[[["이해하기 쉬움","easyToUnderstand","thumb-up"],["문제가 해결됨","solvedMyProblem","thumb-up"],["기타","otherUp","thumb-up"]],[["이해하기 어려움","hardToUnderstand","thumb-down"],["잘못된 정보 또는 샘플 코드","incorrectInformationOrSampleCode","thumb-down"],["필요한 정보/샘플이 없음","missingTheInformationSamplesINeed","thumb-down"],["번역 문제","translationIssue","thumb-down"],["기타","otherDown","thumb-down"]],["최종 업데이트: 2025-08-26(UTC)"],[[["\u003cp\u003eCloud Dataproc clusters include a built-in BigQuery connector for Hadoop, facilitating seamless data transfer between BigQuery and Cloud Dataproc.\u003c/p\u003e\n"],["\u003cp\u003eSpark users can leverage the BigQuery connector with Cloud Dataproc clusters, as demonstrated in the provided example.\u003c/p\u003e\n"],["\u003cp\u003eJava MapReduce jobs can also utilize the BigQuery connector with Cloud Dataproc clusters, with an example provided for reference.\u003c/p\u003e\n"],["\u003cp\u003eAdditional details about the BigQuery Hadoop Connector are available in its dedicated documentation.\u003c/p\u003e\n"]]],[],null,["All Dataproc clusters come with the\n[BigQuery connector for Hadoop](/hadoop/bigquery-connector) built in. This means\nyou can quickly read and write BigQuery data to and from\nDataproc.\n\nUse Spark\n\nSee [Using the BigQuery Connector with Spark](/dataproc/docs/tutorials/bigquery-connector-spark-example)\nfor an example on using Spark with the BigQuery connector for Hadoop.\nThis example should work for Dataproc clusters.\n\nUse Java MapReduce\n\nSee [Writing a MapReduce Job with the BigQuery Connector](/dataproc/docs/tutorials/bigquery-connector-mapreduce-example)\nfor an example on using Java MapReduce with the BigQuery connector for\nHadoop. This example should work for Dataproc clusters.\n\nAdditional information\n\nSee the [BigQuery Hadoop Connector](/dataproc/docs/connectors/bigquery)\ndocumentation."]]
