Thanks, Yunus. It solved my problem.

Regards,
Devender
________________________________
From: Shahab Yunus <[email protected]>
Sent: Tuesday, December 18, 2018 8:27:51 PM
To: Devender Yadav
Cc: [email protected]
Subject: Re: Add column value in the dataset on the basis of a condition

Sorry Devender, I hit the send button sooner by mistake. I meant to add more 
info.

So what I was trying to say was that you can use withColumn with when/otherwise 
clauses to add a column conditionally. See an example here:
https://stackoverflow.com/questions/34908448/spark-add-column-to-dataframe-conditionally<https://apac01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fstackoverflow.com%2Fquestions%2F34908448%2Fspark-add-column-to-dataframe-conditionally&data=01%7C01%7Cdevender.yadav%40impetus.co.in%7C89cce9efc5c1492d70a908d664f937db%7Cb9dfa90567614a548aa07b7647bbafb8%7C0&sdata=pmOmAeobt4fXOuZB2VKFnl0ckMTfZ4LeHyocQ7o%2B5sA%3D&reserved=0>

On Tue, Dec 18, 2018 at 9:55 AM Shahab Yunus 
<[email protected]<mailto:[email protected]>> wrote:
Have you tried using withColumn? You can add a boolean column based on whether 
the age exists or not and then drop the older age column. You wouldn't need 
union of dataframes then

On Tue, Dec 18, 2018 at 8:58 AM Devender Yadav 
<[email protected]<mailto:[email protected]>> wrote:
Hi All,


useful code:

public class EmployeeBean implements Serializable {

    private Long id;

    private String name;

    private Long salary;

    private Integer age;

    // getters and setters

}


Relevant spark code:

SparkSession spark = 
SparkSession.builder().master("local[2]").appName("play-with-spark").getOrCreate();
List<EmployeeBean> employees1 = populateEmployees(1, 10);

Dataset<EmployeeBean> ds1 = spark.createDataset(employees1, 
Encoders.bean(EmployeeBean.class));
ds1.show();
ds1.printSchema();

Dataset<Row> ds2 = ds1.where("age is null").withColumn("is_age_null", 
lit(true));
Dataset<Row> ds3 = ds1.where("age is not null").withColumn("is_age_null", 
lit(false));

Dataset<Row> ds4 = ds2.union(ds3);
ds4.show();


Relevant Output:


ds1

+----+---+----+------+
| age| id|name|salary|
+----+---+----+------+
|null|  1|dev1| 11000|
|   2|  2|dev2| 12000|
|null|  3|dev3| 13000|
|   4|  4|dev4| 14000|
|null|  5|dev5| 15000|
+----+---+----+------+


ds4

+----+---+----+------+-----------+
| age| id|name|salary|is_age_null|
+----+---+----+------+-----------+
|null|  1|dev1| 11000|       true|
|null|  3|dev3| 13000|       true|
|null|  5|dev5| 15000|       true|
|   2|  2|dev2| 12000|      false|
|   4|  4|dev4| 14000|      false|
+----+---+----+------+-----------+


Is there any better solution to add this column in the dataset rather than 
creating two datasets and performing union?

<https://stackoverflow.com/questions/53834286/add-column-value-in-spark-dataset-on-the-basis-of-the-condition<https://apac01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fstackoverflow.com%2Fquestions%2F53834286%2Fadd-column-value-in-spark-dataset-on-the-basis-of-the-condition&data=01%7C01%7Cdevender.yadav%40impetus.co.in%7C89cce9efc5c1492d70a908d664f937db%7Cb9dfa90567614a548aa07b7647bbafb8%7C0&sdata=0WTnk7a3YSJcqrs87zH5k38Mh6kStY7%2Fn%2BGxffGkJY0%3D&reserved=0>>



Regards,
Devender

________________________________






NOTE: This message may contain information that is confidential, proprietary, 
privileged or otherwise protected by law. The message is intended solely for 
the named addressee. If received in error, please destroy and notify the 
sender. Any use of this email is prohibited when received in error. Impetus 
does not represent, warrant and/or guarantee, that the integrity of this 
communication has been maintained nor that the communication is free of errors, 
virus, interception or interference.

---------------------------------------------------------------------
To unsubscribe e-mail: 
[email protected]<mailto:[email protected]>

________________________________






NOTE: This message may contain information that is confidential, proprietary, 
privileged or otherwise protected by law. The message is intended solely for 
the named addressee. If received in error, please destroy and notify the 
sender. Any use of this email is prohibited when received in error. Impetus 
does not represent, warrant and/or guarantee, that the integrity of this 
communication has been maintained nor that the communication is free of errors, 
virus, interception or interference.

<<attachment: winmail.dat>>

---------------------------------------------------------------------
To unsubscribe e-mail: [email protected]

Reply via email to