java.lang.IllegalArgumentException: ошибка при создании экземпляра 'org.apache.spark.sql.hive.HiveSessionState': при чтении CSV-файла с использованием сеанса spark - PullRequest
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java.lang.IllegalArgumentException: ошибка при создании экземпляра 'org.apache.spark.sql.hive.HiveSessionState': при чтении CSV-файла с использованием сеанса spark

0 голосов
/ 21 октября 2019

Я застрял с ошибкой org.apache.spark.sql.hive.HiveSessionState, когда пытался прочитать csv-файл с помощью сеанса spark. Я перепробовал все решения для аналогичной ошибки, но ни одно из них не помогло решить мою проблемуНиже приведен код, который я использую для создания сеанса spark и чтения файла CSV. 

import org.apache.spark.SparkConf
import org.apache.spark.sql.{DataFrame, SparkSession}
import org.slf4j.{Logger, LoggerFactory}

object LocalTesting {

private val logger: Logger = LoggerFactory.getLogger(getClass)
lazy protected val (ss: SparkSession, local: Boolean, partCount: Int) = {
val conf = new SparkConf()
  .set("hive.exec.orc.split.strategy", "ETL")
  .set("hive.exec.dynamic.partition", "true")
  .set("hive.exec.dynamic.partition.mode", "nonstrict")

val (local, partCount) =
  if (!conf.contains("spark.master")) {
    logger.info("Running in local mode")
    conf.setMaster("local[2]")
    (true, 2)
  } else {
    logger.info("Running in cluster mode")
    (false, 16)
  }

val ss = SparkSession.builder().enableHiveSupport().config(conf).appName("local job").getOrCreate()
//ss.sparkContext.setLogLevel("WARN")
(ss, local, partCount)

ss.read.format("com.databricks.spark.csv")
  .option("header",true)
  .option("delimiter", ",")
  .load(getFilePath("local_input_data.csv"))

Ниже приведена ошибка, которую я получаю. 

Exception in thread "main" java.lang.IllegalArgumentException: Error while instantiating 'org.apache.spark.sql.hive.HiveSessionState':
at org.apache.spark.sql.SparkSession$.org$apache$spark$sql$SparkSession$$reflect(SparkSession.scala:989)
at org.apache.spark.sql.SparkSession.sessionState$lzycompute(SparkSession.scala:116)
at org.apache.spark.sql.SparkSession.sessionState(SparkSession.scala:115)
at org.apache.spark.sql.DataFrameReader.<init>(DataFrameReader.scala:549)
at org.apache.spark.sql.SparkSession.read(SparkSession.scala:613)
at com.apple.ist.gbi.Psd2Trait$class.input_data(Psd2Trait.scala:30)
at com.apple.ist.gbi.Psd2DetailApp.input_data$lzycompute(Psd2DetailApp.scala:14)
at com.apple.ist.gbi.Psd2DetailApp.input_data(Psd2DetailApp.scala:14)
at com.apple.ist.gbi.Psd2LocalTesting$.testLocal(Psd2LocalTesting.scala:42)
at com.apple.ist.gbi.Psd2LocalTesting$.main(Psd2LocalTesting.scala:47)
at com.apple.ist.gbi.Psd2LocalTesting.main(Psd2LocalTesting.scala)

 Caused by: java.lang.reflect.InvocationTargetException
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at org.apache.spark.sql.SparkSession$.org$apache$spark$sql$SparkSession$$reflect(SparkSession.scala:986)
... 10 more
Caused by: java.lang.IllegalArgumentException: Error while instantiating 'org.apache.spark.sql.hive.HiveExternalCatalog':
at org.apache.spark.sql.internal.SharedState$.org$apache$spark$sql$internal$SharedState$$reflect(SharedState.scala:169)
at org.apache.spark.sql.internal.SharedState.<init>(SharedState.scala:86)
at org.apache.spark.sql.SparkSession$$anonfun$sharedState$1.apply(SparkSession.scala:101)
at org.apache.spark.sql.SparkSession$$anonfun$sharedState$1.apply(SparkSession.scala:101)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.sql.SparkSession.sharedState$lzycompute(SparkSession.scala:101)
at org.apache.spark.sql.SparkSession.sharedState(SparkSession.scala:100)
at org.apache.spark.sql.internal.SessionState.<init>(SessionState.scala:157)
at org.apache.spark.sql.hive.HiveSessionState.<init>(HiveSessionState.scala:32)
... 15 more
Caused by: java.lang.reflect.InvocationTargetException
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at org.apache.spark.sql.internal.SharedState$.org$apache$spark$sql$internal$SharedState$$reflect(SharedState.scala:166)
... 23 more

Ниже приведен файл pom: 

<properties>
    <scala.compat.version>2.11</scala.compat.version>
    <scala.version>2.11.8</scala.version>
    <spark.version>2.1.2</spark.version>
</properties>

     <!-- https://mvnrepository.com/artifact/org.scala-lang/scala-library -->
    <dependency>
        <groupId>org.scala-lang</groupId>
        <artifactId>scala-library</artifactId>
        <version>${scala.version}</version>
    </dependency>
    <!-- https://mvnrepository.com/artifact/org.scala-lang/scala-reflect -->
    <dependency>
        <groupId>org.scala-lang</groupId>
        <artifactId>scala-reflect</artifactId>
        <version>${scala.version}</version>
    </dependency>
    <!-- https://mvnrepository.com/artifact/org.scala-lang.modules/scala-xml -->
    <dependency>
        <groupId>org.scala-lang.modules</groupId>
        <artifactId>scala-xml_2.11</artifactId>
        <version>1.0.6</version>
    </dependency>
    <!-- https://mvnrepository.com/artifact/org.apache.spark/spark-core -->
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-core_${scala.compat.version}</artifactId>
        <version>${spark.version}</version>
    </dependency>
    <!-- https://mvnrepository.com/artifact/org.apache.spark/spark-sql -->
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-sql_${scala.compat.version}</artifactId>
        <version>${spark.version}</version>
    </dependency>
    <!-- https://mvnrepository.com/artifact/org.apache.spark/spark-hive -->
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-hive_${scala.compat.version}</artifactId>
        <version>${spark.version}</version>
    </dependency>
    <!-- https://mvnrepository.com/artifact/com.databricks/spark-csv -->
    <!--dependency>
        <groupId>com.databricks</groupId>
        <artifactId>spark-csv_${scala.compat.version}</artifactId>
        <version>1.5.0</version>
    </dependency-->
    <!-- https://mvnrepository.com/artifact/org.slf4j/slf4j-api -->
    <dependency>
        <groupId>org.slf4j</groupId>
        <artifactId>slf4j-api</artifactId>
        <version>1.7.25</version>
    </dependency>
    <!-- https://mvnrepository.com/artifact/org.slf4j/slf4j-simple -->
    <dependency>
        <groupId>org.slf4j</groupId>
        <artifactId>slf4j-simple</artifactId>
        <version>1.7.25</version>
    </dependency>
    <!-- https://mvnrepository.com/artifact/org.slf4j/slf4j-log4j12 -->
    <dependency>
        <groupId>org.slf4j</groupId>
        <artifactId>slf4j-log4j12</artifactId>
        <version>1.7.25</version>
    </dependency>
    <!-- https://mvnrepository.com/artifact/commons-configuration/commons-configuration -->
    <dependency>
        <groupId>commons-configuration</groupId>
        <artifactId>commons-configuration</artifactId>
        <version>1.6</version>
    </dependency>
    <!-- https://mvnrepository.com/artifact/commons-lang/commons-lang -->
    <dependency>
        <groupId>commons-lang</groupId>
        <artifactId>commons-lang</artifactId>
        <version>2.6</version>
    </dependency>
    <!-- https://mvnrepository.com/artifact/com.fasterxml.jackson.core/jackson-core -->
    <dependency>
        <groupId>com.fasterxml.jackson.core</groupId>
        <artifactId>jackson-core</artifactId>
        <version>2.6.5</version>
    </dependency>
    <!-- https://mvnrepository.com/artifact/com.fasterxml.jackson.core/jackson-annotations -->
    <dependency>
        <groupId>com.fasterxml.jackson.core</groupId>
        <artifactId>jackson-annotations</artifactId>
        <version>2.6.5</version>
    </dependency>

Я попытался добавить конфигурацию ("spark.sql.warehouse.dir", "./spark-warehouse") при созданиисеанс зажигания, но проблема до сих пор не решена. 

val ss = SparkSession.builder().enableHiveSupport().config(conf)
  .config("spark.sql.warehouse.dir", "./spark-warehouse")
  .appName("local payments job").getOrCreate()

Любая помощь приветствуется.

1 Ответ

0 голосов
/ 21 октября 2019

Тот же код выше работал на моем кластере. Кажется, проблема конфигурации кластера

...