Package org.apache.spark.sql.util
Class SchemaUtils
Object
org.apache.spark.sql.util.SchemaUtils
Utils for handling schemas.
TODO: Merge this file with SchemaUtils
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Constructor Summary
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Method Summary
Modifier and TypeMethodDescriptionstatic void
checkColumnNameDuplication
(scala.collection.immutable.Seq<String> columnNames, boolean caseSensitiveAnalysis) Checks if input column names have duplicate identifiers.static void
checkColumnNameDuplication
(scala.collection.immutable.Seq<String> columnNames, scala.Function2<String, String, Object> resolver) Checks if input column names have duplicate identifiers.static void
checkSchemaColumnNameDuplication
(DataType schema, boolean caseSensitiveAnalysis) Checks if an input schema has duplicate column names.static void
checkSchemaColumnNameDuplication
(StructType schema, scala.Function2<String, String, Object> resolver) Checks if an input schema has duplicate column names.static void
checkTransformDuplication
(scala.collection.immutable.Seq<Transform> transforms, String checkType, boolean isCaseSensitive) Checks if the partitioning transforms are being duplicated or not.static String
static scala.collection.immutable.Seq<String>
explodeNestedFieldNames
(StructType schema) Returns all column names in this schema as a flat list.static scala.collection.immutable.Seq<Object>
findColumnPosition
(scala.collection.immutable.Seq<String> column, StructType schema, scala.Function2<String, String, Object> resolver) Returns the given column's ordinal within the givenschema
.static scala.collection.immutable.Seq<String>
getColumnName
(scala.collection.immutable.Seq<Object> position, StructType schema) Gets the name of the column in the given position.static boolean
Checks if a given data type has a non utf8 binary (implicit) collation type.static DataType
Replaces any collated string type with non collated StringType recursively in the given data type.static scala.collection.immutable.Seq<org.apache.spark.sql.catalyst.expressions.NamedExpression>
restoreOriginalOutputNames
(scala.collection.immutable.Seq<org.apache.spark.sql.catalyst.expressions.NamedExpression> projectList, scala.collection.immutable.Seq<String> originalNames)
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Constructor Details
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SchemaUtils
public SchemaUtils()
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Method Details
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checkSchemaColumnNameDuplication
Checks if an input schema has duplicate column names. This throws an exception if the duplication exists.- Parameters:
schema
- schema to checkcaseSensitiveAnalysis
- whether duplication checks should be case sensitive or not
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checkSchemaColumnNameDuplication
public static void checkSchemaColumnNameDuplication(StructType schema, scala.Function2<String, String, Object> resolver) Checks if an input schema has duplicate column names. This throws an exception if the duplication exists.- Parameters:
schema
- schema to checkresolver
- resolver used to determine if two identifiers are equal
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checkColumnNameDuplication
public static void checkColumnNameDuplication(scala.collection.immutable.Seq<String> columnNames, scala.Function2<String, String, Object> resolver) Checks if input column names have duplicate identifiers. This throws an exception if the duplication exists.- Parameters:
columnNames
- column names to checkresolver
- resolver used to determine if two identifiers are equal
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checkColumnNameDuplication
public static void checkColumnNameDuplication(scala.collection.immutable.Seq<String> columnNames, boolean caseSensitiveAnalysis) Checks if input column names have duplicate identifiers. This throws an exception if the duplication exists.- Parameters:
columnNames
- column names to checkcaseSensitiveAnalysis
- whether duplication checks should be case sensitive or not
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explodeNestedFieldNames
Returns all column names in this schema as a flat list. For example, a schema like: | - a | | - 1 | | - 2 | - b | - c | | - nest | | - 3 will get flattened to: "a", "a.1", "a.2", "b", "c", "c.nest", "c.nest.3"- Parameters:
schema
- (undocumented)- Returns:
- (undocumented)
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checkTransformDuplication
public static void checkTransformDuplication(scala.collection.immutable.Seq<Transform> transforms, String checkType, boolean isCaseSensitive) Checks if the partitioning transforms are being duplicated or not. Throws an exception if duplication exists.- Parameters:
transforms
- the schema to check for duplicatescheckType
- contextual information around the check, used in an exception messageisCaseSensitive
- Whether to be case sensitive when comparing column names
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findColumnPosition
public static scala.collection.immutable.Seq<Object> findColumnPosition(scala.collection.immutable.Seq<String> column, StructType schema, scala.Function2<String, String, Object> resolver) Returns the given column's ordinal within the givenschema
. The length of the returned position will be as long as how nested the column is.- Parameters:
column
- The column to search for in the given struct. If the length ofcolumn
is greater than 1, we expect to enter a nested field.schema
- The current struct we are looking at.resolver
- The resolver to find the column.- Returns:
- (undocumented)
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getColumnName
public static scala.collection.immutable.Seq<String> getColumnName(scala.collection.immutable.Seq<Object> position, StructType schema) Gets the name of the column in the given position.- Parameters:
position
- (undocumented)schema
- (undocumented)- Returns:
- (undocumented)
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restoreOriginalOutputNames
public static scala.collection.immutable.Seq<org.apache.spark.sql.catalyst.expressions.NamedExpression> restoreOriginalOutputNames(scala.collection.immutable.Seq<org.apache.spark.sql.catalyst.expressions.NamedExpression> projectList, scala.collection.immutable.Seq<String> originalNames) -
escapeMetaCharacters
- Parameters:
str
- The string to be escaped.- Returns:
- The escaped string.
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hasNonUTF8BinaryCollation
Checks if a given data type has a non utf8 binary (implicit) collation type.- Parameters:
dt
- (undocumented)- Returns:
- (undocumented)
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replaceCollatedStringWithString
Replaces any collated string type with non collated StringType recursively in the given data type.- Parameters:
dt
- (undocumented)- Returns:
- (undocumented)
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