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test_mapreduce_utils.py
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test_mapreduce_utils.py
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import os
import sys
import operator
import math
import unittest2 as unittest
from google.appengine.ext import db
from google.appengine.ext import testbed
from mapreduce import model
from mapreduce_utils import DatastoreQueryInputReader
from mapreduce_utils import KeyRange
class TestEntity(db.Model):
name = db.StringProperty()
value = db.StringProperty()
type = db.StringProperty(choices=['A', 'B', 'C'])
class DatastoreQueryInputReaderTest(unittest.TestCase):
_old_sys_path = sys.path
_tests_dir_path = sys.path.insert(0, os.path.dirname(__file__))
@staticmethod
def simple_parametrized_filter_factory(type, *args, **kwargs):
return lambda item, type=type: item.type == type
def setUp(self):
sys.path = self._tests_dir_path
self.TestEntity = TestEntity
self.TEST_ENTITY_IMPORT_PATH = "test_mapreduce_utils.TestEntity"
self.testbed = testbed.Testbed()
self.testbed.activate()
self.testbed.init_datastore_v3_stub()
self.dataSet = (
# type A
dict(type="A", name="name1", value="value1"),
# type B
dict(type="B", name="name1", value="value1"),
dict(type="B", name="name2", value="value2"),
# type C
dict(type="C", name="name1", value="value1"),
dict(type="C", name="name2", value="value2"),
dict(type="C", name="name3", value="value3"),
)
db.put([self.TestEntity(**data) for data in self.dataSet])
def tearDown(self):
self.testbed.deactivate()
sys.path = self._old_sys_path
def test_world(self):
SHARD_COUNT = 10
mapper_spec = model.MapperSpec(
"FooHandler",
"mapreduce_utils.DatastoreQueryInputReader",
{
"input_reader": {
"entity_kind": self.TEST_ENTITY_IMPORT_PATH,
}
},
SHARD_COUNT)
ds_input_readers = DatastoreQueryInputReader.split_input(mapper_spec)
got = reduce(operator.add,
(list(reader) for reader in ds_input_readers))
self.assertEqual(len(self.dataSet), len(got))
def test_split_input(self):
SHARD_COUNT = 10
BATCH_SIZE = 2
mapper_spec = model.MapperSpec(
"FooHandler",
"mapreduce_utils.DatastoreQueryInputReader",
{
"input_reader": {
"entity_kind": self.TEST_ENTITY_IMPORT_PATH,
"batch_size": BATCH_SIZE,
}
},
SHARD_COUNT)
def num_expected():
batch_size = min(len(self.dataSet), BATCH_SIZE)
free_division = abs(len(self.dataSet) / batch_size)
return min(free_division, SHARD_COUNT)
ds_input_readers = DatastoreQueryInputReader.split_input(mapper_spec)
self.assertEqual(3, num_expected()) # 1-3, 3-5, 5-None
self.assertEqual(3, len(ds_input_readers))
# batch_size = dataSet bigger half
BATCH_SIZE = int(math.ceil(len(self.dataSet) / 2.0))
mapper_spec = model.MapperSpec(
"FooHandler",
"mapreduce_utils.DatastoreQueryInputReader",
{
"input_reader": {
"entity_kind": self.TEST_ENTITY_IMPORT_PATH,
"batch_size": BATCH_SIZE,
}
},
SHARD_COUNT)
ds_input_readers = DatastoreQueryInputReader.split_input(mapper_spec)
self.assertEqual(2, num_expected()) # 1-4, 4-None
self.assertEqual(2, len(ds_input_readers))
# batch_size > dataSet itself
BATCH_SIZE = len(self.dataSet) * 2
mapper_spec = model.MapperSpec(
"FooHandler",
"mapreduce_utils.DatastoreQueryInputReader",
{
"input_reader": {
"entity_kind": self.TEST_ENTITY_IMPORT_PATH,
"batch_size": BATCH_SIZE,
}
},
SHARD_COUNT)
ds_input_readers = DatastoreQueryInputReader.split_input(mapper_spec)
self.assertEqual(1, num_expected()) # 1-None
self.assertEqual(1, len(ds_input_readers))
def test_with_query_filters(self):
SHARD_COUNT = 10
mapper_spec = model.MapperSpec(
"FooHandler",
"mapreduce_utils.DatastoreQueryInputReader",
{
"input_reader": {
"entity_kind": self.TEST_ENTITY_IMPORT_PATH,
"filters": [("type", "=", "C")],
}
},
SHARD_COUNT)
ds_input_readers = DatastoreQueryInputReader.split_input(mapper_spec)
got = reduce(operator.add,
(list(reader) for reader in ds_input_readers))
self.assertEqual(3, len(got))
data1, data2, data3 = filter(lambda i: i['type'] == "C", self.dataSet)
got.sort(key=lambda i: i.name)
self.assertDictEqual(data1, db.to_dict(got.pop(0)))
self.assertDictEqual(data2, db.to_dict(got.pop(0)))
self.assertDictEqual(data3, db.to_dict(got.pop(0)))
def test_with_filter_factory(self):
SHARD_COUNT = 10
FF_PATH = \
"test_mapreduce_utils.DatastoreQueryInputReaderTest." \
"simple_parametrized_filter_factory"
params = {
"input_reader": {
"entity_kind": self.TEST_ENTITY_IMPORT_PATH,
"filter_factory_spec": {
"name": FF_PATH,
"args": ["B"]
}
}
}
mapper_spec = model.MapperSpec(
"FooHandler",
"mapreduce_utils.DatastoreQueryInputReader",
params,
SHARD_COUNT)
ds_input_readers = DatastoreQueryInputReader.split_input(mapper_spec)
got = reduce(operator.add,
(list(reader) for reader in ds_input_readers))
self.assertEqual(2, len(got))
data1, data2, = filter(lambda i: i['type'] == "B", self.dataSet)
got.sort(key=lambda i: i.name)
self.assertDictEqual(data1, db.to_dict(got.pop(0)))
self.assertDictEqual(data2, db.to_dict(got.pop(0)))
class KeyRangeTest(unittest.TestCase):
class TestEntity(db.Model):
name = db.StringProperty()
value = db.StringProperty()
def setUp(self):
self.testbed = testbed.Testbed()
self.testbed.activate()
self.testbed.init_datastore_v3_stub()
self.dataSet = (
dict(name='name1', value='val1'),
dict(name='name2', value='val2'),
dict(name='name3', value='val3'))
db.put([self.TestEntity(**data) for data in self.dataSet])
def tearDown(self):
self.testbed.deactivate()
def test_world(self):
"""foo test"""
query = KeyRange().make_query(self.TestEntity)
self.assertEqual(3, len(list(query)))
def test_filters(self):
data1, data2, data3 = self.dataSet[:3]
query = KeyRange().make_ascending_query(
self.TestEntity,
filters=[("name", "=", data1["name"])])
got = list(query)
self.assertEqual(1, len(got))
self.assertDictEqual(data1, db.to_dict(got.pop()))
query = KeyRange().make_query(
self.TestEntity,
filters=[("name", "IN", [data1["name"], data2["name"]])],
order=['name'])
got = list(query)
self.assertEqual(2, len(got))
self.assertDictEqual(data1, db.to_dict(got.pop(0)))
self.assertDictEqual(data2, db.to_dict(got.pop(0)))