Jackie-Jiang commented on a change in pull request #5667:
URL: https://github.com/apache/incubator-pinot/pull/5667#discussion_r451904412



##########
File path: 
pinot-core/src/main/java/org/apache/pinot/core/segment/creator/impl/SegmentColumnarIndexCreator.java
##########
@@ -379,6 +370,13 @@ public void indexRow(GenericRow row) {
           _nullValueVectorCreatorMap.get(columnName).setNull(docIdCounter);
         }
       }
+
+      // text-search enabled column

Review comment:
       Move this into the branch of single value column

##########
File path: 
pinot-core/src/main/java/org/apache/pinot/core/segment/creator/impl/SegmentColumnarIndexCreator.java
##########
@@ -199,16 +200,17 @@ public void init(SegmentGeneratorConfig 
segmentCreationSpec, SegmentIndexCreatio
         _forwardIndexCreatorMap.put(columnName,
             getRawIndexCreatorForColumn(_indexDir, compressionType, 
columnName, fieldSpec.getDataType(), totalDocs,
                 indexCreationInfo.getLengthOfLongestEntry(), 
deriveNumDocsPerChunk, writerVersion));
+      }
 
+      if (_textIndexColumns.contains(columnName)) {
         // Initialize text index creator
-        if (_textIndexColumns.contains(columnName)) {
-          _invertedIndexCreatorMap
-              .put(columnName, new LuceneTextIndexCreator(columnName, 
_indexDir, true /* commitOnClose */));
-        }
+        Preconditions.checkState(fieldSpec.isSingleValueField(),

Review comment:
       Also check that column is STRING type?

##########
File path: 
pinot-core/src/main/java/org/apache/pinot/core/segment/index/loader/defaultcolumn/V3DefaultColumnHandler.java
##########
@@ -67,10 +67,19 @@ protected void updateDefaultColumn(String column, 
DefaultColumnAction action, In
     Set<String> textIndexColumns = indexLoadingConfig.getTextIndexColumns();

Review comment:
       Since text column supports both raw & dictionary-encoded index, remove 
the branch for text column

##########
File path: 
pinot-core/src/main/java/org/apache/pinot/core/segment/index/loader/defaultcolumn/BaseDefaultColumnHandler.java
##########
@@ -325,77 +323,92 @@ protected void removeColumnV1Indices(String column)
   }
 
   /**
-   * Right now the text index is supported on RAW (non-dictionary encoded)
+   * Right now the text index is supported on RAW and dictionary encoded
    * single-value STRING columns. Eventually we will relax the constraints
    * step by step.
    * For example, later on user should be able to create text index on
-   * a dictionary encoded STRING column that also has native Pinot's inverted
-   * index. We can also support it on BYTE columns later.
+   * a MV column
    * @param column column name
    * @param indexLoadingConfig index loading config
    * @param fieldSpec field spec
    */
   private void checkUnsupportedOperationsForTextIndex(String column, 
IndexLoadingConfig indexLoadingConfig,
       FieldSpec fieldSpec) {
-    if (!indexLoadingConfig.getNoDictionaryColumns().contains(column)) {
-      throw new UnsupportedOperationException(
-          "Text index is currently not supported on dictionary encoded column: 
" + column);
-    }
-
-    Set<String> sortedColumns = new 
HashSet<>(indexLoadingConfig.getSortedColumns());
-    if (sortedColumns.contains(column)) {
-      // since Pinot's current implementation doesn't support raw sorted 
columns,
-      // we need to check for this too
-      throw new UnsupportedOperationException("Text index is currently not 
supported on sorted column: " + column);
-    }
-
     if (!fieldSpec.isSingleValueField()) {
       throw new UnsupportedOperationException("Text index is currently not 
supported on multi-value column: " + column);
     }
-
     if (fieldSpec.getDataType() != DataType.STRING) {
       throw new UnsupportedOperationException("Text index is currently only 
supported on STRING column:" + column);
     }
   }
 
   void createV1ForwardIndexForTextIndex(String column, IndexLoadingConfig 
indexLoadingConfig)

Review comment:
       I think you can just remove this method and always use the default one. 
We should always create dictionary-encoded index for default column because it 
is much more efficient.




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