Parsing a csv file in Pyspark using Spark inbuilt functions or methods

Question

I am using spark version 2.3 and working on some poc wherein, I have to load some bunch of csv files to spark dataframe.

Considering below csv as a sample which I need t

Answer 1

you can try something like that, without udfs:

val data = spark.read.option("header", "true").csv("data/yourdata.csv")
val data2 = data.select('id,
('age.cast("double")
  .cast("int")
  .cast("string")
  .equalTo('age) && 'age.cast("int").isNotNull )
  .equalTo("true")
  .as("isINT"),
'loaded_date.cast("date").isNotNull.as("isDATE"),
('sex.cast("int").isNotNull || 'sex.isNull).notEqual("true").as("isCHAR"))

data2.show()
+---+-----+------+------+
| id|isINT|isDATE|isCHAR|
+---+-----+------+------+
|  1| true|  true|  true|
|  2| true|  true|  true|
|  3| true|  true|  true|
|  4| true| false|  true|
|  5| true| false| false|
|  6| true| false|  true|
|  7| true|  true| false|
|  8|false|  true|  true|
|  9|false|  true|  true|
| 10| true| false|  true|
+---+-----+------+------+

val corrupted = data2.select('id,
    concat(data2.columns.map(data2(_)).drop(1):_*).contains("false").as("isCorrupted")
  )
  corrupted.show()

+---+-----------+
| id|isCorrupted|
+---+-----------+
|  1|      false|
|  2|      false|
|  3|      false|
|  4|       true|
|  5|       true|
|  6|       true|
|  7|       true|
|  8|       true|
|  9|       true|
| 10|       true|
+---+-----------+

data.join(corrupted,"id").show()

+---+----+---+-----------+----+-----------+
| id|name|age|loaded_date| sex|isCorrupted|
+---+----+---+-----------+----+-----------+
|  1| ABC| 32| 2019-09-11|   M|      false|
|  2|null| 33| 2019-09-11|   M|      false|
|  3| XYZ| 35| 2019-08-11|   M|      false|
|  4| PQR| 32| 2019-30-10|   M|       true|
|  5| EFG| 32|       null|null|       true|
|  6| DEF| 32| 2019/09/11|   M|       true|
|  7| XYZ| 32| 2017-01-01|   9|       true|
|  8| KLM| XX| 2017-01-01|   F|       true|
|  9| ABC|3.2| 2019-10-10|   M|       true|
| 10| ABC| 32| 2019-02-29|   M|       true|
+---+----+---+-----------+----+-----------+