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Merge pull request cdapio#1868 from cloudsufi/e2e-RowDenormalizer-ITN
e2e-RowDenormalizer-ITN
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core-plugins/src/e2e-test/features/rowdenormalizer/rowDenormalizer.feature
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# Copyright © 2024 Cask Data, Inc. | ||
# | ||
# Licensed under the Apache License, Version 2.0 (the "License"); you may not | ||
# use this file except in compliance with the License. You may obtain a copy of | ||
# the License at | ||
# | ||
# http://www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, software | ||
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT | ||
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the | ||
# License for the specific language governing permissions and limitations under | ||
# the License. | ||
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@File_Sink | ||
Feature:File Sink - Verify File source to File sink data transfer using RowDenormalizer analytics | ||
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@ROW_DENO_TEST @FILE_SINK_TEST @File_Sink_Required | ||
Scenario: To verify data is getting transferred from File to File sink plugin successfully with RowDenormalizer plugin | ||
Given Open Datafusion Project to configure pipeline | ||
When Select plugin: "File" from the plugins list as: "Source" | ||
When Expand Plugin group in the LHS plugins list: "Analytics" | ||
When Select plugin: "RowDenormalizer" from the plugins list as: "Analytics" | ||
Then Connect plugins: "File" and "RowDenormalizer" to establish connection | ||
When Expand Plugin group in the LHS plugins list: "Sink" | ||
When Select plugin: "File" from the plugins list as: "Sink" | ||
Then Connect plugins: "RowDenormalizer" and "File2" to establish connection | ||
Then Navigate to the properties page of plugin: "File" | ||
Then Enter input plugin property: "referenceName" with value: "FileReferenceName" | ||
Then Enter input plugin property: "path" with value: "rowDenoTest" | ||
Then Select dropdown plugin property: "format" with option value: "csv" | ||
Then Click plugin property: "skipHeader" | ||
Then Click on the Get Schema button | ||
Then Change datatype of fields in output schema with : "fileDatatypeChange" | ||
Then Validate "File" plugin properties | ||
Then Close the Plugin Properties page | ||
Then Navigate to the properties page of plugin: "RowDenormalizer" | ||
Then Enter input plugin property: "keyField" with value: "keyValue" | ||
Then Enter input plugin property: "nameField" with value: "nameValue" | ||
Then Enter input plugin property: "valueField" with value: "value" | ||
Then Enter Value for plugin property table key : "outputFields" with values: "fieldValues" | ||
Then Enter key value pairs for plugin property: "fieldAliases" with values from json: "columnValues" | ||
Then Click on the Validate button | ||
Then Close the Plugin Properties page | ||
Then Navigate to the properties page of plugin: "File2" | ||
Then Enter input plugin property: "referenceName" with value: "FileReferenceName" | ||
Then Enter input plugin property: "path" with value: "fileSinkTargetBucket" | ||
Then Replace input plugin property: "pathSuffix" with value: "yyyy-MM-dd-HH-mm-ss" | ||
Then Select dropdown plugin property: "format" with option value: "csv" | ||
Then Click plugin property: "writeHeader" | ||
Then Validate "File2" plugin properties | ||
Then Close the Plugin Properties page | ||
Then Save the pipeline | ||
Then Deploy the pipeline | ||
Then Run the Pipeline in Runtime | ||
Then Wait till pipeline is in running state | ||
Then Open and capture logs | ||
Then Verify the pipeline status is "Succeeded" | ||
Then Close the pipeline logs | ||
Then Validate output file generated by file sink plugin "fileSinkTargetBucket" is equal to expected output file "rowDenoTestOutputFile" |
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core-plugins/src/e2e-test/resources/testdata/file/CSV_ROWDENORMALIZER_TEST.csv
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id,attribute,value | ||
1,name,John | ||
1,age,25 | ||
1,city,New York | ||
2,name,Jane | ||
2,age,30 | ||
2,city,San Francisco | ||
3,name,Alice | ||
3,age,28 | ||
3,city,Los Angeles |
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...plugins/src/e2e-test/resources/testdata/file/expected_outputs/OUTPUT_FOR_ROWDENO_TEST.csv
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id,newCity | ||
2,San Francisco | ||
3,Los Angeles | ||
1,New York |