diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/InMemoryCatalog.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/InMemoryCatalog.scala
index 15aed5f9b1bd..bc0d7f434be4 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/InMemoryCatalog.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/InMemoryCatalog.scala
@@ -186,11 +186,7 @@ class InMemoryCatalog(
     val db = tableDefinition.identifier.database.get
     requireDbExists(db)
     val table = tableDefinition.identifier.table
-    if (tableExists(db, table)) {
-      if (!ignoreIfExists) {
-        throw new TableAlreadyExistsException(db = db, table = table)
-      }
-    } else {
+    if (!tableExists(db, table)) {
       // Set the default table location if this is a managed table and its location is not
       // specified.
       // Ideally we should not create a managed table with location, but Hive serde table can
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/SessionCatalog.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/SessionCatalog.scala
index 73ef0e6a1869..317448002822 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/SessionCatalog.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/SessionCatalog.scala
@@ -249,13 +249,37 @@ class SessionCatalog(
   /**
    * Create a metastore table in the database specified in `tableDefinition`.
    * If no such database is specified, create it in the current database.
+   * suggestIgnoreIfPathExists suggest whether should check if the path of table
+   * exists when ignoreIfExists is false, if it is false, it will only check the
+   * path of a managed table, if it is true, it will not do the check for all
+   * type tables.
    */
-  def createTable(tableDefinition: CatalogTable, ignoreIfExists: Boolean): Unit = {
+  def createTable(
+    tableDefinition: CatalogTable,
+    ignoreIfExists: Boolean,
+    suggestIgnoreIfPathExists: Boolean = false): Unit = {
     val db = formatDatabaseName(tableDefinition.identifier.database.getOrElse(getCurrentDatabase))
     val table = formatTableName(tableDefinition.identifier.table)
     validateName(table)
     val newTableDefinition = tableDefinition.copy(identifier = TableIdentifier(table, Some(db)))
     requireDbExists(db)
+
+    if (!ignoreIfExists) {
+      if (tableExists(newTableDefinition.identifier)) {
+        throw new TableAlreadyExistsException(db = db, table = table)
+      }
+      // As discussed in SPARK-19583, the default location of a managed table should not exists
+      if (!suggestIgnoreIfPathExists && tableDefinition.tableType == CatalogTableType.MANAGED) {
+        val tblLocationPath =
+          new Path(defaultTablePath(tableDefinition.identifier))
+        val fs = tblLocationPath.getFileSystem(hadoopConf)
+        if (fs.exists(tblLocationPath)) {
+          throw new AnalysisException(s"the location('$tblLocationPath') of table" +
+            s"('${newTableDefinition.identifier}')  already exists.")
+        }
+      }
+    }
+
     externalCatalog.createTable(newTableDefinition, ignoreIfExists)
   }
 
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/catalog/ExternalCatalogSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/catalog/ExternalCatalogSuite.scala
index a5d399a06558..484bcfe492f2 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/catalog/ExternalCatalogSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/catalog/ExternalCatalogSuite.scala
@@ -162,15 +162,6 @@ abstract class ExternalCatalogSuite extends SparkFunSuite with BeforeAndAfterEac
     assert(actual.tableType === CatalogTableType.EXTERNAL)
   }
 
-  test("create table when the table already exists") {
-    val catalog = newBasicCatalog()
-    assert(catalog.listTables("db2").toSet == Set("tbl1", "tbl2"))
-    val table = newTable("tbl1", "db2")
-    intercept[TableAlreadyExistsException] {
-      catalog.createTable(table, ignoreIfExists = false)
-    }
-  }
-
   test("drop table") {
     val catalog = newBasicCatalog()
     assert(catalog.listTables("db2").toSet == Set("tbl1", "tbl2"))
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/command/createDataSourceTables.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/command/createDataSourceTables.scala
index 5abd57947650..36ff5e388824 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/command/createDataSourceTables.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/command/createDataSourceTables.scala
@@ -158,7 +158,10 @@ case class CreateDataSourceTableAsSelectCommand(
         // the schema of df). It is important since the nullability may be changed by the relation
         // provider (for example, see org.apache.spark.sql.parquet.DefaultSource).
         schema = result.schema)
-      sessionState.catalog.createTable(newTable, ignoreIfExists = false)
+      // the path of the table has been created above before create table, we should not
+      // check if the path existes, so suggestIgnoreIfPathExists set to true .
+      sessionState.catalog.createTable(newTable, ignoreIfExists = false,
+        suggestIgnoreIfPathExists = true)
 
       result match {
         case fs: HadoopFsRelation if table.partitionColumnNames.nonEmpty &&
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/DDLSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/DDLSuite.scala
index b44f20e367f0..30a096006b7e 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/DDLSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/DDLSuite.scala
@@ -1952,4 +1952,54 @@ class DDLSuite extends QueryTest with SharedSQLContext with BeforeAndAfterEach {
       }
     }
   }
+
+  test("CTAS for managed data source table with a created default location throw an exception") {
+    withTable("t", "t1", "t2") {
+      val warehousePath = spark.sharedState.warehousePath.stripPrefix("file:")
+      val tFile = new File(warehousePath, "t")
+      tFile.mkdirs()
+      assert(tFile.exists)
+
+      val e = intercept[AnalysisException] {
+        spark.sql(
+          s"""
+             |CREATE TABLE t
+             |USING parquet
+             |AS SELECT 3 as a, 4 as b, 1 as c, 2 as d
+             """.stripMargin)
+      }.getMessage
+      assert(e.contains(s"path file:${tFile.getAbsolutePath} already exists."))
+
+      // partition table(table path exists)
+      val tFile1 = new File(warehousePath, "t1")
+      tFile1.mkdirs()
+      assert(tFile1.exists)
+      val e1 = intercept[AnalysisException] {
+        spark.sql(
+          s"""
+             |CREATE TABLE t1
+             |USING parquet
+             |PARTITIONED BY(a, b)
+             |AS SELECT 3 as a, 4 as b, 1 as c, 2 as d
+           """.stripMargin)
+      }.getMessage
+      assert(e1.contains(s"path file:${tFile1.getAbsolutePath} already exists."))
+
+      // partition table(partition path exists)
+      val tFile2 = new File(warehousePath, "t2")
+      val tPartFile = new File(tFile2, "a=3/b=4")
+      tPartFile.mkdirs()
+      assert(tPartFile.exists)
+      val e2 = intercept[AnalysisException] {
+        spark.sql(
+          s"""
+             |CREATE TABLE t2
+             |USING parquet
+             |PARTITIONED BY(a, b)
+             |AS SELECT 3 as a, 4 as b, 1 as c, 2 as d
+           """.stripMargin)
+      }.getMessage
+      assert(e2.contains(s"path file:${tFile2.getAbsolutePath} already exists."))
+    }
+  }
 }
diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveExternalCatalog.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveExternalCatalog.scala
index ea4825614785..3cb9080bd9ce 100644
--- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveExternalCatalog.scala
+++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveExternalCatalog.scala
@@ -195,10 +195,6 @@ private[spark] class HiveExternalCatalog(conf: SparkConf, hadoopConf: Configurat
     requireDbExists(db)
     verifyTableProperties(tableDefinition)
 
-    if (tableExists(db, table) && !ignoreIfExists) {
-      throw new TableAlreadyExistsException(db = db, table = table)
-    }
-
     if (tableDefinition.tableType == VIEW) {
       client.createTable(tableDefinition, ignoreIfExists)
     } else {
diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala
index 792ac1e25949..0ade2cec3389 100644
--- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala
+++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala
@@ -1289,7 +1289,7 @@ class HiveDDLSuite
     import org.apache.spark.sql.hive.HiveExternalCatalog.DATASOURCE_PREFIX
     import org.apache.spark.sql.hive.HiveExternalCatalog.STATISTICS_PREFIX
 
-    withTable("tbl") {
+    withTable("tbl", "tbl1") {
       sql("CREATE TABLE tbl(a INT) STORED AS parquet")
 
       Seq(DATASOURCE_PREFIX, STATISTICS_PREFIX).foreach { forbiddenPrefix =>
@@ -1304,7 +1304,7 @@ class HiveDDLSuite
         assert(e2.getMessage.contains(forbiddenPrefix + "foo"))
 
         val e3 = intercept[AnalysisException] {
-          sql(s"CREATE TABLE tbl (a INT) TBLPROPERTIES ('${forbiddenPrefix}foo'='anything')")
+          sql(s"CREATE TABLE tbl1 (a INT) TBLPROPERTIES ('${forbiddenPrefix}foo'='anything')")
         }
         assert(e3.getMessage.contains(forbiddenPrefix + "foo"))
       }
@@ -1587,4 +1587,173 @@ class HiveDDLSuite
       }
     }
   }
+
+  test("CTAS for managed datasource table with a created default location throw an exception") {
+    withTable("t", "t1", "t2") {
+      val warehousePath = spark.sharedState.warehousePath
+      val tFile = new File(warehousePath, "t")
+      tFile.mkdirs()
+      assert(tFile.exists)
+
+      val e = intercept[AnalysisException] {
+        spark.sql(
+          s"""
+             |CREATE TABLE t
+             |USING parquet
+             |AS SELECT 3 as a, 4 as b, 1 as c, 2 as d
+           """.stripMargin)
+      }.getMessage
+      assert(e.contains(s"path file:${tFile.getAbsolutePath} already exists."))
+
+      // partition table(table path exists)
+      val tFile1 = new File(warehousePath, "t1")
+      tFile1.mkdirs()
+      assert(tFile1.exists)
+      val e1 = intercept[AnalysisException] {
+        spark.sql(
+          s"""
+             |CREATE TABLE t1
+             |USING parquet
+             |PARTITIONED BY(a, b)
+             |AS SELECT 3 as a, 4 as b, 1 as c, 2 as d
+           """.stripMargin)
+      }.getMessage
+      assert(e1.contains(s"path file:${tFile1.getAbsolutePath} already exists."))
+
+      // partition table(partition path exists)
+      val tFile2 = new File(warehousePath, "t2")
+      val tPartFile = new File(tFile2, "a=3/b=4")
+      tPartFile.mkdirs()
+      assert(tPartFile.exists)
+      val e2 = intercept[AnalysisException] {
+        spark.sql(
+          s"""
+             |CREATE TABLE t2
+             |USING parquet
+             |PARTITIONED BY(a, b)
+             |AS SELECT 3 as a, 4 as b, 1 as c, 2 as d
+           """.stripMargin)
+      }.getMessage
+      assert(e2.contains(s"path file:${tFile2.getAbsolutePath} already exists."))
+    }
+  }
+
+  test("CTAS for managed hive table with a created default location throw an exception") {
+    withTable("t", "t1", "t2") {
+      val warehousePath = spark.sharedState.warehousePath
+      val tFile = new File(warehousePath, "t")
+      tFile.mkdirs()
+      assert(tFile.exists)
+
+      val e = intercept[AnalysisException] {
+        spark.sql(
+          s"""
+             |CREATE TABLE t
+             |USING hive
+             |AS SELECT 3 as a, 4 as b, 1 as c, 2 as d
+           """.stripMargin)
+      }.getMessage
+      assert(e.contains(s"the location('file:${tFile.getAbsolutePath}') of table" +
+        s"('`default`.`t`')  already exists."))
+
+      // partition table(table path exists)
+      val tFile1 = new File(warehousePath, "t1")
+      tFile1.mkdirs()
+      assert(tFile1.exists)
+      val e1 = intercept[AnalysisException] {
+        spark.sql(
+          s"""
+             |CREATE TABLE t1
+             |USING hive
+             |PARTITIONED BY(a, b)
+             |AS SELECT 3 as a, 4 as b, 1 as c, 2 as d
+           """.stripMargin)
+      }.getMessage
+      assert(e1.contains(s"the location('file:${tFile1.getAbsolutePath}') of table" +
+        s"('`default`.`t1`')  already exists."))
+
+      // partition table(partition path exists)
+      val tFile2 = new File(warehousePath, "t2")
+      val tPartFile = new File(tFile2, "a=3/b=4")
+      tPartFile.mkdirs()
+      assert(tPartFile.exists)
+      val e2 = intercept[AnalysisException] {
+        spark.sql(
+          s"""
+             |CREATE TABLE t2
+             |USING hive
+             |PARTITIONED BY(a, b)
+             |AS SELECT 3 as a, 4 as b, 1 as c, 2 as d
+           """.stripMargin)
+      }.getMessage
+      assert(e1.contains(s"the location('file:${tFile1.getAbsolutePath}') of table" +
+        s"('`default`.`t1`')  already exists."))
+    }
+  }
+
+  test("create table for managed datasource table with a created location throw an exception") {
+    withTable("t", "t1") {
+      val warehousePath = spark.sharedState.warehousePath
+      val tFile = new File(warehousePath, "t")
+      tFile.mkdirs()
+      assert(tFile.exists)
+
+      val e = intercept[AnalysisException] {
+        spark.sql(
+          s"""
+             |CREATE TABLE t(a string, b string)
+             |USING parquet
+           """.stripMargin)
+      }.getMessage
+      assert(e.contains(s"the location('file:${tFile.getAbsolutePath}') of table" +
+        s"('`default`.`t`')  already exists."))
+      // partition table(table path exists)
+      val tFile1 = new File(warehousePath, "t1")
+      tFile1.mkdirs()
+      assert(tFile1.exists)
+      val e1 = intercept[AnalysisException] {
+        spark.sql(
+          s"""
+             |CREATE TABLE t1(a string, b string)
+             |USING parquet
+             |PARTITIONED BY(a)
+           """.stripMargin)
+      }.getMessage
+      assert(e1.contains(s"the location('file:${tFile1.getAbsolutePath}') of table" +
+        s"('`default`.`t1`')  already exists."))
+    }
+  }
+
+  test("create table for managed hive table with a created location throw an exception") {
+    withTable("t", "t1") {
+      val warehousePath = spark.sharedState.warehousePath
+      val tFile = new File(warehousePath, "t")
+      tFile.mkdirs()
+      assert(tFile.exists)
+
+      val e = intercept[AnalysisException] {
+        spark.sql(
+          s"""
+             |CREATE TABLE t(a string, b string)
+             |USING hive
+           """.stripMargin)
+      }.getMessage
+      assert(e.contains(s"the location('file:${tFile.getAbsolutePath}') of table" +
+        s"('`default`.`t`')  already exists."))
+      // partition table(table path exists)
+      val tFile1 = new File(warehousePath, "t1")
+      tFile1.mkdirs()
+      assert(tFile1.exists)
+      val e1 = intercept[AnalysisException] {
+        spark.sql(
+          s"""
+             |CREATE TABLE t1(a string, b string)
+             |USING hive
+             |PARTITIONED BY(a)
+           """.stripMargin)
+      }.getMessage
+      assert(e1.contains(s"the location('file:${tFile1.getAbsolutePath}') of table" +
+        s"('`default`.`t1`')  already exists."))
+    }
+  }
 }