Creating a PySpark DataFrame with Timestamp Column for a Given Range of Dates: Two Methods
<p>This article explains two ways one can write a PySpark DataFrame with timestamp column for a given range of time.</p>
<h2>A) Plain way</h2>
<p>Here are the steps to create a PySpark DataFrame with a timestamp column using the range of dates:</p>
<ol>
<li>Import libraries:</li>
</ol>
<pre>
from pyspark.sql import SparkSession
from pyspark.sql.functions import expr, to_date, lit
from pyspark.sql.types import TimestampType</pre>
<p>2. Start a PySpark session:</p>
<pre>
spark = SparkSession.builder.appName("CreateDFWithTimestamp").getOrCreate()</pre>
<p>3. Define the start and end dates for the time period:</p>
<pre>
start_date = '2022-11-01'
end_date = '2022-11-30'</pre>
<p>4. Create a PySpark DataFrame with the start and end dates:</p>
<p><a href="https://dilorom.medium.com/creating-a-pyspark-dataframe-with-timestamp-column-for-a-given-range-of-dates-two-methods-84715e9eef9"><strong>Website</strong></a></p>