在BigQuery中,创建表格有多种选项。下面是一些常见的选项及其代码示例解决方法:
from google.cloud import bigquery
# 初始化BigQuery客户端
client = bigquery.Client()
# 定义表格模式
schema = [
bigquery.SchemaField("name", "STRING", mode="REQUIRED"),
bigquery.SchemaField("age", "INTEGER", mode="REQUIRED"),
bigquery.SchemaField("gender", "STRING", mode="NULLABLE"),
]
# 定义表格选项(可选)
options = bigquery.CreateTableOptions(
time_partitioning=bigquery.TimePartitioning(
type_=bigquery.TimePartitioningType.DAY,
field="created_date"
),
clustering_fields=["name"]
)
# 创建表格
table_id = "your_project.your_dataset.your_table"
table = bigquery.Table(table_id, schema=schema)
client.create_table(table, options=options)
from google.cloud import bigquery
# 初始化BigQuery客户端
client = bigquery.Client()
# 定义表格选项(可选)
options = bigquery.CreateTableOptions(
time_partitioning=bigquery.TimePartitioning(
type_=bigquery.TimePartitioningType.DAY,
field="created_date"
),
clustering_fields=["name"]
)
# 创建表格
table_id = "your_project.your_dataset.your_table"
schema_file = "path_to_schema_file.json"
with open(schema_file, "r") as f:
schema = f.read()
table = bigquery.Table(table_id, schema=schema)
client.create_table(table, options=options)
from google.cloud import bigquery
# 初始化BigQuery客户端
client = bigquery.Client()
# 定义表格选项(可选)
options = bigquery.CreateTableOptions(
time_partitioning=bigquery.TimePartitioning(
type_=bigquery.TimePartitioningType.DAY,
field="created_date"
),
clustering_fields=["name"]
)
# 创建表格
table_id = "your_project.your_dataset.your_table"
external_config = bigquery.ExternalConfig("CSV")
external_config.schema = [
bigquery.SchemaField("name", "STRING", mode="REQUIRED"),
bigquery.SchemaField("age", "INTEGER", mode="REQUIRED"),
bigquery.SchemaField("gender", "STRING", mode="NULLABLE"),
]
external_config.source_uris = ["gs://your_bucket/your_data.csv"]
table = bigquery.Table(table_id, external_data_configuration=external_config)
client.create_table(table, options=options)
以上是一些常见的BigQuery表格创建选项及其代码示例解决方法。根据具体需求,可以选择适合的方法来创建表格。
下一篇:Bigquery表更新不及时