maropu commented on a change in pull request #28802:
URL: https://github.com/apache/spark/pull/28802#discussion_r439206847
##########
File path:
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/parser/TableIdentifierParserSuite.scala
##########
@@ -285,334 +290,86 @@ class TableIdentifierParserSuite extends SparkFunSuite
with SQLHelper {
"where",
"with")
- // All the keywords in `docs/sql-keywords.md` are listed below:
- val allCandidateKeywords = Set(
- "add",
- "after",
- "all",
- "alter",
- "analyze",
- "and",
- "anti",
- "any",
- "archive",
- "array",
- "as",
- "asc",
- "at",
- "authorization",
- "between",
- "both",
- "bucket",
- "buckets",
- "by",
- "cache",
- "cascade",
- "case",
- "cast",
- "change",
- "check",
- "clear",
- "cluster",
- "clustered",
- "codegen",
- "collate",
- "collection",
- "column",
- "columns",
- "comment",
- "commit",
- "compact",
- "compactions",
- "compute",
- "concatenate",
- "constraint",
- "cost",
- "create",
- "cross",
- "cube",
- "current",
- "current_date",
- "current_time",
- "current_timestamp",
- "current_user",
- "data",
- "database",
- "databases",
- "day",
- "dbproperties",
- "defined",
- "delete",
- "delimited",
- "desc",
- "describe",
- "dfs",
- "directories",
- "directory",
- "distinct",
- "distribute",
- "div",
- "drop",
- "else",
- "end",
- "escape",
- "escaped",
- "except",
- "exchange",
- "exists",
- "explain",
- "export",
- "extended",
- "external",
- "extract",
- "false",
- "fetch",
- "fields",
- "fileformat",
- "first",
- "following",
- "for",
- "foreign",
- "format",
- "formatted",
- "from",
- "full",
- "function",
- "functions",
- "global",
- "grant",
- "group",
- "grouping",
- "having",
- "hour",
- "if",
- "ignore",
- "import",
- "in",
- "index",
- "indexes",
- "inner",
- "inpath",
- "inputformat",
- "insert",
- "intersect",
- "interval",
- "into",
- "is",
- "items",
- "join",
- "keys",
- "last",
- "lateral",
- "lazy",
- "leading",
- "left",
- "like",
- "limit",
- "lines",
- "list",
- "load",
- "local",
- "location",
- "lock",
- "locks",
- "logical",
- "macro",
- "map",
- "minus",
- "minute",
- "month",
- "msck",
- "namespaces",
- "natural",
- "no",
- "not",
- "null",
- "nulls",
- "of",
- "on",
- "only",
- "option",
- "options",
- "or",
- "order",
- "out",
- "outer",
- "outputformat",
- "over",
- "overlaps",
- "overlay",
- "overwrite",
- "partition",
- "partitioned",
- "partitions",
- "percent",
- "pivot",
- "placing",
- "position",
- "preceding",
- "primary",
- "principals",
- "purge",
- "query",
- "range",
- "recordreader",
- "recordwriter",
- "recover",
- "reduce",
- "references",
- "refresh",
- "rename",
- "repair",
- "replace",
- "reset",
- "restrict",
- "revoke",
- "right",
- "rlike",
- "role",
- "roles",
- "rollback",
- "rollup",
- "row",
- "rows",
- "schema",
- "second",
- "select",
- "semi",
- "separated",
- "serde",
- "serdeproperties",
- "session_user",
- "set",
- "sets",
- "show",
- "skewed",
- "some",
- "sort",
- "sorted",
- "start",
- "statistics",
- "stored",
- "stratify",
- "struct",
- "substr",
- "substring",
- "table",
- "tables",
- "tablesample",
- "tblproperties",
- "temporary",
- "terminated",
- "then",
- "to",
- "touch",
- "trailing",
- "transaction",
- "transactions",
- "transform",
- "true",
- "truncate",
- "type",
- "unarchive",
- "unbounded",
- "uncache",
- "union",
- "unique",
- "unknown",
- "unlock",
- "unset",
- "use",
- "user",
- "using",
- "values",
- "view",
- "views",
- "when",
- "where",
- "window",
- "with",
- "year")
+ private val sqlSyntaxDefs = {
+ val sqlBasePath = {
+ val sparkHome = {
+ assert(sys.props.contains("spark.test.home") ||
+ sys.env.contains("SPARK_HOME"), "spark.test.home or SPARK_HOME is
not set.")
+ sys.props.getOrElse("spark.test.home", sys.env("SPARK_HOME"))
+ }
+ java.nio.file.Paths.get(sparkHome, "sql", "catalyst", "src", "main",
"antlr4", "org",
+ "apache", "spark", "sql", "catalyst", "parser", "SqlBase.g4").toFile
+ }
+ fileToString(sqlBasePath).split("\n")
+ }
- val reservedKeywordsInAnsiMode = Set(
- "all",
- "and",
- "anti",
- "any",
- "as",
- "authorization",
- "both",
- "case",
- "cast",
- "check",
- "collate",
- "column",
- "constraint",
- "create",
- "cross",
- "current_date",
- "current_time",
- "current_timestamp",
- "current_user",
- "day",
- "distinct",
- "else",
- "end",
- "escape",
- "except",
- "false",
- "fetch",
- "for",
- "foreign",
- "from",
- "full",
- "grant",
- "group",
- "having",
- "hour",
- "in",
- "inner",
- "intersect",
- "into",
- "join",
- "is",
- "leading",
- "left",
- "minute",
- "month",
- "natural",
- "not",
- "null",
- "on",
- "only",
- "or",
- "order",
- "outer",
- "overlaps",
- "primary",
- "references",
- "right",
- "select",
- "semi",
- "session_user",
- "minus",
- "second",
- "some",
- "table",
- "then",
- "to",
- "trailing",
- "union",
- "unique",
- "unknown",
- "user",
- "using",
- "when",
- "where",
- "with",
- "year")
+ private def parseAntlrGrammars(startTag: String, endTag: String)
+ (f: PartialFunction[String, Option[String]]): Set[String] = {
+ // We need to map a symbol string to actual literal strings
+ // in case that they have different strings.
+ val symbolsToNeedRemap = Map(
+ "DATABASES" -> Seq("DATABASES", "SCHEMAS"),
+ "RLIKE" -> Seq("RLIKE", "REGEXP"),
+ "SETMINUS" -> Seq("MINUS"),
+ "TEMPORARY" -> Seq("TEMPORARY", "TEMP")
+ )
+ val keywords = new mutable.ArrayBuffer[String]
+ val default = (_: String) => None
+ var startTagFound = false
+ var parseFinished = false
+ val lineIter = sqlSyntaxDefs.toIterator
+ while (!parseFinished && lineIter.hasNext) {
+ val line = lineIter.next()
+ if (line.trim.startsWith(startTag)) {
+ startTagFound = true
+ } else if (line.trim.startsWith(endTag)) {
+ parseFinished = true
+ } else if (startTagFound) {
+ f.applyOrElse(line, default).foreach { symbol =>
+ if (symbolsToNeedRemap.contains(symbol)) {
+ keywords ++= symbolsToNeedRemap(symbol)
+ } else {
+ keywords += symbol
+ }
+ }
+ }
+ }
+ assert(keywords.nonEmpty && startTagFound && parseFinished, "cannot
extract keywords from " +
+ s"the `SqlBase.g4` file, so please check if the start/end tags
(`$startTag` and `$endTag`) " +
+ "are placed correctly in the file.")
+ keywords.map(_.trim.toLowerCase(Locale.ROOT)).toSet
+ }
- val nonReservedKeywordsInAnsiMode = allCandidateKeywords --
reservedKeywordsInAnsiMode
+ private def parseSyntax(startTag: String, endTag: String): Set[String] = {
+ val kwDef = """\s*[\|:]\s*([A-Z_]+)\s*""".r
+ parseAntlrGrammars(startTag, endTag) {
+ // Parses a pattern, e.g., ` | AFTER`
+ case kwDef(symbol) => Some(symbol)
+ }
+ }
+
+ // All the SQL keywords defined in `SqlBase.g4`
+ val allCandidateKeywords = {
+ val kwDef = """([A-Z_]+):.+;""".r
+ val keywords = parseAntlrGrammars(
+ "//--SPARK-KEYWORD-LIST-START", "//--SPARK-KEYWORD-LIST-END") {
+ // Parses a pattern, e.g., `AFTER: 'AFTER';`
Review comment:
Two. As for the pattern, the current PR approach expands "KEYWORD" to
two keywords in
https://github.com/apache/spark/pull/28802/files#diff-7e16f8441ff7d93ab9a9cf8e23c3df4cR310-R315
```
val symbolsToNeedRemap = Map(
"DATABASES" -> Seq("DATABASES", "SCHEMAS"),
"RLIKE" -> Seq("RLIKE", "REGEXP"),
"SETMINUS" -> Seq("MINUS"),
"TEMPORARY" -> Seq("TEMPORARY", "TEMP"),
"KEYWORD" -> Seq("ABC", "XYZ") <-- we need to expand it like this
)
```
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