Version: 1.3.0

Data Source Manual

Introduce how to use the new feature function data source of version 1.1.0

1. Data source function introduction

1.1 Concept

Data source: We call database services that can provide data storage as databases, such as mysql/hive/kafka. The data source defines the configuration information for connecting to the actual database. The configuration information is mainly the address required for connection and user authentication information , connection parameters, etc. Stored in the linkisps_dm_datasource* table related to the linkis database
Metadata: single refers to the metadata of the database, which refers to the data that defines the data structure and the data of various object structures of the database. For example, the database name, table name, column name, field length, type and other information data in the database.

1.2 Three main modules

linkis-datasource-client Client module, DataSourceRemoteClient for basic management of user data sources, and MetaDataRemoteClient for metadata query operations.

linkis-datasource-manager-server Data source management module, service name ps-data-source-manager. Perform basic management of data sources, and provide http interfaces such as adding, querying, modifying, and connection testing of external data sources. The rpc service is provided internally, which is convenient for the data element management module to call through rpc to query the necessary information needed to establish a connection to the database.

http interface documentation
http interface class org.apache.linkis.metadatamanager.server.restful
rpc interface class org.apache.linkis.metadatamanager.server.receiver

linkis-metedata-manager-server Data element management module, service name ps-metadatamanager. It provides the basic query function of the data metadata of the database, provides the http interface externally, and provides the rpc service internally, which is convenient for the data source management module to perform the connection test of the data source through the rpc call.

http interface documentation
http interface class org.apache.linkis.datasourcemanager.core.restful
rpc interface class org.apache.linkis.datasourcemanager.core.receivers

1.3 Processing logic

1.3.1 LinkisDataSourceRemoteClient

The functional structure diagram is as follows: datasource

The LinkisDataSourceRemoteClient client assembles the http request according to the request parameters,
HTTP request sent to linkis-ps-data-source-manager
linkis-ps-data-source-manager will perform basic parameter verification, some interfaces can only be operated by the administrator role
linkis-ps-data-source-manager performs basic data operations with the database
The data source test connection interface provided by linkis-ps-data-source-manager internally uses rpc to call the ps-metadatamanager method for connection test
The data result after the http request is processed will be mapped and converted from the result set to the entity class by annotating the DWSHttpMessageResult function

LinkisDataSourceRemoteClient interface

GetAllDataSourceTypesResult getAllDataSourceTypes(GetAllDataSourceTypesAction) Query all data source types
QueryDataSourceEnvResult queryDataSourceEnv(QueryDataSourceEnvAction) Query the cluster configuration information that can be used by the data source
GetInfoByDataSourceIdResult getInfoByDataSourceId(GetInfoByDataSourceIdAction): query data source information by data source id
QueryDataSourceResult queryDataSource(QueryDataSourceAction) query data source information
GetConnectParamsByDataSourceIdResult getConnectParams(GetConnectParamsByDataSourceIdAction) Get connection configuration parameters
CreateDataSourceResult createDataSource(CreateDataSourceAction) to create a data source
DataSourceTestConnectResult getDataSourceTestConnect(DataSourceTestConnectAction) to test whether the data source can be connected normally
DeleteDataSourceResult deleteDataSource(DeleteDataSourceAction) deletes the data source
ExpireDataSourceResult expireDataSource(ExpireDataSourceAction) sets the data source to expired state
GetDataSourceVersionsResult getDataSourceVersions(GetDataSourceVersionsAction) Query the version list of the data source configuration
PublishDataSourceVersionResult publishDataSourceVersion(PublishDataSourceVersionAction) publishes the data source configuration version
UpdateDataSourceResult updateDataSource(UpdateDataSourceAction) to update the data source
UpdateDataSourceParameterResult updateDataSourceParameter(UpdateDataSourceParameterAction) Update data source configuration parameters
GetKeyTypeDatasourceResult getKeyDefinitionsByType(GetKeyTypeDatasourceAction) Query the configuration properties required by a data source type

1.3.2 LinkisMetaDataRemoteClient

The functional structure diagram is as follows: metadata

LinkisMetaDataRemoteClient client, according to the request parameters, assemble the http request,
HTTP request sent to ps-metadatamanager
ps-metadatamanager will perform basic parameter verification,
The request will send an RPC request to linkis-ps-data-source-manager based on the parameter datasourceId to obtain the type of the data source, connection parameters such as username and password, etc.
After getting the information required for the connection, load the lib package in the corresponding directory according to the data source type, and call the corresponding function method through the reflection mechanism to query the metadata information
The data result after the http request is processed will be mapped and converted from the result set to the entity class by annotating the DWSHttpMessageResult function

LinkisMetaDataRemoteClient interface

MetadataGetDatabasesResult getDatabases(MetadataGetDatabasesAction) query database list
MetadataGetTablesResult getTables(MetadataGetTablesAction) query table data
MetadataGetTablePropsResult getTableProps(MetadataGetTablePropsAction)
MetadataGetPartitionsResult getPartitions(MetadataGetPartitionsAction) query partition table
MetadataGetColumnsResult getColumns(MetadataGetColumnsAction) query data table fields

1.3 Source module directory structure

linkis-public-enhancements/linkis-datasource

├── linkis-datasource-client //client code
├── linkis-datasource-manager //Datasource management module
│ ├── common //Data source management common module
│ └── server //Data source management service module
├── linkis-metadata //Module existing in the old version, reserved
├── linkis-metadata-manager //Data Metadata Management Module
│ ├── common //Data element management common module
│ ├── server //Data element management service module
│ └── service //Supported data sources
│ ├── elasticsearch
│ ├── hive
│ ├── kafka
│ └── mysql

1.4 Installation package directory structure

/lib/linkis-public-enhancements/

├── linkis-ps-data-source-manager
├── linkis-ps-metadatamanager
│ └── service
│ ├── elasticsearch
│ ├── hive
│ ├── kafka
│ └── mysql

wds.linkis.server.mdm.service.lib.dir controls the classpath loaded during reflection calls. The default value of the parameter is /lib/linkis-public-enhancements/linkis-ps-metadatamanager/service

1.5 Configuration Parameters

See Tuning and Troubleshooting>Parameter List#datasourceConfiguration Parameters

1.6 Installation extra data drivers

1.Some data drivers require to be installed by user's self, because they are possibly not compatible with the Apache license

2.Extra data driver directory: ./lib/linkis-public-enhancements/linkis-ps-publicservice

3.Data drivers list

Driver Name	Driver Version	Download Link
db2	db2jcc4	https://www.ibm.com/support/pages/db2-jdbc-driver-versions-and-downloads
dameng	DmJdbcDriver18	https://download.dameng.com/eco/docs/JAVA_Mybatis_lib.zip
mysql	5.1.34	https://repo1.maven.org/maven2/mysql/mysql-connector-java/5.1.34/mysql-connector-java-5.1.34.jar
kingbase	kingbase8	http://maven.jeecg.org/nexus/content/repositories/jeecg/kingbase/kingbase8/8/kingbase8-8.jar
greenplum	5.1.4	https://network.pivotal.io/products/vmware-tanzu-greenplum#/releases/985537/file_groups/5749
postgresql	42.3.1	https://repo1.maven.org/maven2/org/postgresql/postgresql/42.3.1/postgresql-42.3.1.jar
sqlserver	sqlserver2000	https://www.microsoft.com/en-us/download/details.aspx?id=11774
oracle	11.2.0.3	http://www.datanucleus.org/downloads/maven2/oracle/ojdbc6/11.2.0.3/ojdbc6-11.2.0.3.jar

2. Enable data source function

In the startup script of linkis, the two services related to the data source (ps-data-source-manager, ps-metadatamanager) will not be started by default. If you want to use the data source service, you can enable it in the following ways: Modify export ENABLE_METADATA_MANAGER=true in $LINKIS_CONF_DIR/linkis-env.sh to true. When the service is started and stopped through linkis-start-all.sh/linkis-stop-all.sh, the data source service will be started and stopped.

Check whether the service starts normally through the eureka page

datasource eureka

note

1. Management of linkis The web version needs to be upgraded to version 1.1.0 to use the data source management page function on the linkis console.
1. At present, there are jar packages of mysql/hive/kafak/elasticsearch in the data source, but the kafak/elasticsearch data source has not been strictly tested, and the complete availability of functions is not guaranteed.

3. Use of data sources

The use of data sources is divided into three steps:

step 1. Create data source/configure connection parameters
step 2. Publish the data source and select the connection configuration version to use
step 3. Data source usage, query metadata information , hive/kafka/elasticsearch configuration is associated with the corresponding cluster environment configuration.

3.1 Mysql data source

3.1.1 Created through the management console

You can only create configuration data sources, and test whether the data sources can be connected normally, and cannot directly query metadata

Implement a JDBC generic module, and then choose any item mentioned below on the web UI.

Data Source	Link
mysql	https://www.mysql.com
oracle	https://www.oracle.com/database/technologies
kingbase	https://www.kingbase.com.cn
postgresql	https://www.postgresql.org
sqlserver	https://www.microsoft.com/en-us/sql-server
db2	https://www.ibm.com/products/db2/database
greenplum	https://greenplum.org
dm	https://dmdatabases.com
doris	https://doris.apache.org
clickhouse	https://clickhouse.com

Take MySQL as an example:

Data Source Management > New Data Source > Select MySQL Type

Enter relevant configuration information

create mysql

After the entry is successful, you can pass the connection test to verify whether the connection can be made normally

note

The system to which the data source created through the management console belongs is Linkis
After the creation is successful, it needs to be published (switching and selecting the configuration parameter version when publishing) before it can be used normally

Publishing of the configuration (using that configuration for the connection to the data source):

Click on the version and then pop up the page to select the appropriate configuration to publish

publish

3.1.2 Using the client

scala code example:

package org.apache.linkis.datasource.client
import java.util
import java.util.concurrent.TimeUnit

import org.apache.linkis.common.utils.JsonUtils
import org.apache.linkis.datasource.client.impl.{LinkisDataSourceRemoteClient, LinkisMetaDataRemoteClient}
import org.apache.linkis.datasource.client.request._
import org.apache.linkis.datasource.client.response._
import org.apache.linkis.datasourcemanager.common.domain.DataSource
import org.apache.linkis.httpclient.dws.authentication.StaticAuthenticationStrategy
import org.apache.linkis.httpclient.dws.config.DWSClientConfigBuilder
import org.junit.jupiter.api.{Disabled, Test}

object TestMysqlClient {

  val gatewayUrl = "http://127.0.0.1:9001"
  val clientConfig = DWSClientConfigBuilder.newBuilder
    .addServerUrl(gatewayUrl)
    .connectionTimeout(30000)
    .discoveryEnabled(false)
    .discoveryFrequency(1, TimeUnit.MINUTES)
    .loadbalancerEnabled(true)
    .maxConnectionSize(1)
    .retryEnabled(false)
    .readTimeout(30000)
    .setAuthenticationStrategy(new StaticAuthenticationStrategy)
    .setAuthTokenKey("hadoop")
    .setAuthTokenValue("xxxxx")
    .setDWSVersion("v1")

  val dataSourceclient = new LinkisDataSourceRemoteClient(clientConfig.build())

  val clientConfig2 = DWSClientConfigBuilder.newBuilder
    .addServerUrl(gatewayUrl)
    .connectionTimeout(30000)
    .discoveryEnabled(false)
    .discoveryFrequency(1, TimeUnit.MINUTES)
    .loadbalancerEnabled(true)
    .maxConnectionSize(1)
    .retryEnabled(false)
    .readTimeout(30000)
    .setAuthenticationStrategy(new StaticAuthenticationStrategy)
    .setAuthTokenKey("hadoop")
    .setAuthTokenValue("xxxxx")
    .setDWSVersion("v1")

  val metaDataClient = new LinkisMetaDataRemoteClient(clientConfig2.build())

  @Test
  @Disabled
  def testCreateDataSourceMysql: Unit = {
    val user = "hadoop"
    val system = "Linkis"

    //create data source
    val dataSource = new DataSource();
    dataSource.setDataSourceName("for-mysql-test")
    dataSource.setDataSourceDesc("this is for mysql test")
    dataSource.setCreateSystem(system)
    dataSource.setDataSourceTypeId(1L)

    val map = JsonUtils.jackson.readValue(JsonUtils.jackson.writeValueAsString(dataSource), new util.HashMap[String, Any]().getClass)
    val createDataSourceAction: CreateDataSourceAction = CreateDataSourceAction.builder()
      .setUser(user)
      .addRequestPayloads(map)
      .build()
    val createDataSourceResult: CreateDataSourceResult = dataSourceclient.createDataSource(createDataSourceAction)
    val dataSourceId = createDataSourceResult.getInsertId


    // set connection parameters
    val params = new util.HashMap[String, Any]

    val connectParams = new util.HashMap[String, Any]
    connectParams.put("host", "127.0.0.1")
    connectParams.put("port", "36000")
    connectParams.put("username", "db username")
    connectParams.put("password", "db password")

    params.put("connectParams", connectParams)
    params.put("comment", "init")

    val updateParameterAction: UpdateDataSourceParameterAction = UpdateDataSourceParameterAction.builder()
      .setUser(user)
      .setDataSourceId(dataSourceId)
      .addRequestPayloads(params)
      .build()
    val updateParameterResult: UpdateDataSourceParameterResult = dataSourceclient.updateDataSourceParameter(updateParameterAction)

    val version: Long = updateParameterResult.getVersion

    //publish configuration version
    dataSourceclient.publishDataSourceVersion(
      PublishDataSourceVersionAction.builder()
        .setDataSourceId(dataSourceId)
        .setUser(user)
        .setVersion(version)
        .build())

     // use example
    val metadataGetDatabasesAction: MetadataGetDatabasesAction = MetadataGetDatabasesAction.builder()
      .setUser(user)
      .setDataSourceId(dataSourceId)
      .setSystem(system)
      .build()
    val metadataGetDatabasesResult: MetadataGetDatabasesResult = metaDataClient.getDatabases(metadataGetDatabasesAction)

    val metadataGetTablesAction: MetadataGetTablesAction = MetadataGetTablesAction.builder()
      .setUser(user)
      .setDataSourceId(dataSourceId)
      .setDatabase("linkis")
      .setSystem(system)
      .build()
    val metadataGetTablesResult: MetadataGetTablesResult = metaDataClient.getTables(metadataGetTablesAction)

    val metadataGetColumnsAction = MetadataGetColumnsAction.builder()
      .setUser(user)
      .setDataSourceId(dataSourceId)
      .setDatabase("linkis")
      .setSystem(system)
      .setTable("linkis_datasource")
      .build()
    val metadataGetColumnsResult: MetadataGetColumnsResult = metaDataClient.getColumns(metadataGetColumnsAction)
    
  }
}

3.2 Hive data source

3.2.1 Created through the management console

You can only create configuration data sources, and test whether the data sources can be connected normally, and cannot directly query metadata

First need to configure the cluster environment information Table linkis_ps_dm_datasource_env

INSERT INTO `linkis_ps_dm_datasource_env`
(`env_name`, `env_desc`, `datasource_type_id`, `parameter`, `create_user`, `modify_user`)
VALUES
('testEnv', 'TestEnv', 4, '{\r\n "keytab": "4dd408ad-a2f9-4501-83b3-139290977ca2",\r\n "uris": "thrift://clustername:9083 ",\r\n "principle":"hadoop@WEBANK.COM"\r\n}', 'user','user');

The primary key id, used as the envId, needs to pass the envId parameter to obtain information about the cluster configuration when establishing a connection. Explanation of configuration fields:

{
    "keytab": "bml resource id", //keytab stores the resourceId in the material library, which currently needs to be manually uploaded through the http interface.
    "uris": "thrift://clustername:9083",
    "principle":"hadoop@WEBANK.COM" //Authenticated principle
}

Create on the web side:

create_hive

3.2.2 Using the client

package org.apache.linkis.datasource.client

import java.util
import java.util.concurrent.TimeUnit

import org.apache.linkis.common.utils.JsonUtils
import org.apache.linkis.datasource.client.impl.{LinkisDataSourceRemoteClient, LinkisMetaDataRemoteClient}
import org.apache.linkis.datasource.client.request._
import org.apache.linkis.datasource.client.response._
import org.apache.linkis.datasourcemanager.common.domain.DataSource
import org.apache.linkis.httpclient.dws.authentication.StaticAuthenticationStrategy
import org.apache.linkis.httpclient.dws.config.DWSClientConfigBuilder
import org.junit.jupiter.api.{Disabled, Test}

object TestHiveClient {
  val gatewayUrl = "http://127.0.0.1:9001"
  val clientConfig = DWSClientConfigBuilder.newBuilder
    .addServerUrl(gatewayUrl)
    .connectionTimeout(30000)
    .discoveryEnabled(false)
    .discoveryFrequency(1, TimeUnit.MINUTES)
    .loadbalancerEnabled(true)
    .maxConnectionSize(1)
    .retryEnabled(false)
    .readTimeout(30000)
    .setAuthenticationStrategy(new StaticAuthenticationStrategy)
    .setAuthTokenKey("hadoop")
    .setAuthTokenValue("xxxxx")
    .setDWSVersion("v1")

  val dataSourceclient = new LinkisDataSourceRemoteClient(clientConfig.build())

  val clientConfig2 = DWSClientConfigBuilder.newBuilder
    .addServerUrl(gatewayUrl)
    .connectionTimeout(30000)
    .discoveryEnabled(false)
    .discoveryFrequency(1, TimeUnit.MINUTES)
    .loadbalancerEnabled(true)
    .maxConnectionSize(1)
    .retryEnabled(false)
    .readTimeout(30000)
    .setAuthenticationStrategy(new StaticAuthenticationStrategy)
    .setAuthTokenKey("hadoop")
    .setAuthTokenValue("xxxxx")
    .setDWSVersion("v1")

  val metaDataClient = new LinkisMetaDataRemoteClient(clientConfig2.build())


  @Test
  @Disabled
  def testCreateDataSourceMysql: Unit = {
    val user = "hadoop"
    val system = "Linkis"

   //create data source
    val dataSource = new DataSource();
    dataSource.setDataSourceName("for-hive-test")
    dataSource.setDataSourceDesc("this is for hive test")
    dataSource.setCreateSystem(system)
    dataSource.setDataSourceTypeId(4L)

    val map = JsonUtils.jackson.readValue(JsonUtils.jackson.writeValueAsString(dataSource), new util.HashMap[String, Any]().getClass)
    val createDataSourceAction: CreateDataSourceAction = CreateDataSourceAction.builder()
      .setUser(user)
      .addRequestPayloads(map)
      .build()
    val createDataSourceResult: CreateDataSourceResult = dataSourceclient.createDataSource(createDataSourceAction)
    val dataSourceId = createDataSourceResult.getInsertId

     // set connection parameters
    val params = new util.HashMap[String, Any]
    val connectParams = new util.HashMap[String, Any]
    connectParams.put("envId", "3")
    params.put("connectParams", connectParams)
    params.put("comment", "init")

    val updateParameterAction: UpdateDataSourceParameterAction = UpdateDataSourceParameterAction.builder()
      .setUser(user)
      .setDataSourceId(dataSourceId)
      .addRequestPayloads(params)
      .build()
    val updateParameterResult: UpdateDataSourceParameterResult = dataSourceclient.updateDataSourceParameter(updateParameterAction)

    val version: Long = updateParameterResult.getVersion

    //publish configuration version
    dataSourceclient.publishDataSourceVersion(
      PublishDataSourceVersionAction.builder()
        .setDataSourceId(dataSourceId)
        .setUser(user)
        .setVersion(version)
        .build())

    // use example
    val metadataGetDatabasesAction: MetadataGetDatabasesAction = MetadataGetDatabasesAction.builder()
      .setUser(user)
      .setDataSourceId(dataSourceId)
      .setSystem(system)
      .build()
    val metadataGetDatabasesResult: MetadataGetDatabasesResult = metaDataClient.getDatabases(metadataGetDatabasesAction)

    val metadataGetTablesAction: MetadataGetTablesAction = MetadataGetTablesAction.builder()
      .setUser(user)
      .setDataSourceId(dataSourceId)
      .setDatabase("linkis_test_ind")
      .setSystem(system)
      .build()
    val metadataGetTablesResult: MetadataGetTablesResult = metaDataClient.getTables(metadataGetTablesAction)



    val metadataGetColumnsAction = MetadataGetColumnsAction.builder()
      .setUser(user)
      .setDataSourceId(dataSourceId)
      .setDatabase("linkis_test_ind")
      .setSystem(system)
      .setTable("test")
      .build()
    val metadataGetColumnsResult: MetadataGetColumnsResult = metaDataClient.getColumns(metadataGetColumnsAction)

  }
}

1. Data source function introduction​

1.1 Concept​

1.2 Three main modules​

1.3 Processing logic​

1.3.1 LinkisDataSourceRemoteClient​

1.3.2 LinkisMetaDataRemoteClient​

1.3 Source module directory structure​

1.4 Installation package directory structure​

1.5 Configuration Parameters​

1.6 Installation extra data drivers​

2. Enable data source function​

3. Use of data sources​

3.1 Mysql data source​

3.1.1 Created through the management console​

3.1.2 Using the client​

3.2 Hive data source​

3.2.1 Created through the management console​

3.2.2 Using the client​