Py4JJavaError: Произошла ошибка при вызове o437.save - PullRequest
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Py4JJavaError: Произошла ошибка при вызове o437.save

0 голосов
/ 24 апреля 2020

Я новичок в Spark.
Я пытаюсь использовать spark-tenorflow-connector для получения данных tfrecords из данных паркета.
Однако я обнаружил следующую ошибку , Не могли бы вы помочь мне понять сообщение об ошибке?

Среда

  • Цеппелин на EMR
  • Apache Spark = 2.4.2
  • Apache Maven 3.6.3

Код 

%spark.pyspark

from pyspark.sql.types import *
from pyspark.sql import SparkSession

jar_path = '/usr/lib/jvm/setting_for_tensorflow_hadoop/spark/spark-tensorflow-connector/target/spark-tensorflow-connector_2.11-1.12.0.jar'
spark = SparkSession.builder.appName("Test").config('spark.jars', jar_path).getOrCreate()

path = '/mnt/s3/personal/pikata/test.tfrecord'

fields = [StructField("id", IntegerType()), StructField("IntegerCol", IntegerType()),
          StructField("LongCol", LongType()), StructField("FloatCol", FloatType()),
          StructField("DoubleCol", DoubleType()), StructField("VectorCol", ArrayType(DoubleType(), True)),
          StructField("StringCol", StringType())]
schema = StructType(fields)
test_rows = [[11, 1, 23, 10.0, 14.0, [1.0, 2.0], "r1"], [21, 2, 24, 12.0, 15.0, [2.0, 2.0], "r2"]]
rdd = spark.sparkContext.parallelize(test_rows)
df = spark.createDataFrame(rdd, schema)
df.write.format("tfrecords").option("recordType", "Example").save(path)

df = spark.read.format("tfrecords").option("recordType", "Example").load(path)
df.show()

Выход 

Py4JJavaError: An error occurred while calling o437.save.
: java.lang.ClassNotFoundException: Failed to find data source: tfrecords. Please find packages at http://spark.apache.org/third-party-projects.html
    at org.apache.spark.sql.execution.datasources.DataSource$.lookupDataSource(DataSource.scala:657)
    at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:245)
    at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:229)
    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 py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
    at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
    at py4j.Gateway.invoke(Gateway.java:282)
    at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
    at py4j.commands.CallCommand.execute(CallCommand.java:79)
    at py4j.GatewayConnection.run(GatewayConnection.java:238)
    at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: tfrecords.DefaultSource
    at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:419)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:352)
    at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$20$$anonfun$apply$12.apply(DataSource.scala:634)
    at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$20$$anonfun$apply$12.apply(DataSource.scala:634)
    at scala.util.Try$.apply(Try.scala:192)
    at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$20.apply(DataSource.scala:634)
    at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$20.apply(DataSource.scala:634)
    at scala.util.Try.orElse(Try.scala:84)
    at org.apache.spark.sql.execution.datasources.DataSource$.lookupDataSource(DataSource.scala:634)
    ... 13 more

(<class 'py4j.protocol.Py4JJavaError'>, Py4JJavaError('An error occurred while calling o437.save.\n', JavaObject id=o438), <traceback object at 0x7f19c3cff508>)
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