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Data Engineering
Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
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Forum Posts

haseebkhan1421
by New Contributor
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Resolved! How can I access python variable in Spark SQL?

I have python variable created under %python in my jupyter notebook file in Azure Databricks. How can I access the same variable to make comparisons under %sql. Below is the example:%python RunID_Goal = sqlContext.sql("SELECT CONCAT(SUBSTRING(RunID,...

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Nirupam
New Contributor III
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You can use {} in spark.sql() of pyspark/scala instead of making a sql cell using %sql.This will result in a dataframe. If you want you can create a view on top of this using createOrReplaceTempView()Below is an example to use a variable:-# A variab...

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RaghuMundru
by New Contributor III
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Resolved! I am running simple count and I am getting an error

Here is the error that I am getting when I run the following query statement=sqlContext.sql("SELECT count(*) FROM ARDATA_2015_09_01").show() ---------------------------------------------------------------------------Py4JJavaError Traceback (most rec...

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muchave
New Contributor II
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192.168.o.1 is a private IP address used to login the admin panel of a router. 192.168.l.l is the host address to change default router settings.

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desai_n_3
by New Contributor II
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Cannot Convert Column to Bool Error - When Converting dataframe column which is in string to date type in python

Hi All, I am trying to convert a dataframe column which is in the format of string to date type format yyyy-MM-DD? I have written a sql query and stored it in dataframe. df3 = sqlContext.sql(sqlString2) df3.withColumn(df3['CalDay'],pd.to_datetime(df...

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JoshuaJames
New Contributor II
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Registered to post this so forgive the formatting nightmare This is a python databricks script function that allows you to convert from string to datetime or date and utilising coalescefrom pyspark.sql.functions import coalesce, to_date def to_dat...

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