UDF to Catalyst Expressions
To speedup the processing of user defined functions (UDFs), the RAPIDS Accelerator for Apache Spark introduces a UDF compiler extension to translate UDFs to Catalyst expressions.
To enable this operation on the GPU, set spark.rapids.sql.udfCompiler.enabled
to true
.
Be aware Spark may produce different results for a compiled UDF vs. the non-compiled. For example: a UDF of x/y
where y
happens to be 0
, the compiled catalyst expressions will return NULL
while the original UDF would fail the entire job with a java.lang.ArithmeticException: / by zero
When translating UDFs to Catalyst expressions, the supported UDF functions are limited:
Operand type | Operation |
---|---|
Arithmetic Unary | +x |
-x | |
Arithmetic Binary | lhs + rhs |
lhs - rhs | |
lhs * rhs | |
lhs / rhs | |
lhs % rhs | |
Logical | lhs && rhs |
lhs || rhs | |
!x | |
Equality and Relational | lhs == rhs |
lhs < rhs | |
lhs <= rhs | |
lhs > rhs | |
lhs >= rhs | |
Bitwise | lhs & rhs |
lhs | rhs | |
lhs ^ rhs | |
~x | |
lhs « rhs | |
lhs » rhs | |
lhs »> rhs | |
Conditional | if |
case | |
Math | abs(x) |
cos(x) | |
acos(x) | |
asin(x) | |
tan(x) | |
atan(x) | |
tanh(x) | |
cosh(x) | |
ceil(x) | |
floor(x) | |
exp(x) | |
log(x) | |
log10(x) | |
sqrt(x) | |
x.isNaN | |
Type Cast | * |
String | lhs + rhs |
lhs.equalsIgnoreCase(String rhs) | |
x.toUpperCase() | |
x.trim() | |
x.substring(int begin) | |
x.substring(int begin, int end) | |
x.replace(char oldChar, char newChar) | |
x.replace(CharSequence target, CharSequence replacement) | |
x.startsWith(String prefix) | |
lhs.equals(Object rhs) | |
x.toLowerCase() | |
x.length() | |
x.endsWith(String suffix) | |
lhs.concat(String rhs) | |
x.isEmpty() | |
String.valueOf(boolean b) | |
String.valueOf(char c) | |
String.valueOf(double d) | |
String.valueOf(float f) | |
String.valueOf(int i) | |
String.valueOf(long l) | |
x.contains(CharSequence s) | |
x.indexOf(String str) | |
x.indexOf(String str, int fromIndex) | |
x.replaceAll(String regex, String replacement) | |
x.split(String regex) | |
x.split(String regex, int limit) | |
x.getBytes() | |
x.getBytes(String charsetName) | |
Date and Time | LocalDateTime.parse(x, DateTimeFormatter.ofPattern(pattern)).getYear |
LocalDateTime.parse(x, DateTimeFormatter.ofPattern(pattern)).getMonthValue | |
LocalDateTime.parse(x, DateTimeFormatter.ofPattern(pattern)).getDayOfMonth | |
LocalDateTime.parse(x, DateTimeFormatter.ofPattern(pattern)).getHour | |
LocalDateTime.parse(x, DateTimeFormatter.ofPattern(pattern)).getMinute | |
LocalDateTime.parse(x, DateTimeFormatter.ofPattern(pattern)).getSecond | |
Empty array creation | Array.empty[Boolean] |
Array.empty[Byte] | |
Array.empty[Short] | |
Array.empty[Int] | |
Array.empty[Long] | |
Array.empty[Float] | |
Array.empty[Double] | |
Array.empty[String] | |
Arraybuffer | new ArrayBuffer() |
x.distinct | |
x.toArray | |
lhs += rhs | |
lhs :+ rhs | |
Method call | Only if the method being called 1. Consists of operations supported by the UDF compiler, and 2. is one of the folllowing: a final method, a method in a final class, or a method in a final object |
All other expressions, including but not limited to try
and catch
, are unsupported and UDFs with such expressions cannot be compiled.