Ivan Bova created SPARK-47193:
---------------------------------
Summary: Converting dataframe to rdd results in data loss
Key: SPARK-47193
URL: https://issues.apache.org/jira/browse/SPARK-47193
Project: Spark
Issue Type: Bug
Components: Spark Core
Affects Versions: 3.5.1, 3.5.0
Reporter: Ivan Bova
I have 10 csv files and need to create mapping from them. After all of the
joins dataframe contains all expected rows but rdd from this dataframe contains
only half of them.
{code:java}
case class MyUserProfileMessage(UserId: Int, Email: String, FirstName: String,
LastName: String, LanguageId: Option[Int])
case class MyLanguageMessage(LanguageId: Int, LanguageLocaleId: String)
case class MyDeviceMessage(DeviceId1: String, Created: Option[Timestamp],
UpdatedDate: Timestamp, DeviceId2: String, DeviceName: String, LocationId:
Option[Int], DeviceTypeId: Option[Int], DeviceClassId: Int, UserId1:
Option[Int])
case class MyDeviceClassMessage(DeviceClassId: Int, DeviceClassName: String)
case class MyDeviceTypeMessage(DeviceTypeId: Int, DeviceTypeName: String)
case class MyLocation1(LocationId1: Int, LocationId: Int, Latitude:
Option[Double], Longitude: Option[Double], Radius: Option[Double], CreatedDate:
Timestamp)
case class MyTimeZoneLookupMessage(TimeZoneId: Int, ZoneName: String)
case class MyUserLocationMessage(UserId: Int, LocationId: Int, LocationName:
String, Status: Int, CreatedDate: Timestamp)
case class MyUserMessage(UserId: Int, Created: Option[Timestamp], Deleted:
Option[Timestamp], Active: Option[Boolean], ActivatedDate: Option[Timestamp])
case class MyLocationMessage(LocationId: Int, IsDeleted: Option[Boolean],
Address1: String, Address2: String, City: String, State: String, Country:
String, ZipCode: String, Feature2Enabled: Option[Boolean], LocationStatus:
Option[Int], Location1Enabled: Option[Boolean], LocationKey: String,
UpdatedDateTime: Timestamp, CreatedDate: Timestamp, Feature1Enabled:
Option[Boolean], Level: Option[Int], TimeZone: Option[Int])
val userProfile = spark.read.option("header", "true").option("comment",
"#").option("nullValue",
"null").schema(Encoders.product[MyUserProfileMessage].schema).csv("userProfile.csv").as[MyUserProfileMessage]
val language = spark.read.option("header", "true").option("comment",
"#").option("nullValue",
"null").schema(Encoders.product[MyLanguageMessage].schema).csv("language.csv").as[MyLanguageMessage]
val device = spark.read.option("header", "true").option("comment",
"#").option("nullValue",
"null").schema(Encoders.product[MyDeviceMessage].schema).csv("device.csv").as[MyDeviceMessage]
val deviceClass = spark.read.option("header", "true").option("comment",
"#").option("nullValue",
"null").schema(Encoders.product[MyDeviceClassMessage].schema).csv("deviceClass.csv").as[MyDeviceClassMessage]
val deviceType = spark.read.option("header", "true").option("comment",
"#").option("nullValue",
"null").schema(Encoders.product[MyDeviceTypeMessage].schema).csv("deviceType.csv").as[MyDeviceTypeMessage]
val location1 = spark.read.option("header", "true").option("comment",
"#").option("nullValue",
"null").schema(Encoders.product[MyLocation1].schema).csv("location1.csv").as[MyLocation1]
val timeZoneLookup = spark.read.option("header", "true").option("comment",
"#").option("nullValue",
"null").schema(Encoders.product[MyTimeZoneLookupMessage].schema).csv("timeZoneLookup.csv").as[MyTimeZoneLookupMessage]
val userLocation = spark.read.option("header", "true").option("comment",
"#").option("nullValue",
"null").schema(Encoders.product[MyUserLocationMessage].schema).csv("userLocation.csv").as[MyUserLocationMessage]
val user = spark.read.option("header", "true").option("comment",
"#").option("nullValue",
"null").schema(Encoders.product[MyUserMessage].schema).csv("user.csv").as[MyUserMessage]
val location = spark.read.option("header", "true").option("comment",
"#").option("nullValue",
"null").schema(Encoders.product[MyLocationMessage].schema).csv("location.csv").as[MyLocationMessage]
val result = user
.join(userProfile, user("UserId") === userProfile("UserId"), "inner")
.join(language, userProfile("LanguageId") === language("LanguageId"), "left")
.join(userLocation, user("UserId") === userLocation("UserId"), "inner")
.join(location, userLocation("LocationId") === location("LocationId"),
"inner")
.join(device, location("LocationId") === device("LocationId"), "inner")
.join(deviceType, device("DeviceTypeId") === deviceType("DeviceTypeId"),
"inner")
.join(
deviceClass,
device("DeviceClassId") === deviceClass("DeviceClassId"),
"inner")
.join(
timeZoneLookup,
timeZoneLookup("TimeZoneId") === location("TimeZone"),
"left")
.join(location1, location("LocationId") === location1("LocationId"), "left")
.where(
device("UserId1").isNull
&& (user("Active") === lit(true) || user("ActivatedDate").isNotNull)
)
.dropDuplicates()
println("df count = " + result.count())
println("rdd count = "+ result.rdd.count())
result.show(false)
println("------")
result.rdd.foreach(println) {code}
output:
{code:java}
df count = 8
rdd count = 4
+------+-------------------+-------------------+------+-------------------+------+------+----------+---------+----------+----------+----------------+------+----------+------------+------+-----------+----------+---------+----------+----------+-----+------+--------+-------+---------------+--------------+----------------+-----------+-------------------+-------------------+---------------+-----+--------+---------+-------------------+-------------------+----------+-----------+----------+------------+-------------+-------+------------+--------------+-------------+---------------+----------+--------+-----------+----------+--------+---------+------+-------------------+
|UserId|Created |Deleted |Active|ActivatedDate
|UserId|Email |FirstName |LastName
|LanguageId|LanguageId|LanguageLocaleId|UserId|LocationId|LocationName|Status|CreatedDate|LocationId|IsDeleted|Address1
|Address2 |City |State |Country
|ZipCode|Feature2Enabled|LocationStatus|Location1Enabled|LocationKey|UpdatedDateTime
|CreatedDate |Feature1Enabled|Level|TimeZone|DeviceId1|Created
|UpdatedDate |DeviceId2 |DeviceName
|LocationId|DeviceTypeId|DeviceClassId|UserId1|DeviceTypeId|DeviceTypeName|DeviceClassId|DeviceClassName|TimeZoneId|ZoneName|LocationId1|LocationId|Latitude|Longitude|Radius|CreatedDate
|
+------+-------------------+-------------------+------+-------------------+------+------+----------+---------+----------+----------+----------------+------+----------+------------+------+-----------+----------+---------+----------+----------+-----+------+--------+-------+---------------+--------------+----------------+-----------+-------------------+-------------------+---------------+-----+--------+---------+-------------------+-------------------+----------+-----------+----------+------------+-------------+-------+------------+--------------+-------------+---------------+----------+--------+-----------+----------+--------+---------+------+-------------------+
|1 |2021-11-22 11:27:27|2021-11-25 11:27:27|false |2021-11-22 11:27:27|1
|email1|firstName1|lastName1|1 |1 |It |1 |1
|Location1 |NULL |NULL |1 |false
|address1_1|address2_1|City1|State1|Country1|code1 |true |1
|true |LocKey1 |2021-11-16 11:27:27|2021-11-16 11:27:27|false
|1 |1 |device3 |2021-11-18 11:27:27|2021-11-19
11:27:27|DeviceId23|DeviceName3|1 |3 |3 |NULL |3
|type3 |3 |class3 |1 |Zone1 |1
|1 |12.32 |43.23 |14.2 |2021-11-21 11:27:27|
|1 |2021-11-22 11:27:27|2021-11-25 11:27:27|false |2021-11-22 11:27:27|1
|email1|firstName1|lastName1|1 |1 |It |1 |1
|Location1 |NULL |NULL |1 |false
|address1_1|address2_1|City1|State1|Country1|code1 |true |1
|true |LocKey1 |2021-11-16 11:27:27|2021-11-16 11:27:27|false
|1 |1 |device1 |2021-11-16 11:27:27|2021-11-17
11:27:27|DeviceId21|DeviceName1|1 |1 |1 |NULL |1
|type1 |1 |class1 |1 |Zone1 |1
|1 |12.32 |43.23 |14.2 |2021-11-21 11:27:27|
|2 |2021-11-22 11:27:27|NULL |true |2021-11-22 11:27:27|2
|email2|firstName2|lastName2|2 |2 |En |2 |1
|Location1 |NULL |NULL |1 |false
|address1_1|address2_1|City1|State1|Country1|code1 |true |1
|true |LocKey1 |2021-11-16 11:27:27|2021-11-16 11:27:27|false
|1 |1 |device3 |2021-11-18 11:27:27|2021-11-19
11:27:27|DeviceId23|DeviceName3|1 |3 |3 |NULL |3
|type3 |3 |class3 |1 |Zone1 |1
|1 |12.32 |43.23 |14.2 |2021-11-21 11:27:27|
|2 |2021-11-22 11:27:27|NULL |true |2021-11-22 11:27:27|2
|email2|firstName2|lastName2|2 |2 |En |2 |1
|Location1 |NULL |NULL |1 |false
|address1_1|address2_1|City1|State1|Country1|code1 |true |1
|true |LocKey1 |2021-11-16 11:27:27|2021-11-16 11:27:27|false
|1 |1 |device1 |2021-11-16 11:27:27|2021-11-17
11:27:27|DeviceId21|DeviceName1|1 |1 |1 |NULL |1
|type1 |1 |class1 |1 |Zone1 |1
|1 |12.32 |43.23 |14.2 |2021-11-21 11:27:27|
|3 |2021-11-22 11:27:27|NULL |true |2021-11-22 11:27:27|3
|email3|firstName3|lastName3|3 |3 |DE |3 |2
|Location2 |NULL |NULL |2 |false
|address1_2|address2_2|City2|State2|Country2|code2 |true |2
|true |LocKey2 |2021-11-17 11:27:27|2021-11-17 11:27:27|false
|1 |1 |device4 |2021-11-25 11:27:27|NULL
|DeviceId24|DeviceName4|2 |1 |2 |NULL |1
|type1 |2 |class2 |1 |Zone1 |3
|2 |14.32 |45.23 |16.2 |2021-11-23 11:27:27|
|3 |2021-11-22 11:27:27|NULL |true |2021-11-22 11:27:27|3
|email3|firstName3|lastName3|3 |3 |DE |3 |2
|Location2 |NULL |NULL |2 |false
|address1_2|address2_2|City2|State2|Country2|code2 |true |2
|true |LocKey2 |2021-11-17 11:27:27|2021-11-17 11:27:27|false
|1 |1 |device2 |2021-11-17 11:27:27|2021-11-18
11:27:27|DeviceId22|DeviceName2|2 |2 |2 |NULL |2
|type2 |2 |class2 |1 |Zone1 |3
|2 |14.32 |45.23 |16.2 |2021-11-23 11:27:27|
|4 |2021-11-22 11:27:27|NULL |NULL |2021-11-22 11:27:27|4
|email4|firstName4|lastName4|NULL |NULL |NULL |4 |1
|Location1 |NULL |NULL |1 |false
|address1_1|address2_1|City1|State1|Country1|code1 |true |1
|true |LocKey1 |2021-11-16 11:27:27|2021-11-16 11:27:27|false
|1 |1 |device3 |2021-11-18 11:27:27|2021-11-19
11:27:27|DeviceId23|DeviceName3|1 |3 |3 |NULL |3
|type3 |3 |class3 |1 |Zone1 |1
|1 |12.32 |43.23 |14.2 |2021-11-21 11:27:27|
|4 |2021-11-22 11:27:27|NULL |NULL |2021-11-22 11:27:27|4
|email4|firstName4|lastName4|NULL |NULL |NULL |4 |1
|Location1 |NULL |NULL |1 |false
|address1_1|address2_1|City1|State1|Country1|code1 |true |1
|true |LocKey1 |2021-11-16 11:27:27|2021-11-16 11:27:27|false
|1 |1 |device1 |2021-11-16 11:27:27|2021-11-17
11:27:27|DeviceId21|DeviceName1|1 |1 |1 |NULL |1
|type1 |1 |class1 |1 |Zone1 |1
|1 |12.32 |43.23 |14.2 |2021-11-21 11:27:27|
+------+-------------------+-------------------+------+-------------------+------+------+----------+---------+----------+----------+----------------+------+----------+------------+------+-----------+----------+---------+----------+----------+-----+------+--------+-------+---------------+--------------+----------------+-----------+-------------------+-------------------+---------------+-----+--------+---------+-------------------+-------------------+----------+-----------+----------+------------+-------------+-------+------------+--------------+-------------+---------------+----------+--------+-----------+----------+--------+---------+------+-------------------+------
[2,null,null,true,null,2,email2,firstName2,lastName2,2,2,En,2,1,Location1,null,null,1,false,address1_1,address2_1,City1,State1,Country1,code1,true,1,true,LocKey1,null,null,false,1,1,device3,null,null,DeviceId23,DeviceName3,1,3,3,null,3,type3,3,class3,1,Zone1,1,1,12.32,43.23,14.2,null]
[2,null,null,true,null,2,email2,firstName2,lastName2,2,2,En,2,1,Location1,null,null,1,false,address1_1,address2_1,City1,State1,Country1,code1,true,1,true,LocKey1,null,null,false,1,1,device1,null,null,DeviceId21,DeviceName1,1,1,1,null,1,type1,1,class1,1,Zone1,1,1,12.32,43.23,14.2,null]
[3,null,null,true,null,3,email3,firstName3,lastName3,3,3,DE,3,2,Location2,null,null,2,false,address1_2,address2_2,City2,State2,Country2,code2,true,2,true,LocKey2,null,null,false,1,1,device4,null,null,DeviceId24,DeviceName4,2,1,2,null,1,type1,2,class2,1,Zone1,3,2,14.32,45.23,16.2,null]
[3,null,null,true,null,3,email3,firstName3,lastName3,3,3,DE,3,2,Location2,null,null,2,false,address1_2,address2_2,City2,State2,Country2,code2,true,2,true,LocKey2,null,null,false,1,1,device2,null,null,DeviceId22,DeviceName2,2,2,2,null,2,type2,2,class2,1,Zone1,3,2,14.32,45.23,16.2,null]
{code}
Dataframe count and show work as expected, dut rdd does not fave first two and
last two records
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