prashantwason commented on code in PR #17775:
URL: https://github.com/apache/hudi/pull/17775#discussion_r2770789667


##########
hudi-common/src/main/java/org/apache/hudi/BaseHoodieTableFileIndex.java:
##########
@@ -353,6 +361,27 @@ private HoodieTimeline findInstantsInRange() {
     }
   }
 
+  /**
+   * List partition paths matching path prefixes from the Catalog.
+   *
+   * File Index implementations can override this method to fetch partition 
paths from the Catalog. This may be faster
+   * than listing all partition paths from the table metadata and filtering 
them. This is definitely faster than
+   * listing all partition paths from the file system when metadata table may 
not be enabled.
+   *
+   * Fetches all partition paths that are the sub-directories of the list of 
provided (relative) paths.
+   * <p>
+   * E.g., Table has partition 4 partitions:
+   * year=2022/month=08/day=30, year=2022/month=08/day=31, 
year=2022/month=07/day=03, year=2022/month=07/day=04
+   * The relative path "year=2022" returns all partitions, while the relative 
path
+   * "year=2022/month=07" returns only two partitions.
+   *
+   * @param relativePathPrefixes The prefixes to relative partition paths that 
must match
+   * @return null if not supported by File Index implementation
+   */
+  protected List<String> getMatchingPartitionPathsFromCatalog(List<String> 
relativePathPrefixes) {

Review Comment:
   Done. Added `isPartitionListingViaCatalogEnabled()` boolean method in both 
the base class and SparkHoodieTableFileIndex. The code now uses this method 
instead of checking for null return values.



##########
hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/hudi/SparkHoodieTableFileIndex.scala:
##########
@@ -437,6 +439,56 @@ class SparkHoodieTableFileIndex(spark: SparkSession,
 
   private def arePartitionPathsUrlEncoded: Boolean =
     metaClient.getTableConfig.getUrlEncodePartitioning.toBoolean
+  /**
+   * List partition paths matching path prefixes from the Catalog.
+   *
+   * File Index implementations can override this method to fetch partition 
paths from the Catalog. This may be faster
+   * than listing all partition paths from the table metadata and filtering 
them. This is definitely faster than
+   * listing all partition paths from the file system when metadata table may 
not be enabled.
+   *
+   * Fetches all partition paths that are the sub-directories of the list of 
provided (relative) paths.
+   * <p>
+   * E.g., Table has partition 4 partitions:
+   * year=2022/month=08/day=30, year=2022/month=08/day=31, 
year=2022/month=07/day=03, year=2022/month=07/day=04
+   * The relative path "year=2022" returns all partitions, while the relative 
path
+   * "year=2022/month=07" returns only two partitions.
+   *
+   * @param relativePathPrefixes The prefixes to relative partition paths that 
must match
+   * @return null if not supported by File Index implementation
+   */
+  override protected def 
getMatchingPartitionPathsFromCatalog(relativePathPrefixes: List[String]): 
List[String] = {
+    // If listing from the catalog is disabled, or if MDT is available (which 
is faster), return null
+    if 
(!configProperties.getBoolean(FILE_INDEX_LIST_PARTITION_PATHS_FROM_HMS_ENABLED.key,
 FILE_INDEX_LIST_PARTITION_PATHS_FROM_HMS_ENABLED.defaultValue())
+        || metaClient.getTableConfig.isMetadataTableAvailable) {
+      null
+    } else {
+      // Retrieve all the partition paths from the catalog
+      logInfo("Listing partition paths from the catalog using path prefixes " 
+ relativePathPrefixes.toString)
+      val databaseName = metaClient.getTableConfig.getDatabaseName
+      val tableName = metaClient.getTableConfig.getTableName
+      val basePath = metaClient.getBasePath
+      val allPartitionPaths: Seq[String] = 
spark.sessionState.catalog.externalCatalog

Review Comment:
   Done. Refactored the branching logic to separate the case when 
relativePathPrefixes is empty (return all partitions) from the case when 
filtering is needed. Also renamed the variable to `filteredPartitionPaths` as 
suggested.



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