Github user hvanhovell commented on a diff in the pull request:
https://github.com/apache/spark/pull/10723#discussion_r51020936
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/SparkQl.scala ---
@@ -42,6 +45,95 @@ private[sql] class SparkQl(conf: ParserConf =
SimpleParserConf()) extends Cataly
getClauses(Seq("TOK_QUERY", "FORMATTED", "EXTENDED"),
explainArgs)
ExplainCommand(nodeToPlan(query), extended = extended.isDefined)
+ case Token("TOK_REFRESHTABLE", nameParts :: Nil) =>
+ val tableIdent = extractTableIdent(nameParts)
+ RefreshTable(tableIdent)
+
+ case Token("TOK_CREATETABLEUSING", createTableArgs) =>
+ val Seq(
+ temp,
+ allowExisting,
+ Some(tabName),
+ tableCols,
+ Some(Token("TOK_TABLEPROVIDER", providerNameParts)),
+ tableOpts,
+ tableAs) = getClauses(Seq(
+ "TEMPORARY",
+ "TOK_IFNOTEXISTS",
+ "TOK_TABNAME", "TOK_TABCOLLIST",
+ "TOK_TABLEPROVIDER",
+ "TOK_TABLEOPTIONS",
+ "TOK_QUERY"), createTableArgs)
+
+ val tableIdent: TableIdentifier = tabName match {
+ case Token("TOK_TABNAME", Token(dbName, Nil) :: Token(tableName,
Nil) :: Nil) =>
+ new TableIdentifier(cleanIdentifier(tableName),
Some(cleanIdentifier(dbName)))
+ case Token("TOK_TABNAME", Token(tableName, Nil) :: Nil) =>
+ TableIdentifier(cleanIdentifier(tableName))
+ }
+
+ val columns = tableCols.map {
+ case Token("TOK_TABCOLLIST", fields) =>
StructType(fields.map(nodeToStructField))
+ }
+
+ val provider = providerNameParts.map {
+ case Token(name, Nil) => name
+ }.mkString(".")
+
+ val options = tableOpts.map { opts =>
--- End diff --
Nit: You could also turn the option into a sequence, flatMap over it, and
create the Map as a result:
val options = tableOpts.toSeq.flatMap { opts =>
val Token("TOK_TABLEOPTIONS", options) = opts
options.map {
case Token("TOK_TABLEOPTION", keysAndValue) =>
val key = keysAndValue.init.map.(_.text).mkString(".")
val value = unquoteString(keysAndValue.last.text)
key -> value
}
}.toMap
(note: code is not tested)
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