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    <title>topic Write mode features in Bigquey using Databricks notebook. in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/write-mode-features-in-bigquey-using-databricks-notebook/m-p/15166#M9523</link>
    <description>&lt;P&gt;Currently using df.write.format("bigquery") ,Databricks  only supports append and Overwrite modes in to writing Bigquery tables.Does Databricks has any option of executing the DMLs like Merge in to Bigquey using Databricks Notebooks.?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;</description>
    <pubDate>Fri, 17 Sep 2021 11:56:14 GMT</pubDate>
    <dc:creator>Sumeet_Dora</dc:creator>
    <dc:date>2021-09-17T11:56:14Z</dc:date>
    <item>
      <title>Write mode features in Bigquey using Databricks notebook.</title>
      <link>https://community.databricks.com/t5/data-engineering/write-mode-features-in-bigquey-using-databricks-notebook/m-p/15166#M9523</link>
      <description>&lt;P&gt;Currently using df.write.format("bigquery") ,Databricks  only supports append and Overwrite modes in to writing Bigquery tables.Does Databricks has any option of executing the DMLs like Merge in to Bigquey using Databricks Notebooks.?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 17 Sep 2021 11:56:14 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/write-mode-features-in-bigquey-using-databricks-notebook/m-p/15166#M9523</guid>
      <dc:creator>Sumeet_Dora</dc:creator>
      <dc:date>2021-09-17T11:56:14Z</dc:date>
    </item>
    <item>
      <title>Re: Write mode features in Bigquey using Databricks notebook.</title>
      <link>https://community.databricks.com/t5/data-engineering/write-mode-features-in-bigquey-using-databricks-notebook/m-p/15168#M9525</link>
      <description>&lt;P&gt;@Sumeet Dora​&amp;nbsp;, Unfortunately there is no direct "merge into" option for writing to Bigquery using Databricks notebook. You could write to an intermediate delta table using the "merge into" option in delta table. Then read from the delta table and perform a full overwrite to the bigquery table, so that you get the up-to-date latest info in delta table and as well in bigquery. Hope it helps&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;You can refer to "merge into" option of delta table here &lt;A href="https://docs.databricks.com/spark/latest/spark-sql/language-manual/delta-merge-into.html#merge-into-delta-lake-on-databricks" alt="https://docs.databricks.com/spark/latest/spark-sql/language-manual/delta-merge-into.html#merge-into-delta-lake-on-databricks" target="_blank"&gt;https://docs.databricks.com/spark/latest/spark-sql/language-manual/delta-merge-into.html#merge-into-delta-lake-on-databricks&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Here are some example notebooks for writing to bigquery &lt;/P&gt;&lt;P&gt;&lt;A href="https://docs.databricks.com/data/data-sources/google/bigquery.html#example-notebooks" alt="https://docs.databricks.com/data/data-sources/google/bigquery.html#example-notebooks" target="_blank"&gt;https://docs.databricks.com/data/data-sources/google/bigquery.html#example-notebooks&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;We have filter push down, but those are used while reading the data from bigquery. In the meanwhile, if I find any alternatives, I will post here.&lt;/P&gt;</description>
      <pubDate>Wed, 20 Oct 2021 16:40:08 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/write-mode-features-in-bigquey-using-databricks-notebook/m-p/15168#M9525</guid>
      <dc:creator>mathan_pillai</dc:creator>
      <dc:date>2021-10-20T16:40:08Z</dc:date>
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