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| author |   Robert Yang <liezhi.yang@windriver.com> | 2017-12-27 18:51:37 +0800 |
|---|---|---|
| committer |   Paul Eggleton <paul.eggleton@linux.intel.com> | 2018-02-05 10:58:37 +1300 |
| commit | 6bf6794169e500d3cfb79f2862f344f576049501 (patch) | |
| tree | 6bd285e8c210219d704c39afc6552e77068db525 /settings.py | |
| parent | 2a4fa9a1b8d46c2881b55fd91ce2c1abc7435596 (diff) | |
| download | openembedded-core-contrib-6bf6794169e500d3cfb79f2862f344f576049501.tar.gz | |
update.py: fetch repos in parallel
This can save a lot of time, here is my testing data when PARALLEL_JOBS is 10,
this is the fetch time only, I hacked it to stop when the fetch is done to get
the data (124 layers):
$ update.py -b <branch>
Before: 2m30
Now: 16s
Signed-off-by: Robert Yang <liezhi.yang@windriver.com>
Signed-off-by: Paul Eggleton <paul.eggleton@linux.intel.com>
Diffstat (limited to 'settings.py')
| -rw-r--r-- | settings.py | 3 |
1 files changed, 3 insertions, 0 deletions
diff --git a/settings.py b/settings.py index e26f4b2b35..c70ac4dd62 100644 --- a/settings.py +++ b/settings.py @@ -228,3 +228,6 @@ SUBMIT_EMAIL_SUBJECT = 'OE Layerindex layer submission' # RabbitMQ settings RABBIT_BROKER = 'amqp://' RABBIT_BACKEND = 'rpc://' + +# Used for fetching repo +PARALLEL_JOBS = "4" |