linkedin / linkedin/spark-tfrecord
write compression none invalid
Open
Nobody has claimed this yet.
- Dominant language
- Scala
- Stars
- 300
- Forks
- 57
- PR merge metrics
- No merged PRs in 30d
Description
resultDF.write
.mode(SaveMode.Overwrite)
.format("tfrecord")
.option("recordType", "Example")
.option("compression", "none")
.save(tfrecordPath)
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Reproduce the issue using the Scala Spark write example in the report, especially the compression option set to "none". Trace how the spark-tfrecord writer validates compression values; done means the reported configuration is handled correctly and the relevant behavior is covered by a regression test.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- scala, spark, tensorflow
- Domain
- data
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100