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-rw-r--r--sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala4
-rw-r--r--sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/ExternalCatalog.scala2
-rw-r--r--sql/catalyst/src/main/scala/org/apache/spark/sql/types/Decimal.scala2
-rw-r--r--sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PartitioningUtils.scala2
4 files changed, 5 insertions, 5 deletions
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala
index 16df628a57..baec6d14a2 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala
@@ -73,7 +73,7 @@ object TypeCoercion {
DoubleType)
/**
- * Case 1 type widening (see the classdoc comment above for HiveTypeCoercion).
+ * Case 1 type widening (see the classdoc comment above for TypeCoercion).
*
* Find the tightest common type of two types that might be used in a binary expression.
* This handles all numeric types except fixed-precision decimals interacting with each other or
@@ -132,7 +132,7 @@ object TypeCoercion {
}
/**
- * Case 2 type widening (see the classdoc comment above for HiveTypeCoercion).
+ * Case 2 type widening (see the classdoc comment above for TypeCoercion).
*
* i.e. the main difference with [[findTightestCommonTypeOfTwo]] is that here we allow some
* loss of precision when widening decimal and double.
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/ExternalCatalog.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/ExternalCatalog.scala
index 81974b282b..6714846e8c 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/ExternalCatalog.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/ExternalCatalog.scala
@@ -27,7 +27,7 @@ import org.apache.spark.sql.catalyst.analysis.NoSuchDatabaseException
* can be accessed in multiple threads. This is an external catalog because it is expected to
* interact with external systems.
*
- * Implementations should throw [[NoSuchDatabaseException]] when table or database don't exist.
+ * Implementations should throw [[NoSuchDatabaseException]] when databases don't exist.
*/
abstract class ExternalCatalog {
import CatalogTypes.TablePartitionSpec
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/Decimal.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/types/Decimal.scala
index 52e021070e..cc8175c0a3 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/Decimal.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/types/Decimal.scala
@@ -322,7 +322,7 @@ final class Decimal extends Ordered[Decimal] with Serializable {
}
}
- // HiveTypeCoercion will take care of the precision, scale of result
+ // TypeCoercion will take care of the precision, scale of result
def * (that: Decimal): Decimal =
Decimal(toJavaBigDecimal.multiply(that.toJavaBigDecimal, MATH_CONTEXT))
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PartitioningUtils.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PartitioningUtils.scala
index 2340ff0afe..388df7002d 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PartitioningUtils.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PartitioningUtils.scala
@@ -159,7 +159,7 @@ private[sql] object PartitioningUtils {
* Seq(
* Literal.create(42, IntegerType),
* Literal.create("hello", StringType),
- * Literal.create(3.14, FloatType)))
+ * Literal.create(3.14, DoubleType)))
* }}}
* and the path when we stop the discovery is:
* {{{