szlta commented on a change in pull request #3242:
URL: https://github.com/apache/iceberg/pull/3242#discussion_r726084881



##########
File path: 
mr/src/main/java/org/apache/iceberg/mr/hive/HiveIcebergInputFormat.java
##########
@@ -100,23 +101,39 @@
                  .toArray(InputSplit[]::new);
   }
 
+  // Need for testing
+  protected void checkHive3Present() {
+    Preconditions.checkArgument(MetastoreUtil.hive3PresentOnClasspath(), 
"Vectorization only supported for Hive 3+");
+  }
+
+  protected RecordReader<Void, Container<Record>> 
getVectorizedRecordReader(IcebergSplit icebergSplit,
+                                                                            
JobConf job,
+                                                                            
Reporter reporter) {
+    return (RecordReader) HIVE_VECTORIZED_RECORDREADER_CTOR.newInstance(
+            new org.apache.iceberg.mr.mapreduce.IcebergInputFormat<>(),
+            icebergSplit,
+            job,
+            reporter);
+  }
+
   @Override
   public RecordReader<Void, Container<Record>> getRecordReader(InputSplit 
split, JobConf job,
                                                                Reporter 
reporter) throws IOException {
     String[] selectedColumns = ColumnProjectionUtils.getReadColumnNames(job);
     job.setStrings(InputFormatConfig.SELECTED_COLUMNS, selectedColumns);
-
-    if (HiveConf.getBoolVar(job, 
HiveConf.ConfVars.HIVE_VECTORIZATION_ENABLED)) {
-      Preconditions.checkArgument(MetastoreUtil.hive3PresentOnClasspath(), 
"Vectorization only supported for Hive 3+");
-
+    // Testing if vectorization was enabled and ok for hive
+    if (HiveConf.getBoolVar(job, HiveConf.ConfVars.HIVE_VECTORIZATION_ENABLED) 
&&
+            Utilities.getVectorizedRowBatchCtx(job) != null) {
+      checkHive3Present();
       IcebergSplit icebergSplit = ((IcebergSplitContainer) 
split).icebergSplit();
       // bogus cast for favouring code reuse over syntax
-      return (RecordReader) HIVE_VECTORIZED_RECORDREADER_CTOR.newInstance(
-              new org.apache.iceberg.mr.mapreduce.IcebergInputFormat<>(),
+      return getVectorizedRecordReader(
               icebergSplit,
               job,
               reporter);
     } else {
+      // Forcing IN_MEMORY_DATA_MODEL to generic in case that vectorization 
can not be performed by hive
+      job.setEnum(InputFormatConfig.IN_MEMORY_DATA_MODEL, 
InputFormatConfig.InMemoryDataModel.GENERIC);

Review comment:
       This is basically reverting what 
https://github.com/apache/iceberg/blob/master/mr/src/main/java/org/apache/iceberg/mr/hive/HiveIcebergStorageHandler.java#L131-L134
 does.
   I understand that this should be done rather here than in 
HiveIcebergStorageHandler as the Hive might fall back to non-vectorized mode 
after query compilation, but then let's try and do the InMemoryDataMode.HIVE 
setting here to.
   You could refactor this getRecordReader method here such as you construct a 
boolean isVectorized variable, and call an ensureInMemoryDataModel( boolean 
isVectorized) method instead.

##########
File path: 
mr/src/main/java/org/apache/iceberg/mr/hive/HiveIcebergInputFormat.java
##########
@@ -100,23 +101,39 @@
                  .toArray(InputSplit[]::new);
   }
 
+  // Need for testing
+  protected void checkHive3Present() {
+    Preconditions.checkArgument(MetastoreUtil.hive3PresentOnClasspath(), 
"Vectorization only supported for Hive 3+");
+  }
+
+  protected RecordReader<Void, Container<Record>> 
getVectorizedRecordReader(IcebergSplit icebergSplit,
+                                                                            
JobConf job,
+                                                                            
Reporter reporter) {
+    return (RecordReader) HIVE_VECTORIZED_RECORDREADER_CTOR.newInstance(
+            new org.apache.iceberg.mr.mapreduce.IcebergInputFormat<>(),
+            icebergSplit,
+            job,
+            reporter);
+  }
+
   @Override
   public RecordReader<Void, Container<Record>> getRecordReader(InputSplit 
split, JobConf job,
                                                                Reporter 
reporter) throws IOException {
     String[] selectedColumns = ColumnProjectionUtils.getReadColumnNames(job);
     job.setStrings(InputFormatConfig.SELECTED_COLUMNS, selectedColumns);
-
-    if (HiveConf.getBoolVar(job, 
HiveConf.ConfVars.HIVE_VECTORIZATION_ENABLED)) {
-      Preconditions.checkArgument(MetastoreUtil.hive3PresentOnClasspath(), 
"Vectorization only supported for Hive 3+");
-
+    // Testing if vectorization was enabled and ok for hive
+    if (HiveConf.getBoolVar(job, HiveConf.ConfVars.HIVE_VECTORIZATION_ENABLED) 
&&
+            Utilities.getVectorizedRowBatchCtx(job) != null) {
+      checkHive3Present();

Review comment:
       Can we perhaps call this once per class loading? i.e. call is in a 
static block and save the state of Hive3 being present into a static boolean 
variable perhaps as this won't change until JVM termination anyways.




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