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https://issues.apache.org/jira/browse/SPARK-29217?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16936309#comment-16936309
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Thanida commented on SPARK-29217:
---------------------------------
I use spark stream writer
{code:java}
df.writeStream
.trigger(Trigger.ProcessingTime(30000))
.outputMode("append")
.format("parquet")
.option("path", "path/destination")
.partitionBy("dt").start();
{code}
I got data in the output as
{code:java}
- _spark_metadata/..
- dt=20190923/part-00000-....parquet
- dt=20190923/part-00001-....parquet
- dt=20190923/part-00002-....parquet
- dt=20190924/part-00000-....parquet{code}
Then, I delete one partition
{code:java}
dt=20190923{code}
After that, I read the data by
{code:java}
spark.read.format("parquet").load("path/destination"){code}
I got an error java.io.FileNotFoundException
{code:java}
java.io.FileNotFoundException: File
file:path/destination/dt=20190923/part-00000-....parquet{code}
> How to read streaming output path by ignoring metadata log files
> ----------------------------------------------------------------
>
> Key: SPARK-29217
> URL: https://issues.apache.org/jira/browse/SPARK-29217
> Project: Spark
> Issue Type: Question
> Components: Spark Core
> Affects Versions: 2.4.3
> Reporter: Thanida
> Priority: Minor
>
> As the output path of spark streaming contains `_spark_metadata` directory,
> reading by
> {code:java}
> spark.read.format("parquet").load(filepath)
> {code}
> always depend on files listing in metadata log.
> Moving some files in the output while streaming caused reading data failed.
> So, how to read data in the streaming output path by ignoring metadata log
> files?
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