Lambda toobig seatbelts #172
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This brings up the question: Should we download the runtime before the user data/func pickles? |
pywren/wrenhandler.py
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| @@ -32,6 +32,8 @@ | |||
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| PROCESS_STDOUT_SLEEP_SECS = 2 | |||
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| TMP_MIN_FREE_SPACE_BYTES = 10000000 | |||
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nit - can we add a comment above this "Leave at least 10MB free space" or something like that
pywren/wrenhandler.py
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| condatar.extractall(runtime_etag_dir) | ||
| try: | ||
| condatar.extractall(runtime_etag_dir) | ||
| except: |
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Is there a particular exception that indicates the tarball was too big ? I guess there could be other errors like corrupt runtimes etc.
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Good question, I will dig further!
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| func_key_size = get_key_size(s3_client, s3_bucket, func_key) | ||
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| free_disk_bytes = free_disk_space("/tmp") |
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is /tmp hardcoded elsewhere as well or is there some variable we can use here cc @apengwin
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/tmp is hardcoded in current wrenhandler. The portability PR abstracts this out to a generic TEMP variable that's set at the beginning, depending on what OS is running
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It is actually hardcoded in the runtimes as well. Unfortunately there are some absolute path dependencies that continue to be a problem in the way conda is packaged.
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So remember right now we only support running under the python2 runtime for the handler; it's for all the exceptions that I wouldn't otherwise catch, to make sure we have a way to clean up the extracted runtime. |
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Ah got it. I forgot the handler was python2 specific. Sounds good. |
This is a series of fixes to handle:
if the runtime is too big, communicate to the user and execute proper cleanup on the worker so the worker isn't forever broken. (issue Too big of runtime #105)
If downloading the func or the data is too large for the remaining space, error as well.