Skip to main content
Version: 0.15.0

Microsoft Azure

In this page, we explain how to use Hudi on Microsoft Azure.

Disclaimer​

This page is maintained by the Hudi community. If the information is inaccurate or you have additional information to add. Please feel free to create a JIRA ticket. Contribution is highly appreciated.

Supported Storage System​

There are two storage systems support Hudi .

  • Azure Blob Storage
  • Azure Data Lake Gen 2

Verified Combination of Spark and storage system​

HDInsight Spark2.4 on Azure Data Lake Storage Gen 2​

This combination works out of the box. No extra config needed.

Databricks Spark2.4 on Azure Data Lake Storage Gen 2​

  • Import Hudi jar to databricks workspace

  • Mount the file system to dbutils.

    dbutils.fs.mount(
      source = "abfss://xxx@xxx.dfs.core.windows.net",
      mountPoint = "/mountpoint",
      extraConfigs = configs)

  • When writing Hudi dataset, use abfss URL

    inputDF.write
      .format("org.apache.hudi")
      .options(opts)
      .mode(SaveMode.Append)
      .save("abfss://<<storage-account>>.dfs.core.windows.net/hudi-tables/customer")

  • When reading Hudi dataset, use the mounting point

    spark.read
      .format("org.apache.hudi")
      .load("/mountpoint/hudi-tables/customer")