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AnkitCLIAnkitCLI
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e2e tests PostgreSql Sink
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‎postgresql-plugin/src/e2e-test/features/postgresql/sink/PostgresqlRunTime.feature

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Original file line numberDiff line numberDiff line change
@@ -144,3 +144,102 @@ Feature: PostgreSQL - Verify data transfer from BigQuery source to PostgreSQL si
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Then Open and capture logs
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Then Verify the pipeline status is "Succeeded"
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Then Validate the values of records transferred to target PostgreSQL table is equal to the values from source BigQuery table
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@BQ_SOURCE_TEST @Postgresql_Required @POSTGRESQL_TEST_TABLE @Plugin-1526
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Scenario Outline: To verify data is getting transferred from BigQuery source to PostgreSQL sink with Advanced operations Upsert and Update for table key
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Given Open Datafusion Project to configure pipeline
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When Expand Plugin group in the LHS plugins list: "Source"
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When Select plugin: "BigQuery" from the plugins list as: "Source"
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When Expand Plugin group in the LHS plugins list: "Sink"
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When Select plugin: "PostgreSQL" from the plugins list as: "Sink"
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Then Connect plugins: "BigQuery" and "PostgreSQL" to establish connection
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Then Navigate to the properties page of plugin: "BigQuery"
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Then Replace input plugin property: "project" with value: "projectId"
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Then Enter input plugin property: "datasetProject" with value: "projectId"
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Then Enter input plugin property: "referenceName" with value: "BQReferenceName"
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Then Enter input plugin property: "dataset" with value: "dataset"
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Then Enter input plugin property: "table" with value: "bqSourceTable"
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Then Click on the Get Schema button
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Then Verify the Output Schema matches the Expected Schema: "bqOutputMultipleDatatypesSchema"
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Then Validate "BigQuery" plugin properties
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Then Close the Plugin Properties page
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Then Navigate to the properties page of plugin: "PostgreSQL"
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Then Select dropdown plugin property: "select-jdbcPluginName" with option value: "driverName"
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Then Replace input plugin property: "host" with value: "host" for Credentials and Authorization related fields
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Then Replace input plugin property: "port" with value: "port" for Credentials and Authorization related fields
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Then Replace input plugin property: "database" with value: "databaseName"
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Then Replace input plugin property: "tableName" with value: "targetTable"
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Then Replace input plugin property: "user" with value: "username" for Credentials and Authorization related fields
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Then Replace input plugin property: "password" with value: "password" for Credentials and Authorization related fields
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Then Enter input plugin property: "referenceName" with value: "targetRef"
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Then Replace input plugin property: "dbSchemaName" with value: "schema"
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Then Select radio button plugin property: "operationName" with value: "<options>"
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Then Click on the Add Button of the property: "relationTableKey" with value:
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| PostgreSQLTableKey |
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Then Validate "PostgreSQL" plugin properties
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Then Close the Plugin Properties page
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Then Save the pipeline
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Then Preview and run the pipeline
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Then Verify the preview of pipeline is "success"
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Then Click on preview data for PostgreSQL sink
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Then Close the preview data
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Then Deploy the pipeline
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Then Run the Pipeline in Runtime
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Then Wait till pipeline is in running state
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Then Open and capture logs
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Then Verify the pipeline status is "Succeeded"
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Then Validate the values of records transferred to target PostgreSQL table is equal to the values from source BigQuery table
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Examples:
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| options |
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| upsert |
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| update |
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@BQ_SOURCE_TEST @Postgresql_Required @POSTGRESQL_TEST_TABLE @CONNECTION @Plugin-1526
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Scenario: To verify data is getting transferred from BigQuery source to PostgreSQL sink successfully using Connection
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Given Open Datafusion Project to configure pipeline
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When Expand Plugin group in the LHS plugins list: "Source"
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When Select plugin: "BigQuery" from the plugins list as: "Source"
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When Expand Plugin group in the LHS plugins list: "Sink"
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When Select plugin: "PostgreSQL" from the plugins list as: "Sink"
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Then Connect plugins: "BigQuery" and "PostgreSQL" to establish connection
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Then Navigate to the properties page of plugin: "BigQuery"
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Then Replace input plugin property: "project" with value: "projectId"
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Then Enter input plugin property: "datasetProject" with value: "projectId"
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Then Enter input plugin property: "referenceName" with value: "BQReferenceName"
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Then Enter input plugin property: "dataset" with value: "dataset"
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Then Enter input plugin property: "table" with value: "bqSourceTable"
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Then Click on the Get Schema button
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Then Validate "BigQuery" plugin properties
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Then Close the Plugin Properties page
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Then Navigate to the properties page of plugin: "PostgreSQL"
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And Click plugin property: "switch-useConnection"
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And Click on the Browse Connections button
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And Click on the Add Connection button
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Then Click plugin property: "connector-PostgreSQL"
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And Enter input plugin property: "name" with value: "connection.name"
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Then Select dropdown plugin property: "select-jdbcPluginName" with option value: "driverName"
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Then Replace input plugin property: "host" with value: "host" for Credentials and Authorization related fields
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Then Replace input plugin property: "port" with value: "port" for Credentials and Authorization related fields
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Then Replace input plugin property: "user" with value: "username" for Credentials and Authorization related fields
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Then Replace input plugin property: "password" with value: "password" for Credentials and Authorization related fields
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Then Replace input plugin property: "database" with value: "databaseName"
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Then Click on the Test Connection button
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And Verify the test connection is successful
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Then Click on the Create button
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Then Select connection: "connection.name"
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Then Enter input plugin property: "referenceName" with value: "targetRef"
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Then Replace input plugin property: "tableName" with value: "targetTable"
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Then Replace input plugin property: "dbSchemaName" with value: "schema"
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Then Validate "PostgreSQL" plugin properties
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Then Close the Plugin Properties page
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Then Save the pipeline
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Then Preview and run the pipeline
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Then Verify the preview of pipeline is "success"
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Then Click on preview data for PostgreSQL sink
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Then Close the preview data
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Then Deploy the pipeline
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Then Run the Pipeline in Runtime
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Then Wait till pipeline is in running state
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Then Open and capture logs
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Then Verify the pipeline status is "Succeeded"
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Then Validate the values of records transferred to target PostgreSQL table is equal to the values from source BigQuery table

‎postgresql-plugin/src/e2e-test/features/postgresql/sink/PostgresqlRunTimeMacro.feature

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Original file line numberDiff line numberDiff line change
@@ -136,3 +136,51 @@ Feature: PostgreSQL - Verify data transfer to PostgreSQL sink with macro argumen
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Then Verify the pipeline status is "Succeeded"
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Then Close the pipeline logs
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Then Validate the values of records transferred to target PostgreSQL table is equal to the values from source BigQuery table
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@BQ_SOURCE_TEST @Postgresql_Required @POSTGRESQL_TEST_TABLE @PLUGIN-1628 @Plugin-1526
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Scenario: To verify data is getting transferred from BigQuery source to PostgreSQL sink using connection arguments and operations as macro
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Given Open Datafusion Project to configure pipeline
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When Expand Plugin group in the LHS plugins list: "Source"
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When Select plugin: "BigQuery" from the plugins list as: "Source"
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When Expand Plugin group in the LHS plugins list: "Sink"
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When Select plugin: "PostgreSQL" from the plugins list as: "Sink"
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Then Connect plugins: "BigQuery" and "PostgreSQL" to establish connection
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Then Navigate to the properties page of plugin: "BigQuery"
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Then Enter input plugin property: "referenceName" with value: "BQReferenceName"
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Then Click on the Macro button of Property: "projectId" and set the value to: "bqProjectId"
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Then Click on the Macro button of Property: "datasetProjectId" and set the value to: "bqDatasetProjectId"
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Then Click on the Macro button of Property: "dataset" and set the value to: "bqDataset"
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Then Click on the Macro button of Property: "table" and set the value to: "bqTable"
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Then Validate "BigQuery" plugin properties
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Then Close the Plugin Properties page
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Then Navigate to the properties page of plugin: "PostgreSQL"
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Then Select dropdown plugin property: "select-jdbcPluginName" with option value: "driverName"
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Then Replace input plugin property: "host" with value: "host" for Credentials and Authorization related fields
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Then Replace input plugin property: "port" with value: "port" for Credentials and Authorization related fields
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Then Replace input plugin property: "user" with value: "username" for Credentials and Authorization related fields
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Then Replace input plugin property: "password" with value: "password" for Credentials and Authorization related fields
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Then Enter input plugin property: "referenceName" with value: "targetRef"
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Then Replace input plugin property: "database" with value: "databaseName"
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Then Click on the Macro button of Property: "connectionArguments" and set the value to: "PostgreSQLConnectionArguments"
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Then Click on the Macro button of Property: "operationName" and set the value to: "PostgreSQLOperationName"
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Then Click on the Macro button of Property: "tableName" and set the value to: "PostgreSQLTableName"
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Then Click on the Macro button of Property: "dbSchemaName" and set the value to: "PostgreSQLSchemaName"
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Then Validate "PostgreSQL" plugin properties
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Then Close the Plugin Properties page
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Then Save the pipeline
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Then Deploy the pipeline
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Then Run the Pipeline in Runtime
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Then Enter runtime argument value "projectId" for key "bqProjectId"
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Then Enter runtime argument value "projectId" for key "bqDatasetProjectId"
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Then Enter runtime argument value "dataset" for key "bqDataset"
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Then Enter runtime argument value "bqSourceTable" for key "bqTable"
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Then Enter runtime argument value "PostgreSQLConnectionArgumentsList" for key "PostgreSQLConnectionArgumentsList"
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Then Enter runtime argument value "PostgreSQLOperationName" for key "PostgreSQLOperationName"
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Then Enter runtime argument value "targetTable" for key "PostgreSQLTableName"
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Then Enter runtime argument value "schema" for key "PostgreSQLSchemaName"
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Then Run the Pipeline in Runtime with runtime arguments
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Then Wait till pipeline is in running state
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Then Open and capture logs
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Then Verify the pipeline status is "Succeeded"
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Then Close the pipeline logs
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Then Validate the values of records transferred to target PostgreSQL table is equal to the values from source BigQuery table

‎postgresql-plugin/src/e2e-test/java/io/cdap/plugin/common/stepsdesign/TestSetupHooks.java

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@@ -17,6 +17,8 @@
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package io.cdap.plugin.common.stepsdesign;
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import com.google.cloud.bigquery.BigQueryException;
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import io.cdap.e2e.pages.actions.CdfConnectionActions;
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import io.cdap.e2e.pages.actions.CdfPluginPropertiesActions;
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import io.cdap.e2e.utils.BigQueryClient;
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import io.cdap.e2e.utils.PluginPropertyUtils;
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import io.cdap.plugin.PostgresqlClient;
@@ -159,4 +161,25 @@ private static void createSourceBQTableWithQueries(String bqCreateTableQueryFile
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PluginPropertyUtils.addPluginProp("bqSourceTable", bqSourceTable);
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BeforeActions.scenario.write("BQ Source Table " + bqSourceTable + " created successfully");
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}
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@Before(order = 1, value = "@CONNECTION")
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public static void setNewConnectionName() {
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String connectionName = "PostgreSql" + RandomStringUtils.randomAlphanumeric(10);
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PluginPropertyUtils.addPluginProp("connection.name", connectionName);
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BeforeActions.scenario.write("New Connection name: " + connectionName);
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}
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private static void deleteConnection(String connectionType, String connectionName) throws IOException {
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CdfConnectionActions.openWranglerConnectionsPage();
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CdfConnectionActions.expandConnections(connectionType);
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CdfConnectionActions.openConnectionActionMenu(connectionType, connectionName);
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CdfConnectionActions.selectConnectionAction(connectionType, connectionName, "Delete");
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CdfPluginPropertiesActions.clickPluginPropertyButton("Delete");
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}
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@After(order = 1, value = "@CONNECTION")
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public static void deleteBQConnection() throws IOException {
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deleteConnection("PostgreSql", "connection.name");
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PluginPropertyUtils.removePluginProp("connection.name");
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}
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}

‎postgresql-plugin/src/e2e-test/resources/pluginParameters.properties

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@@ -72,6 +72,9 @@ invalidBoundingQuery=SELECT MIN(id),MAX(id) FROM table
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invalidBoundingQueryValue=select;
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invalidTable=table
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#POSTGRESQL Valid Properties
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PostgreSQLConnectionArgumentsList=fetchsize=1000
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PostgreSQLOperationName=INSERT
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PostgreSQLTableKey=col2
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connectionArgumentsList=[{"key":"queryTimeout","value":"-1"}]
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connectionTimeout=150
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numberOfSplits=2

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