async def iterate_in_threadpool( iterator: typing.Iterator[T], iterator: typing.Iterable[T], ) -> typing.AsyncIterator[T]: as_iterator = iter(iterator) while True: try: yield await anyio.to_thread.run_sync(_next, iterator) yield await anyio.to_thread.run_sync(_next, as_iterator) exce...
AI代码助手复制代码 并行处理数据:为了提高处理效率,可以使用iterate结合多线程或多进程技术并行处理数据。 fromconcurrent.futuresimportThreadPoolExecutorimportpandasaspddefprocess_row(row):# 对每行记录执行操作# ...returnrow file_paths = ['file1.csv','file2.csv','file3.csv'] data = pd.read_csv('d...
at org.apache.tomcat.util.net.SocketProcessorBase.run(SocketProcessorBase.java:49) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at org.apache.tomcat.util.threads.TaskThread$WrappingR...
at org.apache.tomcat.util.net.SocketProcessorBase.run(SocketProcessorBase.java:49) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at org.apache.tomcat.util.threads.TaskThread$WrappingR...
Please note that, in case ofparallel: false, APOC is designed to reuse the samejava.util.concurrent.ThreadPoolExecutorwith a maximum pool size equal 1, in order to prevent parallelism; this means that if you want to execute multiple apoc.periodic.iterate each one will be executed when the ...
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