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docs/en/docs/img/deployment/concepts/process-ram.drawio
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docs/en/docs/img/deployment/concepts/process-ram.svg
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docs/en/docs/deployment/concepts.md
### Multiple Processes - An Example In this example, there's a **Manager Process** that starts and controls two **Worker Processes**. This Manager Process would probably be the one listening on the **port** in the IP. And it would transmit all the communication to the worker processes.
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android/guava/src/com/google/common/hash/AbstractStreamingHasher.java
/** Number of bytes to be filled before process() invocation(s). */ private final int bufferSize; /** Number of bytes processed per process() invocation. */ private final int chunkSize; /** * Constructor for use by subclasses. This hasher instance will process chunks of the specified * size. * * @param chunkSize the number of bytes available per {@link #process(ByteBuffer)} invocation; * must be at least 4
Java - Registered: Fri Apr 19 12:43:09 GMT 2024 - Last Modified: Wed Jun 15 20:59:00 GMT 2022 - 7.1K bytes - Viewed (0) -
src/main/java/org/codelibs/fess/helper/ProcessHelper.java
final CountDownLatch latch = new CountDownLatch(3); final Process process = jobProcess.getProcess(); new Thread(() -> { try { CloseableUtil.closeQuietly(process.getInputStream()); } catch (final Exception e) { logger.warn("Could not close a process input stream.", e); } finally { latch.countDown();
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docs_src/extra_data_types/tutorial001_an_py39.py
process_after: Annotated[timedelta, Body()], repeat_at: Annotated[Union[time, None], Body()] = None, ): start_process = start_datetime + process_after duration = end_datetime - start_process return { "item_id": item_id, "start_datetime": start_datetime, "end_datetime": end_datetime, "process_after": process_after, "repeat_at": repeat_at,
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docs/en/docs/deployment/server-workers.md
But Gunicorn supports working as a **process manager** and allowing users to tell it which specific **worker process class** to use. Then Gunicorn would start one or more **worker processes** using that class. And **Uvicorn** has a **Gunicorn-compatible worker class**.
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docs_src/extra_data_types/tutorial001_an_py310.py
end_datetime: Annotated[datetime, Body()], process_after: Annotated[timedelta, Body()], repeat_at: Annotated[time | None, Body()] = None, ): start_process = start_datetime + process_after duration = end_datetime - start_process return { "item_id": item_id, "start_datetime": start_datetime, "end_datetime": end_datetime, "process_after": process_after, "repeat_at": repeat_at,
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docs_src/extra_data_types/tutorial001_an.py
process_after: Annotated[timedelta, Body()], repeat_at: Annotated[Union[time, None], Body()] = None, ): start_process = start_datetime + process_after duration = end_datetime - start_process return { "item_id": item_id, "start_datetime": start_datetime, "end_datetime": end_datetime, "process_after": process_after, "repeat_at": repeat_at,
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docs_src/extra_data_types/tutorial001.py
end_datetime: datetime = Body(), process_after: timedelta = Body(), repeat_at: Union[time, None] = Body(default=None), ): start_process = start_datetime + process_after duration = end_datetime - start_process return { "item_id": item_id, "start_datetime": start_datetime, "end_datetime": end_datetime, "process_after": process_after, "repeat_at": repeat_at,
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