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Python Dataset.summaries方法代碼示例

本文整理匯總了Python中moztelemetry.dataset.Dataset.summaries方法的典型用法代碼示例。如果您正苦於以下問題:Python Dataset.summaries方法的具體用法?Python Dataset.summaries怎麽用?Python Dataset.summaries使用的例子?那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在moztelemetry.dataset.Dataset的用法示例。


在下文中一共展示了Dataset.summaries方法的4個代碼示例,這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚,您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: test_scan_multiple_where_params

# 需要導入模塊: from moztelemetry.dataset import Dataset [as 別名]
# 或者: from moztelemetry.dataset.Dataset import summaries [as 別名]
def test_scan_multiple_where_params(spark_context):
    bucket_name = 'test-bucket'
    store = InMemoryStore(bucket_name)
    store.store['dir1/subdir1/key1'] = 'value1'
    store.store['dir1/another-dir/key2'] = 'value2'
    dataset = Dataset(bucket_name, ['dim1', 'dim2'], store=store).where(dim1='dir1', dim2='subdir1')
    summaries = dataset.summaries(spark_context)
    expected_key = 'dir1/subdir1/key1'
    assert summaries == [{'key': expected_key, 'size': len(store.store[expected_key])}]
開發者ID:Dexterp37,項目名稱:python_moztelemetry,代碼行數:11,代碼來源:test_dataset.py

示例2: test_summaries_with_limit

# 需要導入模塊: from moztelemetry.dataset import Dataset [as 別名]
# 或者: from moztelemetry.dataset.Dataset import summaries [as 別名]
def test_summaries_with_limit(spark_context):
    bucket_name = 'test-bucket'
    store = InMemoryStore(bucket_name)
    store.store['dir1/subdir1/key1'] = 'value1'
    store.store['dir2/subdir2/key2'] = 'value2'
    dataset = Dataset(bucket_name, ['dim1', 'dim2'], store=store, max_concurrency=1)
    summaries = dataset.summaries(spark_context, 1)

    assert len(summaries) == 1

    assert summaries[0]['key'] in store.store
開發者ID:mozilla,項目名稱:python_moztelemetry,代碼行數:13,代碼來源:test_dataset.py

示例3: test_summaries

# 需要導入模塊: from moztelemetry.dataset import Dataset [as 別名]
# 或者: from moztelemetry.dataset.Dataset import summaries [as 別名]
def test_summaries(spark_context):
    bucket_name = 'test-bucket'
    store = InMemoryStore(bucket_name)
    store.store['dir1/subdir1/key1'] = 'value1'
    store.store['dir2/subdir2/key2'] = 'value2'

    dataset = Dataset(bucket_name, ['dim1', 'dim2'], store=store, max_concurrency=1)

    summaries = dataset.summaries(spark_context)
    assert len(summaries) == 2

    for item in summaries:
        assert item['key'] in store.store
        assert item['size'] == len(store.store[item['key']])
開發者ID:mozilla,項目名稱:python_moztelemetry,代碼行數:16,代碼來源:test_dataset.py

示例4: test_prefix_slash

# 需要導入模塊: from moztelemetry.dataset import Dataset [as 別名]
# 或者: from moztelemetry.dataset.Dataset import summaries [as 別名]
def test_prefix_slash(spark_context):
    bucket_name = 'test-bucket'
    store = InMemoryStore(bucket_name)
    store.store['a/b/dir1/subdir1/key1'] = 'value1'
    store.store['a/b/dir2/subdir2/key2'] = 'value2'
    store.store['x/b/dir3/subdir3/key3'] = 'value3'
    store.store['a/c/dir4/subdir4/key4'] = 'value4'

    dataset = Dataset(bucket_name, ['dim1', 'dim2'], store=store, prefix='a/b', max_concurrency=1)

    summaries = dataset.summaries(spark_context)
    assert len(summaries) == 2

    for item in summaries:
        assert item['key'] in store.store
        assert item['size'] == len(store.store[item['key']])

    # be sure "where" still works
    summaries_filtered = dataset.where(dim1='dir1').summaries(spark_context)
    assert len(summaries_filtered) == 1
    assert summaries_filtered[0]['key'] == 'a/b/dir1/subdir1/key1'
開發者ID:mozilla,項目名稱:python_moztelemetry,代碼行數:23,代碼來源:test_dataset.py


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