Tag: date_format

Categories
date java

change timezone of date in java

while loop in java

In this post, we will learn to change timezone of date in java

In java by default new Date() will give you the system/server timezone.

Syntax
dateFormat.setTimeZone(TimeZone.getTimeZone("UTC"));
Example

import java.text.DateFormat;
import java.text.SimpleDateFormat;
import java.util.Date;
import java.util.TimeZone;

public class ChangeTimeZon {

	public static void main(String[] args) {
		try {
			Date date = new Date();
			System.out.println("Current Date Time : " + date);
			DateFormat dateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss z");
			// In below line we are mentioned to convert into UTC
			dateFormat.setTimeZone(TimeZone.getTimeZone("UTC"));
			String utcFormat = dateFormat.format(date);
			System.out.println("After converting into UTC format: " + utcFormat);

		} catch (Exception e) {
			e.printStackTrace();
		}
	}

}
Output
Current Date Time : Thu Jun 18 15:29:35 IST 2020
After converting into UTC format: 2020-06-18 09:59:35 UTC
Conclusion

In the above post, we learned to change timezone of date in java

Github

https://github.com/rkumar9090/BeginnersBug/blob/master/BegineersBug/src/com/geeks/example/date/ChangeTimeZon.java

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Categories
pyspark

How to change the date format in pyspark

RDD ,dataframe and dataset in spark

In this post, We will learn how to change the date format in pyspark

Creating dataframe

Inorder to understand this better , We will create a dataframe having date  format as yyyy-MM-dd  .

Note: createDataFrame – underlined letters need to be in capital

#Importing libraries required
import findspark
findspark.init()
from pyspark import SparkContext,SparkConf
from pyspark.sql.functions import *

sc=SparkContext.getOrCreate()
#creating dataframe with date column
df=spark.createDataFrame([('2019-02-28',)],['dt'])
df.show()
Output

With the above code ,  a dataframe named df is created with dt as one its column as below.

+----------+
|        dt|
+----------+
|2019-02-28|
+----------+
Changing the format

With the dataframe created from  the above code , the function date_format() is used to modify its format .

date_format(<column_name>,<format required>)

#Changing the format of the date
df.select(date_format('dt','yyyy-MM-dd').alias('new_dt')).show()
Output

Thus we convert the date format  2019-02-28 to the format 2019/02/28

+----------+
|    new_dt|
+----------+
|2019/02/28|
+----------+
Reference

https://spark.apache.org/docs/2.1.0/api/python/pyspark.sql.html#pyspark.sql.functions.date_format

how to get the current date in pyspark with example