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Posted to commits@pinot.apache.org by GitBox <gi...@apache.org> on 2022/08/29 14:45:42 UTC
[GitHub] [pinot] walterddr commented on a diff in pull request #8927: Proper null handling in SELECT, ORDER BY, DISTINCT, and GROUP BY
walterddr commented on code in PR #8927:
URL: https://github.com/apache/pinot/pull/8927#discussion_r957435868
##########
pinot-core/src/main/java/org/apache/pinot/core/query/selection/SelectionOperatorUtils.java:
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@@ -227,16 +229,42 @@ public static void mergeWithOrdering(PriorityQueue<Object[]> mergedRows, Collect
*
* @param rows {@link Collection} of selection rows.
* @param dataSchema data schema.
+ * @param nullHandlingEnabled whether null handling is enabled.
* @return data table.
* @throws Exception
*/
- public static DataTable getDataTableFromRows(Collection<Object[]> rows, DataSchema dataSchema)
+ public static DataTable getDataTableFromRows(Collection<Object[]> rows, DataSchema dataSchema,
+ boolean nullHandlingEnabled)
throws Exception {
ColumnDataType[] storedColumnDataTypes = dataSchema.getStoredColumnDataTypes();
int numColumns = storedColumnDataTypes.length;
- DataTableBuilder dataTableBuilder = DataTableFactory.getDataTableBuilder(
- dataSchema);
+ DataTableBuilder dataTableBuilder = DataTableFactory.getDataTableBuilder(dataSchema);
+ RoaringBitmap[] nullBitmaps = null;
+ if (nullHandlingEnabled) {
+ nullBitmaps = new RoaringBitmap[numColumns];
+ Object[] colDefaultNullValues = new Object[numColumns];
+ for (int colId = 0; colId < numColumns; colId++) {
+ if (storedColumnDataTypes[colId] != ColumnDataType.OBJECT && !storedColumnDataTypes[colId].isArray()) {
+ colDefaultNullValues[colId] =
+ NullValueUtils.getDefaultNullValue(storedColumnDataTypes[colId].toDataType());
+ }
+ nullBitmaps[colId] = new RoaringBitmap();
+ }
+
+ int rowId = 0;
+ for (Object[] row : rows) {
+ for (int i = 0; i < numColumns; i++) {
+ Object columnValue = row[i];
+ if (columnValue == null) {
+ row[i] = colDefaultNullValues[i];
+ nullBitmaps[i].add(rowId);
+ }
+ }
+ rowId++;
Review Comment:
can we merge this part with the main loop below? any specific reason we had to loop through the rows one more time?
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