Github user wzhfy commented on a diff in the pull request:
https://github.com/apache/spark/pull/15090#discussion_r78687294
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/SparkSqlParser.scala ---
@@ -98,8 +98,12 @@ class SparkSqlAstBuilder(conf: SQLConf) extends
AstBuilder {
ctx.identifier != null &&
ctx.identifier.getText.toLowerCase == "noscan") {
AnalyzeTableCommand(visitTableIdentifier(ctx.tableIdentifier).toString)
- } else {
+ } else if (ctx.identifierSeq() == null) {
--- End diff --
For analyze column command, users should know exactly what they want to do.
So they need to specify the columns, otherwise, we don't compute statistics for
columns. AFAIK, hive will generate all column stats for this case, but I think
we should not do that. At least, we could provide other command like FOR ALL
COLUMNS to do this.
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