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    <title>topic Re: Question Submitted
How to tune a job to avoid paying extra cost for EXPAND DISK?  Is it due to the shuffle or data skew? Is there a way to configure the workers with larger disk?
If not having EXPAND DISK, it will fail since no space left on the disk. in Machine Learning</title>
    <link>https://community.databricks.com/t5/machine-learning/question-submitted-how-to-tune-a-job-to-avoid-paying-extra-cost/m-p/22009#M1243</link>
    <description>&lt;P&gt;No error, just seeing the EXPAND DISK in cluster event logs. This is just a regular spark application. I am not sure if the cloud storage matters - a spark application uses it as input and output. &lt;/P&gt;</description>
    <pubDate>Thu, 05 May 2022 13:54:43 GMT</pubDate>
    <dc:creator>Wayne</dc:creator>
    <dc:date>2022-05-05T13:54:43Z</dc:date>
    <item>
      <title>Question Submitted
How to tune a job to avoid paying extra cost for EXPAND DISK?  Is it due to the shuffle or data skew? Is there a way to configure the workers with larger disk?
If not having EXPAND DISK, it will fail since no space left on the disk.</title>
      <link>https://community.databricks.com/t5/machine-learning/question-submitted-how-to-tune-a-job-to-avoid-paying-extra-cost/m-p/22007#M1241</link>
      <description />
      <pubDate>Wed, 27 Apr 2022 16:05:44 GMT</pubDate>
      <guid>https://community.databricks.com/t5/machine-learning/question-submitted-how-to-tune-a-job-to-avoid-paying-extra-cost/m-p/22007#M1241</guid>
      <dc:creator>Wayne</dc:creator>
      <dc:date>2022-04-27T16:05:44Z</dc:date>
    </item>
    <item>
      <title>Re: Question Submitted
How to tune a job to avoid paying extra cost for EXPAND DISK?  Is it due to the shuffle or data skew? Is there a way to configure the workers with larger disk?
If not having EXPAND DISK, it will fail since no space left on the disk.</title>
      <link>https://community.databricks.com/t5/machine-learning/question-submitted-how-to-tune-a-job-to-avoid-paying-extra-cost/m-p/22008#M1242</link>
      <description>&lt;P&gt;Your worker disk size should almost never matter.  You should be using cloud storage such as S3/ADL2/GCS.  What operations are you running and what error message are you getting?&lt;/P&gt;</description>
      <pubDate>Wed, 27 Apr 2022 17:23:18 GMT</pubDate>
      <guid>https://community.databricks.com/t5/machine-learning/question-submitted-how-to-tune-a-job-to-avoid-paying-extra-cost/m-p/22008#M1242</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2022-04-27T17:23:18Z</dc:date>
    </item>
    <item>
      <title>Re: Question Submitted
How to tune a job to avoid paying extra cost for EXPAND DISK?  Is it due to the shuffle or data skew? Is there a way to configure the workers with larger disk?
If not having EXPAND DISK, it will fail since no space left on the disk.</title>
      <link>https://community.databricks.com/t5/machine-learning/question-submitted-how-to-tune-a-job-to-avoid-paying-extra-cost/m-p/22009#M1243</link>
      <description>&lt;P&gt;No error, just seeing the EXPAND DISK in cluster event logs. This is just a regular spark application. I am not sure if the cloud storage matters - a spark application uses it as input and output. &lt;/P&gt;</description>
      <pubDate>Thu, 05 May 2022 13:54:43 GMT</pubDate>
      <guid>https://community.databricks.com/t5/machine-learning/question-submitted-how-to-tune-a-job-to-avoid-paying-extra-cost/m-p/22009#M1243</guid>
      <dc:creator>Wayne</dc:creator>
      <dc:date>2022-05-05T13:54:43Z</dc:date>
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