ajantha-bhat commented on a change in pull request #3437: [CARBONDATA-3530]
Support Create timeseries MV Datamap with the supported granularity levels.
URL: https://github.com/apache/carbondata/pull/3437#discussion_r346139570
##########
File path:
datamap/mv/core/src/main/scala/org/apache/carbondata/mv/datamap/MVAnalyzerRule.scala
##########
@@ -82,9 +89,19 @@ class MVAnalyzerRule(sparkSession: SparkSession) extends
Rule[LogicalPlan] {
}
Aggregate(grp, aExp, child)
}
- val catalog =
DataMapStoreManager.getInstance().getDataMapCatalog(dataMapProvider,
- DataMapClassProvider.MV.getShortName).asInstanceOf[SummaryDatasetCatalog]
- if (needAnalysis && catalog != null && isValidPlan(plan, catalog)) {
+ val summaryDataSetCatalog: java.util.List[SummaryDatasetCatalog] = new util
+ .ArrayList[SummaryDatasetCatalog]()
+ dataMapProvider.asScala.foreach(dataMapProvider =>
+ summaryDataSetCatalog.add(
+ DataMapStoreManager.getInstance().getDataMapCatalog(dataMapProvider,
+
dataMapProvider.getDataMapSchema.getProviderName).asInstanceOf[SummaryDatasetCatalog]))
+ var catalog: SummaryDatasetCatalog = null
+ summaryDataSetCatalog.asScala.foreach { summaryDataSetCatalog =>
+ if (summaryDataSetCatalog != null && isValidPlan(plan,
summaryDataSetCatalog)) {
+ catalog = summaryDataSetCatalog
Review comment:
if more than one SummaryDatasetCatalog is valid plan from catalogList (like
mv and mv timeseries), here we are updating with the last one. please check
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