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fix-iterat
Author | SHA1 | Date | |
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894678da39 | ||
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0a66a4b8a9 |
@ -275,6 +275,8 @@ class BaseQuerySet(object):
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except StopIteration:
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return result
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# If we were able to retrieve the 2nd doc, rewind the cursor and
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# raise the MultipleObjectsReturned exception.
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queryset.rewind()
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message = u'%d items returned, instead of 1' % queryset.count()
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raise queryset._document.MultipleObjectsReturned(message)
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@ -27,9 +27,10 @@ class QuerySet(BaseQuerySet):
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in batches of ``ITER_CHUNK_SIZE``.
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If ``self._has_more`` the cursor hasn't been exhausted so cache then
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batch. Otherwise iterate the result_cache.
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batch. Otherwise iterate the result_cache.
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"""
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self._iter = True
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if self._has_more:
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return self._iter_results()
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@ -42,10 +43,12 @@ class QuerySet(BaseQuerySet):
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"""
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if self._len is not None:
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return self._len
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# Populate the result cache with *all* of the docs in the cursor
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if self._has_more:
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# populate the cache
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list(self._iter_results())
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# Cache the length of the complete result cache and return it
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self._len = len(self._result_cache)
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return self._len
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@ -64,18 +67,33 @@ class QuerySet(BaseQuerySet):
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def _iter_results(self):
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"""A generator for iterating over the result cache.
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Also populates the cache if there are more possible results to yield.
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Raises StopIteration when there are no more results"""
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Also populates the cache if there are more possible results to
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yield. Raises StopIteration when there are no more results.
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"""
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if self._result_cache is None:
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self._result_cache = []
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pos = 0
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while True:
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upper = len(self._result_cache)
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while pos < upper:
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# For all positions lower than the length of the current result
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# cache, serve the docs straight from the cache w/o hitting the
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# database.
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# XXX it's VERY important to compute the len within the `while`
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# condition because the result cache might expand mid-iteration
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# (e.g. if we call len(qs) inside a loop that iterates over the
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# queryset). Fortunately len(list) is O(1) in Python, so this
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# doesn't cause performance issues.
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while pos < len(self._result_cache):
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yield self._result_cache[pos]
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pos += 1
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# Raise StopIteration if we already established there were no more
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# docs in the db cursor.
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if not self._has_more:
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raise StopIteration
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# Otherwise, populate more of the cache and repeat.
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if len(self._result_cache) <= pos:
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self._populate_cache()
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@ -86,12 +104,22 @@ class QuerySet(BaseQuerySet):
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"""
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if self._result_cache is None:
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self._result_cache = []
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if self._has_more:
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try:
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for i in xrange(ITER_CHUNK_SIZE):
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self._result_cache.append(self.next())
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except StopIteration:
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self._has_more = False
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# Skip populating the cache if we already established there are no
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# more docs to pull from the database.
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if not self._has_more:
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return
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# Pull in ITER_CHUNK_SIZE docs from the database and store them in
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# the result cache.
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try:
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for i in xrange(ITER_CHUNK_SIZE):
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self._result_cache.append(self.next())
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except StopIteration:
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# Getting this exception means there are no more docs in the
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# db cursor. Set _has_more to False so that we can use that
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# information in other places.
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self._has_more = False
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def count(self, with_limit_and_skip=False):
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"""Count the selected elements in the query.
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@ -4890,6 +4890,56 @@ class QuerySetTest(unittest.TestCase):
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self.assertEqual(1, Doc.objects(item__type__="axe").count())
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def test_len_during_iteration(self):
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"""Tests that calling len on a queyset during iteration doesn't
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stop paging.
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"""
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class Data(Document):
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pass
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for i in xrange(300):
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Data().save()
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records = Data.objects.limit(250)
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# This should pull all 250 docs from mongo and populate the result
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# cache
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len(records)
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# Assert that iterating over documents in the qs touches every
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# document even if we call len(qs) midway through the iteration.
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for i, r in enumerate(records):
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if i == 58:
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len(records)
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self.assertEqual(i, 249)
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# Assert the same behavior is true even if we didn't pre-populate the
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# result cache.
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records = Data.objects.limit(250)
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for i, r in enumerate(records):
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if i == 58:
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len(records)
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self.assertEqual(i, 249)
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def test_iteration_within_iteration(self):
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"""You should be able to reliably iterate over all the documents
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in a given queryset even if there are multiple iterations of it
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happening at the same time.
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"""
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class Data(Document):
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pass
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for i in xrange(300):
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Data().save()
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qs = Data.objects.limit(250)
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for i, doc in enumerate(qs):
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for j, doc2 in enumerate(qs):
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pass
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self.assertEqual(i, 249)
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self.assertEqual(j, 249)
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if __name__ == '__main__':
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unittest.main()
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