jcamachor commented on a change in pull request #787: HIVE-22239
URL: https://github.com/apache/hive/pull/787#discussion_r332979645
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File path: ql/src/java/org/apache/hadoop/hive/ql/stats/StatsUtils.java
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@@ -856,8 +856,15 @@ public static ColStatistics
getColStatistics(ColumnStatisticsObj cso, String tab
} else if (colTypeLowerCase.equals(serdeConstants.BINARY_TYPE_NAME)) {
cs.setAvgColLen(csd.getBinaryStats().getAvgColLen());
cs.setNumNulls(csd.getBinaryStats().getNumNulls());
- } else if (colTypeLowerCase.equals(serdeConstants.TIMESTAMP_TYPE_NAME) ||
- colTypeLowerCase.equals(serdeConstants.TIMESTAMPLOCALTZ_TYPE_NAME)) {
+ } else if (colTypeLowerCase.equals(serdeConstants.TIMESTAMP_TYPE_NAME)) {
+ cs.setAvgColLen(JavaDataModel.get().lengthOfTimestamp());
+ cs.setNumNulls(csd.getTimestampStats().getNumNulls());
+ Long lowVal = (csd.getTimestampStats().getLowValue() != null) ?
csd.getTimestampStats().getLowValue()
+ .getSecondsSinceEpoch() : null;
+ Long highVal = (csd.getTimestampStats().getHighValue() != null) ?
csd.getTimestampStats().getHighValue()
+ .getSecondsSinceEpoch() : null;
+ cs.setRange(lowVal, highVal);
Review comment:
Yeah, I did not want to change the information that we store for timestamp
type, note that this patch only changes the way we read the data. I agree we
could use finer granularity for different types.
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