SourabhBadhya commented on code in PR #4748:
URL: https://github.com/apache/hive/pull/4748#discussion_r1350422534
##########
iceberg/iceberg-handler/src/main/java/org/apache/iceberg/mr/hive/HiveIcebergStorageHandler.java:
##########
@@ -1831,4 +1833,47 @@ public ColumnInfo
getColumnInfo(org.apache.hadoop.hive.ql.metadata.Table hmsTabl
throw new SemanticException(String.format("Unable to find a column with
the name: %s", colName));
}
}
+
+ @Override
+ public boolean supportsMetadataDelete() {
+ return true;
+ }
+
+ @Override
+ public boolean
canPerformMetadataDelete(org.apache.hadoop.hive.ql.metadata.Table hmsTable,
SearchArgument sarg) {
+ if (!supportsMetadataDelete()) {
+ return false;
+ }
+
+ Expression exp;
+ try {
+ exp = HiveIcebergFilterFactory.generateFilterExpression(sarg);
+ } catch (UnsupportedOperationException e) {
+ LOG.warn("Unable to create Iceberg filter," +
+ " continuing without metadata delete: ", e);
+ return false;
+ }
+ Table table = IcebergTableUtil.getTable(conf, hmsTable.getTTable());
+ FindFiles.Builder builder = new
FindFiles.Builder(table).withRecordsMatching(exp).includeColumnStats();
Review Comment:
Right now, I have changed the function to use same utils as what is used in
Spark. Best to implement what works already well in an engine like Spark.
##########
iceberg/iceberg-handler/src/main/java/org/apache/iceberg/mr/hive/HiveIcebergStorageHandler.java:
##########
@@ -1831,4 +1833,47 @@ public ColumnInfo
getColumnInfo(org.apache.hadoop.hive.ql.metadata.Table hmsTabl
throw new SemanticException(String.format("Unable to find a column with
the name: %s", colName));
}
}
+
+ @Override
+ public boolean supportsMetadataDelete() {
+ return true;
+ }
+
+ @Override
+ public boolean
canPerformMetadataDelete(org.apache.hadoop.hive.ql.metadata.Table hmsTable,
SearchArgument sarg) {
+ if (!supportsMetadataDelete()) {
+ return false;
+ }
+
+ Expression exp;
+ try {
+ exp = HiveIcebergFilterFactory.generateFilterExpression(sarg);
+ } catch (UnsupportedOperationException e) {
+ LOG.warn("Unable to create Iceberg filter," +
+ " continuing without metadata delete: ", e);
+ return false;
+ }
+ Table table = IcebergTableUtil.getTable(conf, hmsTable.getTTable());
+ FindFiles.Builder builder = new
FindFiles.Builder(table).withRecordsMatching(exp).includeColumnStats();
+ Set<DataFile> dataFiles = Sets.newHashSet(builder.collect());
+ boolean result = true;
+ for (DataFile dataFile : dataFiles) {
+ PartitionData partitionData = (PartitionData) dataFile.partition();
+ Expression residual = ResidualEvaluator.of(table.spec(), exp, false)
+ .residualFor(partitionData);
+ StrictMetricsEvaluator strictMetricsEvaluator = new
StrictMetricsEvaluator(table.schema(), residual);
+ if (!strictMetricsEvaluator.eval(dataFile)) {
+ result = false;
Review Comment:
Right now, I have changed the function to use same utils as what is used in
Spark. Best to implement what works already well in an engine like Spark.
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