Hey Mike,
I'm not familiar with dbfpy <https://pypi.python.org/pypi/dbfpy/2.3.1> or
how it implements iteration but if no other point in your example consumes
much time, it seems iterating through *dbf_in* might be the issue. As it
implements
__getitem__
<http://dbfpy.bzr.sourceforge.net/bzr/dbfpy/annotate/head%3A/dbfpy/dbf.py#L258>
to serve as a stream, it's possible that this is what costs cycles by
issuing many requests to the blob reader. I would strongly recommend using
Stackdriver
Trace <https://cloud.google.com/trace/docs/trace-overview> to see the life
of a request and where it spends the bulk of its time. Let me know what
you find.
Nicholas
On Tuesday, December 6, 2016 at 1:45:09 PM UTC-5, Mike Lucente wrote:
>
> I'm using dbfpy to read records from a blobstore entry and am unable to
> read 24K records before hitting the 10 minute wall (my process is in a task
> queue). Here's my code:
>
> def get(self):
> count = 0
> cols =
> ['R_MEM_NAME','R_MEM_ID','R_EXP_DATE','R_STATE','R_RATING1','R_RATING2']
>
> blobkey = self.request.get('blobkey')
> blob_reader = blobstore.BlobReader(blobkey)
>
> dbf_in = dbf.Dbf(blob_reader, True)
>
> try:
> if dbf_in.fieldNames[0] == 'R_MEM_NAME':
> pass
> except:
> logging.info("Invalid record type: %s", dbf_in.fieldNames[0])
> return
>
> mysql = mysqlConnect.connect('ratings')
> db = mysql.db
> cursor = db.cursor()
>
> for rec in dbf_in:
> count = count + 1
> if count == 1:
> continue
>
> continue
>
> ---
> This simple loop should finish in seconds. Instead it gets through a few
> thousand records and then hits the wall.
>
> Note the last "continue" that I added to bypass the mysql inserts (that I
> previously thought were the culprit).
>
> I'm stumped and stuck.
>
>
--
You received this message because you are subscribed to the Google Groups
"Google App Engine" group.
To unsubscribe from this group and stop receiving emails from it, send an email
to [email protected].
To post to this group, send email to [email protected].
Visit this group at https://groups.google.com/group/google-appengine.
To view this discussion on the web visit
https://groups.google.com/d/msgid/google-appengine/ba5b7252-e820-403d-9e60-df3ad1e02cbb%40googlegroups.com.
For more options, visit https://groups.google.com/d/optout.
