10-15-2023 04:24 AM
i created one function using jar file which is present in the cluster location, but when executing the hive query it is showing error as no handler for udf/udaf/udtf . this queries is running fine in hd insight clusters but when running in databricks it is showing error.
10-16-2023 03:49 AM - edited 10-16-2023 03:50 AM
Hi @databicky ,
You can use the jar tf
command to list the files inside a JAR file and then use dbutils.fs.head
to view the contents of the individual files.
HereYou can extract the contents of a JAR file in Databricks by using the jar xf <jar-file>
command in a %sh
shell command in a notebook cell. This command extracts the contents of the JAR file into the current directory.
Here's an example code snippet:
%sh
jar xf jspark.jar
ls -R
This command extracts all of the files from the "jspark.jar" file into the current directory. The ls -R
command lists all of the files in the current directory recursively, which allows you to see the extracted files.
If you want to view or modify the Java code inside the JAR file, you can decompile the code using a Java decompiler program such as JD-GUI or Fernflower. These programs can decompile the .class files inside the JAR file into Java code that you can view, modify, or recompile.
Here's an example code snippet for decompiling a JAR file using JD-GUI:
%sh
# Download the JD-GUI Java decompiler
wget https://github.com/java-decompiler/jd-gui/releases/download/v1.6.6/jd-gui-1.6.6.jar -O jd-gui.jar
# Run JD-GUI and open the JAR file
java -jar jd-gui.jar jspark.jar
This command downloads the JD-GUI decompiler program and then runs it to open the JAR file. You can use the JD-GUI program to view the decompiled Java code within the JAR file.
10-16-2023 01:22 AM - edited 10-16-2023 01:23 AM
Hi @databicky ,
The error message "No handler for UDF/UDAF/UDTF" typically occurs when Spark cannot locate the UDF/UDAF/UDTF you registered. This can happen if the JAR file containing the UDF/UDAF/UDTF is not correctly loaded into Spark or the function signature is not precisely defined.
To resolve this issue, you can try the following steps:
spark.conf.get("spark.jars")
spark.conf.set("spark.jars", "/path/to/your/jar/file.jar")
/path/to/your/jar/file.jar
with the actual path to the jar file.Verify that the function signature is correctly defined. The function's signature determines the number and types of input arguments and the return type. If the signature is not correctly defined, Spark may be unable to locate and execute the function.
You can verify the function signature using the following command
spark.catalog.listFunctions()
This will list all the functions registered with Spark. Verify that the function name, input arguments, and return type are correctly defined.
Ensure you correctly call the UDF/UDAF/UDTF in your Spark SQL query. The function name and input arguments must match the registered UDF/UDAF/UDTF.
For example, to call a UDF named my_udf
taking one integer argument, you would use it in a query like this
from pyspark.sql.functions import udf
my_udf = udf(lambda x: x * 2, IntegerType())
spark.udf.register("my_udf", my_udf)
spark.sql("SELECT my_udf(id) as doubled_id FROM my_table")
my_udf
takes one input argument id
and returns doubled_id
. When called, my_udf
multiplies the input argument id
by 2
.10-16-2023 02:16 AM
Thanks kaniz, is there any chance to view that jar file code? i tried dbutils.fs.head but the output is not in proper format. that jar file is the existing one. could you please help me on tht
10-16-2023 03:49 AM - edited 10-16-2023 03:50 AM
Hi @databicky ,
You can use the jar tf
command to list the files inside a JAR file and then use dbutils.fs.head
to view the contents of the individual files.
HereYou can extract the contents of a JAR file in Databricks by using the jar xf <jar-file>
command in a %sh
shell command in a notebook cell. This command extracts the contents of the JAR file into the current directory.
Here's an example code snippet:
%sh
jar xf jspark.jar
ls -R
This command extracts all of the files from the "jspark.jar" file into the current directory. The ls -R
command lists all of the files in the current directory recursively, which allows you to see the extracted files.
If you want to view or modify the Java code inside the JAR file, you can decompile the code using a Java decompiler program such as JD-GUI or Fernflower. These programs can decompile the .class files inside the JAR file into Java code that you can view, modify, or recompile.
Here's an example code snippet for decompiling a JAR file using JD-GUI:
%sh
# Download the JD-GUI Java decompiler
wget https://github.com/java-decompiler/jd-gui/releases/download/v1.6.6/jd-gui-1.6.6.jar -O jd-gui.jar
# Run JD-GUI and open the JAR file
java -jar jd-gui.jar jspark.jar
This command downloads the JD-GUI decompiler program and then runs it to open the JAR file. You can use the JD-GUI program to view the decompiled Java code within the JAR file.
11-03-2023 02:53 AM
@Kaniz this post i can't edit
11-03-2023 03:35 AM
@Kaniz how to edit this post?