本文整理汇总了Python中superset.connectors.druid.models.DruidDatasource类的典型用法代码示例。如果您正苦于以下问题：Python DruidDatasource类的具体用法？Python DruidDatasource怎么用？Python DruidDatasource使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
在下文中一共展示了DruidDatasource类的15个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_get_filters_handles_arrays_for_string_types
def test_get_filters_handles_arrays_for_string_types(self):
filtr = {'col': 'A', 'op': '==', 'val': ['a', 'b']}
res = DruidDatasource.get_filters([filtr], [])
self.assertEqual('a', res.filter['filter']['value'])
filtr = {'col': 'A', 'op': '==', 'val': []}
res = DruidDatasource.get_filters([filtr], [])
self.assertEqual('', res.filter['filter']['value'])示例2: test_get_filters_converts_strings_to_num
def test_get_filters_converts_strings_to_num(self):
filtr = {'col': 'A', 'op': 'in', 'val': ['6']}
res = DruidDatasource.get_filters([filtr], ['A'])
self.assertEqual(6, res.filter['filter']['value'])
filtr = {'col': 'A', 'op': '==', 'val': '6'}
res = DruidDatasource.get_filters([filtr], ['A'])
self.assertEqual(6, res.filter['filter']['value'])示例3: test_druid_type_from_adhoc_metric
def test_druid_type_from_adhoc_metric(self):
druid_type = DruidDatasource.druid_type_from_adhoc_metric({
'column': {'type': 'DOUBLE', 'column_name': 'value'},
'aggregate': 'SUM',
'label': 'My Adhoc Metric',
})
assert(druid_type == 'doubleSum')
druid_type = DruidDatasource.druid_type_from_adhoc_metric({
'column': {'type': 'LONG', 'column_name': 'value'},
'aggregate': 'MAX',
'label': 'My Adhoc Metric',
})
assert(druid_type == 'longMax')
druid_type = DruidDatasource.druid_type_from_adhoc_metric({
'column': {'type': 'VARCHAR(255)', 'column_name': 'value'},
'aggregate': 'COUNT',
'label': 'My Adhoc Metric',
})
assert(druid_type == 'count')
druid_type = DruidDatasource.druid_type_from_adhoc_metric({
'column': {'type': 'VARCHAR(255)', 'column_name': 'value'},
'aggregate': 'COUNT_DISTINCT',
'label': 'My Adhoc Metric',
})
assert(druid_type == 'cardinality')示例4: test_get_filters_converts_strings_to_num
def test_get_filters_converts_strings_to_num(self):
filtr = {'col': 'A', 'op': 'in', 'val': ['6']}
col = DruidColumn(column_name='A')
column_dict = {'A': col}
res = DruidDatasource.get_filters([filtr], ['A'], column_dict)
self.assertEqual(6, res.filter['filter']['value'])
filtr = {'col': 'A', 'op': '==', 'val': '6'}
res = DruidDatasource.get_filters([filtr], ['A'], column_dict)
self.assertEqual(6, res.filter['filter']['value'])示例5: test_get_filters_handles_arrays_for_string_types
def test_get_filters_handles_arrays_for_string_types(self):
filtr = {'col': 'A', 'op': '==', 'val': ['a', 'b']}
col = DruidColumn(column_name='A')
column_dict = {'A': col}
res = DruidDatasource.get_filters([filtr], [], column_dict)
self.assertEqual('a', res.filter['filter']['value'])
filtr = {'col': 'A', 'op': '==', 'val': []}
res = DruidDatasource.get_filters([filtr], [], column_dict)
self.assertIsNone(res.filter['filter']['value'])示例6: test_import_druid_override_idential
def test_import_druid_override_idential(self):
datasource = self.create_druid_datasource(
'copy_cat', id=10004, cols_names=['new_col1', 'col2', 'col3'],
metric_names=['new_metric1'])
imported_id = DruidDatasource.import_obj(
datasource, import_time=1993)
copy_datasource = self.create_druid_datasource(
'copy_cat', id=10004, cols_names=['new_col1', 'col2', 'col3'],
metric_names=['new_metric1'])
imported_id_copy = DruidDatasource.import_obj(
copy_datasource, import_time=1994)
self.assertEquals(imported_id, imported_id_copy)
self.assert_datasource_equals(
copy_datasource, self.get_datasource(imported_id))示例7: test_metrics_and_post_aggs_tree
def test_metrics_and_post_aggs_tree(self):
metrics = ['A', 'B', 'm1', 'm2']
metrics_dict = {}
for i in range(ord('A'), ord('K') + 1):
emplace(metrics_dict, chr(i), True)
for i in range(1, 10):
emplace(metrics_dict, 'm' + str(i), False)
def depends_on(index, fields):
dependents = fields if isinstance(fields, list) else [fields]
metrics_dict[index].json_obj = {'fieldNames': dependents}
depends_on('A', ['m1', 'D', 'C'])
depends_on('B', ['B', 'C', 'E', 'F', 'm3'])
depends_on('C', ['H', 'I'])
depends_on('D', ['m2', 'm5', 'G', 'C'])
depends_on('E', ['H', 'I', 'J'])
depends_on('F', ['J', 'm5'])
depends_on('G', ['m4', 'm7', 'm6', 'A'])
depends_on('H', ['A', 'm4', 'I'])
depends_on('I', ['H', 'K'])
depends_on('J', 'K')
depends_on('K', ['m8', 'm9'])
all_metrics, postaggs = DruidDatasource.metrics_and_post_aggs(
metrics, metrics_dict)
expected_metrics = set(all_metrics)
self.assertEqual(9, len(all_metrics))
for i in range(1, 10):
expected_metrics.remove('m' + str(i))
self.assertEqual(0, len(expected_metrics))
self.assertEqual(11, len(postaggs))
for i in range(ord('A'), ord('K') + 1):
del postaggs[chr(i)]
self.assertEqual(0, len(postaggs))示例8: test_get_filters_constructs_equals_for_in_not_in_single_value
def test_get_filters_constructs_equals_for_in_not_in_single_value(self):
filtr = {'col': 'A', 'op': 'in', 'val': ['a']}
cola = DruidColumn(column_name='A')
colb = DruidColumn(column_name='B')
column_dict = {'A': cola, 'B': colb}
res = DruidDatasource.get_filters([filtr], [], column_dict)
self.assertEqual('selector', res.filter['filter']['type'])示例9: test_get_filters_ignores_in_not_in_with_empty_value
def test_get_filters_ignores_in_not_in_with_empty_value(self):
filtr1 = {'col': 'A', 'op': 'in', 'val': []}
filtr2 = {'col': 'A', 'op': 'not in', 'val': []}
col = DruidColumn(column_name='A')
column_dict = {'A': col}
res = DruidDatasource.get_filters([filtr1, filtr2], [], column_dict)
self.assertIsNone(res)示例10: test_get_filters_constructs_filter_in
def test_get_filters_constructs_filter_in(self):
filtr = {'col': 'A', 'op': 'in', 'val': ['a', 'b', 'c']}
res = DruidDatasource.get_filters([filtr], [])
self.assertIn('filter', res.filter)
self.assertIn('fields', res.filter['filter'])
self.assertEqual('or', res.filter['filter']['type'])
self.assertEqual(3, len(res.filter['filter']['fields']))示例11: test_import_druid_no_metadata
def test_import_druid_no_metadata(self):
datasource, dict_datasource = self.create_druid_datasource(
'pure_druid', id=ID_PREFIX + 1)
imported_cluster = DruidDatasource.import_from_dict(db.session,
dict_datasource)
db.session.commit()
imported = self.get_datasource(imported_cluster.id)
self.assert_datasource_equals(datasource, imported)示例12: test_get_filters_constructs_regex_filter
def test_get_filters_constructs_regex_filter(self):
filtr = {'col': 'A', 'op': 'regex', 'val': '[abc]'}
col = DruidColumn(column_name='A')
column_dict = {'A': col}
res = DruidDatasource.get_filters([filtr], [], column_dict)
self.assertEqual('regex', res.filter['filter']['type'])
self.assertEqual('[abc]', res.filter['filter']['pattern'])
self.assertEqual('A', res.filter['filter']['dimension'])示例13: test_get_filters_constructs_bounds_filter
def test_get_filters_constructs_bounds_filter(self):
filtr = {'col': 'A', 'op': '>=', 'val': 'h'}
res = DruidDatasource.get_filters([filtr], [])
self.assertFalse(res.filter['filter']['lowerStrict'])
self.assertEqual('A', res.filter['filter']['dimension'])
self.assertEqual('h', res.filter['filter']['lower'])
self.assertFalse(res.filter['filter']['alphaNumeric'])
filtr['op'] = '>'
res = DruidDatasource.get_filters([filtr], [])
self.assertTrue(res.filter['filter']['lowerStrict'])
filtr['op'] = '<='
res = DruidDatasource.get_filters([filtr], [])
self.assertFalse(res.filter['filter']['upperStrict'])
self.assertEqual('h', res.filter['filter']['upper'])
filtr['op'] = '<'
res = DruidDatasource.get_filters([filtr], [])
self.assertTrue(res.filter['filter']['upperStrict'])示例14: test_get_filters_constructs_filter_not_equals
def test_get_filters_constructs_filter_not_equals(self):
filtr = {'col': 'A', 'op': '!=', 'val': 'h'}
res = DruidDatasource.get_filters([filtr], [])
self.assertEqual('not', res.filter['filter']['type'])
self.assertEqual(
'h',
res.filter['filter']['field'].filter['filter']['value'],
)示例15: test_import_druid_2_col_2_met
def test_import_druid_2_col_2_met(self):
datasource = self.create_druid_datasource(
'druid_2_col_2_met', id=10003, cols_names=['c1', 'c2'],
metric_names=['m1', 'm2'])
imported_id = DruidDatasource.import_obj(
datasource, import_time=1991)
imported = self.get_datasource(imported_id)
self.assert_datasource_equals(datasource, imported)