com.netease.arctic.spark.sql.parser.ArcticExtendSparkSqlAstBuilder.scala Maven / Gradle / Ivy
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.spark.sql.arctic.parser
import com.netease.arctic.spark.sql.parser.ArcticExtendSparkSqlParser._
import com.netease.arctic.spark.sql.parser.{ArcticExtendSparkSqlBaseVisitor, ArcticExtendSparkSqlParser}
import org.antlr.v4.runtime.tree.{ParseTree, RuleNode, TerminalNode}
import org.antlr.v4.runtime.{ParserRuleContext, Token}
import org.apache.spark.internal.Logging
import org.apache.spark.sql.AnalysisException
import org.apache.spark.sql.catalyst.analysis.{GlobalTempView, LocalTempView, MultiAlias, PersistedView, UnresolvedAlias, UnresolvedAttribute, UnresolvedExtractValue, UnresolvedFunc, UnresolvedFunction, UnresolvedGenerator, UnresolvedHaving, UnresolvedInlineTable, UnresolvedNamespace, UnresolvedPartitionSpec, UnresolvedRegex, UnresolvedRelation, UnresolvedStar, UnresolvedSubqueryColumnAliases, UnresolvedTable, UnresolvedTableOrView, UnresolvedTableValuedFunction}
import org.apache.spark.sql.catalyst.catalog.{BucketSpec, CatalogStorageFormat, FunctionResource, FunctionResourceType}
import org.apache.spark.sql.catalyst.expressions.aggregate.{First, Last}
import org.apache.spark.sql.catalyst.expressions.{Add, Alias, And, Ascending, AttributeReference, BitwiseAnd, BitwiseNot, BitwiseOr, BitwiseXor, CaseWhen, Cast, Concat, CreateNamedStruct, CreateStruct, Cube, CurrentRow, Descending, Divide, EmptyRow, EqualNullSafe, EqualTo, Exists, Expression, GreaterThan, GreaterThanOrEqual, In, InSubquery, IntegralDivide, IsNotNull, IsNotUnknown, IsNull, IsUnknown, LambdaFunction, LessThan, LessThanOrEqual, Like, LikeAll, LikeAny, ListQuery, Literal, Multiply, NamedExpression, Not, NotLikeAll, NotLikeAny, NullsFirst, NullsLast, Or, Overlay, Predicate, RLike, RangeFrame, Remainder, Rollup, RowFrame, ScalarSubquery, SortOrder, SpecifiedWindowFrame, StringLocate, StringTrim, StringTrimLeft, StringTrimRight, Substring, Subtract, UnaryMinus, UnaryPositive, UnboundedFollowing, UnboundedPreceding, UnresolvedNamedLambdaVariable, UnresolvedWindowExpression, UnspecifiedFrame, WindowExpression, WindowSpec, WindowSpecDefinition, WindowSpecReference}
import org.apache.spark.sql.catalyst.parser.{ParseException, ParserInterface}
import org.apache.spark.sql.catalyst.plans._
import org.apache.spark.sql.catalyst.plans.logical._
import org.apache.spark.sql.catalyst.util.DateTimeUtils.{getZoneId, stringToDate, stringToTimestamp}
import org.apache.spark.sql.catalyst.util.IntervalUtils.IntervalUnit
import org.apache.spark.sql.catalyst.util.{CharVarcharUtils, IntervalUtils}
import org.apache.spark.sql.catalyst.{FunctionIdentifier, SQLConfHelper, TableIdentifier}
import org.apache.spark.sql.connector.catalog.TableChange.ColumnPosition
import org.apache.spark.sql.connector.catalog.{SupportsNamespaces, TableCatalog}
import org.apache.spark.sql.connector.expressions.{ApplyTransform, BucketTransform, DaysTransform, FieldReference, HoursTransform, IdentityTransform, LiteralValue, MonthsTransform, Transform, YearsTransform, Expression => V2Expression}
import org.apache.spark.sql.internal.SQLConf
import org.apache.spark.sql.types._
import org.apache.spark.unsafe.types.{CalendarInterval, UTF8String}
import org.apache.spark.util.random.RandomSampler
import java.util
import java.util.Locale
import javax.xml.bind.DatatypeConverter
import scala.collection.JavaConverters._
import scala.collection.mutable.ArrayBuffer
class ArcticExtendSparkSqlAstBuilder(delegate: ParserInterface)
extends ArcticExtendSparkSqlBaseVisitor[AnyRef] with SQLConfHelper with Logging{
import org.apache.spark.sql.catalyst.parser.ParserUtils._
def setPrimaryKeyNotNull(columns: Seq[StructField], primary: Seq[String]): Seq[StructField] = {
columns.map(c =>
if (primary.contains(c.name)) {
StructField(
name = c.name,
dataType = c.dataType,
nullable = false,
metadata = c.metadata)
} else {
c
}
)
}
type colListAndPk = (Seq[StructField], Seq[String])
private def visitColListAndPk(ctx: ArcticExtendSparkSqlParser.ColListAndPkContext): colListAndPk = {
ctx match {
case colWithPk: ColListWithPkContext =>
(visitColTypeList(colWithPk.colTypeList()), visitPrimarySpec(colWithPk.primarySpec()))
case colOnlyPk: ColListOnlyPkContext =>
(Nil, visitPrimarySpec(colOnlyPk.primarySpec()))
case _ =>
throw new ParseException("Invalid InsertIntoContext", ctx)
}
}
override def visitCreateTableWithPk(ctx: ArcticExtendSparkSqlParser.CreateTableWithPkContext): LogicalPlan = withOrigin(ctx) {
visitCreateTableWithPrimaryKey(ctx.createTableWithPrimaryKey())
}
override def visitCreateTableWithPrimaryKey(ctx: ArcticExtendSparkSqlParser.CreateTableWithPrimaryKeyContext): LogicalPlan = withOrigin(ctx) {
val (table, temp, ifNotExists, external) = visitCreateTableHeader(ctx.createTableHeader)
val colListAndPk = visitColListAndPk(ctx.colListAndPk())
val columns = Option(colListAndPk._1).getOrElse(Nil)
val provider = Option(ctx.tableProvider).map(_.multipartIdentifier.getText)
val (partTransforms, partCols, bucketSpec, properties, options, location, comment, serdeInfo) = {
visitCreateTableClauses(ctx.createTableClauses())
}
var primaryForCtas: Seq[String] = Seq.empty
if (columns.isEmpty) {
primaryForCtas = colListAndPk._2
}
if (provider.isDefined && serdeInfo.isDefined) {
operationNotAllowed(s"CREATE TABLE ... USING ... ${serdeInfo.get.describe}", ctx)
}
if (temp) {
val asSelect = if (ctx.query == null) "" else " AS ..."
operationNotAllowed(
s"CREATE TEMPORARY TABLE ...$asSelect, use CREATE TEMPORARY VIEW instead", ctx)
}
val partitioning = partitionExpressions(partTransforms, partCols, ctx)
Option(ctx.query).map(plan) match {
case Some(_) if columns.nonEmpty =>
operationNotAllowed(
"Schema may not be specified in a Create Table As Select (CTAS) statement",
ctx)
case Some(_) if partCols.nonEmpty =>
// non-reference partition columns are not allowed because schema can't be specified
operationNotAllowed(
"Partition column types may not be specified in Create Table As Select (CTAS)",
ctx)
case Some(query) =>
val propertiesMap = buildProperties(primaryForCtas, properties)
var writeOptions: Map[String, String] = Map.empty
CreateTableAsSelectStatement(
table, query, partitioning, bucketSpec, propertiesMap, provider, options, location, comment,
writeOptions, serdeInfo, external = external, ifNotExists = ifNotExists)
case _ =>
// Note: table schema includes both the table columns list and the partition columns
// with data type.
if (primaryForCtas.nonEmpty) {
operationNotAllowed(
"Primary keys do not allow this input format in a Create Table",
ctx)
}
val primary = colListAndPk._2
// Setting the primary key not nullable
val newColumns = setPrimaryKeyNotNull(columns, primary)
val schema = StructType(newColumns ++ partCols)
val propertiesMap = buildProperties(primary, properties)
CreateTableStatement(table, schema, partitioning, bucketSpec, propertiesMap, provider,
options, location, comment, serdeInfo, external = external, ifNotExists = ifNotExists)
}
}
/**
* Build a properties with primary key.
*/
private def buildProperties(primary: Seq[String], properties: Map[String, String]) = {
var propertiesMap: Map[String, String] = properties
propertiesMap += ("provider" -> "arctic")
val primaryMap = seqAsJavaList(primary)
if (primaryMap != null) {
propertiesMap += ("primary.keys" -> String.join(",", primaryMap))
}
propertiesMap
}
type TableClauses = (
Seq[Transform], Seq[StructField], Option[BucketSpec], Map[String, String],
Map[String, String], Option[String], Option[String], Option[SerdeInfo])
protected def visitPrimarySpecList(ctx: util.List[ArcticExtendSparkSqlParser.PrimarySpecContext]): Option[Seq[String]] = {
ctx.asScala.headOption.map(visitPrimarySpec)
}
/**
* Create a comment string.
*/
override def visitPrimarySpec(ctx: ArcticExtendSparkSqlParser.PrimarySpecContext): Seq[String] = withOrigin(ctx) {
visitIdentifierList(ctx.identifierList())
}
override def visitCreateTableClauses(ctx: ArcticExtendSparkSqlParser.CreateTableClausesContext): TableClauses = {
checkDuplicateClauses(ctx.TBLPROPERTIES, "TBLPROPERTIES", ctx)
checkDuplicateClauses(ctx.OPTIONS, "OPTIONS", ctx)
checkDuplicateClauses(ctx.PARTITIONED, "PARTITIONED BY", ctx)
checkDuplicateClauses(ctx.createFileFormat, "STORED AS/BY", ctx)
checkDuplicateClauses(ctx.rowFormat, "ROW FORMAT", ctx)
checkDuplicateClauses(ctx.commentSpec(), "COMMENT", ctx)
checkDuplicateClauses(ctx.bucketSpec(), "CLUSTERED BY", ctx)
checkDuplicateClauses(ctx.locationSpec, "LOCATION", ctx)
if (ctx.skewSpec.size > 0) {
operationNotAllowed("CREATE TABLE ... SKEWED BY", ctx)
}
val (partTransforms, partCols) =
Option(ctx.partitioning).map(visitPartitionFieldList).getOrElse((Nil, Nil))
val bucketSpec = ctx.bucketSpec().asScala.headOption.map(visitBucketSpec)
val properties = Option(ctx.tableProps).map(visitPropertyKeyValues).getOrElse(Map.empty)
val cleanedProperties = cleanTableProperties(ctx, properties)
val options = Option(ctx.options).map(visitPropertyKeyValues).getOrElse(Map.empty)
val location = visitLocationSpecList(ctx.locationSpec())
val (cleanedOptions, newLocation) = cleanTableOptions(ctx, options, location)
val comment = visitCommentSpecList(ctx.commentSpec())
val serdeInfo =
getSerdeInfo(ctx.rowFormat.asScala.toSeq, ctx.createFileFormat.asScala.toSeq, ctx)
(partTransforms, partCols, bucketSpec, cleanedProperties, cleanedOptions, newLocation, comment,
serdeInfo)
}
protected def typedVisit[T](ctx: ParseTree): T = {
ctx.accept(this).asInstanceOf[T]
}
/**
* Override the default behavior for all visit methods. This will only return a non-null result
* when the context has only one child. This is done because there is no generic method to
* combine the results of the context children. In all other cases null is returned.
*/
override def visitChildren(node: RuleNode): AnyRef = {
if (node.getChildCount == 1) {
node.getChild(0).accept(this)
} else {
null
}
}
override def visitSingleStatement(ctx: SingleStatementContext): LogicalPlan = withOrigin(ctx) {
visit(ctx.statement).asInstanceOf[LogicalPlan]
}
override def visitArcticCommand(ctx: ArcticCommandContext): LogicalPlan = withOrigin(ctx) {
visit(ctx.arcticStatement).asInstanceOf[LogicalPlan]
}
override def visitSingleExpression(ctx: SingleExpressionContext): Expression = withOrigin(ctx) {
visitNamedExpression(ctx.namedExpression)
}
override def visitSingleTableIdentifier(
ctx: SingleTableIdentifierContext): TableIdentifier = withOrigin(ctx) {
visitTableIdentifier(ctx.tableIdentifier)
}
override def visitSingleFunctionIdentifier(
ctx: SingleFunctionIdentifierContext): FunctionIdentifier = withOrigin(ctx) {
visitFunctionIdentifier(ctx.functionIdentifier)
}
override def visitSingleMultipartIdentifier(
ctx: SingleMultipartIdentifierContext): Seq[String] = withOrigin(ctx) {
visitMultipartIdentifier(ctx.multipartIdentifier)
}
override def visitSingleDataType(ctx: SingleDataTypeContext): DataType = withOrigin(ctx) {
typedVisit[DataType](ctx.dataType)
}
override def visitSingleTableSchema(ctx: SingleTableSchemaContext): StructType = {
val schema = StructType(visitColTypeList(ctx.colTypeList))
withOrigin(ctx)(schema)
}
/* ********************************************************************************************
* Plan parsing
* ******************************************************************************************** */
protected def plan(tree: ParserRuleContext): LogicalPlan = typedVisit(tree)
/**
* Create a top-level plan with Common Table Expressions.
*/
override def visitQuery(ctx: QueryContext): LogicalPlan = withOrigin(ctx) {
val query = plan(ctx.queryTerm).optionalMap(ctx.queryOrganization)(withQueryResultClauses)
// Apply CTEs
query.optionalMap(ctx.ctes)(withCTE)
}
override def visitDmlStatement(ctx: DmlStatementContext): AnyRef = withOrigin(ctx) {
val dmlStmt = plan(ctx.dmlStatementNoWith)
// Apply CTEs
dmlStmt.optionalMap(ctx.ctes)(withCTE)
}
private def withCTE(ctx: CtesContext, plan: LogicalPlan): LogicalPlan = {
val ctes = ctx.namedQuery.asScala.map { nCtx =>
val namedQuery = visitNamedQuery(nCtx)
(namedQuery.alias, namedQuery)
}
// Check for duplicate names.
val duplicates = ctes.groupBy(_._1).filter(_._2.size > 1).keys
if (duplicates.nonEmpty) {
throw new ParseException(
s"CTE definition can't have duplicate names: ${duplicates.mkString("'", "', '", "'")}.",
ctx)
}
With(plan, ctes.toSeq)
}
/**
* Create a logical query plan for a hive-style FROM statement body.
*/
private def withFromStatementBody(
ctx: FromStatementBodyContext, plan: LogicalPlan): LogicalPlan = withOrigin(ctx) {
// two cases for transforms and selects
if (ctx.transformClause != null) {
withTransformQuerySpecification(
ctx,
ctx.transformClause,
ctx.whereClause,
plan
)
} else {
withSelectQuerySpecification(
ctx,
ctx.selectClause,
ctx.lateralView,
ctx.whereClause,
ctx.aggregationClause,
ctx.havingClause,
ctx.windowClause,
plan
)
}
}
override def visitFromStatement(ctx: FromStatementContext): LogicalPlan = withOrigin(ctx) {
val from = visitFromClause(ctx.fromClause)
val selects = ctx.fromStatementBody.asScala.map { body =>
withFromStatementBody(body, from).
// Add organization statements.
optionalMap(body.queryOrganization)(withQueryResultClauses)
}
// If there are multiple SELECT just UNION them together into one query.
if (selects.length == 1) {
selects.head
} else {
Union(selects.toSeq)
}
}
/**
* Create a named logical plan.
*
* This is only used for Common Table Expressions.
*/
override def visitNamedQuery(ctx: NamedQueryContext): SubqueryAlias = withOrigin(ctx) {
val subQuery: LogicalPlan = plan(ctx.query).optionalMap(ctx.columnAliases)(
(columnAliases, plan) =>
UnresolvedSubqueryColumnAliases(visitIdentifierList(columnAliases), plan)
)
SubqueryAlias(ctx.name.getText, subQuery)
}
/**
* Create a logical plan which allows for multiple inserts using one 'from' statement. These
* queries have the following SQL form:
* {{{
* [WITH cte...]?
* FROM src
* [INSERT INTO tbl1 SELECT *]+
* }}}
* For example:
* {{{
* FROM db.tbl1 A
* INSERT INTO dbo.tbl1 SELECT * WHERE A.value = 10 LIMIT 5
* INSERT INTO dbo.tbl2 SELECT * WHERE A.value = 12
* }}}
* This (Hive) feature cannot be combined with set-operators.
*/
override def visitMultiInsertQuery(ctx: MultiInsertQueryContext): LogicalPlan = withOrigin(ctx) {
val from = visitFromClause(ctx.fromClause)
// Build the insert clauses.
val inserts = ctx.multiInsertQueryBody.asScala.map { body =>
withInsertInto(body.insertInto,
withFromStatementBody(body.fromStatementBody, from).
optionalMap(body.fromStatementBody.queryOrganization)(withQueryResultClauses))
}
// If there are multiple INSERTS just UNION them together into one query.
if (inserts.length == 1) {
inserts.head
} else {
Union(inserts.toSeq)
}
}
/**
* Create a logical plan for a regular (single-insert) query.
*/
override def visitSingleInsertQuery(
ctx: SingleInsertQueryContext): LogicalPlan = withOrigin(ctx) {
withInsertInto(
ctx.insertInto(),
plan(ctx.queryTerm).optionalMap(ctx.queryOrganization)(withQueryResultClauses))
}
/**
* Parameters used for writing query to a table:
* (multipartIdentifier, tableColumnList, partitionKeys, ifPartitionNotExists).
*/
type InsertTableParams = (Seq[String], Seq[String], Map[String, Option[String]], Boolean)
/**
* Parameters used for writing query to a directory: (isLocal, CatalogStorageFormat, provider).
*/
type InsertDirParams = (Boolean, CatalogStorageFormat, Option[String])
/**
* Add an
* {{{
* INSERT OVERWRITE TABLE tableIdentifier [partitionSpec [IF NOT EXISTS]]? [identifierList]
* INSERT INTO [TABLE] tableIdentifier [partitionSpec] [identifierList]
* INSERT OVERWRITE [LOCAL] DIRECTORY STRING [rowFormat] [createFileFormat]
* INSERT OVERWRITE [LOCAL] DIRECTORY [STRING] tableProvider [OPTIONS tablePropertyList]
* }}}
* operation to logical plan
*/
private def withInsertInto(
ctx: InsertIntoContext,
query: LogicalPlan): LogicalPlan = withOrigin(ctx) {
ctx match {
case table: InsertIntoTableContext =>
val (tableIdent, cols, partition, ifPartitionNotExists) = visitInsertIntoTable(table)
InsertIntoStatement(
UnresolvedRelation(tableIdent),
partition,
cols,
query,
overwrite = false,
ifPartitionNotExists)
case table: InsertOverwriteTableContext =>
val (tableIdent, cols, partition, ifPartitionNotExists) = visitInsertOverwriteTable(table)
InsertIntoStatement(
UnresolvedRelation(tableIdent),
partition,
cols,
query,
overwrite = true,
ifPartitionNotExists)
case dir: InsertOverwriteDirContext =>
val (isLocal, storage, provider) = visitInsertOverwriteDir(dir)
InsertIntoDir(isLocal, storage, provider, query, overwrite = true)
case hiveDir: InsertOverwriteHiveDirContext =>
val (isLocal, storage, provider) = visitInsertOverwriteHiveDir(hiveDir)
InsertIntoDir(isLocal, storage, provider, query, overwrite = true)
case _ =>
throw new ParseException("Invalid InsertIntoContext", ctx)
}
}
/**
* Add an INSERT INTO TABLE operation to the logical plan.
*/
override def visitInsertIntoTable(
ctx: InsertIntoTableContext): InsertTableParams = withOrigin(ctx) {
val tableIdent = visitMultipartIdentifier(ctx.multipartIdentifier)
val cols = Option(ctx.identifierList()).map(visitIdentifierList).getOrElse(Nil)
val partitionKeys = Option(ctx.partitionSpec).map(visitPartitionSpec).getOrElse(Map.empty)
if (ctx.EXISTS != null) {
operationNotAllowed("INSERT INTO ... IF NOT EXISTS", ctx)
}
(tableIdent, cols, partitionKeys, false)
}
/**
* Add an INSERT OVERWRITE TABLE operation to the logical plan.
*/
override def visitInsertOverwriteTable(
ctx: InsertOverwriteTableContext): InsertTableParams = withOrigin(ctx) {
assert(ctx.OVERWRITE() != null)
val tableIdent = visitMultipartIdentifier(ctx.multipartIdentifier)
val cols = Option(ctx.identifierList()).map(visitIdentifierList).getOrElse(Nil)
val partitionKeys = Option(ctx.partitionSpec).map(visitPartitionSpec).getOrElse(Map.empty)
val dynamicPartitionKeys: Map[String, Option[String]] = partitionKeys.filter(_._2.isEmpty)
if (ctx.EXISTS != null && dynamicPartitionKeys.nonEmpty) {
operationNotAllowed("IF NOT EXISTS with dynamic partitions: " +
dynamicPartitionKeys.keys.mkString(", "), ctx)
}
(tableIdent, cols, partitionKeys, ctx.EXISTS() != null)
}
/**
* Write to a directory, returning a [[InsertIntoDir]] logical plan.
*/
override def visitInsertOverwriteDir(
ctx: InsertOverwriteDirContext): InsertDirParams = withOrigin(ctx) {
throw new ParseException("INSERT OVERWRITE DIRECTORY is not supported", ctx)
}
/**
* Write to a directory, returning a [[InsertIntoDir]] logical plan.
*/
override def visitInsertOverwriteHiveDir(
ctx: InsertOverwriteHiveDirContext): InsertDirParams = withOrigin(ctx) {
throw new ParseException("INSERT OVERWRITE DIRECTORY is not supported", ctx)
}
private def getTableAliasWithoutColumnAlias(
ctx: TableAliasContext, op: String): Option[String] = {
if (ctx == null) {
None
} else {
val ident = ctx.strictIdentifier()
if (ctx.identifierList() != null) {
throw new ParseException(s"Columns aliases are not allowed in $op.", ctx.identifierList())
}
if (ident != null) Some(ident.getText) else None
}
}
override def visitDeleteFromTable(
ctx: DeleteFromTableContext): LogicalPlan = withOrigin(ctx) {
val table = UnresolvedRelation(visitMultipartIdentifier(ctx.multipartIdentifier()))
val tableAlias = getTableAliasWithoutColumnAlias(ctx.tableAlias(), "DELETE")
val aliasedTable = tableAlias.map(SubqueryAlias(_, table)).getOrElse(table)
val predicate = if (ctx.whereClause() != null) {
Some(expression(ctx.whereClause().booleanExpression()))
} else {
None
}
DeleteFromTable(aliasedTable, predicate)
}
override def visitUpdateTable(ctx: UpdateTableContext): LogicalPlan = withOrigin(ctx) {
val table = UnresolvedRelation(visitMultipartIdentifier(ctx.multipartIdentifier()))
val tableAlias = getTableAliasWithoutColumnAlias(ctx.tableAlias(), "UPDATE")
val aliasedTable = tableAlias.map(SubqueryAlias(_, table)).getOrElse(table)
val assignments = withAssignments(ctx.setClause().assignmentList())
val predicate = if (ctx.whereClause() != null) {
Some(expression(ctx.whereClause().booleanExpression()))
} else {
None
}
UpdateTable(aliasedTable, assignments, predicate)
}
private def withAssignments(assignCtx: ArcticExtendSparkSqlParser.AssignmentListContext): Seq[Assignment] =
withOrigin(assignCtx) {
assignCtx.assignment().asScala.map { assign =>
Assignment(UnresolvedAttribute(visitMultipartIdentifier(assign.key)),
expression(assign.value))
}.toSeq
}
override def visitMergeIntoTable(ctx: MergeIntoTableContext): LogicalPlan = withOrigin(ctx) {
val targetTable = UnresolvedRelation(visitMultipartIdentifier(ctx.target))
val targetTableAlias = getTableAliasWithoutColumnAlias(ctx.targetAlias, "MERGE")
val aliasedTarget = targetTableAlias.map(SubqueryAlias(_, targetTable)).getOrElse(targetTable)
val sourceTableOrQuery = if (ctx.source != null) {
UnresolvedRelation(visitMultipartIdentifier(ctx.source))
} else if (ctx.sourceQuery != null) {
visitQuery(ctx.sourceQuery)
} else {
throw new ParseException("Empty source for merge: you should specify a source" +
" table/subquery in merge.", ctx.source)
}
val sourceTableAlias = getTableAliasWithoutColumnAlias(ctx.sourceAlias, "MERGE")
val aliasedSource =
sourceTableAlias.map(SubqueryAlias(_, sourceTableOrQuery)).getOrElse(sourceTableOrQuery)
val mergeCondition = expression(ctx.mergeCondition)
val matchedActions = ctx.matchedClause().asScala.map {
clause => {
if (clause.matchedAction().DELETE() != null) {
DeleteAction(Option(clause.matchedCond).map(expression))
} else if (clause.matchedAction().UPDATE() != null) {
val condition = Option(clause.matchedCond).map(expression)
if (clause.matchedAction().ASTERISK() != null) {
UpdateAction(condition, Seq())
} else {
UpdateAction(condition, withAssignments(clause.matchedAction().assignmentList()))
}
} else {
// It should not be here.
throw new ParseException(
s"Unrecognized matched action: ${clause.matchedAction().getText}",
clause.matchedAction())
}
}
}
val notMatchedActions = ctx.notMatchedClause().asScala.map {
clause => {
if (clause.notMatchedAction().INSERT() != null) {
val condition = Option(clause.notMatchedCond).map(expression)
if (clause.notMatchedAction().ASTERISK() != null) {
InsertAction(condition, Seq())
} else {
val columns = clause.notMatchedAction().columns.multipartIdentifier()
.asScala.map(attr => UnresolvedAttribute(visitMultipartIdentifier(attr)))
val values = clause.notMatchedAction().expression().asScala.map(expression)
if (columns.size != values.size) {
throw new ParseException("The number of inserted values cannot match the fields.",
clause.notMatchedAction())
}
InsertAction(condition, columns.zip(values).map(kv => Assignment(kv._1, kv._2)).toSeq)
}
} else {
// It should not be here.
throw new ParseException(
s"Unrecognized not matched action: ${clause.notMatchedAction().getText}",
clause.notMatchedAction())
}
}
}
if (matchedActions.isEmpty && notMatchedActions.isEmpty) {
throw new ParseException("There must be at least one WHEN clause in a MERGE statement", ctx)
}
// children being empty means that the condition is not set
val matchedActionSize = matchedActions.length
if (matchedActionSize >= 2 && !matchedActions.init.forall(_.condition.nonEmpty)) {
throw new ParseException("When there are more than one MATCHED clauses in a MERGE " +
"statement, only the last MATCHED clause can omit the condition.", ctx)
}
val notMatchedActionSize = notMatchedActions.length
if (notMatchedActionSize >= 2 && !notMatchedActions.init.forall(_.condition.nonEmpty)) {
throw new ParseException("When there are more than one NOT MATCHED clauses in a MERGE " +
"statement, only the last NOT MATCHED clause can omit the condition.", ctx)
}
MergeIntoTable(
aliasedTarget,
aliasedSource,
mergeCondition,
matchedActions.toSeq,
notMatchedActions.toSeq)
}
/**
* Create a partition specification map.
*/
override def visitPartitionSpec(
ctx: PartitionSpecContext): Map[String, Option[String]] = withOrigin(ctx) {
val legacyNullAsString =
conf.getConf(SQLConf.LEGACY_PARSE_NULL_PARTITION_SPEC_AS_STRING_LITERAL)
val parts = ctx.partitionVal.asScala.map { pVal =>
val name = pVal.identifier.getText
val value = Option(pVal.constant).map(v => visitStringConstant(v, legacyNullAsString))
name -> value
}
// Before calling `toMap`, we check duplicated keys to avoid silently ignore partition values
// in partition spec like PARTITION(a='1', b='2', a='3'). The real semantical check for
// partition columns will be done in analyzer.
if (conf.caseSensitiveAnalysis) {
checkDuplicateKeys(parts.toSeq, ctx)
} else {
checkDuplicateKeys(parts.map(kv => kv._1.toLowerCase(Locale.ROOT) -> kv._2).toSeq, ctx)
}
parts.toMap
}
/**
* Create a partition specification map without optional values.
*/
protected def visitNonOptionalPartitionSpec(
ctx: PartitionSpecContext): Map[String, String] = withOrigin(ctx) {
visitPartitionSpec(ctx).map {
case (key, None) => throw new ParseException(s"Found an empty partition key '$key'.", ctx)
case (key, Some(value)) => key -> value
}
}
/**
* Convert a constant of any type into a string. This is typically used in DDL commands, and its
* main purpose is to prevent slight differences due to back to back conversions i.e.:
* String -> Literal -> String.
*/
protected def visitStringConstant(
ctx: ConstantContext,
legacyNullAsString: Boolean): String = withOrigin(ctx) {
ctx match {
case _: NullLiteralContext if !legacyNullAsString => null
case s: StringLiteralContext => createString(s)
case o => o.getText
}
}
/**
* Add ORDER BY/SORT BY/CLUSTER BY/DISTRIBUTE BY/LIMIT/WINDOWS clauses to the logical plan. These
* clauses determine the shape (ordering/partitioning/rows) of the query result.
*/
private def withQueryResultClauses(
ctx: QueryOrganizationContext,
query: LogicalPlan): LogicalPlan = withOrigin(ctx) {
import ctx._
// Handle ORDER BY, SORT BY, DISTRIBUTE BY, and CLUSTER BY clause.
val withOrder = if (
!order.isEmpty && sort.isEmpty && distributeBy.isEmpty && clusterBy.isEmpty) {
// ORDER BY ...
Sort(order.asScala.map(visitSortItem).toSeq, global = true, query)
} else if (order.isEmpty && !sort.isEmpty && distributeBy.isEmpty && clusterBy.isEmpty) {
// SORT BY ...
Sort(sort.asScala.map(visitSortItem).toSeq, global = false, query)
} else if (order.isEmpty && sort.isEmpty && !distributeBy.isEmpty && clusterBy.isEmpty) {
// DISTRIBUTE BY ...
withRepartitionByExpression(ctx, expressionList(distributeBy), query)
} else if (order.isEmpty && !sort.isEmpty && !distributeBy.isEmpty && clusterBy.isEmpty) {
// SORT BY ... DISTRIBUTE BY ...
Sort(
sort.asScala.map(visitSortItem).toSeq,
global = false,
withRepartitionByExpression(ctx, expressionList(distributeBy), query))
} else if (order.isEmpty && sort.isEmpty && distributeBy.isEmpty && !clusterBy.isEmpty) {
// CLUSTER BY ...
val expressions = expressionList(clusterBy)
Sort(
expressions.map(SortOrder(_, Ascending)),
global = false,
withRepartitionByExpression(ctx, expressions, query))
} else if (order.isEmpty && sort.isEmpty && distributeBy.isEmpty && clusterBy.isEmpty) {
// [EMPTY]
query
} else {
throw new ParseException(
"Combination of ORDER BY/SORT BY/DISTRIBUTE BY/CLUSTER BY is not supported", ctx)
}
// WINDOWS
val withWindow = withOrder.optionalMap(windowClause)(withWindowClause)
// LIMIT
// - LIMIT ALL is the same as omitting the LIMIT clause
withWindow.optional(limit) {
Limit(typedVisit(limit), withWindow)
}
}
/**
* Create a clause for DISTRIBUTE BY.
*/
protected def withRepartitionByExpression(
ctx: QueryOrganizationContext,
expressions: Seq[Expression],
query: LogicalPlan): LogicalPlan = {
throw new ParseException("DISTRIBUTE BY is not supported", ctx)
}
override def visitTransformQuerySpecification(
ctx: TransformQuerySpecificationContext): LogicalPlan = withOrigin(ctx) {
val from = OneRowRelation().optional(ctx.fromClause) {
visitFromClause(ctx.fromClause)
}
withTransformQuerySpecification(ctx, ctx.transformClause, ctx.whereClause, from)
}
override def visitRegularQuerySpecification(
ctx: RegularQuerySpecificationContext): LogicalPlan = withOrigin(ctx) {
val from = OneRowRelation().optional(ctx.fromClause) {
visitFromClause(ctx.fromClause)
}
withSelectQuerySpecification(
ctx,
ctx.selectClause,
ctx.lateralView,
ctx.whereClause,
ctx.aggregationClause,
ctx.havingClause,
ctx.windowClause,
from
)
}
override def visitNamedExpressionSeq(
ctx: NamedExpressionSeqContext): Seq[Expression] = {
Option(ctx).toSeq
.flatMap(_.namedExpression.asScala)
.map(typedVisit[Expression])
}
/**
* Create a logical plan using a having clause.
*/
private def withHavingClause(
ctx: HavingClauseContext, plan: LogicalPlan): LogicalPlan = {
// Note that we add a cast to non-predicate expressions. If the expression itself is
// already boolean, the optimizer will get rid of the unnecessary cast.
val predicate = expression(ctx.booleanExpression) match {
case p: Predicate => p
case e => Cast(e, BooleanType)
}
UnresolvedHaving(predicate, plan)
}
/**
* Create a logical plan using a where clause.
*/
private def withWhereClause(ctx: ArcticExtendSparkSqlParser.WhereClauseContext, plan: LogicalPlan): LogicalPlan = {
Filter(expression(ctx.booleanExpression), plan)
}
override def visitExpressionSeq(
ctx: ExpressionSeqContext): Seq[Expression] = {
Option(ctx).toSeq
.flatMap(_.expression.asScala)
.map(typedVisit[Expression])
}
/**
* Add a hive-style transform (SELECT TRANSFORM/MAP/REDUCE) query specification to a logical plan.
*/
private def withTransformQuerySpecification(
ctx: ParserRuleContext,
transformClause: ArcticExtendSparkSqlParser.TransformClauseContext,
whereClause: ArcticExtendSparkSqlParser.WhereClauseContext,
relation: LogicalPlan): LogicalPlan = withOrigin(ctx) {
// Add where.
val withFilter = relation.optionalMap(whereClause)(withWhereClause)
// Create the transform.
val expressions = visitExpressionSeq(transformClause.expressionSeq)
// Create the attributes.
val (attributes, schemaLess) = if (transformClause.colTypeList != null) {
// Typed return columns.
(createSchema(transformClause.colTypeList).toAttributes, false)
} else if (transformClause.identifierSeq != null) {
// Untyped return columns.
val attrs = visitIdentifierSeq(transformClause.identifierSeq).map { name =>
AttributeReference(name, StringType, nullable = true)()
}
(attrs, false)
} else {
(Seq(AttributeReference("key", StringType)(),
AttributeReference("value", StringType)()), true)
}
// Create the transform.
ScriptTransformation(
expressions,
string(transformClause.script),
attributes,
withFilter,
withScriptIOSchema(
ctx,
transformClause.inRowFormat,
transformClause.recordWriter,
transformClause.outRowFormat,
transformClause.recordReader,
schemaLess
)
)
}
/**
* Add a regular (SELECT) query specification to a logical plan. The query specification
* is the core of the logical plan, this is where sourcing (FROM clause), projection (SELECT),
* aggregation (GROUP BY ... HAVING ...) and filtering (WHERE) takes place.
*
* Note that query hints are ignored (both by the parser and the builder).
*/
private def withSelectQuerySpecification(
ctx: ParserRuleContext,
selectClause: ArcticExtendSparkSqlParser.SelectClauseContext,
lateralView: java.util.List[ArcticExtendSparkSqlParser.LateralViewContext],
whereClause: ArcticExtendSparkSqlParser.WhereClauseContext,
aggregationClause: ArcticExtendSparkSqlParser.AggregationClauseContext,
havingClause: ArcticExtendSparkSqlParser.HavingClauseContext,
windowClause: ArcticExtendSparkSqlParser.WindowClauseContext,
relation: LogicalPlan): LogicalPlan = withOrigin(ctx) {
// Add lateral views.
val withLateralView = lateralView.asScala.foldLeft(relation)(withGenerate)
// Add where.
val withFilter = withLateralView.optionalMap(whereClause)(withWhereClause)
val expressions = visitNamedExpressionSeq(selectClause.namedExpressionSeq)
// Add aggregation or a project.
val namedExpressions = expressions.map {
case e: NamedExpression => e
case e: Expression => UnresolvedAlias(e)
}
def createProject() = if (namedExpressions.nonEmpty) {
Project(namedExpressions, withFilter)
} else {
withFilter
}
val withProject = if (aggregationClause == null && havingClause != null) {
if (conf.getConf(SQLConf.LEGACY_HAVING_WITHOUT_GROUP_BY_AS_WHERE)) {
// If the legacy conf is set, treat HAVING without GROUP BY as WHERE.
val predicate = expression(havingClause.booleanExpression) match {
case p: Predicate => p
case e => Cast(e, BooleanType)
}
Filter(predicate, createProject())
} else {
// According to SQL standard, HAVING without GROUP BY means global aggregate.
withHavingClause(havingClause, Aggregate(Nil, namedExpressions, withFilter))
}
} else if (aggregationClause != null) {
val aggregate = withAggregationClause(aggregationClause, namedExpressions, withFilter)
aggregate.optionalMap(havingClause)(withHavingClause)
} else {
// When hitting this branch, `having` must be null.
createProject()
}
// Distinct
val withDistinct = if (
selectClause.setQuantifier() != null &&
selectClause.setQuantifier().DISTINCT() != null) {
Distinct(withProject)
} else {
withProject
}
// Window
val withWindow = withDistinct.optionalMap(windowClause)(withWindowClause)
// Hint
selectClause.hints.asScala.foldRight(withWindow)(withHints)
}
/**
* Create a (Hive based) [[ScriptInputOutputSchema]].
*/
protected def withScriptIOSchema(
ctx: ParserRuleContext,
inRowFormat: ArcticExtendSparkSqlParser.RowFormatContext,
recordWriter: Token,
outRowFormat: ArcticExtendSparkSqlParser.RowFormatContext,
recordReader: Token,
schemaLess: Boolean): ScriptInputOutputSchema = {
throw new ParseException("Script Transform is not supported", ctx)
}
/**
* Create a logical plan for a given 'FROM' clause. Note that we support multiple (comma
* separated) relations here, these get converted into a single plan by condition-less inner join.
*/
override def visitFromClause(ctx: FromClauseContext): LogicalPlan = withOrigin(ctx) {
val from = ctx.relation.asScala.foldLeft(null: LogicalPlan) { (left, relation) =>
val right = plan(relation.relationPrimary)
val join = right.optionalMap(left)(Join(_, _, Inner, None, JoinHint.NONE))
withJoinRelations(join, relation)
}
if (ctx.pivotClause() != null) {
if (!ctx.lateralView.isEmpty) {
throw new ParseException("LATERAL cannot be used together with PIVOT in FROM clause", ctx)
}
withPivot(ctx.pivotClause, from)
} else {
ctx.lateralView.asScala.foldLeft(from)(withGenerate)
}
}
/**
* Connect two queries by a Set operator.
*
* Supported Set operators are:
* - UNION [ DISTINCT | ALL ]
* - EXCEPT [ DISTINCT | ALL ]
* - MINUS [ DISTINCT | ALL ]
* - INTERSECT [DISTINCT | ALL]
*/
override def visitSetOperation(ctx: SetOperationContext): LogicalPlan = withOrigin(ctx) {
val left = plan(ctx.left)
val right = plan(ctx.right)
val all = Option(ctx.setQuantifier()).exists(_.ALL != null)
ctx.operator.getType match {
case ArcticExtendSparkSqlParser.UNION if all =>
Union(left, right)
case ArcticExtendSparkSqlParser.UNION =>
Distinct(Union(left, right))
case ArcticExtendSparkSqlParser.INTERSECT if all =>
Intersect(left, right, isAll = true)
case ArcticExtendSparkSqlParser.INTERSECT =>
Intersect(left, right, isAll = false)
case ArcticExtendSparkSqlParser.EXCEPT if all =>
Except(left, right, isAll = true)
case ArcticExtendSparkSqlParser.EXCEPT =>
Except(left, right, isAll = false)
case ArcticExtendSparkSqlParser.SETMINUS if all =>
Except(left, right, isAll = true)
case ArcticExtendSparkSqlParser.SETMINUS =>
Except(left, right, isAll = false)
}
}
/**
* Add a [[WithWindowDefinition]] operator to a logical plan.
*/
private def withWindowClause(
ctx: WindowClauseContext,
query: LogicalPlan): LogicalPlan = withOrigin(ctx) {
// Collect all window specifications defined in the WINDOW clause.
val baseWindowTuples = ctx.namedWindow.asScala.map {
wCtx =>
(wCtx.name.getText, typedVisit[WindowSpec](wCtx.windowSpec))
}
baseWindowTuples.groupBy(_._1).foreach { kv =>
if (kv._2.size > 1) {
throw new ParseException(s"The definition of window '${kv._1}' is repetitive", ctx)
}
}
val baseWindowMap = baseWindowTuples.toMap
// Handle cases like
// window w1 as (partition by p_mfgr order by p_name
// range between 2 preceding and 2 following),
// w2 as w1
val windowMapView = baseWindowMap.mapValues {
case WindowSpecReference(name) =>
baseWindowMap.get(name) match {
case Some(spec: WindowSpecDefinition) =>
spec
case Some(ref) =>
throw new ParseException(s"Window reference '$name' is not a window specification", ctx)
case None =>
throw new ParseException(s"Cannot resolve window reference '$name'", ctx)
}
case spec: WindowSpecDefinition => spec
}
// Note that mapValues creates a view instead of materialized map. We force materialization by
// mapping over identity.
WithWindowDefinition(windowMapView.map(identity).toMap, query)
}
/**
* Add an [[Aggregate]] or [[GroupingSets]] to a logical plan.
*/
private def withAggregationClause(
ctx: AggregationClauseContext,
selectExpressions: Seq[NamedExpression],
query: LogicalPlan): LogicalPlan = withOrigin(ctx) {
val groupByExpressions = expressionList(ctx.groupingExpressions)
if (ctx.GROUPING != null) {
// GROUP BY .... GROUPING SETS (...)
val selectedGroupByExprs =
ctx.groupingSet.asScala.map(_.expression.asScala.map(e => expression(e)).toSeq)
GroupingSets(selectedGroupByExprs.toSeq, groupByExpressions, query, selectExpressions)
} else {
// GROUP BY .... (WITH CUBE | WITH ROLLUP)?
val mappedGroupByExpressions = if (ctx.CUBE != null) {
Seq(Cube(groupByExpressions))
} else if (ctx.ROLLUP != null) {
Seq(Rollup(groupByExpressions))
} else {
groupByExpressions
}
Aggregate(mappedGroupByExpressions, selectExpressions, query)
}
}
/**
* Add [[UnresolvedHint]]s to a logical plan.
*/
private def withHints(
ctx: HintContext,
query: LogicalPlan): LogicalPlan = withOrigin(ctx) {
var plan = query
ctx.hintStatements.asScala.reverse.foreach { stmt =>
plan = UnresolvedHint(stmt.hintName.getText,
stmt.parameters.asScala.map(expression).toSeq, plan)
}
plan
}
/**
* Add a [[Pivot]] to a logical plan.
*/
private def withPivot(
ctx: PivotClauseContext,
query: LogicalPlan): LogicalPlan = withOrigin(ctx) {
val aggregates = Option(ctx.aggregates).toSeq
.flatMap(_.namedExpression.asScala)
.map(typedVisit[Expression])
val pivotColumn = if (ctx.pivotColumn.identifiers.size == 1) {
UnresolvedAttribute.quoted(ctx.pivotColumn.identifier.getText)
} else {
CreateStruct(
ctx.pivotColumn.identifiers.asScala.map(
identifier => UnresolvedAttribute.quoted(identifier.getText)).toSeq)
}
val pivotValues = ctx.pivotValues.asScala.map(visitPivotValue)
Pivot(None, pivotColumn, pivotValues.toSeq, aggregates, query)
}
/**
* Create a Pivot column value with or without an alias.
*/
override def visitPivotValue(ctx: PivotValueContext): Expression = withOrigin(ctx) {
val e = expression(ctx.expression)
if (ctx.identifier != null) {
Alias(e, ctx.identifier.getText)()
} else {
e
}
}
/**
* Add a [[Generate]] (Lateral View) to a logical plan.
*/
private def withGenerate(
query: LogicalPlan,
ctx: LateralViewContext): LogicalPlan = withOrigin(ctx) {
val expressions = expressionList(ctx.expression)
Generate(
UnresolvedGenerator(visitFunctionName(ctx.qualifiedName), expressions),
unrequiredChildIndex = Nil,
outer = ctx.OUTER != null,
// scalastyle:off caselocale
Some(ctx.tblName.getText.toLowerCase),
// scalastyle:on caselocale
ctx.colName.asScala.map(_.getText).map(UnresolvedAttribute.apply).toSeq,
query)
}
/**
* Create a single relation referenced in a FROM clause. This method is used when a part of the
* join condition is nested, for example:
* {{{
* select * from t1 join (t2 cross join t3) on col1 = col2
* }}}
*/
override def visitRelation(ctx: RelationContext): LogicalPlan = withOrigin(ctx) {
withJoinRelations(plan(ctx.relationPrimary), ctx)
}
/**
* Join one more [[LogicalPlan]]s to the current logical plan.
*/
private def withJoinRelations(base: LogicalPlan, ctx: RelationContext): LogicalPlan = {
ctx.joinRelation.asScala.foldLeft(base) { (left, join) =>
withOrigin(join) {
val baseJoinType = join.joinType match {
case null => Inner
case jt if jt.CROSS != null => Cross
case jt if jt.FULL != null => FullOuter
case jt if jt.SEMI != null => LeftSemi
case jt if jt.ANTI != null => LeftAnti
case jt if jt.LEFT != null => LeftOuter
case jt if jt.RIGHT != null => RightOuter
case _ => Inner
}
// Resolve the join type and join condition
val (joinType, condition) = Option(join.joinCriteria) match {
case Some(c) if c.USING != null =>
(UsingJoin(baseJoinType, visitIdentifierList(c.identifierList)), None)
case Some(c) if c.booleanExpression != null =>
(baseJoinType, Option(expression(c.booleanExpression)))
case Some(c) =>
throw new ParseException(s"Unimplemented joinCriteria: $c", ctx)
case None if join.NATURAL != null =>
if (baseJoinType == Cross) {
throw new ParseException("NATURAL CROSS JOIN is not supported", ctx)
}
(NaturalJoin(baseJoinType), None)
case None =>
(baseJoinType, None)
}
Join(left, plan(join.right), joinType, condition, JoinHint.NONE)
}
}
}
/**
* Add a [[Sample]] to a logical plan.
*
* This currently supports the following sampling methods:
* - TABLESAMPLE(x ROWS): Sample the table down to the given number of rows.
* - TABLESAMPLE(x PERCENT): Sample the table down to the given percentage. Note that percentages
* are defined as a number between 0 and 100.
* - TABLESAMPLE(BUCKET x OUT OF y): Sample the table down to a 'x' divided by 'y' fraction.
*/
private def withSample(ctx: SampleContext, query: LogicalPlan): LogicalPlan = withOrigin(ctx) {
// Create a sampled plan if we need one.
def sample(fraction: Double): Sample = {
// The range of fraction accepted by Sample is [0, 1]. Because Hive's block sampling
// function takes X PERCENT as the input and the range of X is [0, 100], we need to
// adjust the fraction.
val eps = RandomSampler.roundingEpsilon
validate(fraction >= 0.0 - eps && fraction <= 1.0 + eps,
s"Sampling fraction ($fraction) must be on interval [0, 1]",
ctx)
Sample(0.0, fraction, withReplacement = false, (math.random * 1000).toInt, query)
}
if (ctx.sampleMethod() == null) {
throw new ParseException("TABLESAMPLE does not accept empty inputs.", ctx)
}
ctx.sampleMethod() match {
case ctx: SampleByRowsContext =>
Limit(expression(ctx.expression), query)
case ctx: SampleByPercentileContext =>
val fraction = ctx.percentage.getText.toDouble
val sign = if (ctx.negativeSign == null) 1 else -1
sample(sign * fraction / 100.0d)
case ctx: SampleByBytesContext =>
val bytesStr = ctx.bytes.getText
if (bytesStr.matches("[0-9]+[bBkKmMgG]")) {
throw new ParseException("TABLESAMPLE(byteLengthLiteral) is not supported", ctx)
} else {
throw new ParseException(
bytesStr + " is not a valid byte length literal, " +
"expected syntax: DIGIT+ ('B' | 'K' | 'M' | 'G')", ctx)
}
case ctx: SampleByBucketContext if ctx.ON() != null =>
if (ctx.identifier != null) {
throw new ParseException(
"TABLESAMPLE(BUCKET x OUT OF y ON colname) is not supported", ctx)
} else {
throw new ParseException(
"TABLESAMPLE(BUCKET x OUT OF y ON function) is not supported", ctx)
}
case ctx: SampleByBucketContext =>
sample(ctx.numerator.getText.toDouble / ctx.denominator.getText.toDouble)
}
}
/**
* Create a logical plan for a sub-query.
*/
override def visitSubquery(ctx: SubqueryContext): LogicalPlan = withOrigin(ctx) {
plan(ctx.query)
}
/**
* Create an un-aliased table reference. This is typically used for top-level table references,
* for example:
* {{{
* INSERT INTO db.tbl2
* TABLE db.tbl1
* }}}
*/
override def visitTable(ctx: TableContext): LogicalPlan = withOrigin(ctx) {
UnresolvedRelation(visitMultipartIdentifier(ctx.multipartIdentifier))
}
/**
* Create an aliased table reference. This is typically used in FROM clauses.
*/
override def visitTableName(ctx: TableNameContext): LogicalPlan = withOrigin(ctx) {
val tableId = visitMultipartIdentifier(ctx.multipartIdentifier)
val table = mayApplyAliasPlan(ctx.tableAlias, UnresolvedRelation(tableId))
table.optionalMap(ctx.sample)(withSample)
}
/**
* Create a table-valued function call with arguments, e.g. range(1000)
*/
override def visitTableValuedFunction(ctx: TableValuedFunctionContext)
: LogicalPlan = withOrigin(ctx) {
val func = ctx.functionTable
val aliases = if (func.tableAlias.identifierList != null) {
visitIdentifierList(func.tableAlias.identifierList)
} else {
Seq.empty
}
val tvf = UnresolvedTableValuedFunction(
func.funcName.getText, func.expression.asScala.map(expression).toSeq, aliases)
tvf.optionalMap(func.tableAlias.strictIdentifier)(aliasPlan)
}
/**
* Create an inline table (a virtual table in Hive parlance).
*/
override def visitInlineTable(ctx: InlineTableContext): LogicalPlan = withOrigin(ctx) {
// Get the backing expressions.
val rows = ctx.expression.asScala.map { e =>
expression(e) match {
// inline table comes in two styles:
// style 1: values (1), (2), (3) -- multiple columns are supported
// style 2: values 1, 2, 3 -- only a single column is supported here
case struct: CreateNamedStruct => struct.valExprs // style 1
case child => Seq(child) // style 2
}
}
val aliases = if (ctx.tableAlias.identifierList != null) {
visitIdentifierList(ctx.tableAlias.identifierList)
} else {
Seq.tabulate(rows.head.size)(i => s"col${i + 1}")
}
val table = UnresolvedInlineTable(aliases, rows.toSeq)
table.optionalMap(ctx.tableAlias.strictIdentifier)(aliasPlan)
}
/**
* Create an alias (SubqueryAlias) for a join relation. This is practically the same as
* visitAliasedQuery and visitNamedExpression, ANTLR4 however requires us to use 3 different
* hooks. We could add alias names for output columns, for example:
* {{{
* SELECT a, b, c, d FROM (src1 s1 INNER JOIN src2 s2 ON s1.id = s2.id) dst(a, b, c, d)
* }}}
*/
override def visitAliasedRelation(ctx: AliasedRelationContext): LogicalPlan = withOrigin(ctx) {
val relation = plan(ctx.relation).optionalMap(ctx.sample)(withSample)
mayApplyAliasPlan(ctx.tableAlias, relation)
}
/**
* Create an alias (SubqueryAlias) for a sub-query. This is practically the same as
* visitAliasedRelation and visitNamedExpression, ANTLR4 however requires us to use 3 different
* hooks. We could add alias names for output columns, for example:
* {{{
* SELECT col1, col2 FROM testData AS t(col1, col2)
* }}}
*/
override def visitAliasedQuery(ctx: AliasedQueryContext): LogicalPlan = withOrigin(ctx) {
val relation = plan(ctx.query).optionalMap(ctx.sample)(withSample)
if (ctx.tableAlias.strictIdentifier == null) {
// For un-aliased subqueries, use a default alias name that is not likely to conflict with
// normal subquery names, so that parent operators can only access the columns in subquery by
// unqualified names. Users can still use this special qualifier to access columns if they
// know it, but that's not recommended.
SubqueryAlias("__auto_generated_subquery_name", relation)
} else {
mayApplyAliasPlan(ctx.tableAlias, relation)
}
}
/**
* Create an alias ([[SubqueryAlias]]) for a [[LogicalPlan]].
*/
private def aliasPlan(alias: ParserRuleContext, plan: LogicalPlan): LogicalPlan = {
SubqueryAlias(alias.getText, plan)
}
/**
* If aliases specified in a FROM clause, create a subquery alias ([[SubqueryAlias]]) and
* column aliases for a [[LogicalPlan]].
*/
private def mayApplyAliasPlan(tableAlias: TableAliasContext, plan: LogicalPlan): LogicalPlan = {
if (tableAlias.strictIdentifier != null) {
val subquery = SubqueryAlias(tableAlias.strictIdentifier.getText, plan)
if (tableAlias.identifierList != null) {
val columnNames = visitIdentifierList(tableAlias.identifierList)
UnresolvedSubqueryColumnAliases(columnNames, subquery)
} else {
subquery
}
} else {
plan
}
}
/**
* Create a Sequence of Strings for a parenthesis enclosed alias list.
*/
override def visitIdentifierList(ctx: IdentifierListContext): Seq[String] = withOrigin(ctx) {
visitIdentifierSeq(ctx.identifierSeq)
}
/**
* Create a Sequence of Strings for an identifier list.
*/
override def visitIdentifierSeq(ctx: IdentifierSeqContext): Seq[String] = withOrigin(ctx) {
ctx.ident.asScala.map(_.getText).toSeq
}
/* ********************************************************************************************
* Table Identifier parsing
* ******************************************************************************************** */
/**
* Create a [[TableIdentifier]] from a 'tableName' or 'databaseName'.'tableName' pattern.
*/
override def visitTableIdentifier(
ctx: TableIdentifierContext): TableIdentifier = withOrigin(ctx) {
TableIdentifier(ctx.table.getText, Option(ctx.db).map(_.getText))
}
/**
* Create a [[FunctionIdentifier]] from a 'functionName' or 'databaseName'.'functionName' pattern.
*/
override def visitFunctionIdentifier(
ctx: FunctionIdentifierContext): FunctionIdentifier = withOrigin(ctx) {
FunctionIdentifier(ctx.function.getText, Option(ctx.db).map(_.getText))
}
/**
* Create a multi-part identifier.
*/
override def visitMultipartIdentifier(ctx: MultipartIdentifierContext): Seq[String] =
withOrigin(ctx) {
ctx.parts.asScala.map(_.getText).toSeq
}
/* ********************************************************************************************
* Expression parsing
* ******************************************************************************************** */
/**
* Create an expression from the given context. This method just passes the context on to the
* visitor and only takes care of typing (We assume that the visitor returns an Expression here).
*/
protected def expression(ctx: ParserRuleContext): Expression = typedVisit(ctx)
/**
* Create sequence of expressions from the given sequence of contexts.
*/
private def expressionList(trees: java.util.List[ExpressionContext]): Seq[Expression] = {
trees.asScala.map(expression).toSeq
}
/**
* Create a star (i.e. all) expression; this selects all elements (in the specified object).
* Both un-targeted (global) and targeted aliases are supported.
*/
override def visitStar(ctx: StarContext): Expression = withOrigin(ctx) {
UnresolvedStar(Option(ctx.qualifiedName()).map(_.identifier.asScala.map(_.getText).toSeq))
}
/**
* Create an aliased expression if an alias is specified. Both single and multi-aliases are
* supported.
*/
override def visitNamedExpression(ctx: NamedExpressionContext): Expression = withOrigin(ctx) {
val e = expression(ctx.expression)
if (ctx.name != null) {
Alias(e, ctx.name.getText)()
} else if (ctx.identifierList != null) {
MultiAlias(e, visitIdentifierList(ctx.identifierList))
} else {
e
}
}
/**
* Combine a number of boolean expressions into a balanced expression tree. These expressions are
* either combined by a logical [[And]] or a logical [[Or]].
*
* A balanced binary tree is created because regular left recursive trees cause considerable
* performance degradations and can cause stack overflows.
*/
override def visitLogicalBinary(ctx: LogicalBinaryContext): Expression = withOrigin(ctx) {
val expressionType = ctx.operator.getType
val expressionCombiner = expressionType match {
case ArcticExtendSparkSqlParser.AND => And.apply _
case ArcticExtendSparkSqlParser.OR => Or.apply _
}
// Collect all similar left hand contexts.
val contexts = ArrayBuffer(ctx.right)
var current = ctx.left
def collectContexts: Boolean = current match {
case lbc: LogicalBinaryContext if lbc.operator.getType == expressionType =>
contexts += lbc.right
current = lbc.left
true
case _ =>
contexts += current
false
}
while (collectContexts) {
// No body - all updates take place in the collectContexts.
}
// Reverse the contexts to have them in the same sequence as in the SQL statement & turn them
// into expressions.
val expressions = contexts.reverseMap(expression)
// Create a balanced tree.
def reduceToExpressionTree(low: Int, high: Int): Expression = high - low match {
case 0 =>
expressions(low)
case 1 =>
expressionCombiner(expressions(low), expressions(high))
case x =>
val mid = low + x / 2
expressionCombiner(
reduceToExpressionTree(low, mid),
reduceToExpressionTree(mid + 1, high))
}
reduceToExpressionTree(0, expressions.size - 1)
}
/**
* Invert a boolean expression.
*/
override def visitLogicalNot(ctx: LogicalNotContext): Expression = withOrigin(ctx) {
Not(expression(ctx.booleanExpression()))
}
/**
* Create a filtering correlated sub-query (EXISTS).
*/
override def visitExists(ctx: ExistsContext): Expression = {
Exists(plan(ctx.query))
}
/**
* Create a comparison expression. This compares two expressions. The following comparison
* operators are supported:
* - Equal: '=' or '=='
* - Null-safe Equal: '<=>'
* - Not Equal: '<>' or '!='
* - Less than: '<'
* - Less then or Equal: '<='
* - Greater than: '>'
* - Greater then or Equal: '>='
*/
override def visitComparison(ctx: ComparisonContext): Expression = withOrigin(ctx) {
val left = expression(ctx.left)
val right = expression(ctx.right)
val operator = ctx.comparisonOperator().getChild(0).asInstanceOf[TerminalNode]
operator.getSymbol.getType match {
case ArcticExtendSparkSqlParser.EQ =>
EqualTo(left, right)
case ArcticExtendSparkSqlParser.NSEQ =>
EqualNullSafe(left, right)
case ArcticExtendSparkSqlParser.NEQ | ArcticExtendSparkSqlParser.NEQJ =>
Not(EqualTo(left, right))
case ArcticExtendSparkSqlParser.LT =>
LessThan(left, right)
case ArcticExtendSparkSqlParser.LTE =>
LessThanOrEqual(left, right)
case ArcticExtendSparkSqlParser.GT =>
GreaterThan(left, right)
case ArcticExtendSparkSqlParser.GTE =>
GreaterThanOrEqual(left, right)
}
}
/**
* Create a predicated expression. A predicated expression is a normal expression with a
* predicate attached to it, for example:
* {{{
* a + 1 IS NULL
* }}}
*/
override def visitPredicated(ctx: PredicatedContext): Expression = withOrigin(ctx) {
val e = expression(ctx.valueExpression)
if (ctx.predicate != null) {
withPredicate(e, ctx.predicate)
} else {
e
}
}
/**
* Add a predicate to the given expression. Supported expressions are:
* - (NOT) BETWEEN
* - (NOT) IN
* - (NOT) LIKE (ANY | SOME | ALL)
* - (NOT) RLIKE
* - IS (NOT) NULL.
* - IS (NOT) (TRUE | FALSE | UNKNOWN)
* - IS (NOT) DISTINCT FROM
*/
private def withPredicate(e: Expression, ctx: PredicateContext): Expression = withOrigin(ctx) {
// Invert a predicate if it has a valid NOT clause.
def invertIfNotDefined(e: Expression): Expression = ctx.NOT match {
case null => e
case not => Not(e)
}
def getValueExpressions(e: Expression): Seq[Expression] = e match {
case c: CreateNamedStruct => c.valExprs
case other => Seq(other)
}
// Create the predicate.
ctx.kind.getType match {
case ArcticExtendSparkSqlParser.BETWEEN =>
// BETWEEN is translated to lower <= e && e <= upper
invertIfNotDefined(And(
GreaterThanOrEqual(e, expression(ctx.lower)),
LessThanOrEqual(e, expression(ctx.upper))))
case ArcticExtendSparkSqlParser.IN if ctx.query != null =>
invertIfNotDefined(InSubquery(getValueExpressions(e), ListQuery(plan(ctx.query))))
case ArcticExtendSparkSqlParser.IN =>
invertIfNotDefined(In(e, ctx.expression.asScala.map(expression).toSeq))
case ArcticExtendSparkSqlParser.LIKE =>
Option(ctx.quantifier).map(_.getType) match {
case Some(ArcticExtendSparkSqlParser.ANY) | Some(ArcticExtendSparkSqlParser.SOME) =>
validate(!ctx.expression.isEmpty, "Expected something between '(' and ')'.", ctx)
val expressions = expressionList(ctx.expression)
if (expressions.forall(_.foldable) && expressions.forall(_.dataType == StringType)) {
// If there are many pattern expressions, will throw StackOverflowError.
// So we use LikeAny or NotLikeAny instead.
val patterns = expressions.map(_.eval(EmptyRow).asInstanceOf[UTF8String])
ctx.NOT match {
case null => LikeAny(e, patterns.toSeq)
case _ => NotLikeAny(e, patterns.toSeq)
}
} else {
ctx.expression.asScala.map(expression)
.map(p => invertIfNotDefined(new Like(e, p))).toSeq.reduceLeft(Or)
}
case Some(ArcticExtendSparkSqlParser.ALL) =>
validate(!ctx.expression.isEmpty, "Expected something between '(' and ')'.", ctx)
val expressions = expressionList(ctx.expression)
if (expressions.forall(_.foldable) && expressions.forall(_.dataType == StringType)) {
// If there are many pattern expressions, will throw StackOverflowError.
// So we use LikeAll or NotLikeAll instead.
val patterns = expressions.map(_.eval(EmptyRow).asInstanceOf[UTF8String])
ctx.NOT match {
case null => LikeAll(e, patterns.toSeq)
case _ => NotLikeAll(e, patterns.toSeq)
}
} else {
ctx.expression.asScala.map(expression)
.map(p => invertIfNotDefined(new Like(e, p))).toSeq.reduceLeft(And)
}
case _ =>
val escapeChar = Option(ctx.escapeChar).map(string).map { str =>
if (str.length != 1) {
throw new ParseException("Invalid escape string." +
"Escape string must contain only one character.", ctx)
}
str.charAt(0)
}.getOrElse('\\')
invertIfNotDefined(Like(e, expression(ctx.pattern), escapeChar))
}
case ArcticExtendSparkSqlParser.RLIKE =>
invertIfNotDefined(RLike(e, expression(ctx.pattern)))
case ArcticExtendSparkSqlParser.NULL if ctx.NOT != null =>
IsNotNull(e)
case ArcticExtendSparkSqlParser.NULL =>
IsNull(e)
case ArcticExtendSparkSqlParser.TRUE => ctx.NOT match {
case null => EqualNullSafe(e, Literal(true))
case _ => Not(EqualNullSafe(e, Literal(true)))
}
case ArcticExtendSparkSqlParser.FALSE => ctx.NOT match {
case null => EqualNullSafe(e, Literal(false))
case _ => Not(EqualNullSafe(e, Literal(false)))
}
case ArcticExtendSparkSqlParser.UNKNOWN => ctx.NOT match {
case null => IsUnknown(e)
case _ => IsNotUnknown(e)
}
case ArcticExtendSparkSqlParser.DISTINCT if ctx.NOT != null =>
EqualNullSafe(e, expression(ctx.right))
case ArcticExtendSparkSqlParser.DISTINCT =>
Not(EqualNullSafe(e, expression(ctx.right)))
}
}
/**
* Create a binary arithmetic expression. The following arithmetic operators are supported:
* - Multiplication: '*'
* - Division: '/'
* - Hive Long Division: 'DIV'
* - Modulo: '%'
* - Addition: '+'
* - Subtraction: '-'
* - Binary AND: '&'
* - Binary XOR
* - Binary OR: '|'
*/
override def visitArithmeticBinary(ctx: ArithmeticBinaryContext): Expression = withOrigin(ctx) {
val left = expression(ctx.left)
val right = expression(ctx.right)
ctx.operator.getType match {
case ArcticExtendSparkSqlParser.ASTERISK =>
Multiply(left, right)
case ArcticExtendSparkSqlParser.SLASH =>
Divide(left, right)
case ArcticExtendSparkSqlParser.PERCENT =>
Remainder(left, right)
case ArcticExtendSparkSqlParser.DIV =>
IntegralDivide(left, right)
case ArcticExtendSparkSqlParser.PLUS =>
Add(left, right)
case ArcticExtendSparkSqlParser.MINUS =>
Subtract(left, right)
case ArcticExtendSparkSqlParser.CONCAT_PIPE =>
Concat(left :: right :: Nil)
case ArcticExtendSparkSqlParser.AMPERSAND =>
BitwiseAnd(left, right)
case ArcticExtendSparkSqlParser.HAT =>
BitwiseXor(left, right)
case ArcticExtendSparkSqlParser.PIPE =>
BitwiseOr(left, right)
}
}
/**
* Create a unary arithmetic expression. The following arithmetic operators are supported:
* - Plus: '+'
* - Minus: '-'
* - Bitwise Not: '~'
*/
override def visitArithmeticUnary(ctx: ArithmeticUnaryContext): Expression = withOrigin(ctx) {
val value = expression(ctx.valueExpression)
ctx.operator.getType match {
case ArcticExtendSparkSqlParser.PLUS =>
UnaryPositive(value)
case ArcticExtendSparkSqlParser.MINUS =>
UnaryMinus(value)
case ArcticExtendSparkSqlParser.TILDE =>
BitwiseNot(value)
}
}
/**
* Create a [[Cast]] expression.
*/
override def visitCast(ctx: CastContext): Expression = withOrigin(ctx) {
val rawDataType = typedVisit[DataType](ctx.dataType())
val dataType = CharVarcharUtils.replaceCharVarcharWithStringForCast(rawDataType)
Cast(expression(ctx.expression), dataType)
}
/**
* Create a [[CreateStruct]] expression.
*/
override def visitStruct(ctx: StructContext): Expression = withOrigin(ctx) {
CreateStruct.create(ctx.argument.asScala.map(expression).toSeq)
}
/**
* Create a [[First]] expression.
*/
override def visitFirst(ctx: FirstContext): Expression = withOrigin(ctx) {
val ignoreNullsExpr = ctx.IGNORE != null
First(expression(ctx.expression), ignoreNullsExpr).toAggregateExpression()
}
/**
* Create a [[Last]] expression.
*/
override def visitLast(ctx: LastContext): Expression = withOrigin(ctx) {
val ignoreNullsExpr = ctx.IGNORE != null
Last(expression(ctx.expression), ignoreNullsExpr).toAggregateExpression()
}
/**
* Create a Position expression.
*/
override def visitPosition(ctx: PositionContext): Expression = withOrigin(ctx) {
new StringLocate(expression(ctx.substr), expression(ctx.str))
}
/**
* Create a Extract expression.
*/
override def visitExtract(ctx: ExtractContext): Expression = withOrigin(ctx) {
val arguments = Seq(Literal(ctx.field.getText), expression(ctx.source))
UnresolvedFunction("extract", arguments, isDistinct = false)
}
/**
* Create a Substring/Substr expression.
*/
override def visitSubstring(ctx: SubstringContext): Expression = withOrigin(ctx) {
if (ctx.len != null) {
Substring(expression(ctx.str), expression(ctx.pos), expression(ctx.len))
} else {
new Substring(expression(ctx.str), expression(ctx.pos))
}
}
/**
* Create a Trim expression.
*/
override def visitTrim(ctx: TrimContext): Expression = withOrigin(ctx) {
val srcStr = expression(ctx.srcStr)
val trimStr = Option(ctx.trimStr).map(expression)
Option(ctx.trimOption).map(_.getType).getOrElse(ArcticExtendSparkSqlParser.BOTH) match {
case ArcticExtendSparkSqlParser.BOTH =>
StringTrim(srcStr, trimStr)
case ArcticExtendSparkSqlParser.LEADING =>
StringTrimLeft(srcStr, trimStr)
case ArcticExtendSparkSqlParser.TRAILING =>
StringTrimRight(srcStr, trimStr)
case other =>
throw new ParseException("Function trim doesn't support with " +
s"type $other. Please use BOTH, LEADING or TRAILING as trim type", ctx)
}
}
/**
* Create a Overlay expression.
*/
override def visitOverlay(ctx: OverlayContext): Expression = withOrigin(ctx) {
val input = expression(ctx.input)
val replace = expression(ctx.replace)
val position = expression(ctx.position)
val lengthOpt = Option(ctx.length).map(expression)
lengthOpt match {
case Some(length) => Overlay(input, replace, position, length)
case None => new Overlay(input, replace, position)
}
}
/**
* Create a (windowed) Function expression.
*/
override def visitFunctionCall(ctx: FunctionCallContext): Expression = withOrigin(ctx) {
// Create the function call.
val name = ctx.functionName.getText
val isDistinct = Option(ctx.setQuantifier()).exists(_.DISTINCT != null)
// Call `toSeq`, otherwise `ctx.argument.asScala.map(expression)` is `Buffer` in Scala 2.13
val arguments = ctx.argument.asScala.map(expression).toSeq match {
case Seq(UnresolvedStar(None))
if name.toLowerCase(Locale.ROOT) == "count" && !isDistinct =>
// Transform COUNT(*) into COUNT(1).
Seq(Literal(1))
case expressions =>
expressions
}
val filter = Option(ctx.where).map(expression(_))
val function = UnresolvedFunction(
getFunctionIdentifier(ctx.functionName), arguments, isDistinct, filter)
// Check if the function is evaluated in a windowed context.
ctx.windowSpec match {
case spec: WindowRefContext =>
UnresolvedWindowExpression(function, visitWindowRef(spec))
case spec: WindowDefContext =>
WindowExpression(function, visitWindowDef(spec))
case _ => function
}
}
/**
* Create a function database (optional) and name pair, for multipartIdentifier.
* This is used in CREATE FUNCTION, DROP FUNCTION, SHOWFUNCTIONS.
*/
protected def visitFunctionName(ctx: MultipartIdentifierContext): FunctionIdentifier = {
visitFunctionName(ctx, ctx.parts.asScala.map(_.getText).toSeq)
}
/**
* Create a function database (optional) and name pair.
*/
protected def visitFunctionName(ctx: QualifiedNameContext): FunctionIdentifier = {
visitFunctionName(ctx, ctx.identifier().asScala.map(_.getText).toSeq)
}
/**
* Create a function database (optional) and name pair.
*/
private def visitFunctionName(ctx: ParserRuleContext, texts: Seq[String]): FunctionIdentifier = {
texts match {
case Seq(db, fn) => FunctionIdentifier(fn, Option(db))
case Seq(fn) => FunctionIdentifier(fn, None)
case other =>
throw new ParseException(s"Unsupported function name '${texts.mkString(".")}'", ctx)
}
}
/**
* Get a function identifier consist by database (optional) and name.
*/
protected def getFunctionIdentifier(ctx: FunctionNameContext): FunctionIdentifier = {
if (ctx.qualifiedName != null) {
visitFunctionName(ctx.qualifiedName)
} else {
FunctionIdentifier(ctx.getText, None)
}
}
/**
* Create an [[LambdaFunction]].
*/
override def visitLambda(ctx: LambdaContext): Expression = withOrigin(ctx) {
val arguments = ctx.identifier().asScala.map { name =>
UnresolvedNamedLambdaVariable(UnresolvedAttribute.quoted(name.getText).nameParts)
}
val function = expression(ctx.expression).transformUp {
case a: UnresolvedAttribute => UnresolvedNamedLambdaVariable(a.nameParts)
}
LambdaFunction(function, arguments.toSeq)
}
/**
* Create a reference to a window frame, i.e. [[WindowSpecReference]].
*/
override def visitWindowRef(ctx: WindowRefContext): WindowSpecReference = withOrigin(ctx) {
WindowSpecReference(ctx.name.getText)
}
/**
* Create a window definition, i.e. [[WindowSpecDefinition]].
*/
override def visitWindowDef(ctx: WindowDefContext): WindowSpecDefinition = withOrigin(ctx) {
// CLUSTER BY ... | PARTITION BY ... ORDER BY ...
val partition = ctx.partition.asScala.map(expression)
val order = ctx.sortItem.asScala.map(visitSortItem)
// RANGE/ROWS BETWEEN ...
val frameSpecOption = Option(ctx.windowFrame).map { frame =>
val frameType = frame.frameType.getType match {
case ArcticExtendSparkSqlParser.RANGE => RangeFrame
case ArcticExtendSparkSqlParser.ROWS => RowFrame
}
SpecifiedWindowFrame(
frameType,
visitFrameBound(frame.start),
Option(frame.end).map(visitFrameBound).getOrElse(CurrentRow))
}
WindowSpecDefinition(
partition.toSeq,
order.toSeq,
frameSpecOption.getOrElse(UnspecifiedFrame))
}
/**
* Create or resolve a frame boundary expressions.
*/
override def visitFrameBound(ctx: FrameBoundContext): Expression = withOrigin(ctx) {
def value: Expression = {
val e = expression(ctx.expression)
validate(e.resolved && e.foldable, "Frame bound value must be a literal.", ctx)
e
}
ctx.boundType.getType match {
case ArcticExtendSparkSqlParser.PRECEDING if ctx.UNBOUNDED != null =>
UnboundedPreceding
case ArcticExtendSparkSqlParser.PRECEDING =>
UnaryMinus(value)
case ArcticExtendSparkSqlParser.CURRENT =>
CurrentRow
case ArcticExtendSparkSqlParser.FOLLOWING if ctx.UNBOUNDED != null =>
UnboundedFollowing
case ArcticExtendSparkSqlParser.FOLLOWING =>
value
}
}
/**
* Create a [[CreateStruct]] expression.
*/
override def visitRowConstructor(ctx: RowConstructorContext): Expression = withOrigin(ctx) {
CreateStruct(ctx.namedExpression().asScala.map(expression).toSeq)
}
/**
* Create a [[ScalarSubquery]] expression.
*/
override def visitSubqueryExpression(
ctx: SubqueryExpressionContext): Expression = withOrigin(ctx) {
ScalarSubquery(plan(ctx.query))
}
/**
* Create a value based [[CaseWhen]] expression. This has the following SQL form:
* {{{
* CASE [expression]
* WHEN [value] THEN [expression]
* ...
* ELSE [expression]
* END
* }}}
*/
override def visitSimpleCase(ctx: SimpleCaseContext): Expression = withOrigin(ctx) {
val e = expression(ctx.value)
val branches = ctx.whenClause.asScala.map { wCtx =>
(EqualTo(e, expression(wCtx.condition)), expression(wCtx.result))
}
CaseWhen(branches.toSeq, Option(ctx.elseExpression).map(expression))
}
/**
* Create a condition based [[CaseWhen]] expression. This has the following SQL syntax:
* {{{
* CASE
* WHEN [predicate] THEN [expression]
* ...
* ELSE [expression]
* END
* }}}
*
* @param ctx the parse tree
* */
override def visitSearchedCase(ctx: SearchedCaseContext): Expression = withOrigin(ctx) {
val branches = ctx.whenClause.asScala.map { wCtx =>
(expression(wCtx.condition), expression(wCtx.result))
}
CaseWhen(branches.toSeq, Option(ctx.elseExpression).map(expression))
}
/**
* Currently only regex in expressions of SELECT statements are supported; in other
* places, e.g., where `(a)?+.+` = 2, regex are not meaningful.
*/
private def canApplyRegex(ctx: ParserRuleContext): Boolean = withOrigin(ctx) {
var parent = ctx.getParent
while (parent != null) {
if (parent.isInstanceOf[NamedExpressionContext]) return true
parent = parent.getParent
}
return false
}
/**
* Create a dereference expression. The return type depends on the type of the parent.
* If the parent is an [[UnresolvedAttribute]], it can be a [[UnresolvedAttribute]] or
* a [[UnresolvedRegex]] for regex quoted in ``; if the parent is some other expression,
* it can be [[UnresolvedExtractValue]].
*/
override def visitDereference(ctx: DereferenceContext): Expression = withOrigin(ctx) {
val attr = ctx.fieldName.getText
expression(ctx.base) match {
case unresolved_attr @ UnresolvedAttribute(nameParts) =>
ctx.fieldName.getStart.getText match {
case escapedIdentifier(columnNameRegex)
if conf.supportQuotedRegexColumnName && canApplyRegex(ctx) =>
UnresolvedRegex(columnNameRegex, Some(unresolved_attr.name),
conf.caseSensitiveAnalysis)
case _ =>
UnresolvedAttribute(nameParts :+ attr)
}
case e =>
UnresolvedExtractValue(e, Literal(attr))
}
}
/**
* Create an [[UnresolvedAttribute]] expression or a [[UnresolvedRegex]] if it is a regex
* quoted in ``
*/
override def visitColumnReference(ctx: ColumnReferenceContext): Expression = withOrigin(ctx) {
ctx.getStart.getText match {
case escapedIdentifier(columnNameRegex)
if conf.supportQuotedRegexColumnName && canApplyRegex(ctx) =>
UnresolvedRegex(columnNameRegex, None, conf.caseSensitiveAnalysis)
case _ =>
UnresolvedAttribute.quoted(ctx.getText)
}
}
/**
* Create an [[UnresolvedExtractValue]] expression, this is used for subscript access to an array.
*/
override def visitSubscript(ctx: SubscriptContext): Expression = withOrigin(ctx) {
UnresolvedExtractValue(expression(ctx.value), expression(ctx.index))
}
/**
* Create an expression for an expression between parentheses. This is need because the ANTLR
* visitor cannot automatically convert the nested context into an expression.
*/
override def visitParenthesizedExpression(
ctx: ParenthesizedExpressionContext): Expression = withOrigin(ctx) {
expression(ctx.expression)
}
/**
* Create a [[SortOrder]] expression.
*/
override def visitSortItem(ctx: SortItemContext): SortOrder = withOrigin(ctx) {
val direction = if (ctx.DESC != null) {
Descending
} else {
Ascending
}
val nullOrdering = if (ctx.FIRST != null) {
NullsFirst
} else if (ctx.LAST != null) {
NullsLast
} else {
direction.defaultNullOrdering
}
SortOrder(expression(ctx.expression), direction, nullOrdering, Seq.empty)
}
/**
* Create a typed Literal expression. A typed literal has the following SQL syntax:
* {{{
* [TYPE] '[VALUE]'
* }}}
* Currently Date, Timestamp, Interval and Binary typed literals are supported.
*/
override def visitTypeConstructor(ctx: TypeConstructorContext): Literal = withOrigin(ctx) {
val value = string(ctx.STRING)
val valueType = ctx.identifier.getText.toUpperCase(Locale.ROOT)
def toLiteral[T](f: UTF8String => Option[T], t: DataType): Literal = {
f(UTF8String.fromString(value)).map(Literal(_, t)).getOrElse {
throw new ParseException(s"Cannot parse the $valueType value: $value", ctx)
}
}
try {
valueType match {
case "DATE" =>
toLiteral(stringToDate(_, getZoneId(SQLConf.get.sessionLocalTimeZone)), DateType)
case "TIMESTAMP" =>
val zoneId = getZoneId(SQLConf.get.sessionLocalTimeZone)
toLiteral(stringToTimestamp(_, zoneId), TimestampType)
case "INTERVAL" =>
val interval = try {
IntervalUtils.stringToInterval(UTF8String.fromString(value))
} catch {
case e: IllegalArgumentException =>
val ex = new ParseException("Cannot parse the INTERVAL value: " + value, ctx)
ex.setStackTrace(e.getStackTrace)
throw ex
}
Literal(interval, CalendarIntervalType)
case "X" =>
val padding = if (value.length % 2 != 0) "0" else ""
Literal(DatatypeConverter.parseHexBinary(padding + value))
case other =>
throw new ParseException(s"Literals of type '$other' are currently not" +
" supported.", ctx)
}
} catch {
case e: IllegalArgumentException =>
val message = Option(e.getMessage).getOrElse(s"Exception parsing $valueType")
throw new ParseException(message, ctx)
}
}
/**
* Create a NULL literal expression.
*/
override def visitNullLiteral(ctx: NullLiteralContext): Literal = withOrigin(ctx) {
Literal(null)
}
/**
* Create a Boolean literal expression.
*/
override def visitBooleanLiteral(ctx: BooleanLiteralContext): Literal = withOrigin(ctx) {
if (ctx.getText.toBoolean) {
Literal.TrueLiteral
} else {
Literal.FalseLiteral
}
}
/**
* Create an integral literal expression. The code selects the most narrow integral type
* possible, either a BigDecimal, a Long or an Integer is returned.
*/
override def visitIntegerLiteral(ctx: IntegerLiteralContext): Literal = withOrigin(ctx) {
BigDecimal(ctx.getText) match {
case v if v.isValidInt =>
Literal(v.intValue)
case v if v.isValidLong =>
Literal(v.longValue)
case v => Literal(v.underlying())
}
}
/**
* Create a decimal literal for a regular decimal number.
*/
override def visitDecimalLiteral(ctx: DecimalLiteralContext): Literal = withOrigin(ctx) {
Literal(BigDecimal(ctx.getText).underlying())
}
/**
* Create a decimal literal for a regular decimal number or a scientific decimal number.
*/
override def visitLegacyDecimalLiteral(
ctx: LegacyDecimalLiteralContext): Literal = withOrigin(ctx) {
Literal(BigDecimal(ctx.getText).underlying())
}
/**
* Create a double literal for number with an exponent, e.g. 1E-30
*/
override def visitExponentLiteral(ctx: ExponentLiteralContext): Literal = {
numericLiteral(ctx, ctx.getText, /* exponent values don't have a suffix */
Double.MinValue, Double.MaxValue, DoubleType.simpleString)(_.toDouble)
}
/** Create a numeric literal expression. */
private def numericLiteral(
ctx: NumberContext,
rawStrippedQualifier: String,
minValue: BigDecimal,
maxValue: BigDecimal,
typeName: String)(converter: String => Any): Literal = withOrigin(ctx) {
try {
val rawBigDecimal = BigDecimal(rawStrippedQualifier)
if (rawBigDecimal < minValue || rawBigDecimal > maxValue) {
throw new ParseException(s"Numeric literal ${rawStrippedQualifier} does not " +
s"fit in range [${minValue}, ${maxValue}] for type ${typeName}", ctx)
}
Literal(converter(rawStrippedQualifier))
} catch {
case e: NumberFormatException =>
throw new ParseException(e.getMessage, ctx)
}
}
/**
* Create a Byte Literal expression.
*/
override def visitTinyIntLiteral(ctx: TinyIntLiteralContext): Literal = {
val rawStrippedQualifier = ctx.getText.substring(0, ctx.getText.length - 1)
numericLiteral(ctx, rawStrippedQualifier,
Byte.MinValue, Byte.MaxValue, ByteType.simpleString)(_.toByte)
}
/**
* Create a Short Literal expression.
*/
override def visitSmallIntLiteral(ctx: SmallIntLiteralContext): Literal = {
val rawStrippedQualifier = ctx.getText.substring(0, ctx.getText.length - 1)
numericLiteral(ctx, rawStrippedQualifier,
Short.MinValue, Short.MaxValue, ShortType.simpleString)(_.toShort)
}
/**
* Create a Long Literal expression.
*/
override def visitBigIntLiteral(ctx: BigIntLiteralContext): Literal = {
val rawStrippedQualifier = ctx.getText.substring(0, ctx.getText.length - 1)
numericLiteral(ctx, rawStrippedQualifier,
Long.MinValue, Long.MaxValue, LongType.simpleString)(_.toLong)
}
/**
* Create a Float Literal expression.
*/
override def visitFloatLiteral(ctx: FloatLiteralContext): Literal = {
val rawStrippedQualifier = ctx.getText.substring(0, ctx.getText.length - 1)
numericLiteral(ctx, rawStrippedQualifier,
Float.MinValue, Float.MaxValue, FloatType.simpleString)(_.toFloat)
}
/**
* Create a Double Literal expression.
*/
override def visitDoubleLiteral(ctx: DoubleLiteralContext): Literal = {
val rawStrippedQualifier = ctx.getText.substring(0, ctx.getText.length - 1)
numericLiteral(ctx, rawStrippedQualifier,
Double.MinValue, Double.MaxValue, DoubleType.simpleString)(_.toDouble)
}
/**
* Create a BigDecimal Literal expression.
*/
override def visitBigDecimalLiteral(ctx: BigDecimalLiteralContext): Literal = {
val raw = ctx.getText.substring(0, ctx.getText.length - 2)
try {
Literal(BigDecimal(raw).underlying())
} catch {
case e: AnalysisException =>
throw new ParseException(e.message, ctx)
}
}
/**
* Create a String literal expression.
*/
override def visitStringLiteral(ctx: StringLiteralContext): Literal = withOrigin(ctx) {
Literal(createString(ctx))
}
/**
* Create a String from a string literal context. This supports multiple consecutive string
* literals, these are concatenated, for example this expression "'hello' 'world'" will be
* converted into "helloworld".
*
* Special characters can be escaped by using Hive/C-style escaping.
*/
private def createString(ctx: StringLiteralContext): String = {
if (conf.escapedStringLiterals) {
ctx.STRING().asScala.map(stringWithoutUnescape).mkString
} else {
ctx.STRING().asScala.map(string).mkString
}
}
/**
* Create a [[CalendarInterval]] literal expression. Two syntaxes are supported:
* - multiple unit value pairs, for instance: interval 2 months 2 days.
* - from-to unit, for instance: interval '1-2' year to month.
*/
override def visitInterval(ctx: IntervalContext): Literal = withOrigin(ctx) {
Literal(parseIntervalLiteral(ctx), CalendarIntervalType)
}
/**
* Create a [[CalendarInterval]] object
*/
protected def parseIntervalLiteral(ctx: IntervalContext): CalendarInterval = withOrigin(ctx) {
if (ctx.errorCapturingMultiUnitsInterval != null) {
val innerCtx = ctx.errorCapturingMultiUnitsInterval
if (innerCtx.unitToUnitInterval != null) {
throw new ParseException(
"Can only have a single from-to unit in the interval literal syntax",
innerCtx.unitToUnitInterval)
}
visitMultiUnitsInterval(innerCtx.multiUnitsInterval)
} else if (ctx.errorCapturingUnitToUnitInterval != null) {
val innerCtx = ctx.errorCapturingUnitToUnitInterval
if (innerCtx.error1 != null || innerCtx.error2 != null) {
val errorCtx = if (innerCtx.error1 != null) innerCtx.error1 else innerCtx.error2
throw new ParseException(
"Can only have a single from-to unit in the interval literal syntax",
errorCtx)
}
visitUnitToUnitInterval(innerCtx.body)
} else {
throw new ParseException("at least one time unit should be given for interval literal", ctx)
}
}
/**
* Creates a [[CalendarInterval]] with multiple unit value pairs, e.g. 1 YEAR 2 DAYS.
*/
override def visitMultiUnitsInterval(ctx: MultiUnitsIntervalContext): CalendarInterval = {
withOrigin(ctx) {
val units = ctx.unit.asScala
val values = ctx.intervalValue().asScala
try {
assert(units.length == values.length)
val kvs = units.indices.map { i =>
val u = units(i).getText
val v = if (values(i).STRING() != null) {
val value = string(values(i).STRING())
// SPARK-32840: For invalid cases, e.g. INTERVAL '1 day 2' hour,
// INTERVAL 'interval 1' day, we need to check ahead before they are concatenated with
// units and become valid ones, e.g. '1 day 2 hour'.
// Ideally, we only ensure the value parts don't contain any units here.
if (value.exists(Character.isLetter)) {
throw new ParseException("Can only use numbers in the interval value part for" +
s" multiple unit value pairs interval form, but got invalid value: $value", ctx)
}
value
} else {
values(i).getText
}
UTF8String.fromString(" " + v + " " + u)
}
IntervalUtils.stringToInterval(UTF8String.concat(kvs: _*))
} catch {
case i: IllegalArgumentException =>
val e = new ParseException(i.getMessage, ctx)
e.setStackTrace(i.getStackTrace)
throw e
}
}
}
/**
* Creates a [[CalendarInterval]] with from-to unit, e.g. '2-1' YEAR TO MONTH.
*/
override def visitUnitToUnitInterval(ctx: UnitToUnitIntervalContext): CalendarInterval = {
withOrigin(ctx) {
val value = Option(ctx.intervalValue.STRING).map(string).getOrElse {
throw new ParseException("The value of from-to unit must be a string", ctx.intervalValue)
}
try {
val from = ctx.from.getText.toLowerCase(Locale.ROOT)
val to = ctx.to.getText.toLowerCase(Locale.ROOT)
(from, to) match {
case ("year", "month") =>
IntervalUtils.fromYearMonthString(value)
case ("day", "hour") =>
IntervalUtils.fromDayTimeString(value, IntervalUnit.DAY, IntervalUnit.HOUR)
case ("day", "minute") =>
IntervalUtils.fromDayTimeString(value, IntervalUnit.DAY, IntervalUnit.MINUTE)
case ("day", "second") =>
IntervalUtils.fromDayTimeString(value, IntervalUnit.DAY, IntervalUnit.SECOND)
case ("hour", "minute") =>
IntervalUtils.fromDayTimeString(value, IntervalUnit.HOUR, IntervalUnit.MINUTE)
case ("hour", "second") =>
IntervalUtils.fromDayTimeString(value, IntervalUnit.HOUR, IntervalUnit.SECOND)
case ("minute", "second") =>
IntervalUtils.fromDayTimeString(value, IntervalUnit.MINUTE, IntervalUnit.SECOND)
case _ =>
throw new ParseException(s"Intervals FROM $from TO $to are not supported.", ctx)
}
} catch {
// Handle Exceptions thrown by CalendarInterval
case e: IllegalArgumentException =>
val pe = new ParseException(e.getMessage, ctx)
pe.setStackTrace(e.getStackTrace)
throw pe
}
}
}
/* ********************************************************************************************
* DataType parsing
* ******************************************************************************************** */
/**
* Resolve/create a primitive type.
*/
override def visitPrimitiveDataType(ctx: PrimitiveDataTypeContext): DataType = withOrigin(ctx) {
val dataType = ctx.identifier.getText.toLowerCase(Locale.ROOT)
(dataType, ctx.INTEGER_VALUE().asScala.toList) match {
case ("boolean", Nil) => BooleanType
case ("tinyint" | "byte", Nil) => ByteType
case ("smallint" | "short", Nil) => ShortType
case ("int" | "integer", Nil) => IntegerType
case ("bigint" | "long", Nil) => LongType
case ("float" | "real", Nil) => FloatType
case ("double", Nil) => DoubleType
case ("date", Nil) => DateType
case ("timestamp", Nil) => TimestampType
case ("string", Nil) => StringType
case ("character" | "char", length :: Nil) => CharType(length.getText.toInt)
case ("varchar", length :: Nil) => VarcharType(length.getText.toInt)
case ("binary", Nil) => BinaryType
case ("decimal" | "dec" | "numeric", Nil) => DecimalType.USER_DEFAULT
case ("decimal" | "dec" | "numeric", precision :: Nil) =>
DecimalType(precision.getText.toInt, 0)
case ("decimal" | "dec" | "numeric", precision :: scale :: Nil) =>
DecimalType(precision.getText.toInt, scale.getText.toInt)
case ("void", Nil) => NullType
case ("interval", Nil) => CalendarIntervalType
case (dt, params) =>
val dtStr = if (params.nonEmpty) s"$dt(${params.mkString(",")})" else dt
throw new ParseException(s"DataType $dtStr is not supported.", ctx)
}
}
/**
* Create a complex DataType. Arrays, Maps and Structures are supported.
*/
override def visitComplexDataType(ctx: ComplexDataTypeContext): DataType = withOrigin(ctx) {
ctx.complex.getType match {
case ArcticExtendSparkSqlParser.ARRAY =>
ArrayType(typedVisit(ctx.dataType(0)))
case ArcticExtendSparkSqlParser.MAP =>
MapType(typedVisit(ctx.dataType(0)), typedVisit(ctx.dataType(1)))
case ArcticExtendSparkSqlParser.STRUCT =>
StructType(Option(ctx.complexColTypeList).toSeq.flatMap(visitComplexColTypeList))
}
}
/**
* Create top level table schema.
*/
protected def createSchema(ctx: ColTypeListContext): StructType = {
StructType(Option(ctx).toSeq.flatMap(visitColTypeList))
}
/**
* Create a [[StructType]] from a number of column definitions.
*/
override def visitColTypeList(ctx: ColTypeListContext): Seq[StructField] = withOrigin(ctx) {
ctx.colType().asScala.map(visitColType).toSeq
}
/**
* Create a top level [[StructField]] from a column definition.
*/
override def visitColType(ctx: ColTypeContext): StructField = withOrigin(ctx) {
import ctx._
val builder = new MetadataBuilder
// Add comment to metadata
Option(commentSpec()).map(visitCommentSpec).foreach {
builder.putString("comment", _)
}
StructField(
name = colName.getText,
dataType = typedVisit[DataType](ctx.dataType),
nullable = NULL == null,
metadata = builder.build())
}
/**
* Create a [[StructType]] from a sequence of [[StructField]]s.
*/
protected def createStructType(ctx: ComplexColTypeListContext): StructType = {
StructType(Option(ctx).toSeq.flatMap(visitComplexColTypeList))
}
/**
* Create a [[StructType]] from a number of column definitions.
*/
override def visitComplexColTypeList(
ctx: ComplexColTypeListContext): Seq[StructField] = withOrigin(ctx) {
ctx.complexColType().asScala.map(visitComplexColType).toSeq
}
/**
* Create a [[StructField]] from a column definition.
*/
override def visitComplexColType(ctx: ComplexColTypeContext): StructField = withOrigin(ctx) {
import ctx._
val structField = StructField(
name = identifier.getText,
dataType = typedVisit(dataType()),
nullable = NULL == null)
Option(commentSpec).map(visitCommentSpec).map(structField.withComment).getOrElse(structField)
}
/**
* Create a location string.
*/
override def visitLocationSpec(ctx: LocationSpecContext): String = withOrigin(ctx) {
string(ctx.STRING)
}
/**
* Create an optional location string.
*/
protected def visitLocationSpecList(ctx: java.util.List[ArcticExtendSparkSqlParser.LocationSpecContext]): Option[String] = {
ctx.asScala.headOption.map(visitLocationSpec)
}
/**
* Create a comment string.
*/
override def visitCommentSpec(ctx: CommentSpecContext): String = withOrigin(ctx) {
string(ctx.STRING)
}
/**
* Create an optional comment string.
*/
protected def visitCommentSpecList(ctx: java.util.List[ArcticExtendSparkSqlParser.CommentSpecContext]): Option[String] = {
ctx.asScala.headOption.map(visitCommentSpec)
}
/**
* Create a [[BucketSpec]].
*/
override def visitBucketSpec(ctx: BucketSpecContext): BucketSpec = withOrigin(ctx) {
BucketSpec(
ctx.INTEGER_VALUE.getText.toInt,
visitIdentifierList(ctx.identifierList),
Option(ctx.orderedIdentifierList)
.toSeq
.flatMap(_.orderedIdentifier.asScala)
.map { orderedIdCtx =>
Option(orderedIdCtx.ordering).map(_.getText).foreach { dir =>
if (dir.toLowerCase(Locale.ROOT) != "asc") {
operationNotAllowed(s"Column ordering must be ASC, was '$dir'", ctx)
}
}
orderedIdCtx.ident.getText
})
}
/**
* Convert a table property list into a key-value map.
* This should be called through [[visitPropertyKeyValues]] or [[visitPropertyKeys]].
*/
override def visitTablePropertyList(
ctx: TablePropertyListContext): Map[String, String] = withOrigin(ctx) {
val properties = ctx.tableProperty.asScala.map { property =>
val key = visitTablePropertyKey(property.key)
val value = visitTablePropertyValue(property.value)
key -> value
}
// Check for duplicate property names.
checkDuplicateKeys(properties.toSeq, ctx)
properties.toMap
}
/**
* Parse a key-value map from a [[TablePropertyListContext]], assuming all values are specified.
*/
def visitPropertyKeyValues(ctx: TablePropertyListContext): Map[String, String] = {
val props = visitTablePropertyList(ctx)
val badKeys = props.collect { case (key, null) => key }
if (badKeys.nonEmpty) {
operationNotAllowed(
s"Values must be specified for key(s): ${badKeys.mkString("[", ",", "]")}", ctx)
}
props
}
/**
* Parse a list of keys from a [[TablePropertyListContext]], assuming no values are specified.
*/
def visitPropertyKeys(ctx: TablePropertyListContext): Seq[String] = {
val props = visitTablePropertyList(ctx)
val badKeys = props.filter { case (_, v) => v != null }.keys
if (badKeys.nonEmpty) {
operationNotAllowed(
s"Values should not be specified for key(s): ${badKeys.mkString("[", ",", "]")}", ctx)
}
props.keys.toSeq
}
/**
* A table property key can either be String or a collection of dot separated elements. This
* function extracts the property key based on whether its a string literal or a table property
* identifier.
*/
override def visitTablePropertyKey(key: TablePropertyKeyContext): String = {
if (key.STRING != null) {
string(key.STRING)
} else {
key.getText
}
}
/**
* A table property value can be String, Integer, Boolean or Decimal. This function extracts
* the property value based on whether its a string, integer, boolean or decimal literal.
*/
override def visitTablePropertyValue(value: TablePropertyValueContext): String = {
if (value == null) {
null
} else if (value.STRING != null) {
string(value.STRING)
} else if (value.booleanValue != null) {
value.getText.toLowerCase(Locale.ROOT)
} else {
value.getText
}
}
/**
* Type to keep track of a table header: (identifier, isTemporary, ifNotExists, isExternal).
*/
type TableHeader = (Seq[String], Boolean, Boolean, Boolean)
/**
* Validate a create table statement and return the [[TableIdentifier]].
*/
override def visitCreateTableHeader(
ctx: CreateTableHeaderContext): TableHeader = withOrigin(ctx) {
val temporary = ctx.TEMPORARY != null
val ifNotExists = ctx.EXISTS != null
if (temporary && ifNotExists) {
operationNotAllowed("CREATE TEMPORARY TABLE ... IF NOT EXISTS", ctx)
}
val multipartIdentifier = ctx.multipartIdentifier.parts.asScala.map(_.getText).toSeq
(multipartIdentifier, temporary, ifNotExists, ctx.EXTERNAL != null)
}
/**
* Validate a replace table statement and return the [[TableIdentifier]].
*/
override def visitReplaceTableHeader(
ctx: ReplaceTableHeaderContext): TableHeader = withOrigin(ctx) {
val multipartIdentifier = ctx.multipartIdentifier.parts.asScala.map(_.getText).toSeq
(multipartIdentifier, false, false, false)
}
/**
* Parse a qualified name to a multipart name.
*/
override def visitQualifiedName(ctx: QualifiedNameContext): Seq[String] = withOrigin(ctx) {
ctx.identifier.asScala.map(_.getText).toSeq
}
/**
* Parse a list of transforms or columns.
*/
override def visitPartitionFieldList(
ctx: PartitionFieldListContext): (Seq[Transform], Seq[StructField]) = withOrigin(ctx) {
val (transforms, columns) = ctx.fields.asScala.map {
case transform: PartitionTransformContext =>
(Some(visitPartitionTransform(transform)), None)
case field: PartitionColumnContext =>
(None, Some(visitColType(field.colType)))
}.unzip
(transforms.flatten.toSeq, columns.flatten.toSeq)
}
override def visitPartitionTransform(
ctx: PartitionTransformContext): Transform = withOrigin(ctx) {
def getFieldReference(
ctx: ApplyTransformContext,
arg: V2Expression): FieldReference = {
lazy val name: String = ctx.identifier.getText
arg match {
case ref: FieldReference =>
ref
case nonRef =>
throw new ParseException(
s"Expected a column reference for transform $name: ${nonRef.describe}", ctx)
}
}
def getSingleFieldReference(
ctx: ApplyTransformContext,
arguments: Seq[V2Expression]): FieldReference = {
lazy val name: String = ctx.identifier.getText
if (arguments.size > 1) {
throw new ParseException(s"Too many arguments for transform $name", ctx)
} else if (arguments.isEmpty) {
throw new ParseException(s"Not enough arguments for transform $name", ctx)
} else {
getFieldReference(ctx, arguments.head)
}
}
ctx.transform match {
case identityCtx: IdentityTransformContext =>
IdentityTransform(FieldReference(typedVisit[Seq[String]](identityCtx.qualifiedName)))
case applyCtx: ApplyTransformContext =>
val arguments = applyCtx.argument.asScala.map(visitTransformArgument).toSeq
applyCtx.identifier.getText match {
case "bucket" =>
val numBuckets: Int = arguments.head match {
case LiteralValue(shortValue, ShortType) =>
shortValue.asInstanceOf[Short].toInt
case LiteralValue(intValue, IntegerType) =>
intValue.asInstanceOf[Int]
case LiteralValue(longValue, LongType) =>
longValue.asInstanceOf[Long].toInt
case lit =>
throw new ParseException(s"Invalid number of buckets: ${lit.describe}", applyCtx)
}
val fields = arguments.tail.map(arg => getFieldReference(applyCtx, arg))
BucketTransform(LiteralValue(numBuckets, IntegerType), fields.toSeq)
case "years" =>
YearsTransform(getSingleFieldReference(applyCtx, arguments))
case "months" =>
MonthsTransform(getSingleFieldReference(applyCtx, arguments))
case "days" =>
DaysTransform(getSingleFieldReference(applyCtx, arguments))
case "hours" =>
HoursTransform(getSingleFieldReference(applyCtx, arguments))
case name =>
ApplyTransform(name, arguments)
}
}
}
/**
* Parse an argument to a transform. An argument may be a field reference (qualified name) or
* a value literal.
*/
override def visitTransformArgument(ctx: TransformArgumentContext): V2Expression = {
withOrigin(ctx) {
val reference = Option(ctx.qualifiedName)
.map(typedVisit[Seq[String]])
.map(FieldReference(_))
val literal = Option(ctx.constant)
.map(typedVisit[Literal])
.map(lit => LiteralValue(lit.value, lit.dataType))
reference.orElse(literal)
.getOrElse(throw new ParseException(s"Invalid transform argument", ctx))
}
}
private def cleanNamespaceProperties(
properties: Map[String, String],
ctx: ParserRuleContext): Map[String, String] = withOrigin(ctx) {
import SupportsNamespaces._
val legacyOn = conf.getConf(SQLConf.LEGACY_PROPERTY_NON_RESERVED)
properties.filter {
case (PROP_LOCATION, _) if !legacyOn =>
throw new ParseException(s"$PROP_LOCATION is a reserved namespace property, please use" +
s" the LOCATION clause to specify it.", ctx)
case (PROP_LOCATION, _) => false
case (PROP_OWNER, _) if !legacyOn =>
throw new ParseException(s"$PROP_OWNER is a reserved namespace property, it will be" +
s" set to the current user.", ctx)
case (PROP_OWNER, _) => false
case _ => true
}
}
/**
* Create a [[CreateNamespaceStatement]] command.
*
* For example:
* {{{
* CREATE NAMESPACE [IF NOT EXISTS] ns1.ns2.ns3
* create_namespace_clauses;
*
* create_namespace_clauses (order insensitive):
* [COMMENT namespace_comment]
* [LOCATION path]
* [WITH PROPERTIES (key1=val1, key2=val2, ...)]
* }}}
*/
override def visitCreateNamespace(ctx: CreateNamespaceContext): LogicalPlan = withOrigin(ctx) {
import SupportsNamespaces._
checkDuplicateClauses(ctx.commentSpec(), "COMMENT", ctx)
checkDuplicateClauses(ctx.locationSpec, "LOCATION", ctx)
checkDuplicateClauses(ctx.PROPERTIES, "WITH PROPERTIES", ctx)
checkDuplicateClauses(ctx.DBPROPERTIES, "WITH DBPROPERTIES", ctx)
if (!ctx.PROPERTIES.isEmpty && !ctx.DBPROPERTIES.isEmpty) {
throw new ParseException(s"Either PROPERTIES or DBPROPERTIES is allowed.", ctx)
}
var properties = ctx.tablePropertyList.asScala.headOption
.map(visitPropertyKeyValues)
.getOrElse(Map.empty)
properties = cleanNamespaceProperties(properties, ctx)
visitCommentSpecList(ctx.commentSpec()).foreach {
properties += PROP_COMMENT -> _
}
visitLocationSpecList(ctx.locationSpec()).foreach {
properties += PROP_LOCATION -> _
}
CreateNamespaceStatement(
visitMultipartIdentifier(ctx.multipartIdentifier),
ctx.EXISTS != null,
properties)
}
/**
* Create a [[DropNamespace]] command.
*
* For example:
* {{{
* DROP (DATABASE|SCHEMA|NAMESPACE) [IF EXISTS] ns1.ns2 [RESTRICT|CASCADE];
* }}}
*/
override def visitDropNamespace(ctx: DropNamespaceContext): LogicalPlan = withOrigin(ctx) {
DropNamespace(
UnresolvedNamespace(visitMultipartIdentifier(ctx.multipartIdentifier)),
ctx.EXISTS != null,
ctx.CASCADE != null)
}
/**
* Create an [[AlterNamespaceSetProperties]] logical plan.
*
* For example:
* {{{
* ALTER (DATABASE|SCHEMA|NAMESPACE) database
* SET (DBPROPERTIES|PROPERTIES) (property_name=property_value, ...);
* }}}
*/
override def visitSetNamespaceProperties(ctx: SetNamespacePropertiesContext): LogicalPlan = {
withOrigin(ctx) {
val properties = cleanNamespaceProperties(visitPropertyKeyValues(ctx.tablePropertyList), ctx)
AlterNamespaceSetProperties(
UnresolvedNamespace(visitMultipartIdentifier(ctx.multipartIdentifier)),
properties)
}
}
/**
* Create an [[AlterNamespaceSetLocation]] logical plan.
*
* For example:
* {{{
* ALTER (DATABASE|SCHEMA|NAMESPACE) namespace SET LOCATION path;
* }}}
*/
override def visitSetNamespaceLocation(ctx: SetNamespaceLocationContext): LogicalPlan = {
withOrigin(ctx) {
AlterNamespaceSetLocation(
UnresolvedNamespace(visitMultipartIdentifier(ctx.multipartIdentifier)),
visitLocationSpec(ctx.locationSpec))
}
}
/**
* Create a [[ShowNamespaces]] command.
*/
override def visitShowNamespaces(ctx: ShowNamespacesContext): LogicalPlan = withOrigin(ctx) {
if (ctx.DATABASES != null && ctx.multipartIdentifier != null) {
throw new ParseException(s"FROM/IN operator is not allowed in SHOW DATABASES", ctx)
}
val multiPart = Option(ctx.multipartIdentifier).map(visitMultipartIdentifier)
ShowNamespaces(
UnresolvedNamespace(multiPart.getOrElse(Seq.empty[String])),
Option(ctx.pattern).map(string))
}
/**
* Create a [[DescribeNamespace]].
*
* For example:
* {{{
* DESCRIBE (DATABASE|SCHEMA|NAMESPACE) [EXTENDED] database;
* }}}
*/
override def visitDescribeNamespace(ctx: DescribeNamespaceContext): LogicalPlan =
withOrigin(ctx) {
DescribeNamespace(
UnresolvedNamespace(visitMultipartIdentifier(ctx.multipartIdentifier())),
ctx.EXTENDED != null)
}
def cleanTableProperties(
ctx: ParserRuleContext, properties: Map[String, String]): Map[String, String] = {
import TableCatalog._
val legacyOn = conf.getConf(SQLConf.LEGACY_PROPERTY_NON_RESERVED)
properties.filter {
case (PROP_PROVIDER, _) if !legacyOn =>
throw new ParseException(s"$PROP_PROVIDER is a reserved table property, please use" +
s" the USING clause to specify it.", ctx)
case (PROP_PROVIDER, _) => false
case (PROP_LOCATION, _) if !legacyOn =>
throw new ParseException(s"$PROP_LOCATION is a reserved table property, please use" +
s" the LOCATION clause to specify it.", ctx)
case (PROP_LOCATION, _) => false
case (PROP_OWNER, _) if !legacyOn =>
throw new ParseException(s"$PROP_OWNER is a reserved table property, it will be" +
s" set to the current user", ctx)
case (PROP_OWNER, _) => false
case _ => true
}
}
def cleanTableOptions(
ctx: ParserRuleContext,
options: Map[String, String],
location: Option[String]): (Map[String, String], Option[String]) = {
var path = location
val filtered = cleanTableProperties(ctx, options).filter {
case (k, v) if k.equalsIgnoreCase("path") && path.nonEmpty =>
throw new ParseException(s"Duplicated table paths found: '${path.get}' and '$v'. LOCATION" +
s" and the case insensitive key 'path' in OPTIONS are all used to indicate the custom" +
s" table path, you can only specify one of them.", ctx)
case (k, v) if k.equalsIgnoreCase("path") =>
path = Some(v)
false
case _ => true
}
(filtered, path)
}
/**
* Create a [[SerdeInfo]] for creating tables.
*
* Format: STORED AS (name | INPUTFORMAT input_format OUTPUTFORMAT output_format)
*/
override def visitCreateFileFormat(ctx: CreateFileFormatContext): SerdeInfo = withOrigin(ctx) {
(ctx.fileFormat, ctx.storageHandler) match {
// Expected format: INPUTFORMAT input_format OUTPUTFORMAT output_format
case (c: TableFileFormatContext, null) =>
SerdeInfo(formatClasses = Some(FormatClasses(string(c.inFmt), string(c.outFmt))))
// Expected format: SEQUENCEFILE | TEXTFILE | RCFILE | ORC | PARQUET | AVRO
case (c: GenericFileFormatContext, null) =>
SerdeInfo(storedAs = Some(c.identifier.getText))
case (null, storageHandler) =>
operationNotAllowed("STORED BY", ctx)
case _ =>
throw new ParseException("Expected either STORED AS or STORED BY, not both", ctx)
}
}
/**
* Create a [[SerdeInfo]] used for creating tables.
*
* Example format:
* {{{
* SERDE serde_name [WITH SERDEPROPERTIES (k1=v1, k2=v2, ...)]
* }}}
*
* OR
*
* {{{
* DELIMITED [FIELDS TERMINATED BY char [ESCAPED BY char]]
* [COLLECTION ITEMS TERMINATED BY char]
* [MAP KEYS TERMINATED BY char]
* [LINES TERMINATED BY char]
* [NULL DEFINED AS char]
* }}}
*/
def visitRowFormat(ctx: RowFormatContext): SerdeInfo = withOrigin(ctx) {
ctx match {
case serde: RowFormatSerdeContext => visitRowFormatSerde(serde)
case delimited: RowFormatDelimitedContext => visitRowFormatDelimited(delimited)
}
}
/**
* Create SERDE row format name and properties pair.
*/
override def visitRowFormatSerde(ctx: RowFormatSerdeContext): SerdeInfo = withOrigin(ctx) {
import ctx._
SerdeInfo(
serde = Some(string(name)),
serdeProperties = Option(tablePropertyList).map(visitPropertyKeyValues).getOrElse(Map.empty))
}
/**
* Create a delimited row format properties object.
*/
override def visitRowFormatDelimited(
ctx: RowFormatDelimitedContext): SerdeInfo = withOrigin(ctx) {
// Collect the entries if any.
def entry(key: String, value: Token): Seq[(String, String)] = {
Option(value).toSeq.map(x => key -> string(x))
}
// TODO we need proper support for the NULL format.
val entries =
entry("field.delim", ctx.fieldsTerminatedBy) ++
entry("serialization.format", ctx.fieldsTerminatedBy) ++
entry("escape.delim", ctx.escapedBy) ++
// The following typo is inherited from Hive...
entry("colelction.delim", ctx.collectionItemsTerminatedBy) ++
entry("mapkey.delim", ctx.keysTerminatedBy) ++
Option(ctx.linesSeparatedBy).toSeq.map { token =>
val value = string(token)
validate(
value == "\n",
s"LINES TERMINATED BY only supports newline '\\n' right now: $value",
ctx)
"line.delim" -> value
}
SerdeInfo(serdeProperties = entries.toMap)
}
/**
* Throw a [[ParseException]] if the user specified incompatible SerDes through ROW FORMAT
* and STORED AS.
*
* The following are allowed. Anything else is not:
* ROW FORMAT SERDE ... STORED AS [SEQUENCEFILE | RCFILE | TEXTFILE]
* ROW FORMAT DELIMITED ... STORED AS TEXTFILE
* ROW FORMAT ... STORED AS INPUTFORMAT ... OUTPUTFORMAT ...
*/
protected def validateRowFormatFileFormat(
rowFormatCtx: RowFormatContext,
createFileFormatCtx: CreateFileFormatContext,
parentCtx: ParserRuleContext): Unit = {
if (rowFormatCtx == null || createFileFormatCtx == null) {
return
}
(rowFormatCtx, createFileFormatCtx.fileFormat) match {
case (_, ffTable: TableFileFormatContext) => // OK
case (rfSerde: ArcticExtendSparkSqlParser.RowFormatSerdeContext, ffGeneric: GenericFileFormatContext) =>
ffGeneric.identifier.getText.toLowerCase(Locale.ROOT) match {
case ("sequencefile" | "textfile" | "rcfile") => // OK
case fmt =>
operationNotAllowed(
s"ROW FORMAT SERDE is incompatible with format '$fmt', which also specifies a serde",
parentCtx)
}
case (rfDelimited: ArcticExtendSparkSqlParser.RowFormatDelimitedContext, ffGeneric: ArcticExtendSparkSqlParser.GenericFileFormatContext) =>
ffGeneric.identifier.getText.toLowerCase(Locale.ROOT) match {
case "textfile" => // OK
case fmt => operationNotAllowed(
s"ROW FORMAT DELIMITED is only compatible with 'textfile', not '$fmt'", parentCtx)
}
case _ =>
// should never happen
def str(ctx: ParserRuleContext): String = {
(0 until ctx.getChildCount).map { i => ctx.getChild(i).getText }.mkString(" ")
}
operationNotAllowed(
s"Unexpected combination of ${str(rowFormatCtx)} and ${str(createFileFormatCtx)}",
parentCtx)
}
}
protected def validateRowFormatFileFormat(
rowFormatCtx: Seq[ArcticExtendSparkSqlParser.RowFormatContext],
createFileFormatCtx: Seq[CreateFileFormatContext],
parentCtx: ParserRuleContext): Unit = {
if (rowFormatCtx.size == 1 && createFileFormatCtx.size == 1) {
validateRowFormatFileFormat(rowFormatCtx.head, createFileFormatCtx.head, parentCtx)
}
}
protected def getSerdeInfo(
rowFormatCtx: Seq[RowFormatContext],
createFileFormatCtx: Seq[CreateFileFormatContext],
ctx: ParserRuleContext,
skipCheck: Boolean = false): Option[SerdeInfo] = {
if (!skipCheck) validateRowFormatFileFormat(rowFormatCtx, createFileFormatCtx, ctx)
val rowFormatSerdeInfo = rowFormatCtx.map(visitRowFormat)
val fileFormatSerdeInfo = createFileFormatCtx.map(visitCreateFileFormat)
(fileFormatSerdeInfo ++ rowFormatSerdeInfo).reduceLeftOption((l, r) => l.merge(r))
}
private def partitionExpressions(
partTransforms: Seq[Transform],
partCols: Seq[StructField],
ctx: ParserRuleContext): Seq[Transform] = {
if (partTransforms.nonEmpty) {
if (partCols.nonEmpty) {
val references = partTransforms.map(_.describe()).mkString(", ")
val columns = partCols
.map(field => s"${field.name} ${field.dataType.simpleString}")
.mkString(", ")
operationNotAllowed(
s"""PARTITION BY: Cannot mix partition expressions and partition columns:
|Expressions: $references
|Columns: $columns""".stripMargin, ctx)
}
partTransforms
} else {
// columns were added to create the schema. convert to column references
partCols.map { column =>
IdentityTransform(FieldReference(Seq(column.name)))
}
}
}
/**
* Replace a table, returning a [[ReplaceTableStatement]] logical plan.
*
* Expected format:
* {{{
* [CREATE OR] REPLACE TABLE [db_name.]table_name
* [USING table_provider]
* replace_table_clauses
* [[AS] select_statement];
*
* replace_table_clauses (order insensitive):
* [OPTIONS table_property_list]
* [PARTITIONED BY (partition_fields)]
* [CLUSTERED BY (col_name, col_name, ...)
* [SORTED BY (col_name [ASC|DESC], ...)]
* INTO num_buckets BUCKETS
* ]
* [LOCATION path]
* [COMMENT table_comment]
* [TBLPROPERTIES (property_name=property_value, ...)]
*
* partition_fields:
* col_name, transform(col_name), transform(constant, col_name), ... |
* col_name data_type [NOT NULL] [COMMENT col_comment], ...
* }}}
*/
override def visitReplaceTable(ctx: ReplaceTableContext): LogicalPlan = withOrigin(ctx) {
val (table, temp, ifNotExists, external) = visitReplaceTableHeader(ctx.replaceTableHeader)
val orCreate = ctx.replaceTableHeader().CREATE() != null
if (temp) {
val action = if (orCreate) "CREATE OR REPLACE" else "REPLACE"
operationNotAllowed(s"$action TEMPORARY TABLE ..., use $action TEMPORARY VIEW instead.", ctx)
}
if (external) {
operationNotAllowed("REPLACE EXTERNAL TABLE ...", ctx)
}
if (ifNotExists) {
operationNotAllowed("REPLACE ... IF NOT EXISTS, use CREATE IF NOT EXISTS instead", ctx)
}
val (partTransforms, partCols, bucketSpec, properties, options, location, comment, serdeInfo) =
visitCreateTableClauses(ctx.createTableClauses())
val columns = Option(ctx.colTypeList()).map(visitColTypeList).getOrElse(Nil)
val provider = Option(ctx.tableProvider).map(_.multipartIdentifier.getText)
if (provider.isDefined && serdeInfo.isDefined) {
operationNotAllowed(s"CREATE TABLE ... USING ... ${serdeInfo.get.describe}", ctx)
}
val partitioning = partitionExpressions(partTransforms, partCols, ctx)
Option(ctx.query).map(plan) match {
case Some(_) if columns.nonEmpty =>
operationNotAllowed(
"Schema may not be specified in a Replace Table As Select (RTAS) statement",
ctx)
case Some(_) if partCols.nonEmpty =>
// non-reference partition columns are not allowed because schema can't be specified
operationNotAllowed(
"Partition column types may not be specified in Replace Table As Select (RTAS)",
ctx)
case Some(query) =>
ReplaceTableAsSelectStatement(table, query, partitioning, bucketSpec, properties,
provider, options, location, comment, writeOptions = Map.empty, serdeInfo,
orCreate = orCreate)
case _ =>
// Note: table schema includes both the table columns list and the partition columns
// with data type.
val schema = StructType(columns ++ partCols)
ReplaceTableStatement(table, schema, partitioning, bucketSpec, properties, provider,
options, location, comment, serdeInfo, orCreate = orCreate)
}
}
/**
* Create a [[DropTable]] command.
*/
override def visitDropTable(ctx: DropTableContext): LogicalPlan = withOrigin(ctx) {
// DROP TABLE works with either a table or a temporary view.
DropTable(
UnresolvedTableOrView(visitMultipartIdentifier(ctx.multipartIdentifier()), "DROP TABLE"),
ctx.EXISTS != null,
ctx.PURGE != null)
}
/**
* Create a [[DropViewStatement]] command.
*/
override def visitDropView(ctx: DropViewContext): AnyRef = withOrigin(ctx) {
DropViewStatement(
visitMultipartIdentifier(ctx.multipartIdentifier()),
ctx.EXISTS != null)
}
/**
* Create a [[UseStatement]] logical plan.
*/
override def visitUse(ctx: UseContext): LogicalPlan = withOrigin(ctx) {
val nameParts = visitMultipartIdentifier(ctx.multipartIdentifier)
UseStatement(ctx.NAMESPACE != null, nameParts)
}
/**
* Create a [[ShowCurrentNamespaceStatement]].
*/
override def visitShowCurrentNamespace(
ctx: ShowCurrentNamespaceContext) : LogicalPlan = withOrigin(ctx) {
ShowCurrentNamespaceStatement()
}
/**
* Create a [[ShowTables]] command.
*/
override def visitShowTables(ctx: ShowTablesContext): LogicalPlan = withOrigin(ctx) {
val multiPart = Option(ctx.multipartIdentifier).map(visitMultipartIdentifier)
ShowTables(
UnresolvedNamespace(multiPart.getOrElse(Seq.empty[String])),
Option(ctx.pattern).map(string))
}
/**
* Create a [[ShowViews]] command.
*/
override def visitShowViews(ctx: ShowViewsContext): LogicalPlan = withOrigin(ctx) {
val multiPart = Option(ctx.multipartIdentifier).map(visitMultipartIdentifier)
ShowViews(
UnresolvedNamespace(multiPart.getOrElse(Seq.empty[String])),
Option(ctx.pattern).map(string))
}
override def visitColPosition(ctx: ColPositionContext): ColumnPosition = {
ctx.position.getType match {
case ArcticExtendSparkSqlParser.FIRST => ColumnPosition.first()
case ArcticExtendSparkSqlParser.AFTER => ColumnPosition.after(ctx.afterCol.getText)
}
}
/**
* Parse new column info from ADD COLUMN into a QualifiedColType.
*/
override def visitQualifiedColTypeWithPosition(
ctx: QualifiedColTypeWithPositionContext): QualifiedColType = withOrigin(ctx) {
QualifiedColType(
name = typedVisit[Seq[String]](ctx.name),
dataType = typedVisit[DataType](ctx.dataType),
nullable = ctx.NULL == null,
comment = Option(ctx.commentSpec()).map(visitCommentSpec),
position = Option(ctx.colPosition).map(typedVisit[ColumnPosition]))
}
/**
* Parse a [[AlterTableAddColumnsStatement]] command.
*
* For example:
* {{{
* ALTER TABLE table1
* ADD COLUMNS (col_name data_type [COMMENT col_comment], ...);
* }}}
*/
override def visitAddTableColumns(ctx: AddTableColumnsContext): LogicalPlan = withOrigin(ctx) {
AlterTableAddColumnsStatement(
visitMultipartIdentifier(ctx.multipartIdentifier),
ctx.columns.qualifiedColTypeWithPosition.asScala.map(typedVisit[QualifiedColType]).toSeq
)
}
/**
* Parse a [[AlterTableRenameColumnStatement]] command.
*
* For example:
* {{{
* ALTER TABLE table1 RENAME COLUMN a.b.c TO x
* }}}
*/
override def visitRenameTableColumn(
ctx: RenameTableColumnContext): LogicalPlan = withOrigin(ctx) {
AlterTableRenameColumnStatement(
visitMultipartIdentifier(ctx.table),
ctx.from.parts.asScala.map(_.getText).toSeq,
ctx.to.getText)
}
/**
* Parse a [[AlterTableAlterColumnStatement]] command to alter a column's property.
*
* For example:
* {{{
* ALTER TABLE table1 ALTER COLUMN a.b.c TYPE bigint
* ALTER TABLE table1 ALTER COLUMN a.b.c SET NOT NULL
* ALTER TABLE table1 ALTER COLUMN a.b.c DROP NOT NULL
* ALTER TABLE table1 ALTER COLUMN a.b.c COMMENT 'new comment'
* ALTER TABLE table1 ALTER COLUMN a.b.c FIRST
* ALTER TABLE table1 ALTER COLUMN a.b.c AFTER x
* }}}
*/
override def visitAlterTableAlterColumn(
ctx: AlterTableAlterColumnContext): LogicalPlan = withOrigin(ctx) {
val action = ctx.alterColumnAction
if (action == null) {
val verb = if (ctx.CHANGE != null) "CHANGE" else "ALTER"
operationNotAllowed(
s"ALTER TABLE table $verb COLUMN requires a TYPE, a SET/DROP, a COMMENT, or a FIRST/AFTER",
ctx)
}
val dataType = if (action.dataType != null) {
Some(typedVisit[DataType](action.dataType))
} else {
None
}
val nullable = if (action.setOrDrop != null) {
action.setOrDrop.getType match {
case ArcticExtendSparkSqlParser.SET => Some(false)
case ArcticExtendSparkSqlParser.DROP => Some(true)
}
} else {
None
}
val comment = if (action.commentSpec != null) {
Some(visitCommentSpec(action.commentSpec()))
} else {
None
}
val position = if (action.colPosition != null) {
Some(typedVisit[ColumnPosition](action.colPosition))
} else {
None
}
assert(Seq(dataType, nullable, comment, position).count(_.nonEmpty) == 1)
AlterTableAlterColumnStatement(
visitMultipartIdentifier(ctx.table),
typedVisit[Seq[String]](ctx.column),
dataType = dataType,
nullable = nullable,
comment = comment,
position = position)
}
/**
* Parse a [[AlterTableAlterColumnStatement]] command. This is Hive SQL syntax.
*
* For example:
* {{{
* ALTER TABLE table [PARTITION partition_spec]
* CHANGE [COLUMN] column_old_name column_new_name column_dataType [COMMENT column_comment]
* [FIRST | AFTER column_name];
* }}}
*/
override def visitHiveChangeColumn(ctx: HiveChangeColumnContext): LogicalPlan = withOrigin(ctx) {
if (ctx.partitionSpec != null) {
operationNotAllowed("ALTER TABLE table PARTITION partition_spec CHANGE COLUMN", ctx)
}
val columnNameParts = typedVisit[Seq[String]](ctx.colName)
if (!conf.resolver(columnNameParts.last, ctx.colType().colName.getText)) {
throw new AnalysisException("Renaming column is not supported in Hive-style ALTER COLUMN, " +
"please run RENAME COLUMN instead.")
}
if (ctx.colType.NULL != null) {
throw new AnalysisException("NOT NULL is not supported in Hive-style ALTER COLUMN, " +
"please run ALTER COLUMN ... SET/DROP NOT NULL instead.")
}
AlterTableAlterColumnStatement(
typedVisit[Seq[String]](ctx.table),
columnNameParts,
dataType = Option(ctx.colType().dataType()).map(typedVisit[DataType]),
nullable = None,
comment = Option(ctx.colType().commentSpec()).map(visitCommentSpec),
position = Option(ctx.colPosition).map(typedVisit[ColumnPosition]))
}
override def visitHiveReplaceColumns(
ctx: HiveReplaceColumnsContext): LogicalPlan = withOrigin(ctx) {
if (ctx.partitionSpec != null) {
operationNotAllowed("ALTER TABLE table PARTITION partition_spec REPLACE COLUMNS", ctx)
}
AlterTableReplaceColumnsStatement(
visitMultipartIdentifier(ctx.multipartIdentifier),
ctx.columns.qualifiedColTypeWithPosition.asScala.map { colType =>
if (colType.NULL != null) {
throw new AnalysisException(
"NOT NULL is not supported in Hive-style REPLACE COLUMNS")
}
if (colType.colPosition != null) {
throw new AnalysisException(
"Column position is not supported in Hive-style REPLACE COLUMNS")
}
typedVisit[QualifiedColType](colType)
}.toSeq
)
}
/**
* Parse a [[AlterTableDropColumnsStatement]] command.
*
* For example:
* {{{
* ALTER TABLE table1 DROP COLUMN a.b.c
* ALTER TABLE table1 DROP COLUMNS a.b.c, x, y
* }}}
*/
override def visitDropTableColumns(
ctx: DropTableColumnsContext): LogicalPlan = withOrigin(ctx) {
val columnsToDrop = ctx.columns.multipartIdentifier.asScala.map(typedVisit[Seq[String]])
AlterTableDropColumnsStatement(
visitMultipartIdentifier(ctx.multipartIdentifier),
columnsToDrop.toSeq)
}
/**
* Parse [[AlterViewSetPropertiesStatement]] or [[AlterTableSetPropertiesStatement]] commands.
*
* For example:
* {{{
* ALTER TABLE table SET TBLPROPERTIES ('table_property' = 'property_value');
* ALTER VIEW view SET TBLPROPERTIES ('table_property' = 'property_value');
* }}}
*/
override def visitSetTableProperties(
ctx: SetTablePropertiesContext): LogicalPlan = withOrigin(ctx) {
val identifier = visitMultipartIdentifier(ctx.multipartIdentifier)
val properties = visitPropertyKeyValues(ctx.tablePropertyList)
val cleanedTableProperties = cleanTableProperties(ctx, properties)
if (ctx.VIEW != null) {
AlterViewSetPropertiesStatement(identifier, cleanedTableProperties)
} else {
AlterTableSetPropertiesStatement(identifier, cleanedTableProperties)
}
}
/**
* Parse [[AlterViewUnsetPropertiesStatement]] or [[AlterTableUnsetPropertiesStatement]] commands.
*
* For example:
* {{{
* ALTER TABLE table UNSET TBLPROPERTIES [IF EXISTS] ('comment', 'key');
* ALTER VIEW view UNSET TBLPROPERTIES [IF EXISTS] ('comment', 'key');
* }}}
*/
override def visitUnsetTableProperties(
ctx: UnsetTablePropertiesContext): LogicalPlan = withOrigin(ctx) {
val identifier = visitMultipartIdentifier(ctx.multipartIdentifier)
val properties = visitPropertyKeys(ctx.tablePropertyList)
val cleanedProperties = cleanTableProperties(ctx, properties.map(_ -> "").toMap).keys.toSeq
val ifExists = ctx.EXISTS != null
if (ctx.VIEW != null) {
AlterViewUnsetPropertiesStatement(identifier, cleanedProperties, ifExists)
} else {
AlterTableUnsetPropertiesStatement(identifier, cleanedProperties, ifExists)
}
}
/**
* Create an [[AlterTableSetLocationStatement]] command.
*
* For example:
* {{{
* ALTER TABLE table SET LOCATION "loc";
* }}}
*/
override def visitSetTableLocation(ctx: SetTableLocationContext): LogicalPlan = withOrigin(ctx) {
AlterTableSetLocationStatement(
visitMultipartIdentifier(ctx.multipartIdentifier),
Option(ctx.partitionSpec).map(visitNonOptionalPartitionSpec),
visitLocationSpec(ctx.locationSpec))
}
/**
* Create a [[DescribeColumn]] or [[DescribeRelation]] commands.
*/
override def visitDescribeRelation(ctx: DescribeRelationContext): LogicalPlan = withOrigin(ctx) {
val isExtended = ctx.EXTENDED != null || ctx.FORMATTED != null
val relation = UnresolvedTableOrView(
visitMultipartIdentifier(ctx.multipartIdentifier()),
"DESCRIBE TABLE")
if (ctx.describeColName != null) {
if (ctx.partitionSpec != null) {
throw new ParseException("DESC TABLE COLUMN for a specific partition is not supported", ctx)
} else {
DescribeColumn(
relation,
ctx.describeColName.nameParts.asScala.map(_.getText).toSeq,
isExtended)
}
} else {
val partitionSpec = if (ctx.partitionSpec != null) {
// According to the syntax, visitPartitionSpec returns `Map[String, Option[String]]`.
visitPartitionSpec(ctx.partitionSpec).map {
case (key, Some(value)) => key -> value
case (key, _) =>
throw new ParseException(s"PARTITION specification is incomplete: `$key`", ctx)
}
} else {
Map.empty[String, String]
}
DescribeRelation(relation, partitionSpec, isExtended)
}
}
/**
* Create an [[AnalyzeTable]], or an [[AnalyzeColumn]].
* Example SQL for analyzing a table or a set of partitions :
* {{{
* ANALYZE TABLE multi_part_name [PARTITION (partcol1[=val1], partcol2[=val2], ...)]
* COMPUTE STATISTICS [NOSCAN];
* }}}
*
* Example SQL for analyzing columns :
* {{{
* ANALYZE TABLE multi_part_name COMPUTE STATISTICS FOR COLUMNS column1, column2;
* }}}
*
* Example SQL for analyzing all columns of a table:
* {{{
* ANALYZE TABLE multi_part_name COMPUTE STATISTICS FOR ALL COLUMNS;
* }}}
*/
override def visitAnalyze(ctx: AnalyzeContext): LogicalPlan = withOrigin(ctx) {
def checkPartitionSpec(): Unit = {
if (ctx.partitionSpec != null) {
logWarning("Partition specification is ignored when collecting column statistics: " +
ctx.partitionSpec.getText)
}
}
if (ctx.identifier != null &&
ctx.identifier.getText.toLowerCase(Locale.ROOT) != "noscan") {
throw new ParseException(s"Expected `NOSCAN` instead of `${ctx.identifier.getText}`",
ctx.identifier())
}
val tableName = visitMultipartIdentifier(ctx.multipartIdentifier())
if (ctx.ALL() != null) {
checkPartitionSpec()
AnalyzeColumn(
UnresolvedTableOrView(tableName, "ANALYZE TABLE ... FOR ALL COLUMNS"),
None,
allColumns = true)
} else if (ctx.identifierSeq() == null) {
val partitionSpec = if (ctx.partitionSpec != null) {
visitPartitionSpec(ctx.partitionSpec)
} else {
Map.empty[String, Option[String]]
}
AnalyzeTable(
UnresolvedTableOrView(tableName, "ANALYZE TABLE", allowTempView = false),
partitionSpec,
noScan = ctx.identifier != null)
} else {
checkPartitionSpec()
AnalyzeColumn(
UnresolvedTableOrView(tableName, "ANALYZE TABLE ... FOR COLUMNS ..."),
Option(visitIdentifierSeq(ctx.identifierSeq())),
allColumns = false)
}
}
/**
* Create a [[RepairTableStatement]].
*
* For example:
* {{{
* MSCK REPAIR TABLE multi_part_name
* }}}
*/
override def visitRepairTable(ctx: RepairTableContext): LogicalPlan = withOrigin(ctx) {
RepairTableStatement(visitMultipartIdentifier(ctx.multipartIdentifier()))
}
/**
* Create a [[LoadData]].
*
* For example:
* {{{
* LOAD DATA [LOCAL] INPATH 'filepath' [OVERWRITE] INTO TABLE multi_part_name
* [PARTITION (partcol1=val1, partcol2=val2 ...)]
* }}}
*/
override def visitLoadData(ctx: LoadDataContext): LogicalPlan = withOrigin(ctx) {
LoadData(
child = UnresolvedTable(visitMultipartIdentifier(ctx.multipartIdentifier), "LOAD DATA"),
path = string(ctx.path),
isLocal = ctx.LOCAL != null,
isOverwrite = ctx.OVERWRITE != null,
partition = Option(ctx.partitionSpec).map(visitNonOptionalPartitionSpec)
)
}
/**
* Creates a [[ShowCreateTable]]
*/
override def visitShowCreateTable(ctx: ShowCreateTableContext): LogicalPlan = withOrigin(ctx) {
ShowCreateTable(
UnresolvedTableOrView(
visitMultipartIdentifier(ctx.multipartIdentifier()),
"SHOW CREATE TABLE",
allowTempView = false),
ctx.SERDE != null)
}
/**
* Create a [[TruncateTable]] command.
*
* For example:
* {{{
* TRUNCATE TABLE multi_part_name [PARTITION (partcol1=val1, partcol2=val2 ...)]
* }}}
*/
override def visitTruncateTable(ctx: TruncateTableContext): LogicalPlan = withOrigin(ctx) {
TruncateTable(
UnresolvedTable(visitMultipartIdentifier(ctx.multipartIdentifier), "TRUNCATE TABLE"),
Option(ctx.partitionSpec).map(visitNonOptionalPartitionSpec))
}
/**
* A command for users to list the partition names of a table. If partition spec is specified,
* partitions that match the spec are returned. Otherwise an empty result set is returned.
*
* This function creates a [[ShowPartitionsStatement]] logical plan
*
* The syntax of using this command in SQL is:
* {{{
* SHOW PARTITIONS multi_part_name [partition_spec];
* }}}
*/
override def visitShowPartitions(ctx: ShowPartitionsContext): LogicalPlan = withOrigin(ctx) {
val partitionKeys = Option(ctx.partitionSpec).map { specCtx =>
UnresolvedPartitionSpec(visitNonOptionalPartitionSpec(specCtx), None)
}
ShowPartitions(
UnresolvedTable(visitMultipartIdentifier(ctx.multipartIdentifier()), "SHOW PARTITIONS"),
partitionKeys)
}
/**
* Create a [[RefreshTable]].
*
* For example:
* {{{
* REFRESH TABLE multi_part_name
* }}}
*/
override def visitRefreshTable(ctx: RefreshTableContext): LogicalPlan = withOrigin(ctx) {
RefreshTable(
UnresolvedTableOrView(
visitMultipartIdentifier(ctx.multipartIdentifier()),
"REFRESH TABLE"))
}
/**
* A command for users to list the column names for a table.
* This function creates a [[ShowColumns]] logical plan.
*
* The syntax of using this command in SQL is:
* {{{
* SHOW COLUMNS (FROM | IN) tableName=multipartIdentifier
* ((FROM | IN) namespace=multipartIdentifier)?
* }}}
*/
override def visitShowColumns(ctx: ShowColumnsContext): LogicalPlan = withOrigin(ctx) {
val nameParts = visitMultipartIdentifier(ctx.table)
val namespace = Option(ctx.ns).map(visitMultipartIdentifier)
// Use namespace only if table name doesn't specify it. If namespace is already specified
// in the table name, it's checked against the given namespace after table/view is resolved.
val tableName = if (namespace.isDefined && nameParts.length == 1) {
namespace.get ++ nameParts
} else {
nameParts
}
ShowColumns(UnresolvedTableOrView(tableName, "SHOW COLUMNS"), namespace)
}
/**
* Create an [[AlterTableRecoverPartitionsStatement]]
*
* For example:
* {{{
* ALTER TABLE multi_part_name RECOVER PARTITIONS;
* }}}
*/
override def visitRecoverPartitions(
ctx: RecoverPartitionsContext): LogicalPlan = withOrigin(ctx) {
AlterTableRecoverPartitionsStatement(visitMultipartIdentifier(ctx.multipartIdentifier))
}
/**
* Create an [[AlterTableAddPartition]].
*
* For example:
* {{{
* ALTER TABLE multi_part_name ADD [IF NOT EXISTS] PARTITION spec [LOCATION 'loc1']
* ALTER VIEW multi_part_name ADD [IF NOT EXISTS] PARTITION spec
* }}}
*
* ALTER VIEW ... ADD PARTITION ... is not supported because the concept of partitioning
* is associated with physical tables
*/
override def visitAddTablePartition(
ctx: AddTablePartitionContext): LogicalPlan = withOrigin(ctx) {
if (ctx.VIEW != null) {
operationNotAllowed("ALTER VIEW ... ADD PARTITION", ctx)
}
// Create partition spec to location mapping.
val specsAndLocs = ctx.partitionSpecLocation.asScala.map { splCtx =>
val spec = visitNonOptionalPartitionSpec(splCtx.partitionSpec)
val location = Option(splCtx.locationSpec).map(visitLocationSpec)
UnresolvedPartitionSpec(spec, location)
}
AlterTableAddPartition(
UnresolvedTable(
visitMultipartIdentifier(ctx.multipartIdentifier),
"ALTER TABLE ... ADD PARTITION ..."),
specsAndLocs.toSeq,
ctx.EXISTS != null)
}
/**
* Create an [[AlterTableRenamePartitionStatement]]
*
* For example:
* {{{
* ALTER TABLE multi_part_name PARTITION spec1 RENAME TO PARTITION spec2;
* }}}
*/
override def visitRenameTablePartition(
ctx: RenameTablePartitionContext): LogicalPlan = withOrigin(ctx) {
AlterTableRenamePartitionStatement(
visitMultipartIdentifier(ctx.multipartIdentifier),
visitNonOptionalPartitionSpec(ctx.from),
visitNonOptionalPartitionSpec(ctx.to))
}
/**
* Create an [[AlterTableDropPartition]]
*
* For example:
* {{{
* ALTER TABLE multi_part_name DROP [IF EXISTS] PARTITION spec1[, PARTITION spec2, ...]
* [PURGE];
* ALTER VIEW view DROP [IF EXISTS] PARTITION spec1[, PARTITION spec2, ...];
* }}}
*
* ALTER VIEW ... DROP PARTITION ... is not supported because the concept of partitioning
* is associated with physical tables
*/
override def visitDropTablePartitions(
ctx: DropTablePartitionsContext): LogicalPlan = withOrigin(ctx) {
if (ctx.VIEW != null) {
operationNotAllowed("ALTER VIEW ... DROP PARTITION", ctx)
}
val partSpecs = ctx.partitionSpec.asScala.map(visitNonOptionalPartitionSpec)
.map(spec => UnresolvedPartitionSpec(spec))
AlterTableDropPartition(
UnresolvedTable(
visitMultipartIdentifier(ctx.multipartIdentifier),
"ALTER TABLE ... DROP PARTITION ..."),
partSpecs.toSeq,
ifExists = ctx.EXISTS != null,
purge = ctx.PURGE != null,
retainData = false)
}
/**
* Create an [[AlterTableSerDePropertiesStatement]]
*
* For example:
* {{{
* ALTER TABLE multi_part_name [PARTITION spec] SET SERDE serde_name
* [WITH SERDEPROPERTIES props];
* ALTER TABLE multi_part_name [PARTITION spec] SET SERDEPROPERTIES serde_properties;
* }}}
*/
override def visitSetTableSerDe(ctx: SetTableSerDeContext): LogicalPlan = withOrigin(ctx) {
AlterTableSerDePropertiesStatement(
visitMultipartIdentifier(ctx.multipartIdentifier),
Option(ctx.STRING).map(string),
Option(ctx.tablePropertyList).map(visitPropertyKeyValues),
// TODO a partition spec is allowed to have optional values. This is currently violated.
Option(ctx.partitionSpec).map(visitNonOptionalPartitionSpec))
}
/**
* Create or replace a view. This creates a [[CreateViewStatement]]
*
* For example:
* {{{
* CREATE [OR REPLACE] [[GLOBAL] TEMPORARY] VIEW [IF NOT EXISTS] multi_part_name
* [(column_name [COMMENT column_comment], ...) ]
* create_view_clauses
*
* AS SELECT ...;
*
* create_view_clauses (order insensitive):
* [COMMENT view_comment]
* [TBLPROPERTIES (property_name = property_value, ...)]
* }}}
*/
override def visitCreateView(ctx: CreateViewContext): LogicalPlan = withOrigin(ctx) {
if (!ctx.identifierList.isEmpty) {
operationNotAllowed("CREATE VIEW ... PARTITIONED ON", ctx)
}
checkDuplicateClauses(ctx.commentSpec(), "COMMENT", ctx)
checkDuplicateClauses(ctx.PARTITIONED, "PARTITIONED ON", ctx)
checkDuplicateClauses(ctx.TBLPROPERTIES, "TBLPROPERTIES", ctx)
val userSpecifiedColumns = Option(ctx.identifierCommentList).toSeq.flatMap { icl =>
icl.identifierComment.asScala.map { ic =>
ic.identifier.getText -> Option(ic.commentSpec()).map(visitCommentSpec)
}
}
val properties = ctx.tablePropertyList.asScala.headOption.map(visitPropertyKeyValues)
.getOrElse(Map.empty)
if (ctx.TEMPORARY != null && !properties.isEmpty) {
operationNotAllowed("TBLPROPERTIES can't coexist with CREATE TEMPORARY VIEW", ctx)
}
val viewType = if (ctx.TEMPORARY == null) {
PersistedView
} else if (ctx.GLOBAL != null) {
GlobalTempView
} else {
LocalTempView
}
CreateViewStatement(
visitMultipartIdentifier(ctx.multipartIdentifier),
userSpecifiedColumns,
visitCommentSpecList(ctx.commentSpec()),
properties,
Option(source(ctx.query)),
plan(ctx.query),
ctx.EXISTS != null,
ctx.REPLACE != null,
viewType)
}
/**
* Alter the query of a view. This creates a [[AlterViewAsStatement]]
*
* For example:
* {{{
* ALTER VIEW multi_part_name AS SELECT ...;
* }}}
*/
override def visitAlterViewQuery(ctx: AlterViewQueryContext): LogicalPlan = withOrigin(ctx) {
AlterViewAsStatement(
visitMultipartIdentifier(ctx.multipartIdentifier),
originalText = source(ctx.query),
query = plan(ctx.query))
}
/**
* Create a [[RenameTableStatement]] command.
*
* For example:
* {{{
* ALTER TABLE multi_part_name1 RENAME TO multi_part_name2;
* ALTER VIEW multi_part_name1 RENAME TO multi_part_name2;
* }}}
*/
override def visitRenameTable(ctx: RenameTableContext): LogicalPlan = withOrigin(ctx) {
RenameTableStatement(
visitMultipartIdentifier(ctx.from),
visitMultipartIdentifier(ctx.to),
ctx.VIEW != null)
}
/**
* A command for users to list the properties for a table. If propertyKey is specified, the value
* for the propertyKey is returned. If propertyKey is not specified, all the keys and their
* corresponding values are returned.
* The syntax of using this command in SQL is:
* {{{
* SHOW TBLPROPERTIES multi_part_name[('propertyKey')];
* }}}
*/
override def visitShowTblProperties(
ctx: ShowTblPropertiesContext): LogicalPlan = withOrigin(ctx) {
ShowTableProperties(
UnresolvedTableOrView(visitMultipartIdentifier(ctx.table), "SHOW TBLPROPERTIES"),
Option(ctx.key).map(visitTablePropertyKey))
}
/**
* Create a plan for a DESCRIBE FUNCTION statement.
*/
override def visitDescribeFunction(ctx: DescribeFunctionContext): LogicalPlan = withOrigin(ctx) {
val functionName =
if (ctx.describeFuncName.STRING() != null) {
Seq(string(ctx.describeFuncName.STRING()))
} else if (ctx.describeFuncName.qualifiedName() != null) {
visitQualifiedName(ctx.describeFuncName.qualifiedName)
} else {
Seq(ctx.describeFuncName.getText)
}
DescribeFunction(UnresolvedFunc(functionName), EXTENDED != null)
}
/**
* Create a plan for a SHOW FUNCTIONS command.
*/
override def visitShowFunctions(ctx: ShowFunctionsContext): LogicalPlan = withOrigin(ctx) {
val (userScope, systemScope) = Option(ctx.identifier)
.map(_.getText.toLowerCase(Locale.ROOT)) match {
case None | Some("all") => (true, true)
case Some("system") => (false, true)
case Some("user") => (true, false)
case Some(x) => throw new ParseException(s"SHOW $x FUNCTIONS not supported", ctx)
}
val pattern = Option(ctx.pattern).map(string(_))
val unresolvedFuncOpt = Option(ctx.multipartIdentifier)
.map(visitMultipartIdentifier)
.map(UnresolvedFunc(_))
ShowFunctions(unresolvedFuncOpt, userScope, systemScope, pattern)
}
/**
* Create a DROP FUNCTION statement.
*
* For example:
* {{{
* DROP [TEMPORARY] FUNCTION [IF EXISTS] function;
* }}}
*/
override def visitDropFunction(ctx: DropFunctionContext): LogicalPlan = withOrigin(ctx) {
val functionName = visitMultipartIdentifier(ctx.multipartIdentifier)
DropFunction(
UnresolvedFunc(functionName),
ctx.EXISTS != null,
ctx.TEMPORARY != null)
}
/**
* Create a CREATE FUNCTION statement.
*
* For example:
* {{{
* CREATE [OR REPLACE] [TEMPORARY] FUNCTION [IF NOT EXISTS] [db_name.]function_name
* AS class_name [USING JAR|FILE|ARCHIVE 'file_uri' [, JAR|FILE|ARCHIVE 'file_uri']];
* }}}
*/
override def visitCreateFunction(ctx: CreateFunctionContext): LogicalPlan = withOrigin(ctx) {
val resources = ctx.resource.asScala.map { resource =>
val resourceType = resource.identifier.getText.toLowerCase(Locale.ROOT)
resourceType match {
case "jar" | "file" | "archive" =>
FunctionResource(FunctionResourceType.fromString(resourceType), string(resource.STRING))
case other =>
operationNotAllowed(s"CREATE FUNCTION with resource type '$resourceType'", ctx)
}
}
val functionIdentifier = visitMultipartIdentifier(ctx.multipartIdentifier)
CreateFunctionStatement(
functionIdentifier,
string(ctx.className),
resources.toSeq,
ctx.TEMPORARY != null,
ctx.EXISTS != null,
ctx.REPLACE != null)
}
override def visitRefreshFunction(ctx: RefreshFunctionContext): LogicalPlan = withOrigin(ctx) {
val functionIdentifier = visitMultipartIdentifier(ctx.multipartIdentifier)
RefreshFunction(UnresolvedFunc(functionIdentifier))
}
override def visitCommentNamespace(ctx: CommentNamespaceContext): LogicalPlan = withOrigin(ctx) {
val comment = ctx.comment.getType match {
case ArcticExtendSparkSqlParser.NULL => ""
case _ => string(ctx.STRING)
}
val nameParts = visitMultipartIdentifier(ctx.multipartIdentifier)
CommentOnNamespace(UnresolvedNamespace(nameParts), comment)
}
override def visitCommentTable(ctx: CommentTableContext): LogicalPlan = withOrigin(ctx) {
val comment = ctx.comment.getType match {
case ArcticExtendSparkSqlParser.NULL => ""
case _ => string(ctx.STRING)
}
val nameParts = visitMultipartIdentifier(ctx.multipartIdentifier)
CommentOnTable(UnresolvedTable(nameParts, "COMMENT ON TABLE"), comment)
}
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy