ETL APIs for handling Time Series #366
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nhanitvn
changed the title
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| val manager = ddf.getManager.asInstanceOf[SparkDDFManager] | ||
| val res = manager.newDDFFromSparkDataFrame(newdf) | ||
| manager.addDDF(res) |
| this.mTimestampColumn = timestampColumn; | ||
| List<String> groupByCols = Lists.newArrayList(timestampColumn); | ||
| if (mTsIDColumn != null && !mTsIDColumn.isEmpty()) { | ||
| groupByCols.add(mTsIDColumn); |
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mTsIDColumn shouldn't be added here, this method should only downsample based on timestampColumn.
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downsampling should be for each mTsIDColumn
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Description and related tickets, documents
Implemented a set of basic ETL APIs for time series analysis including:
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Breaking changes & backward compatible issues
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