gortiz commented on code in PR #11453:
URL: https://github.com/apache/pinot/pull/11453#discussion_r1308277764
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pinot-common/src/main/java/org/apache/pinot/common/datablock/DataBlockUtils.java:
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@@ -275,43 +264,91 @@ private static Object[] extractRowFromDataBlock(DataBlock
dataBlock, int rowId,
* TODO: Add support for COLUMNAR format.
* @return int array of values in the column
*/
- public static int[] extractIntValuesForColumn(DataBlock dataBlock, int
columnIndex) {
+ public static int[] extractIntValuesForColumn(DataBlock dataBlock, int
colId) {
DataSchema dataSchema = dataBlock.getDataSchema();
- DataSchema.ColumnDataType[] columnDataTypes =
dataSchema.getColumnDataTypes();
-
- // Get null bitmap for the column.
- RoaringBitmap nullBitmap = extractNullBitmaps(dataBlock)[columnIndex];
+ ColumnDataType storedType =
dataSchema.getColumnDataType(colId).getStoredType();
+ RoaringBitmap nullBitmap = dataBlock.getNullRowIds(colId);
int numRows = dataBlock.getNumberOfRows();
-
- int[] rows = new int[numRows];
- for (int rowId = 0; rowId < numRows; rowId++) {
- if (nullBitmap != null && nullBitmap.contains(rowId)) {
- continue;
+ int[] values = new int[numRows];
+ if (nullBitmap == null) {
+ switch (storedType) {
+ case INT:
+ for (int rowId = 0; rowId < numRows; rowId++) {
+ values[rowId] = dataBlock.getInt(rowId, colId);
+ }
+ break;
+ case LONG:
+ for (int rowId = 0; rowId < numRows; rowId++) {
+ values[rowId] = (int) dataBlock.getLong(rowId, colId);
+ }
+ break;
+ case FLOAT:
+ for (int rowId = 0; rowId < numRows; rowId++) {
+ values[rowId] = (int) dataBlock.getFloat(rowId, colId);
+ }
+ break;
+ case DOUBLE:
+ for (int rowId = 0; rowId < numRows; rowId++) {
+ values[rowId] = (int) dataBlock.getDouble(rowId, colId);
+ }
+ break;
+ case BIG_DECIMAL:
+ for (int rowId = 0; rowId < numRows; rowId++) {
+ values[rowId] = dataBlock.getBigDecimal(rowId, colId).intValue();
+ }
+ break;
+ default:
+ throw new IllegalStateException(String.format("Cannot extract int
values for column: %s with stored type: %s",
+ dataSchema.getColumnName(colId), storedType));
}
-
- switch (columnDataTypes[columnIndex]) {
+ } else {
+ switch (storedType) {
case INT:
- case BOOLEAN:
- rows[rowId] = dataBlock.getInt(rowId, columnIndex);
+ for (int rowId = 0; rowId < numRows; rowId++) {
+ if (nullBitmap.contains(rowId)) {
+ continue;
+ }
+ values[rowId] = dataBlock.getInt(rowId, colId);
Review Comment:
nit: I know performance is not our priority but:
Depending on `numRows` it may be better to copy all values like in the not
nullable case and then do a second loop where we nullify the null specific
rows. Also, we can ask nullBitmap whether all values from `rowId` to `rowId +
numRows` are null. That should be a very fast operation in roaring bitmaps and
in case it happens, we can skip the whole loop.
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