RussellSpitzer commented on a change in pull request #4451:
URL: https://github.com/apache/iceberg/pull/4451#discussion_r840984178
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File path:
spark/v3.2/spark/src/main/java/org/apache/iceberg/spark/actions/BaseDeleteOrphanFilesSparkAction.java
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@@ -172,17 +174,29 @@ private String jobDesc() {
Column nameEqual = actualFileName.equalTo(validFileName);
Column actualContains =
actualFileDF.col("file_path").contains(validFileDF.col("file_path"));
Column joinCond = nameEqual.and(actualContains);
- List<String> orphanFiles = actualFileDF.join(validFileDF, joinCond,
"leftanti")
- .as(Encoders.STRING())
- .collectAsList();
-
- Tasks.foreach(orphanFiles)
- .noRetry()
- .executeWith(deleteExecutorService)
- .suppressFailureWhenFinished()
- .onFailure((file, exc) -> LOG.warn("Failed to delete file: {}", file,
exc))
- .run(deleteFunc::accept);
+ Dataset<String> orphanDF = actualFileDF.join(validFileDF, joinCond,
"leftanti")
+ .as(Encoders.STRING());
+ return deleteFiles(orphanDF);
+ }
+ private BaseDeleteOrphanFilesActionResult deleteFiles(Dataset<String>
orphanDF) {
+ boolean streamResults = PropertyUtil.propertyAsBoolean(options(),
STREAM_RESULTS, false);
+ Iterator<String> itr;
+ if (streamResults) {
+ itr = orphanDF.toLocalIterator();
+ } else {
+ itr = orphanDF.collectAsList().iterator();
+ }
+ List<String> orphanFiles =
Collections.synchronizedList(Lists.newArrayList());
Review comment:
Is there a benefit to streaming the results from the job but then
collecting everything in memory anyway? Seems like we avoid materializing
everything in memory only to materialize it all in memory ...
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