jadami10 commented on code in PR #10891:
URL: https://github.com/apache/pinot/pull/10891#discussion_r1503020298
##########
pinot-segment-local/src/main/java/org/apache/pinot/segment/local/segment/index/loader/columnminmaxvalue/ColumnMinMaxValueGenerator.java:
##########
@@ -119,65 +121,126 @@ private List<String> getColumnsToAddMinMaxValue() {
private boolean needAddColumnMinMaxValueForColumn(String columnName) {
ColumnMetadata columnMetadata =
_segmentMetadata.getColumnMetadataFor(columnName);
- return columnMetadata.hasDictionary() && columnMetadata.getMinValue() ==
null
+ return columnMetadata.getMinValue() == null
&& columnMetadata.getMaxValue() == null &&
!columnMetadata.isMinMaxValueInvalid();
}
private void addColumnMinMaxValueForColumn(String columnName)
throws Exception {
// Skip column without dictionary or with min/max value already set
ColumnMetadata columnMetadata =
_segmentMetadata.getColumnMetadataFor(columnName);
- if (!columnMetadata.hasDictionary() || columnMetadata.getMinValue() != null
- || columnMetadata.getMaxValue() != null) {
+ if (columnMetadata.getMinValue() != null || columnMetadata.getMaxValue()
!= null) {
return;
}
- PinotDataBuffer dictionaryBuffer = _segmentWriter.getIndexFor(columnName,
StandardIndexes.dictionary());
DataType dataType = columnMetadata.getDataType().getStoredType();
- int length = columnMetadata.getCardinality();
- switch (dataType) {
- case INT:
- try (IntDictionary intDictionary = new IntDictionary(dictionaryBuffer,
length)) {
-
SegmentColumnarIndexCreator.addColumnMinMaxValueInfo(_segmentProperties,
columnName,
- intDictionary.getStringValue(0),
intDictionary.getStringValue(length - 1));
- }
- break;
- case LONG:
- try (LongDictionary longDictionary = new
LongDictionary(dictionaryBuffer, length)) {
-
SegmentColumnarIndexCreator.addColumnMinMaxValueInfo(_segmentProperties,
columnName,
- longDictionary.getStringValue(0),
longDictionary.getStringValue(length - 1));
- }
- break;
- case FLOAT:
- try (FloatDictionary floatDictionary = new
FloatDictionary(dictionaryBuffer, length)) {
-
SegmentColumnarIndexCreator.addColumnMinMaxValueInfo(_segmentProperties,
columnName,
- floatDictionary.getStringValue(0),
floatDictionary.getStringValue(length - 1));
- }
- break;
- case DOUBLE:
- try (DoubleDictionary doubleDictionary = new
DoubleDictionary(dictionaryBuffer, length)) {
-
SegmentColumnarIndexCreator.addColumnMinMaxValueInfo(_segmentProperties,
columnName,
- doubleDictionary.getStringValue(0),
doubleDictionary.getStringValue(length - 1));
- }
- break;
- case STRING:
- try (StringDictionary stringDictionary = new
StringDictionary(dictionaryBuffer, length,
- columnMetadata.getColumnMaxLength())) {
-
SegmentColumnarIndexCreator.addColumnMinMaxValueInfo(_segmentProperties,
columnName,
- stringDictionary.getStringValue(0),
stringDictionary.getStringValue(length - 1));
- }
- break;
- case BYTES:
- try (BytesDictionary bytesDictionary = new
BytesDictionary(dictionaryBuffer, length,
- columnMetadata.getColumnMaxLength())) {
-
SegmentColumnarIndexCreator.addColumnMinMaxValueInfo(_segmentProperties,
columnName,
- bytesDictionary.getStringValue(0),
bytesDictionary.getStringValue(length - 1));
- }
- break;
- default:
- throw new IllegalStateException("Unsupported data type: " + dataType +
" for column: " + columnName);
+ if (columnMetadata.hasDictionary()) {
+ PinotDataBuffer dictionaryBuffer =
_segmentWriter.getIndexFor(columnName, StandardIndexes.dictionary());
+ int length = columnMetadata.getCardinality();
+ switch (dataType) {
+ case INT:
+ try (IntDictionary intDictionary = new
IntDictionary(dictionaryBuffer, length)) {
+
SegmentColumnarIndexCreator.addColumnMinMaxValueInfo(_segmentProperties,
columnName,
+ intDictionary.getStringValue(0),
intDictionary.getStringValue(length - 1));
+ }
+ break;
+ case LONG:
+ try (LongDictionary longDictionary = new
LongDictionary(dictionaryBuffer, length)) {
+
SegmentColumnarIndexCreator.addColumnMinMaxValueInfo(_segmentProperties,
columnName,
+ longDictionary.getStringValue(0),
longDictionary.getStringValue(length - 1));
+ }
+ break;
+ case FLOAT:
+ try (FloatDictionary floatDictionary = new
FloatDictionary(dictionaryBuffer, length)) {
+
SegmentColumnarIndexCreator.addColumnMinMaxValueInfo(_segmentProperties,
columnName,
+ floatDictionary.getStringValue(0),
floatDictionary.getStringValue(length - 1));
+ }
+ break;
+ case DOUBLE:
+ try (DoubleDictionary doubleDictionary = new
DoubleDictionary(dictionaryBuffer, length)) {
+
SegmentColumnarIndexCreator.addColumnMinMaxValueInfo(_segmentProperties,
columnName,
+ doubleDictionary.getStringValue(0),
doubleDictionary.getStringValue(length - 1));
+ }
+ break;
+ case STRING:
+ try (StringDictionary stringDictionary = new
StringDictionary(dictionaryBuffer, length,
+ columnMetadata.getColumnMaxLength())) {
+
SegmentColumnarIndexCreator.addColumnMinMaxValueInfo(_segmentProperties,
columnName,
+ stringDictionary.getStringValue(0),
stringDictionary.getStringValue(length - 1));
+ }
+ break;
+ case BYTES:
+ try (BytesDictionary bytesDictionary = new
BytesDictionary(dictionaryBuffer, length,
+ columnMetadata.getColumnMaxLength())) {
+
SegmentColumnarIndexCreator.addColumnMinMaxValueInfo(_segmentProperties,
columnName,
+ bytesDictionary.getStringValue(0),
bytesDictionary.getStringValue(length - 1));
+ }
+ break;
+ default:
+ throw new IllegalStateException("Unsupported data type: " + dataType
+ " for column: " + columnName);
+ }
+ } else if
(_segmentMetadata.getSchema().getFieldSpecFor(columnName).getFieldType() ==
FieldSpec.FieldType.METRIC) {
+ // setting min/max for non-dictionary columns.
+ PinotDataBuffer forwardBuffer = _segmentWriter.getIndexFor(columnName,
StandardIndexes.forward());
+ switch (dataType) {
+ case INT:
+ try (FixedByteChunkSVForwardIndexReader rawIndexReader = new
FixedByteChunkSVForwardIndexReader(forwardBuffer,
+ DataType.INT); ChunkReaderContext readerContext =
rawIndexReader.createContext()) {
+ Integer[] minMaxValue = {Integer.MAX_VALUE, Integer.MIN_VALUE};
+ for (int docs = 0; docs < columnMetadata.getTotalDocs(); docs++) {
+ minMaxValue = getMinMaxValue(minMaxValue,
rawIndexReader.getInt(docs, readerContext));
+ }
+
SegmentColumnarIndexCreator.addColumnMinMaxValueInfo(_segmentProperties,
columnName,
+ String.valueOf(minMaxValue[0]),
String.valueOf(minMaxValue[1]));
+ }
+ break;
+ case LONG:
+ try (FixedByteChunkSVForwardIndexReader rawIndexReader = new
FixedByteChunkSVForwardIndexReader(forwardBuffer,
+ DataType.LONG); ChunkReaderContext readerContext =
rawIndexReader.createContext()) {
+ Long[] minMaxValue = {Long.MAX_VALUE, Long.MIN_VALUE};
+ for (int docs = 0; docs < columnMetadata.getTotalDocs(); docs++) {
+ minMaxValue = getMinMaxValue(minMaxValue,
rawIndexReader.getLong(docs, readerContext));
+ }
+
SegmentColumnarIndexCreator.addColumnMinMaxValueInfo(_segmentProperties,
columnName,
+ String.valueOf(minMaxValue[0]),
String.valueOf(minMaxValue[1]));
+ }
+ break;
+ case FLOAT:
+ try (FixedByteChunkSVForwardIndexReader rawIndexReader = new
FixedByteChunkSVForwardIndexReader(forwardBuffer,
+ DataType.FLOAT); ChunkReaderContext readerContext =
rawIndexReader.createContext()) {
+ Float[] minMaxValue = {Float.MAX_VALUE, Float.MIN_VALUE};
+ for (int docs = 0; docs < columnMetadata.getTotalDocs(); docs++) {
+ minMaxValue = getMinMaxValue(minMaxValue,
rawIndexReader.getFloat(docs, readerContext));
+ }
+
SegmentColumnarIndexCreator.addColumnMinMaxValueInfo(_segmentProperties,
columnName,
+ String.valueOf(minMaxValue[0]),
String.valueOf(minMaxValue[1]));
+ }
+ break;
+ case DOUBLE:
+ try (FixedByteChunkSVForwardIndexReader rawIndexReader = new
FixedByteChunkSVForwardIndexReader(forwardBuffer,
+ DataType.DOUBLE); ChunkReaderContext readerContext =
rawIndexReader.createContext()) {
+ Double[] minMaxValue = {Double.MAX_VALUE, Double.MIN_VALUE};
+ for (int docs = 0; docs < columnMetadata.getTotalDocs(); docs++) {
+ minMaxValue = getMinMaxValue(minMaxValue,
rawIndexReader.getDouble(docs, readerContext));
+ }
+
SegmentColumnarIndexCreator.addColumnMinMaxValueInfo(_segmentProperties,
columnName,
+ String.valueOf(minMaxValue[0]),
String.valueOf(minMaxValue[1]));
+ }
+ break;
+ default:
Review Comment:
our attempted upgrade broke here because `BIG_DECIMAL` isn't supported. I'm
curious why we choose to throw an error for an unsupported data type when we
were seemingly ok with this data not being populated.
But more importantly, there's some wider issue here that we're missing
entire data types, and no testing is catching it.
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