java.lang.IllegalArgumentException when using parquet file

[JyotiRSharma]

When trying to run a config check on a parquet file, the following error can be seen:

root@lubuntu:/home/jyoti/Spark# /opt/spark/spark-3.1.2-bin-hadoop3.2/bin/spark-submit --num-executors 10 --executor-cores 2 data-validator-assembly-20220111T034941.jar --config config.yaml
22/01/11 11:50:53 WARN Utils: Your hostname, lubuntu resolves to a loopback address: 127.0.1.1; using 192.168.195.131 instead (on interface ens33)
22/01/11 11:50:53 WARN Utils: Set SPARK_LOCAL_IP if you need to bind to another address
22/01/11 11:50:57 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
22/01/11 11:50:59 INFO Main$: Logging configured!
22/01/11 11:51:00 INFO Main$: Data Validator
22/01/11 11:51:01 INFO ConfigParser$: Parsing `config.yaml`
22/01/11 11:51:01 INFO ConfigParser$: Attempting to load `config.yaml` from file system
Exception in thread "main" java.lang.ExceptionInInitializerError
	at com.target.data_validator.validator.RowBased.<init>(RowBased.scala:11)
	at com.target.data_validator.validator.NullCheck.<init>(NullCheck.scala:12)
	at com.target.data_validator.validator.NullCheck$.fromJson(NullCheck.scala:37)
	at com.target.data_validator.validator.JsonDecoders$$anon$7$$anonfun$decoders$2.apply(JsonDecoders.scala:16)
	at com.target.data_validator.validator.JsonDecoders$$anon$7$$anonfun$decoders$2.apply(JsonDecoders.scala:16)
	at com.target.data_validator.validator.JsonDecoders$$anon$7$$anonfun$2.apply(JsonDecoders.scala:32)
	at com.target.data_validator.validator.JsonDecoders$$anon$7$$anonfun$2.apply(JsonDecoders.scala:32)
	at scala.Option.map(Option.scala:230)
	at com.target.data_validator.validator.JsonDecoders$$anon$7.com$target$data_validator$validator$JsonDecoders$$anon$$getDecoder(JsonDecoders.scala:32)
	at com.target.data_validator.validator.JsonDecoders$$anon$7$$anonfun$apply$3.apply(JsonDecoders.scala:27)
	at com.target.data_validator.validator.JsonDecoders$$anon$7$$anonfun$apply$3.apply(JsonDecoders.scala:27)
	at cats.syntax.EitherOps$.flatMap$extension(either.scala:149)
	at com.target.data_validator.validator.JsonDecoders$$anon$7.apply(JsonDecoders.scala:27)
	at io.circe.SeqDecoder.apply(SeqDecoder.scala:17)
	at io.circe.Decoder$class.tryDecode(Decoder.scala:36)
	at io.circe.SeqDecoder.tryDecode(SeqDecoder.scala:6)
	at com.target.data_validator.ConfigParser$anon$importedDecoder$macro$15$1$$anon$6.apply(ConfigParser.scala:21)
	at io.circe.generic.decoding.DerivedDecoder$$anon$1.apply(DerivedDecoder.scala:13)
	at io.circe.Decoder$$anon$28.apply(Decoder.scala:178)
	at io.circe.Decoder$$anon$28.apply(Decoder.scala:178)
	at io.circe.SeqDecoder.apply(SeqDecoder.scala:17)
	at io.circe.Decoder$class.tryDecode(Decoder.scala:36)
	at io.circe.SeqDecoder.tryDecode(SeqDecoder.scala:6)
	at com.target.data_validator.ConfigParser$anon$importedDecoder$macro$81$1$$anon$10.apply(ConfigParser.scala:28)
	at io.circe.generic.decoding.DerivedDecoder$$anon$1.apply(DerivedDecoder.scala:13)
	at io.circe.Json.as(Json.scala:106)
	at com.target.data_validator.ConfigParser$.configFromJson(ConfigParser.scala:28)
	at com.target.data_validator.ConfigParser$$anonfun$parse$1.apply(ConfigParser.scala:65)
	at com.target.data_validator.ConfigParser$$anonfun$parse$1.apply(ConfigParser.scala:65)
	at cats.syntax.EitherOps$.flatMap$extension(either.scala:149)
	at com.target.data_validator.ConfigParser$.parse(ConfigParser.scala:65)
	at com.target.data_validator.ConfigParser$.parseFile(ConfigParser.scala:60)
	at com.target.data_validator.Main$.loadConfigRun(Main.scala:23)
	at com.target.data_validator.Main$.main(Main.scala:171)
	at com.target.data_validator.Main.main(Main.scala)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
	at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:951)
	at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)
	at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)
	at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)
	at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1039)
	at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1048)
	at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.IllegalArgumentException: requirement failed: Literal must have a corresponding value to bigint, but class Integer found.
	at scala.Predef$.require(Predef.scala:281)
	at org.apache.spark.sql.catalyst.expressions.Literal$.validateLiteralValue(literals.scala:219)
	at org.apache.spark.sql.catalyst.expressions.Literal.<init>(literals.scala:296)
	at org.apache.spark.sql.catalyst.expressions.Literal$.create(literals.scala:144)
	at com.target.data_validator.validator.ValidatorBase$.<init>(ValidatorBase.scala:139)
	at com.target.data_validator.validator.ValidatorBase$.<clinit>(ValidatorBase.scala)
	... 47 more

Ran a spark-submit job as follows:

spark-submit --num-executors 10 --executor-cores 2 data-validator-assembly-20220111T034941.jar --config config.yaml

The config.yaml file has the following content:

numKeyCols: 2
numErrorsToReport: 742

tables:
  - parquetFile: /home/jyoti/Spark/userdata1.parquet
    checks:
      - type: nullCheck
        column: salary

I got the userdata1.parquet from the following github link:
https://github.com/Teradata/kylo/blob/master/samples/sample-data/parquet/userdata1.parquet

Environment Details:
latest source code: data-validator-0.13.0
Lubuntu 18.04 LTS x64 version on VMWare Player
4 CPU cores and 2GB ram
Java version

yoti@lubuntu:~$ java -version
openjdk version "1.8.0_312"
OpenJDK Runtime Environment (build 1.8.0_312-8u312-b07-0ubuntu1~18.04-b07)
OpenJDK 64-Bit Server VM (build 25.312-b07, mixed mode)

lsb_release output:

jyoti@lubuntu:~$ lsb_release -a 2>/dev/null
Distributor ID:	Ubuntu
Description:	Ubuntu 18.04 LTS
Release:	18.04
Codename:	bionic

uname -s:

jyoti@lubuntu:~$ uname -s
Linux

sbt -version:

root@lubuntu:/home/jyoti/Spark# sbt -version
downloading sbt launcher 1.6.1
[info] [launcher] getting org.scala-sbt sbt 1.6.1  (this may take some time)...
[info] [launcher] getting Scala 2.12.15 (for sbt)...
sbt version in this project: 1.6.1
sbt script version: 1.6.1

Please let me know if you need anything else.

[JyotiRSharma]

But if I run the Main.scala in intelliJ on my base windows machine, it executes with no problem.

22/01/11 12:28:53 INFO Main$: Logging configured!
22/01/11 12:28:55 INFO Main$: Data Validator
22/01/11 12:28:55 INFO ConfigParser$: Parsing `D:\Spark\old\test_config.yaml`
22/01/11 12:28:55 INFO ConfigParser$: Attempting to load `D:\Spark\old\test_config.yaml` from file system
22/01/11 12:29:04 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
22/01/11 12:29:10 INFO ValidatorConfig: substituteVariables()
22/01/11 12:29:10 INFO Main$: Checking Cli Outputs htmlReport: None jsonReport: None
22/01/11 12:29:10 INFO Main$: filename: None append: false
22/01/11 12:29:10 INFO Main$: filename: None append: true
22/01/11 12:29:10 INFO ValidatorParquetFile: Reading parquet file: D:\Spark\old\DemoTime\userdata1.parquet
22/01/11 12:29:29 WARN ObjectStore: Failed to get database global_temp, returning NoSuchObjectException
22/01/11 12:29:33 INFO Main$: Running sparkChecks
22/01/11 12:29:33 INFO ValidatorConfig: Running Quick Checks...
22/01/11 12:29:33 INFO ValidatorParquetFile: Reading parquet file: D:\Spark\old\DemoTime\userdata1.parquet
22/01/11 12:29:38 INFO ValidatorTable: Results: [1000,68]
22/01/11 12:29:38 INFO ValidatorTable: Total Rows Processed: 1000
22/01/11 12:29:38 ERROR RowBased: Quick check for NullCheck on salary failed, 68 errors in 1000 rows errorCountThreshold: 0
22/01/11 12:29:38 INFO ValidatorTable: keyColumns: registration_dttm, id
22/01/11 12:29:40 INFO ValidatorConfig: Running Costly Checks...
22/01/11 12:29:40 INFO ValidatorParquetFile: Reading parquet file: D:\Spark\old\DemoTime\userdata1.parquet
22/01/11 12:29:40 ERROR Main$: data-validator failed!
DATA_VALIDATOR_STATUS=FAIL

Process finished with exit code -1

Note: I hardcoded the config file in ConfigParser.scala

  def parseFile(filename: String, cliMap: Map[String, String]): Either[Error, ValidatorConfig] = {
    val filename = "D:\\Spark\\old\\test_config.yaml"
    logger.info(s"Parsing `$filename`")

And also, I hardcoded Spark to run locally in the Main.scala like:

  def runChecks(mainConfig: CmdLineOptions, origConfig: ValidatorConfig): (Boolean, Boolean) = {
    val varSub = new VarSubstitution
    implicit val spark = SparkSession.builder.appName("data-validator").master("local").enableHiveSupport().getOrCreate()

Environment Details of base machine:
OS: Windows 10 x64
Java version:

C:\Users\appde>java -version
java version "1.8.0_291"
Java(TM) SE Runtime Environment (build 1.8.0_291-b10)
Java HotSpot(TM) 64-Bit Server VM (build 25.291-b10, mixed mode)

sbt version:

D:\Spark\old\data-validator-master>sbt version
[info] welcome to sbt 1.5.7 (Oracle Corporation Java 1.8.0_281)

[colindean]

What happens when you set the threshold, e.g.

numKeyCols: 2
numErrorsToReport: 742

tables:
  - parquetFile: /home/jyoti/Spark/userdata1.parquet
    checks:
      - type: nullCheck
        column: salary
        threshold: 0
        # or
        threshold: "0"

It should be optional, though. We've almost always specified it.

[colindean]

Actually, I found it: /opt/spark/spark-3.1.2-bin-hadoop3.2.

DV doesn't support Spark 3 yet, so all bets are off.

But try something: apply this patch to change the literals:

From 0739e46d2c7ec01d908274aa3a83edd7263fc73a Mon Sep 17 00:00:00 2001
From: Colin Dean <colin.dean@target.com>
Date: Tue, 11 Jan 2022 11:09:50 -0500
Subject: [PATCH] Use a long literal when creating a Spark SQL literal

---
 .../com/target/data_validator/validator/ValidatorBase.scala   | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/src/main/scala/com/target/data_validator/validator/ValidatorBase.scala b/src/main/scala/com/target/data_validator/validator/ValidatorBase.scala
index d815a78..ef8d1eb 100644
--- a/src/main/scala/com/target/data_validator/validator/ValidatorBase.scala
+++ b/src/main/scala/com/target/data_validator/validator/ValidatorBase.scala
@@ -136,8 +136,8 @@ object ValidatorBase extends LazyLogging {
   private val backtick = "`"
   val I0: Literal = Literal.create(0, IntegerType)
   val D0: Literal = Literal.create(0.0, DoubleType)
-  val L0: Literal = Literal.create(0, LongType)
-  val L1: Literal = Literal.create(1, LongType)
+  val L0: Literal = Literal.create(0L, LongType)
+  val L1: Literal = Literal.create(1L, LongType)
 
   def isValueColumn(v: String): Boolean = v.startsWith(backtick)
 
-- 
2.34.1

[colindean]

We may support Spark 3 after #84.

[JyotiRSharma]

Thanks Colin, I will check it out... 😃