RussellSpitzer commented on code in PR #4674:
URL: https://github.com/apache/iceberg/pull/4674#discussion_r862967285
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spark/v3.2/spark/src/main/java/org/apache/iceberg/spark/actions/BaseDeleteReachableFilesSparkAction.java:
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@@ -125,8 +126,9 @@ private Result doExecute() {
private Dataset<Row> buildReachableFileDF(TableMetadata metadata) {
Table staticTable = newStaticTable(metadata, io);
- return withFileType(buildValidContentFileDF(staticTable), CONTENT_FILE)
- .union(withFileType(buildManifestFileDF(staticTable), MANIFEST))
+ Dataset<Row> allManifests = loadMetadataTable(staticTable, ALL_MANIFESTS);
+ return withFileType(buildValidContentFileDF(staticTable, allManifests),
CONTENT_FILE)
+ .union(withFileType(buildManifestFileDF(allManifests), MANIFEST))
Review Comment:
Ah yes I should have been more clear, I was referring to the fact that the
dataset would be recomputed on both lines. The "loadMetadataTable" function
should be very fast but the actual planning should be expensive and that would
require a cache of some kind.
I'm a little worried in general about persisting things since I want to make
sure we clean up our caches asap.
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