Comments (6)
Not planned at the moment, if anyone wishes to help write this it can be very helpful.
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It's possible now with the new generic file input
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readme does not mention anything about ORC
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Add to your metric config file:
output:
- dataFrameName: df
outputType: File
format: orc
outputOptions:
saveMode: Overwrite
path: file.orc
....
Check out metric full sample config file
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its not in the metric full sample config file?
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We haven't documented all formats possible but the file output type allows sending arbitrary formats and parameters to spark as long as it's in your classpath.
You are welcome to add an orc example + documentation it would be great!
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Related Issues (20)
- Control writing specific output in yaml file HOT 1
- Add SQS Output support
- Kafka Output Extra Arguments
- How we can read and write the data to Hive? HOT 3
- failed to rest hudi metrics HOT 2
- Adding auth parameters for schemaRegistry
- Unable to load S3 HOT 2
- Add support for Kafka input in batch mode
- Which version of log4j is used in metorikku? HOT 2
- Bump version of jackson-databind to get rid of vulnerabilities
- How to use Apache Spark Connector?
- spark-jobserver server support
- Error: java.sql.SQLException: No suitable driver HOT 2
- Significance of tableName for output in metric.yaml file HOT 2
- Upgrade ABRiS to be able to use Spark 3.2.x
- Pyspark code
- Some questions around E2E Tests
- using jdbc input to load oracle datasource will throw NPE
- Support for Spark 3.2.0+
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