/
test_load.py
163 lines (131 loc) · 7.58 KB
/
test_load.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
from optimus.tests.base import TestBase
class TestLoadPandas(TestBase):
def test_json(self):
df = self.load_dataframe("examples/data/foo.json", type="json", multiline=True)
self.assertEqual(df.rows.count(), 19)
self.assertEqual(df.cols.names(), ["id", "firstName", "lastName", "billingId", "product", "price", "birth", "dummyCol"])
self.assertEqual(self.config.get("n_partitions", 1), df.partitions())
def test_json_less_rows(self):
df = self.load_dataframe("examples/data/foo.json", type="json", n_rows=13)
self.assertEqual(df.rows.count(), 13)
self.assertEqual(df.cols.names(), ["id", "firstName", "lastName", "billingId", "product", "price", "birth", "dummyCol"])
self.assertEqual(self.config.get("n_partitions", 1), df.partitions())
def test_json_more_rows(self):
df = self.load_dataframe("examples/data/foo.json", type="json", n_rows=50)
self.assertLess(df.rows.count(), 50)
self.assertEqual(df.cols.names(), ["id", "firstName", "lastName", "billingId", "product", "price", "birth", "dummyCol"])
self.assertEqual(self.config.get("n_partitions", 1), df.partitions())
def test_xml(self):
df = self.load_dataframe("examples/data/foo.xml", type="xml")
self.assertEqual(df.rows.count(), 19)
self.assertEqual(df.cols.names(), ["id", "firstName", "lastName", "billingId", "product", "price", "birth", "dummyCol"])
self.assertEqual(self.config.get("n_partitions", 1), df.partitions())
def test_xml_less_rows(self):
df = self.load_dataframe("examples/data/foo.xml", type="xml", n_rows=13)
self.assertEqual(df.rows.count(), 13)
self.assertEqual(df.cols.names(), ["id", "firstName", "lastName", "billingId", "product", "price", "birth", "dummyCol"])
self.assertEqual(self.config.get("n_partitions", 1), df.partitions())
def test_xml_more_rows(self):
df = self.load_dataframe("examples/data/foo.xml", type="xml", n_rows=50)
self.assertLess(df.rows.count(), 50)
self.assertEqual(df.cols.names(), ["id", "firstName", "lastName", "billingId", "product", "price", "birth", "dummyCol"])
self.assertEqual(self.config.get("n_partitions", 1), df.partitions())
def test_parquet(self):
df = self.load_dataframe("examples/data/foo.parquet", type="parquet")
self.assertEqual(df.rows.count(), 19)
self.assertEqual(df.cols.names(), ["id", "firstName", "lastName", "billingId", "product", "price", "birth", "dummyCol"])
self.assertEqual(self.config.get("n_partitions", 1), df.partitions())
def test_parquet_less_rows(self):
df = self.load_dataframe("examples/data/foo.parquet", type="parquet", n_rows=13)
self.assertEqual(df.rows.count(), 13)
self.assertEqual(df.cols.names(), ["id", "firstName", "lastName", "billingId", "product", "price", "birth", "dummyCol"])
self.assertEqual(self.config.get("n_partitions", 1), df.partitions())
def test_parquet_more_rows(self):
df = self.load_dataframe("examples/data/foo.parquet", type="parquet", n_rows=50)
self.assertLess(df.rows.count(), 50)
self.assertEqual(df.cols.names(), ["id", "firstName", "lastName", "billingId", "product", "price", "birth", "dummyCol"])
self.assertEqual(self.config.get("n_partitions", 1), df.partitions())
def test_avro(self):
df = self.load_dataframe("examples/data/foo.avro", type="avro")
self.assertEqual(df.rows.count(), 19)
self.assertEqual(df.cols.names(), ["id", "firstName", "lastName", "billingId", "product", "price", "birth", "dummyCol"])
self.assertEqual(self.config.get("n_partitions", 1), df.partitions())
def test_avro_less_rows(self):
df = self.load_dataframe("examples/data/foo.avro", type="avro", n_rows=13)
self.assertEqual(df.rows.count(), 13)
self.assertEqual(df.cols.names(), ["id", "firstName", "lastName", "billingId", "product", "price", "birth", "dummyCol"])
self.assertEqual(self.config.get("n_partitions", 1), df.partitions())
def test_avro_more_rows(self):
df = self.load_dataframe("examples/data/foo.avro", type="avro", n_rows=50)
self.assertLess(df.rows.count(), 50)
self.assertEqual(df.cols.names(), ["id", "firstName", "lastName", "billingId", "product", "price", "birth", "dummyCol"])
self.assertEqual(self.config.get("n_partitions", 1), df.partitions())
def test_tsv(self):
df = self.load_dataframe("examples/data/foo.tsv", type="tsv")
self.assertEqual(df.rows.count(), 5)
self.assertEqual(df.cols.names(), ["Sepal length", "Sepal width", "Petal length", "Petal width", "Species"])
self.assertEqual(self.config.get("n_partitions", 1), df.partitions())
def test_tsv_less_rows(self):
df = self.load_dataframe("examples/data/foo.tsv", type="tsv", n_rows=3)
self.assertEqual(df.rows.count(), 3)
self.assertEqual(df.cols.names(), ["Sepal length", "Sepal width", "Petal length", "Petal width", "Species"])
self.assertEqual(self.config.get("n_partitions", 1), df.partitions())
def test_tsv_more_rows(self):
df = self.load_dataframe("examples/data/foo.tsv", type="tsv", n_rows=50)
self.assertLess(df.rows.count(), 50)
self.assertEqual(df.cols.names(), ["Sepal length", "Sepal width", "Petal length", "Petal width", "Species"])
self.assertEqual(self.config.get("n_partitions", 1), df.partitions())
def test_xls(self):
df = self.load_dataframe("examples/data/titanic3.xls", type="excel")
self.assertEqual(df.rows.count(), 1309)
self.assertEqual(df.cols.names(), ["pclass", "survived", "name", "sex", "age", "sibsp", "parch", "ticket", "fare", "cabin", "embarked", "boat", "body", "home.dest"])
self.assertEqual(self.config.get("n_partitions", 1), df.partitions())
def test_xls_less_rows(self):
df = self.load_dataframe("examples/data/titanic3.xls", type="excel", n_rows=13)
self.assertEqual(df.rows.count(), 13)
self.assertEqual(df.cols.names(), ["pclass", "survived", "name", "sex", "age", "sibsp", "parch", "ticket", "fare", "cabin", "embarked", "boat", "body", "home.dest"])
self.assertEqual(self.config.get("n_partitions", 1), df.partitions())
def test_xls_more_rows(self):
df = self.load_dataframe("examples/data/titanic3.xls", type="excel", n_rows=50)
self.assertLess(df.rows.count(), 5000)
self.assertEqual(df.cols.names(), ["pclass", "survived", "name", "sex", "age", "sibsp", "parch", "ticket", "fare", "cabin", "embarked", "boat", "body", "home.dest"])
self.assertEqual(self.config.get("n_partitions", 1), df.partitions())
class TestLoadDask(TestLoadPandas):
config = {'engine': 'dask', 'n_partitions': 1}
class TestLoadPartitionDask(TestLoadPandas):
config = {'engine': 'dask', 'n_partitions': 2}
try:
import cudf # pyright: reportMissingImports=false
except:
pass
else:
class TestLoadCUDF(TestLoadPandas):
config = {'engine': 'cudf'}
try:
import dask_cudf # pyright: reportMissingImports=false
except:
pass
else:
class TestLoadDC(TestLoadPandas):
config = {'engine': 'dask_cudf', 'n_partitions': 1}
try:
import dask_cudf # pyright: reportMissingImports=false
except:
pass
else:
class TestLoadPartitionDC(TestLoadPandas):
config = {'engine': 'dask_cudf', 'n_partitions': 2}
try:
import pyspark
except:
pass
else:
class TestLoadSpark(TestLoadPandas):
config = {'engine': 'spark'}
try:
import vaex
except:
pass
else:
class TestLoadVaex(TestLoadPandas):
config = {'engine': 'vaex'}