根据这个汇合页面:
https://cwiki.apache.org/confluence/display/FLINK/FLIP-106%3A+Support+Python+UDF+in+SQL+Function+DDL
Flink 1.11中的python-udf可用于SQL函数中。
我去了这里的flink文档:
https://ci.apache.org/projects/flink/flink-docs-stable/dev/table/sqlClient.html
并在终端上尝试此操作,然后使用以下参数启动sql客户端.sh:
$ sql-client.sh embedded --pyExecutable /Users/jonathanfigueroa/opt/anaconda3/bin/python --pyFiles /Users/jonathanfigueroa/Desktop/pyflink/inference/test1.py
然后:
> Create Temporary System Function func1 as 'test1.func1' Language PYTHON;
[INFO] Function has been created.
当我尝试时:
> Select func1(str) From (VALUES ("Name1", "Name2", "Name3"));
[ERROR] Could not execute SQL statement. Reason:
java.lang.IllegalStateException: Instantiating python function 'test1.func1' failed.
我试着在每一个单独的组合.zip, .py
中使用:-pyarch,--pyArchives, -pyexec,--pyExecutable, -pyfs,--pyFiles
,并且总是得到相同的结果。
顺便说一句,我的python文件看起来像这样:
def func1(s):
return s;
我缺什么了吗?
诚挚的问候,
Jonathan
python UDF应该用"udf";pyflink.table.udf
中的decorator,如下所示:
from pyflink.table.types import DataTypes
from pyflink.table.udf import udf
@udf(input_types=[DataTypes.INT()], result_type=DataTypes.INT())
def add_one(a):
return a + 1
在启动sql客户端时,需要加载flink python jar,如下所示:
$ cd $FLINK_HOME/bin
$ ./start-cluster.sh
$ ./sql-client.sh embedded -pyfs xxx.py -j ../opt/flink-python_2.11-1.11.0.jar
此外,您需要将taskmanager.memory.task.off-heap.size: 79mb
添加到$FLINK_HOME/conf/flink-conf.yaml
或其他可用于设置配置的文件(例如sql客户端环境文件(,否则在执行python udf:时会出错
[ERROR] Could not execute SQL statement. Reason:
org.apache.flink.table.api.TableException: The configured Task Off-Heap Memory 0 bytes is less than the least required Python worker Memory 79 mb. The Task Off-Heap Memory can be configured using the configuration key'taskmanager.memory .task.off-heap.size'.
最佳,
Wei