The following code calls both UDFs. These calls create two instances of the same class. Each instance returns an independent value, so the example below returns two independent values, rather than returning the same value twice:. One reason to avoid relying on dynamic shared state is that rows are not necessarily processed in a predictable order. Each time a SQL statement is executed, Snowflake can vary the number of batches, the order in which batches are processed, and the order of rows within a batch.
If a scalar UDF is designed so that one row affects the return value for a subsequent row, then the UDF can return different results each time that the UDF is executed. A Java method used as a UDF can use the normal Java exception-handling techniques to catch errors within the method. If an exception occurs inside the method and is not caught by the method, Snowflake raises an error that includes the stack trace for the exception.
You can explicitly throw an exception without catching it in order to end the query and produce a SQL error. When debugging, you can include values in the SQL error message text. To avoid revealing sensitive data, remove argument values prior to deploying JAR files to a production environment. If you need to execute initialization code and do not want to include it in the method that you call, you can put the initialization code into a static initialization block.
Your method and any library methods that you call must act as a pure function, acting only on the data it receives and returning a value based on that data, without causing side-effects. Your code should not attempt to affect the state of the underlying system, other than consuming a reasonable amount of memory and processor time. Java UDFs are executed within a restricted engine.
Neither your code nor the code in library methods that you use should employ any prohibited system calls, including:. Process control. For example, you cannot fork a process. However, you can use multiple threads.
However, conflicts within a query are possible if a single query calls more than one UDF, and those UDFs try to write to the same file name.
Because your code cannot access the network directly or indirectly, you cannot use the code in the Snowflake JDBC Driver to access the database. Your UDF cannot itself act as a client of Snowflake. Snowflake prohibits loading libraries that contain native code as opposed to Java bytecode. Next Previous. Take into account time-zone related issues. Decide how to handle NULL values. BigInteger Must fit into the range of BigInteger no fractional part.
Might result in precision loss. Timestamp Must fit in the range of java. UDFs return an error if they consume too much memory. The specific limit is subject to change. Write your handler method to be thread safe. Avoid storing and sharing dynamic state across rows. However, there are two situations in which you might want a UDF to store shared state: Code that contains expensive initialization logic that you do not want to repeat for each row.
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