java.lang.NoSuchMethodError 使用 PySpark 读取 avro 文件时
java.lang.NoSuchMethodError when reading an avro file using PySpark
我正在尝试在 Dataproc 作业上使用 PySpark 运行 加载 avro 文件:
spark_session.read.format("avro").load("/path/to/avro")
我遇到了流动错误:
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/readwriter.py", line 166, in load
File "/usr/lib/spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", line 1257, in __call__
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/utils.py", line 63, in deco
File "/usr/lib/spark/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", line 328, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o259.load.
: java.lang.NoSuchMethodError: org.apache.spark.sql.internal.SQLConf.avroCompressionCodec()Ljava/lang/String;
at org.apache.spark.sql.avro.AvroOptions$$anonfun.apply(AvroOptions.scala:80)
at org.apache.spark.sql.avro.AvroOptions$$anonfun.apply(AvroOptions.scala:80)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.sql.avro.AvroOptions.<init>(AvroOptions.scala:80)
at org.apache.spark.sql.avro.AvroOptions.<init>(AvroOptions.scala:34)
at org.apache.spark.sql.avro.AvroFileFormat.inferSchema(AvroFileFormat.scala:60)
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun.apply(DataSource.scala:203)
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun.apply(DataSource.scala:203)
at scala.Option.orElse(Option.scala:289)
at org.apache.spark.sql.execution.datasources.DataSource.getOrInferFileFormatSchema(DataSource.scala:202)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:393)
at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:239)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:227)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:174)
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)
版本:
- PySpark:2.3.4
- 火花:2.3.4
- 数据处理:1.3.56-debian9
- Avro: org.apache.spark:spark-avro_2.11:2.4.5
您看到此错误是因为您在 Spark 2.4.5 和 Spark 2.3.4 中使用 spark-avro
库,您应该使用具有 Spark 2.4.5 的 Dataproc 1.4 来解决此问题。
我正在尝试在 Dataproc 作业上使用 PySpark 运行 加载 avro 文件:
spark_session.read.format("avro").load("/path/to/avro")
我遇到了流动错误:
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/readwriter.py", line 166, in load
File "/usr/lib/spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", line 1257, in __call__
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/utils.py", line 63, in deco
File "/usr/lib/spark/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", line 328, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o259.load.
: java.lang.NoSuchMethodError: org.apache.spark.sql.internal.SQLConf.avroCompressionCodec()Ljava/lang/String;
at org.apache.spark.sql.avro.AvroOptions$$anonfun.apply(AvroOptions.scala:80)
at org.apache.spark.sql.avro.AvroOptions$$anonfun.apply(AvroOptions.scala:80)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.sql.avro.AvroOptions.<init>(AvroOptions.scala:80)
at org.apache.spark.sql.avro.AvroOptions.<init>(AvroOptions.scala:34)
at org.apache.spark.sql.avro.AvroFileFormat.inferSchema(AvroFileFormat.scala:60)
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun.apply(DataSource.scala:203)
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun.apply(DataSource.scala:203)
at scala.Option.orElse(Option.scala:289)
at org.apache.spark.sql.execution.datasources.DataSource.getOrInferFileFormatSchema(DataSource.scala:202)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:393)
at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:239)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:227)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:174)
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)
版本:
- PySpark:2.3.4
- 火花:2.3.4
- 数据处理:1.3.56-debian9
- Avro: org.apache.spark:spark-avro_2.11:2.4.5
您看到此错误是因为您在 Spark 2.4.5 和 Spark 2.3.4 中使用 spark-avro
库,您应该使用具有 Spark 2.4.5 的 Dataproc 1.4 来解决此问题。