Comments (4)
Scala 2.12 support would be nice. For myself, i'm using GCP DataProc with an image of Apache Spark 3.1.3 and Scala 2.12.14.
https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-release-2.0
Having sparklens as a supported listener solution in this environment with an emailed report would be really nice, because my organization tends to restrict FW rules aggressively that makes it very difficult to utilize many of the UI based diagnostic tools.
Just change Scala and Spark versions in build.sbt and rebuild the package with sbt compile && sbt package Scala 2.12 and Spark 2.4.0 worked for me.
@oleksiilopasov thanks, but this did not work for me. Compilation failed, SparkHadoopUtil is not longer accessible, along with some other errors.
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Just change Scala and Spark versions in build.sbt and rebuild the package with sbt compile && sbt package
Scala 2.12 and Spark 2.4.0 worked for me.
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Does Qubole have any plans to release a build like that to spark-packages?
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Hey, any update on this topic?
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Related Issues (20)
- Not able to run spark lens on spark history file HOT 1
- support in spark 3.x version HOT 1
- The qubole#sparklens;0.3.2-s_2.11 module is intermittently not found in the SparkPackages repo HOT 5
- sparkles.qubole.com gets timed out and does not open. Not able to upload sparklers JSON file
- Emailing report feature Not Working - Unresponsive post
- resolver-fix
- Not able to see the sparklens.Json File at mentioned Location HOT 1
- pyspark can use sparklens? HOT 1
- Implementation Of StreamingLens Without Changing in Existing Code. HOT 1
- Implementation Of StreamingLens in Existing Spark Streaming Applications
- JAR version Issue while Implementing StreamingLense HOT 1
- Not Able to See StreamingLens Report In Logs.
- analysize spark eventhistory , but per stage metrics, max task mem is all 0.0KB HOT 1
- Error while opening PySpark shell with the package and conf on my local
- Report mail not working HOT 1
- Mismatch in Driverclock time in notbook function and report via sparkjson file
- py4j.protocol.Py4JJavaError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext. : java.lang.NoClassDefFoundError: scala/Product$class
- Getting this error in my jupyter notebook Py4JJavaError
- Sparklens UI Not working HOT 1
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