python error

部署运行你感兴趣的模型镜像
18/07/11 15:43:54 ERROR Utils: Uncaught exception in thread stdout writer for /home/hduser/anaconda2/bin/python
java.lang.AssertionError: assertion failed: Block rdd_13_0 is not locked for reading
    at scala.Predef$.assert(Predef.scala:170)
    at org.apache.spark.storage.BlockInfoManager.unlock(BlockInfoManager.scala:299)
    at org.apache.spark.storage.BlockManager.releaseLock(BlockManager.scala:769)
    at org.apache.spark.storage.BlockManager$$anonfun$1.apply$mcV$sp(BlockManager.scala:540)
	at org.apache.spark.util.CompletionIterator$$anon$1.completion(CompletionIterator.scala:46)
    at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:35)
    at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
    at scala.collection.Iterator$class.foreach(Iterator.scala:893)
    at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
    at org.apache.spark.api.python.PythonRDD$.writeIteratorToStream(PythonRDD.scala:204)
    at org.apache.spark.api.python.PythonRunner$$anon$2.writeIteratorToStream(PythonRunner.scala:407)
	at org.apache.spark.api.python.BasePythonRunner$WriterThread$$anonfun$run$1.apply(PythonRunner.scala:215)
    at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1988)
    at org.apache.spark.api.python.BasePythonRunner$WriterThread.run(PythonRunner.scala:170)
Exception in thread "stdout writer for /home/hduser/anaconda2/bin/python" java.lang.AssertionError: assertion failed: Block rdd_13_0 is not locked for reading
    at scala.Predef$.assert(Predef.scala:170)
    at org.apache.spark.storage.BlockInfoManager.unlock(BlockInfoManager.scala:299)
    at org.apache.spark.storage.BlockManager.releaseLock(BlockManager.scala:769)
    at org.apache.spark.storage.BlockManager$$anonfun$1.apply$mcV$sp(BlockManager.scala:540)
	at org.apache.spark.util.CompletionIterator$$anon$1.completion(CompletionIterator.scala:46)
    at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:35)
    at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
    at scala.collection.Iterator$class.foreach(Iterator.scala:893)
    at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
    at org.apache.spark.api.python.PythonRDD$.writeIteratorToStream(PythonRDD.scala:204)
    at org.apache.spark.api.python.PythonRunner$$anon$2.writeIteratorToStream(PythonRunner.scala:407)
	at org.apache.spark.api.python.BasePythonRunner$WriterThread$$anonfun$run$1.apply(PythonRunner.scala:215)
    at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1988)
    at org.apache.spark.api.python.BasePythonRunner$WriterThread.run(PythonRunner.scala:170)

您可能感兴趣的与本文相关的镜像

Python3.11

Python3.11

Conda
Python

Python 是一种高级、解释型、通用的编程语言,以其简洁易读的语法而闻名,适用于广泛的应用,包括Web开发、数据分析、人工智能和自动化脚本

评论
成就一亿技术人!
拼手气红包6.0元
还能输入1000个字符
 
红包 添加红包
表情包 插入表情
 条评论被折叠 查看
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值