IDENTIFIER clause
Description
Converts a constant STRING
expression into a SQL object name.
The purpose of this clause is to allow for templating of identifiers in SQL statements without opening up the risk of SQL injection attacks.
Typically, this clause is used with a parameter marker as argument.
Syntax
IDENTIFIER ( strExpr )
Parameters
- strExpr: A constant
STRING
expression. Typically, the expression includes a parameter marker.
Returns
A (qualified) identifier which can be used as a:
- qualified table name
- namespace name
- function name
- qualified column or attribute reference
Examples
These examples use named parameter markers to templatize queries.
// Creation of a table using parameter marker.
spark.sql("CREATE TABLE IDENTIFIER(:mytab)(c1 INT)", args = Map("mytab" -> "tab1")).show()
spark.sql("DESCRIBE IDENTIFIER(:mytab)", args = Map("mytab" -> "tab1")).show()
+--------+---------+-------+
|col_name|data_type|comment|
+--------+---------+-------+
| c1| int| NULL|
+--------+---------+-------+
// Altering a table with a fixed schema and a parameterized table name.
spark.sql("ALTER TABLE IDENTIFIER('default.' || :mytab) ADD COLUMN c2 INT", args = Map("mytab" -> "tab1")).show()
spark.sql("DESCRIBE IDENTIFIER(:mytab)", args = Map("mytab" -> "default.tab1")).show()
+--------+---------+-------+
|col_name|data_type|comment|
+--------+---------+-------+
| c1| int| NULL|
| c2| int| NULL|
+--------+---------+-------+
// A parameterized reference to a table in a query. This table name is qualified and uses back-ticks.
spark.sql("SELECT * FROM IDENTIFIER(:mytab)", args = Map("mytab" -> "`default`.`tab1`")).show()
+---+---+
| c1| c2|
+---+---+
+---+---+
// You cannot qualify the IDENTIFIER clause or use it as a qualifier itself.
spark.sql("SELECT * FROM myschema.IDENTIFIER(:mytab)", args = Map("mytab" -> "`tab1`")).show()
[INVALID_SQL_SYNTAX.INVALID_TABLE_VALUED_FUNC_NAME] `myschema`.`IDENTIFIER`.
spark.sql("SELECT * FROM IDENTIFIER(:myschema).mytab", args = Map("mychema" -> "`default`")).show()
[PARSE_SYNTAX_ERROR]
// Dropping a table with separate schema and table parameters.
spark.sql("DROP TABLE IDENTIFIER(:myschema || '.' || :mytab)", args = Map("myschema" -> "default", "mytab" -> "tab1")).show()
// A parameterized column reference
spark.sql("SELECT IDENTIFIER(:col) FROM VALUES(1) AS T(c1)", args = Map("col" -> "t.c1")).show()
+---+
| c1|
+---+
| 1|
+---+
// Passing in a function name as a parameter
spark.sql("SELECT IDENTIFIER(:func)(-1)", args = Map("func" -> "abs")).show();
+-------+
|abs(-1)|
+-------+
| 1|
+-------+