LuciferYang commented on a change in pull request #33748:
URL: https://github.com/apache/spark/pull/33748#discussion_r689993828
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File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/orc/OrcFileFormat.scala
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@@ -154,11 +155,18 @@ class OrcFileFormat
(file: PartitionedFile) => {
val conf = broadcastedConf.value.value
+ val metaCacheEnabled =
+ conf.getBoolean(SQLConf.FILE_META_CACHE_ORC_ENABLED.key, false)
val filePath = new Path(new URI(file.filePath))
val fs = filePath.getFileSystem(conf)
- val readerOptions = OrcFile.readerOptions(conf).filesystem(fs)
+ val readerOptions = if (metaCacheEnabled) {
+ val tail = OrcFileMeta.readTailFromCache(filePath, conf)
+ OrcFile.readerOptions(conf).filesystem(fs).orcTail(tail)
Review comment:
This is a very good question!!! If we want to handle it well, we need a
relatively more complex design, such as adding a command to trigger the
relevant cleaning of all executors when the file changes.
However, if the file changes are not perceived by spark, I think wrong data
will be read here
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