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priyabhatnagar25priyabhatnagar25
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Cloud My Sql e2e Final Changes for review comments
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Lines changed: 311 additions & 161 deletions

‎cloudsql-mysql-plugin/src/e2e-test/features/sink/CloudMySqlDesignTimeValidation.feature‎

Lines changed: 29 additions & 14 deletions
Original file line numberDiff line numberDiff line change
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Feature: CloudMySql sink- Verify ,Mysql sink plugin design time validation scenarios
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# Copyright © 2023 Cask Data, Inc.
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##
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## Licensed under the Apache License, Version 2.0 (the "License"); you may not
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## use this file except in compliance with the License. You may obtain a copy of
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## the License at
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##
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## http://www.apache.org/licenses/LICENSE-2.0
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##
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## Unless required by applicable law or agreed to in writing, software
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## distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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## WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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## License for the specific language governing permissions and limitations under
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# the License..
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@CloudMySql
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Feature: CloudMySql sink- Verify CloudsqlMysql sink plugin design time validation scenarios
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Scenario: To verify CloudMySql sink plugin validation error message with invalid database
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Given Open Datafusion Project to configure pipeline
@@ -10,15 +25,15 @@ Feature: CloudMySql sink- Verify ,Mysql sink plugin design time validation scena
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Then Navigate to the properties page of plugin: "CloudSQL MySQL"
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Then Select dropdown plugin property: "select-jdbcPluginName" with option value: "cloudsql-mysql"
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Then Select radio button plugin property: "instanceType" with value: "public"
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Then Enter input plugin property: "connectionName" with value: "ConnectionName"
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Then Replace input plugin property: "connectionName" with value: "connectionName" 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: "RefName"
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Then Enter input plugin property: "database" with value: "TestDatabase"
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Then Enter textarea plugin property: "importQuery" with value: "insertQuery"
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# Then Click on the Get Schema button
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# Then Verify the Output Schema matches the Expected Schema: "outputSchema"
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# Then Validate "CloudSQL MySQL" plugin properties
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Then Click on the Get Schema button
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Then Verify the Output Schema matches the Expected Schema: "outputSchema"
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Then Validate "CloudSQL MySQL" plugin properties
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Then Close the Plugin Properties page
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Then Navigate to the properties page of plugin: "CloudSQL MySQL2"
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Then Select dropdown plugin property: "select-jdbcPluginName" with option value: "cloudsql-mysql"
@@ -30,7 +45,7 @@ Feature: CloudMySql sink- Verify ,Mysql sink plugin design time validation scena
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Then Enter input plugin property: "database" with value: "invalidDatabaseName"
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Then Enter input plugin property: "tableName" with value: "mytable"
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Then Click on the Validate button
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# Then Verify that the Plugin is displaying an error message: "errorMessageInvalidSinkDatabase" on the header
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Then Verify that the Plugin is displaying an error message: "errorMessageInvalidSinkDatabase" on the header
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Scenario: To verify CloudMySql sink plugin validation error message with invalid tablename
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Given Open Datafusion Project to configure pipeline
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Then Navigate to the properties page of plugin: "CloudSQL MySQL"
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Then Select dropdown plugin property: "select-jdbcPluginName" with option value: "cloudsql-mysql"
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Then Select radio button plugin property: "instanceType" with value: "public"
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Then Enter input plugin property: "connectionName" with value: "ConnectionName"
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Then Replace input plugin property: "connectionName" with value: "connectionName" 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: "RefName"
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Then Enter input plugin property: "database" with value: "TestDatabase"
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Then Enter textarea plugin property: "importQuery" with value: "insertQuery"
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# Then Click on the Get Schema button
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# Then Verify the Output Schema matches the Expected Schema: "outputSchema"
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# Then Validate "CloudSQL MySQL" plugin properties
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Then Click on the Get Schema button
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Then Verify the Output Schema matches the Expected Schema: "outputSchema"
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Then Validate "CloudSQL MySQL" plugin properties
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Then Close the Plugin Properties page
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Then Navigate to the properties page of plugin: "CloudSQL MySQL2"
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Then Select dropdown plugin property: "select-jdbcPluginName" with option value: "cloudsql-mysql"
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Then Select radio button plugin property: "instanceType" with value: "public"
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Then Enter input plugin property: "connectionName" with value: "ConnectionName"
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Then Replace input plugin property: "connectionName" with value: "connectionName" 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: "invalidRefName"
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Then Enter input plugin property: "database" with value: "TestDatabase"
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Then Enter input plugin property: "tableName" with value: "Invalidtable"
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Then Click on the Validate button
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# Then Verify that the Plugin Property: "table" is displaying an in-line error message: "errorMessageInvalidTableName"
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Then Verify that the Plugin Property: "table" is displaying an in-line error message: "errorMessageInvalidTableName"
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Scenario: To verify CloudMySql sink plugin validation error message with invalid reference Name
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Given Open Datafusion Project to configure pipeline
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Then Navigate to the properties page of plugin: "CloudSQL MySQL"
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Then Select dropdown plugin property: "select-jdbcPluginName" with option value: "cloudsql-mysql"
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Then Select radio button plugin property: "instanceType" with value: "public"
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Then Enter input plugin property: "connectionName" with value: "ConnectionName"
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Then Replace input plugin property: "connectionName" with value: "connectionName" 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: "invalidRef"
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Then Navigate to the properties page of plugin: "CloudSQL MySQL"
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Then Select dropdown plugin property: "select-jdbcPluginName" with option value: "cloudsql-mysql"
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Then Select radio button plugin property: "instanceType" with value: "public"
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Then Enter input plugin property: "connectionName" with value: "ConnectionName"
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Then Replace input plugin property: "connectionName" with value: "connectionName" 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 key value pairs for plugin property: "connectionArguments" with values from json: "connectionArgumentsList"
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Then Enter input plugin property: "referenceName" with value: "RefName"

‎cloudsql-mysql-plugin/src/e2e-test/features/sink/CloudMySqlDesignTimeWithMacro.feature‎

Lines changed: 19 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -1,3 +1,18 @@
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# Copyright © 2023 Cask Data, Inc.
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##
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## Licensed under the Apache License, Version 2.0 (the "License"); you may not
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## use this file except in compliance with the License. You may obtain a copy of
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## the License at
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##
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## http://www.apache.org/licenses/LICENSE-2.0
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##
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## Unless required by applicable law or agreed to in writing, software
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## distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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## WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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## License for the specific language governing permissions and limitations under
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# the License..
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@CloudMySql
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Feature: CloudMySql sink- Verify CloudMySql sink plugin design time macro scenarios
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Scenario: To verify CloudMySql sink plugin validation with macro enabled fields for connection section
@@ -6,15 +21,15 @@ Feature: CloudMySql sink- Verify CloudMySql sink plugin design time macro scenar
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When Select plugin: "CloudSQL MySQL" from the plugins list as: "Sink"
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Then Navigate to the properties page of plugin: "CloudSQL MySQL"
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Then Click on the Macro button of Property: "jdbcPluginName" and set the value to: "cloudsql-mysql"
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Then Enter input plugin property: "connectionName" with value: "ConnectionName"
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Then Replace input plugin property: "connectionName" with value: "connectionName" for Credentials and Authorization related fields
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Then Select radio button plugin property: "instanceType" with value: "public"
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Then Click on the Macro button of Property: "user" and set the value to: "username"
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Then Click on the Macro button of Property: "password" and set the value to: "password"
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Then Click on the Macro button of Property: "connectionArguments" and set the value to: "connectionArgumentsList"
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Then Enter input plugin property: "referenceName" with value: "sourceRef"
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Then Replace input plugin property: "database" with value: "TestDatabase"
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Then Click on the Validate button
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# Then Validate "CloudSQL MySQL" plugin properties
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Then Validate "CloudSQL MySQL" plugin properties
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Then Close the Plugin Properties page
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Scenario: To verify cloudsql sink plugin validation with macro enabled fields for basic section
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When Select plugin: "CloudSQL MySQL" from the plugins list as: "Sink"
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Then Navigate to the properties page of plugin: "CloudSQL MySQL"
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Then Select dropdown plugin property: "select-jdbcPluginName" with option value: "cloudsql-mysql"
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Then Enter input plugin property: "connectionName" with value: "ConnectionName"
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Then Replace input plugin property: "connectionName" with value: "connectionName" for Credentials and Authorization related fields
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Then Select radio button plugin property: "instanceType" with value: "public"
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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: "sourceRef"
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Then Replace input plugin property: "database" with value: "TestDatabase"
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Then Click on the Macro button of Property: "tableName" and set the value to: "mytable"
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Then Click on the Validate button
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# Then Validate "CloudSQL MySQL" plugin properties
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Then Validate "CloudSQL MySQL" plugin properties
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Then Close the Plugin Properties page

‎cloudsql-mysql-plugin/src/e2e-test/features/sink/CloudMySqlRunTime.feature‎

Lines changed: 92 additions & 3 deletions
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@@ -15,7 +15,7 @@
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@CloudMySql
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Feature: CloudMySql Sink - Run time scenarios
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@BQ_SOURCE_TEST @CLOUDMYSQL_TEST_TABLE
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@BQ_SOURCE_TEST @CLOUDMYSQL_TEST_TABLE @PLUGIN-1526
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Scenario: To verify data is getting transferred from BigQuery source to CloudMySql sink successfully
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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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And Enter input plugin property: "referenceName" with value: "Reference"
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And Replace input plugin property: "project" with value: "projectId"
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And Enter input plugin property: "datasetProject" with value: "datasetprojectId"
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And Enter input plugin property: "dataset" with value: "dataset"
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And Replace input plugin property: "dataset" with value: "dataset"
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And 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 Navigate to the properties page of plugin: "CloudSQL MySQL"
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Then Select dropdown plugin property: "select-jdbcPluginName" with option value: "cloudsql-mysql"
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Then Select radio button plugin property: "instanceType" with value: "public"
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Then Enter input plugin property: "connectionName" with value: "ConnectionName"
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Then Replace input plugin property: "connectionName" with value: "connectionName" 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: "RefName"
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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 CloudSQLMySQL table is equal to the values from source BigQuery table
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@BQ_SOURCE_TEST @CLOUDMYSQL_TEST_TABLE @PLUGIN-1526
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Scenario: To verify data is getting transferred from BigQuery source to CloudMySql sink successfully when connection arguments are set
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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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And Navigate to the properties page of plugin: "BigQuery"
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And Enter input plugin property: "referenceName" with value: "Reference"
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And Replace input plugin property: "project" with value: "projectId"
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And Enter input plugin property: "datasetProject" with value: "datasetprojectId"
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And Replace input plugin property: "dataset" with value: "dataset"
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And 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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And Close the Plugin Properties page
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When Expand Plugin group in the LHS plugins list: "Sink"
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When Select plugin: "CloudSQL MySQL" from the plugins list as: "Sink"
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Then Connect plugins: "BigQuery" and "CloudSQL MySQL" to establish connection
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Then Navigate to the properties page of plugin: "CloudSQL MySQL"
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Then Select dropdown plugin property: "select-jdbcPluginName" with option value: "cloudsql-mysql"
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Then Select radio button plugin property: "instanceType" with value: "public"
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Then Replace input plugin property: "connectionName" with value: "connectionName" 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 key value pairs for plugin property: "connectionArguments" with values from json: "connectionArgumentsList"
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Then Enter input plugin property: "referenceName" with value: "RefName"
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Then Enter 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 Validate "CloudSQL MySQL" 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 Wait till pipeline preview is in running state
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Then Open and capture pipeline preview logs
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Then Verify the preview run status of pipeline in the logs is "succeeded"
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Then Close the pipeline logs
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Then Close the preview
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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 Close the pipeline logs
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Then Validate the values of records transferred to target CloudSQLMySQL table is equal to the values from source BigQuery table
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@BQ_SOURCE_TEST @CLOUDMYSQL_TEST_TABLE @PLUGIN-1526
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Scenario: To verify data is getting transferred from BigQuery source to CloudSMySQL sink with Advanced property Connection timeout
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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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And Navigate to the properties page of plugin: "BigQuery"
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And Enter input plugin property: "referenceName" with value: "Reference"
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And Replace input plugin property: "project" with value: "projectId"
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And Enter input plugin property: "datasetProject" with value: "datasetprojectId"
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And Replace input plugin property: "dataset" with value: "dataset"
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And 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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And Close the Plugin Properties page
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When Expand Plugin group in the LHS plugins list: "Sink"
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When Select plugin: "CloudSQL MySQL" from the plugins list as: "Sink"
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Then Connect plugins: "BigQuery" and "CloudSQL MySQL" to establish connection
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Then Navigate to the properties page of plugin: "CloudSQL MySQL"
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Then Select dropdown plugin property: "select-jdbcPluginName" with option value: "cloudsql-mysql"
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Then Select radio button plugin property: "instanceType" with value: "public"
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Then Replace input plugin property: "connectionName" with value: "connectionName" 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: "RefName"
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Then Enter 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: "connectionTimeout" with value: "connectionTimeout"
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Then Validate "CloudSQL MySQL" 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 Wait till pipeline preview is in running state
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Then Open and capture pipeline preview logs
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Then Verify the preview run status of pipeline in the logs is "succeeded"
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Then Close the pipeline logs
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Then Close the preview
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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 Close the pipeline logs
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Then Validate the values of records transferred to target CloudSQLMySQL table is equal to the values from source BigQuery table
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