我正在尝试复制本文中加载大型sas文件所做的工作
我正在做的是启动一个jupyter笔记本并运行下面的代码。我一直收到一个java加载错误,我不知道为什么。
Spark Version:2.4.6
Scala Version:2.12.2
Java Version:1.8.0_261
import findspark
findspark.init()
from pyspark.sql.session import SparkSession
spark = SparkSession.builder.\
config("spark.jars.packages","saurfang:spark-sas7bdat:2.0.0-s_2.11")\
.enableHiveSupport().getOrCreate()
df=spark.read.format('com.github.saurfang.sas.spark')\
.load(r'D:\IvyDB\opprcd\opprcd2019.sas7bdat')
错误我总是得到下面
Py4JJavaError: An error occurred while calling o163.load.
: java.util.concurrent.TimeoutException: Timed out after 60 sec while reading file metadata, file might be corrupt. (Change timeout with 'metadataTimeout' paramater)
at com.github.saurfang.sas.spark.SasRelation.inferSchema(SasRelation.scala:189)
at com.github.saurfang.sas.spark.SasRelation.(SasRelation.scala:62)
at com.github.saurfang.sas.spark.SasRelation$.apply(SasRelation.scala:43)
at com.github.saurfang.sas.spark.DefaultSource.createRelation(DefaultSource.scala:209)
at com.github.saurfang.sas.spark.DefaultSource.createRelation(DefaultSource.scala:42)
at com.github.saurfang.sas.spark.DefaultSource.createRelation(DefaultSource.scala:27)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:341)
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)
1条答案
按热度按时间wvmv3b1j1#
在我们的例子中,我们可以通过在pyspark中添加parso库来解决这个问题。parso是spark-sas数据源的需求之一。