The default value is gaussdba.

      gaussdba

      JDBC URL

      JDBC URL for connecting to GaussDB A. The format is as follows:

      jdbc:postgresql://CN service IP address:Port number/Database name

      NOTE:

      If SSL is enabled for the GaussDB database, add the following SSL-related parameter to the URL: ssl=true&sslfactory=org.postgresql.ssl.NonValidatingFactory

      • SSL is disabled for the GaussDB database:

        jdbc:postgresql://10.0.136.1:25308/postgres

      • SSL is enabled for the GaussDB database:

        jdbc:postgresql://10.0.136.1:25308/postgres?ssl=true&sslfactory=org.postgresql.ssl.NonValidatingFactory

      Username

      Username for connecting to the GaussDB data source.

      Change the value based on the username being connected with the data source.

      Password

      Password for connecting to the GaussDB data source.

      Change the value based on the username and password for connecting to the data source.

    3. (Optional) Configure GaussDB user information according to Table 2.

      GaussDB User Information Configuration and HetuEngine-GaussDB User Mapping Configuration must be used together. When HetuEngine is connected to the GaussDB data source, HetuEngine users can have the same permissions of the mapped GaussDB data source user through mapping. Multiple HetuEngine users can correspond to one GaussDB user.

      In the GaussDB database, the created user name must comply with the identifier naming convention and contain a maximum of 63 characters. If a username contains uppercase letters, the database automatically converts the uppercase letters into lowercase letters. To create a username that contains uppercase letters, enclose the username with double quotation marks (""). Therefore, you must use the converted username to set the Data Source User parameter.

      The examples are as follows:

      • If the user name created in the GaussDB database is Gaussuser1, the value of Data Source User must be gaussuser1.
      • If the user name created in the GaussDB database is "Gaussuser1", the value of Data Source User must be Gaussuser1.
      Table 2 GaussDB User Information Configuration

      Parameter

      Description

      Data Source User

      Data source user name

      If the data source user is set to gaussuser1, a HetuEngine user mapped to gaussuser1 must exist. For example, create hetuuser1 and map it to gaussuser1.

      Password

      User authentication password of the corresponding data source

    4. (Optional) Configure HetuEngine-GaussDB user mapping according to Table 3.

      Multiple HetuEngine accounts are configured in the format of HetuEngine User and Data Source User key-value pairs, corresponding to one of the users configured in the GaussDB User Information Configuration area. When different HetuEngine users are used to access GaussDB, different GaussDB usernames and passwords can be used.

      Table 3 HetuEngine-GaussDB User Mapping Configuration

      Parameter

      Description

      HetuEngine User

      HetuEngine username

      Data Source User

      Data source user, for example, gaussuser1 (data source user configured in Table 2)

    5. (Optional) Customize the configuration.
      • You can click Add to add custom configuration parameters. Configure custom parameters of the GaussDB data source. For details, see Table 4.
        Table 4 Custom parameters of the GaussDB data source

        Parameter

        Description

        Example Value

        use-connection-pool

        Whether to use the JDBC connection pool.

        true

        jdbc.connection.pool.maxTotal

        Maximum number of connections in the JDBC connection pool.

        8

        jdbc.connection.pool.maxIdle

        Maximum number of idle connections in the JDBC connection pool.

        8

        jdbc.connection.pool.minIdle

        Minimum number of idle connections in the JDBC connection pool.

        0

        join-pushdown.enabled

        • true: JOIN statements can be pushed down to the data source for execution.
        • false: JOIN statements are not pushed down to the data source for execution. As a result, more network and compute resources are consumed.

        true

        join-pushdown.strategy

        The JOIN push-down function should be enabled in advance. Value options are as follows:

        • AUTOMATIC: cost-based JOIN pushdown
        • EAGER: JOIN pushdown as much as possible

        AUTOMATIC

        source-encoding

        GaussDB data source encoding mode.

        UTF-8

        multiple-cnn-enabled

        Whether to use the GaussDB multi-CN configuration. To use it, ensure that the JDBC connection pool is disabled and the JDBC URL format is as follows: jdbc:postgresql://host:port/database,jdbc:postgresql://host:port/database,jdbc:postgresql://host:port/database.

        false

        parallel-read-enabled

        Whether to use the parallel data read function.

        If the parallel data read function is enabled, the actual number of splits is determined based on the node distribution and the value of max-splits.

        Multiple connections to the data source will be created for parallel read operations. The dependent data source should support the load.

        false

        split-type

        Type of the parallel data read function.

        • NODE: The degree of parallelism (DOP) is categorized based on the GaussDB data source DataNodes.
        • PARTITION: The DOP is categorized based on table partitions.
        • INDEX: The DOP is categorized based on table indexes.

        NODE

        max-splits

        Maximum degree of parallelism.

        5

        use-copymanager-for-insert

        Whether to use CopyManager for batch import.

        false

        unsupported-type-handling

        If the connector does not support the data of a certain type, convert it to VARCHAR.

        • After the CONVERT_TO_VARCHAR parameter is configured, the data of BIT VARYING, CIDR, MACADDR, INET, OID, REGTYPE, REGCONFIG and POINT types are converted to the varchar type during query and data of these types can only be read.
        • The default value is IGNORE, indicating that unsupported types will be not displayed in the result.

        CONVERT_TO_VARCHAR

        max-bytes-in-a-batch-for-copymanager-in-mb

        Maximum volume of data imported by CopyManager in a batch, in MB.

        10

        decimal-mapping

        By default, data of the DECIMAL, NUMBER, or NUMERIC type whose precision is not specified or exceeds the maximum precision of 38 digits is ignored. You can map the data to the DECIMAL(38, x) data type by setting the decimal-mapping=allow_overflow parameter. The value of x is the value of decimal-default-scale.

        allow_overflow

        decimal-default-scale

        Decimal precision when data of the DECIMAL, NUMBER, or NUMERIC type is mapped into DECIMAL(38, x). The value ranges from 0 to 38 and the default value is 0.

        0

        case-insensitive-name-matching

        HetuEngine supports case-sensitive table and schema names of the GaussDB data source.

        • false: Only schemas or tables whose names contain only lowercase letters can be queried. The default value is false.
        • true: If there are no schemas or tables with the same name after the case-insensitive matching, the schemas or tables can be queried. Otherwise, the schemas or tables cannot be queried.

        false

      • You can click Delete to delete custom configuration parameters.
    6. Click OK.

  4. Log in to the node where the cluster client is located and run the following commands to switch to the client installation directory and authenticate the user:

    cd /opt/client

    source bigdata_env

    kinit User performing HetuEngine operations (If the cluster is in normal mode, skip this step.)

  5. Run the following command to log in to the catalog of the data source:

    hetu-cli --catalog Data source name --schema Database name

    For example, run the following command:

    hetu-cli --catalog gaussdb_1 --schema admin

  6. Run the following command. If the database table information can be viewed or no error is reported, the connection is successful.

    show tables;

GAUSSDB Data Type Mapping

GaussDB Data Type

HetuEngine Data Type

BOOLEAN

BOOLEAN

TINYINT

TINYINT

SMALLINT

SMALLINT

INTEGER

INTEGER

BINARY_INTEGER

INTEGER

BIGINT

BIGINT

SMALLSERIAL

SMALLINT

SERIAL

INTEGER

BIGSERIAL

BIGINT

FLOAT4 (REAL)

REAL

FLOAT8(DOUBLE PRECISION)

DOUBLE PRECISION

DECIMAL[p (,s)]

DECIMAL[p (,s)]

NUMERIC[p (,s)]

DECIMAL[p (,s)]

CHAR(n)

CHAR(n)

CHARACTER(n)

CHAR(n)

NCHAR(n)

CHAR(n)

VARCHAR(n)

VARCHAR(n)

CHARACTER VARYING(55)

VARCHAR(n)

VARCHAR2(n)

VARCHAR(n)

NVARCHAR2(n)

VARCHAR

TEXT(CLOB)

VARCHAR

DATE

TIMESTAMP

TIMESTAMP

TIMESTAMP

UUID

UUID

JSON

JSON

Constraints on GaussDB Data Source

  • The following syntaxes are not supported: GRANT, REVOKE, SHOW GRANTS, SHOW ROLES, and SHOW ROLE GRANTS.
  • The UPDATE and DELETE syntaxes cannot be used to filter clauses containing cross-catalog conditions, for example, UPDATE mppdb.table SET column1=value WHERE column2 IN (SELECT column2 from hive.table).
  • The UPDATE syntax cannot be used to update the DATE, TIMESTAMP, and VARBINARY fields.
  • WHERE statements whose condition is REAL cannot be queried, for example, SELECT * FROM mppdb.table WHERE column1 = REAL '1.1'.
  • The DELETE syntax cannot be used to filter clauses containing subqueries, for example, DELETE FROM mppdb.table WHERE column IN (SELECT column FROM mppdb.table1).
  • HetuEngine supports a maximum precision of 38 digits for GaussDB data sources, including the DECIMAL, NUMBER, and NUMERIC data types.
  • If either end of a predicate contains a subquery, the predicate will not be pushed down. For example, if a subquery exists after the example statement count(*), the predicate will not be pushed down, but the min function in the subquery can be pushed down.
    select count(*) from item where i_current_price = (select min(i_current_price) from item);

Utilizamos cookies para mejorar nuestro sitio y tu experiencia. Al continuar navegando en nuestro sitio, tú aceptas nuestra política de cookies. Descubre más

Feedback

Feedback

Feedback

0/500

Selected Content

Submit selected content with the feedback