问题
Using Zeppelin 0.7.2 binaries from the main download, and Spark 2.1.0 w/ Hadoop 2.6, the following paragraph:
val df = spark.read.parquet(DATA_URL).filter(FILTER_STRING).na.fill("")
Produces the following:
java.lang.NoSuchMethodError: com.fasterxml.jackson.module.scala.deser.BigDecimalDeserializer$.handledType()Ljava/lang/Class;
at com.fasterxml.jackson.module.scala.deser.NumberDeserializers$.<init>(ScalaNumberDeserializersModule.scala:49)
at com.fasterxml.jackson.module.scala.deser.NumberDeserializers$.<clinit>(ScalaNumberDeserializersModule.scala)
at com.fasterxml.jackson.module.scala.deser.ScalaNumberDeserializersModule$class.$init$(ScalaNumberDeserializersModule.scala:61)
at com.fasterxml.jackson.module.scala.DefaultScalaModule.<init>(DefaultScalaModule.scala:20)
at com.fasterxml.jackson.module.scala.DefaultScalaModule$.<init>(DefaultScalaModule.scala:37)
at com.fasterxml.jackson.module.scala.DefaultScalaModule$.<clinit>(DefaultScalaModule.scala)
at org.apache.spark.rdd.RDDOperationScope$.<init>(RDDOperationScope.scala:82)
at org.apache.spark.rdd.RDDOperationScope$.<clinit>(RDDOperationScope.scala)
at org.apache.spark.SparkContext.withScope(SparkContext.scala:701)
at org.apache.spark.SparkContext.parallelize(SparkContext.scala:715)
at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$.mergeSchemasInParallel(ParquetFileFormat.scala:594)
at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat.inferSchema(ParquetFileFormat.scala:235)
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$7.apply(DataSource.scala:184)
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$7.apply(DataSource.scala:184)
at scala.Option.orElse(Option.scala:289)
at org.apache.spark.sql.execution.datasources.DataSource.org$apache$spark$sql$execution$datasources$DataSource$$getOrInferFileFormatSchema(DataSource.scala:183)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:387)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:152)
at org.apache.spark.sql.DataFrameReader.parquet(DataFrameReader.scala:441)
at org.apache.spark.sql.DataFrameReader.parquet(DataFrameReader.scala:425)
... 47 elided
This error does not happen in the normal spark-shell, only in Zeppelin. I have attempted the following fixes, which do nothing:
- Download jackson 2.6.2 jars to the zeppelin lib folder and restart
- Add jackson 2.9 dependencies from the maven repositories to the interpreter settings
- Deleting the jackson jars from the zeppelin lib folder
Googling is turning up no similar situations. Please don't hesitate to ask for more information, or make suggestions. Thanks!
回答1:
I had the same problem. I added com.amazonaws:aws-java-sdk
and org.apache.hadoop:hadoop-aws
as dependencies for the Spark interpreter. These dependencies bring in their own versions of com.fasterxml.jackson.core:*
and conflict with Spark's.
You also must exclude com.fasterxml.jackson.core:*
from other dependencies, this is an example ${ZEPPELIN_HOME}/conf/interpreter.json
Spark interpreter depenency section:
"dependencies": [
{
"groupArtifactVersion": "com.amazonaws:aws-java-sdk:1.7.4",
"local": false,
"exclusions": ["com.fasterxml.jackson.core:*"]
},
{
"groupArtifactVersion": "org.apache.hadoop:hadoop-aws:2.7.1",
"local": false,
"exclusions": ["com.fasterxml.jackson.core:*"]
}
]
回答2:
Another way is to include it right in the notebook cell:
%dep
z.load("com.fasterxml.jackson.core:jackson-core:2.6.2")
来源:https://stackoverflow.com/questions/45511804/zeppelin-spark-reading-parquet-from-s3-throws-nosuchmethoderror-com-fasterxm