<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Re: Using AWS access points in Warehousing &amp; Analytics</title>
    <link>https://community.databricks.com/t5/warehousing-analytics/using-aws-access-points/m-p/30548#M720</link>
    <description>&lt;P&gt;To answer my own question, the spark propertery is not required.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;What is required is for you to use the access point alias, not the configured "name" or "arn" as detailed in the Spark documentation.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Read the access point &lt;A href="https://docs.aws.amazon.com/AmazonS3/latest/userguide/access-points-policies.html" target="test_blank"&gt;https://docs.aws.amazon.com/AmazonS3/latest/userguide/access-points-policies.html&lt;/A&gt; documents very carefully and make sure to add the access policy permission set, as well as the role that you have defined in your profile instance.  &lt;/P&gt;&lt;P&gt;This should be a better documented feature in the AWS Databricks documentation.&lt;/P&gt;</description>
    <pubDate>Wed, 28 Sep 2022 20:41:12 GMT</pubDate>
    <dc:creator>marcus1</dc:creator>
    <dc:date>2022-09-28T20:41:12Z</dc:date>
    <item>
      <title>Using AWS access points</title>
      <link>https://community.databricks.com/t5/warehousing-analytics/using-aws-access-points/m-p/30547#M719</link>
      <description>&lt;P&gt;I am attempting to read data from an AWS access point but setting the Spark property as described here&lt;/P&gt;&lt;P&gt;&lt;A href="https://hadoop.apache.org/docs/stable/hadoop-aws/tools/hadoop-aws/index.html#Configuring_S3_AccessPoints_usage_with_S3A" target="test_blank"&gt;https://hadoop.apache.org/docs/stable/hadoop-aws/tools/hadoop-aws/index.html#Configuring_S3_AccessPoints_usage_with_S3A&lt;/A&gt;&lt;/P&gt;&lt;P&gt;Modifying the Spark properties&lt;/P&gt;&lt;P&gt;fs.s3a.finance-team-access.accesspoint.arn&lt;/P&gt;&lt;P&gt; arn:aws:s3:us-east-1:123456789012:accesspoint/finance-team-access&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;When I try to fetch data using dbutils.fs.ls or spark.read it says the bucket "finance-team-access" does not exist (I'm using the example access point from the documentation).  It should have attempted.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I'm using databricks runtime 10.4 LTS. &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thank you &lt;/P&gt;</description>
      <pubDate>Tue, 27 Sep 2022 18:05:10 GMT</pubDate>
      <guid>https://community.databricks.com/t5/warehousing-analytics/using-aws-access-points/m-p/30547#M719</guid>
      <dc:creator>marcus1</dc:creator>
      <dc:date>2022-09-27T18:05:10Z</dc:date>
    </item>
    <item>
      <title>Re: Using AWS access points</title>
      <link>https://community.databricks.com/t5/warehousing-analytics/using-aws-access-points/m-p/30548#M720</link>
      <description>&lt;P&gt;To answer my own question, the spark propertery is not required.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;What is required is for you to use the access point alias, not the configured "name" or "arn" as detailed in the Spark documentation.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Read the access point &lt;A href="https://docs.aws.amazon.com/AmazonS3/latest/userguide/access-points-policies.html" target="test_blank"&gt;https://docs.aws.amazon.com/AmazonS3/latest/userguide/access-points-policies.html&lt;/A&gt; documents very carefully and make sure to add the access policy permission set, as well as the role that you have defined in your profile instance.  &lt;/P&gt;&lt;P&gt;This should be a better documented feature in the AWS Databricks documentation.&lt;/P&gt;</description>
      <pubDate>Wed, 28 Sep 2022 20:41:12 GMT</pubDate>
      <guid>https://community.databricks.com/t5/warehousing-analytics/using-aws-access-points/m-p/30548#M720</guid>
      <dc:creator>marcus1</dc:creator>
      <dc:date>2022-09-28T20:41:12Z</dc:date>
    </item>
  </channel>
</rss>

