聚簇表
使用集合让一切井井有条
根据您的偏好保存内容并对其进行分类。
将数据从 Cloud Storage 上的 CSV 文件加载到聚簇表中。
深入探索
如需查看包含此代码示例的详细文档,请参阅以下内容:
代码示例
如未另行说明,那么本页面中的内容已根据知识共享署名 4.0 许可获得了许可,并且代码示例已根据 Apache 2.0 许可获得了许可。有关详情,请参阅 Google 开发者网站政策。Java 是 Oracle 和/或其关联公司的注册商标。
[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],[],[[["This page provides code samples in Go, Java, Node.js, and Python demonstrating how to load data from a CSV file in Cloud Storage into a clustered table in BigQuery."],["The code examples utilize BigQuery client libraries to configure a load job, including setting the source format, schema, time partitioning, and clustering fields for optimal data organization."],["Each language section includes instructions on how to set up authentication and points to the respective API reference documentation for more information."],["The code samples provided will load the data into the clustered table and waits for the job to finish, before checking for errors and then printing the result."],["The file used in the code samples to load the clustered table is located at `gs://cloud-samples-data/bigquery/sample-transactions/transactions.csv` in the Google Cloud Storage."]]],[]]