<?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: Generating Spark SQL query using Python in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/generating-spark-sql-query-using-python/m-p/11529#M6477</link>
    <description>&lt;P&gt;Hi @John Constantine​&amp;nbsp;,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I think you can also use arrays_overlap() for your OR statements docs &lt;A href="https://spark.apache.org/docs/latest/api/python/reference/pyspark.sql.html" alt="https://spark.apache.org/docs/latest/api/python/reference/pyspark.sql.html" target="_blank"&gt;here&lt;/A&gt;&lt;/P&gt;</description>
    <pubDate>Fri, 05 Nov 2021 00:16:45 GMT</pubDate>
    <dc:creator>jose_gonzalez</dc:creator>
    <dc:date>2021-11-05T00:16:45Z</dc:date>
    <item>
      <title>Generating Spark SQL query using Python</title>
      <link>https://community.databricks.com/t5/data-engineering/generating-spark-sql-query-using-python/m-p/11527#M6475</link>
      <description>&lt;P&gt;I have a Spark SQL notebook on DB where I have a sql query like&lt;/P&gt;&lt;PRE&gt;&lt;CODE&gt;SELECT * 
FROM table_name
WHERE 
     condition_1 = 'fname'  OR condition_1 = 'lname' OR condition_1 = 'mname' 
    AND condition_2 = 'apple' 
   AND condition_3 ='orange'&lt;/CODE&gt;&lt;/PRE&gt;&lt;P&gt;There are a lot of conditions, is there a way to define a python function and link it to sql to automatically generate the WHERE clause string&lt;/P&gt;</description>
      <pubDate>Thu, 04 Nov 2021 18:36:30 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/generating-spark-sql-query-using-python/m-p/11527#M6475</guid>
      <dc:creator>Constantine</dc:creator>
      <dc:date>2021-11-04T18:36:30Z</dc:date>
    </item>
    <item>
      <title>Re: Generating Spark SQL query using Python</title>
      <link>https://community.databricks.com/t5/data-engineering/generating-spark-sql-query-using-python/m-p/11528#M6476</link>
      <description>&lt;PRE&gt;&lt;CODE&gt;fruits= ["apple", "orange"]
df.where(col("v").isin(fruits))&lt;/CODE&gt;&lt;/PRE&gt;&lt;P&gt;or&lt;/P&gt;&lt;PRE&gt;&lt;CODE&gt;fruits= ["apple", "orange"]
sqlContext.sql("SELECT * FROM df WHERE v IN {0}".format(fruits))&lt;/CODE&gt;&lt;/PRE&gt;&lt;P&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 04 Nov 2021 20:39:38 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/generating-spark-sql-query-using-python/m-p/11528#M6476</guid>
      <dc:creator>Hubert-Dudek</dc:creator>
      <dc:date>2021-11-04T20:39:38Z</dc:date>
    </item>
    <item>
      <title>Re: Generating Spark SQL query using Python</title>
      <link>https://community.databricks.com/t5/data-engineering/generating-spark-sql-query-using-python/m-p/11529#M6477</link>
      <description>&lt;P&gt;Hi @John Constantine​&amp;nbsp;,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I think you can also use arrays_overlap() for your OR statements docs &lt;A href="https://spark.apache.org/docs/latest/api/python/reference/pyspark.sql.html" alt="https://spark.apache.org/docs/latest/api/python/reference/pyspark.sql.html" target="_blank"&gt;here&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 05 Nov 2021 00:16:45 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/generating-spark-sql-query-using-python/m-p/11529#M6477</guid>
      <dc:creator>jose_gonzalez</dc:creator>
      <dc:date>2021-11-05T00:16:45Z</dc:date>
    </item>
  </channel>
</rss>

