个人中心
文章发布
退出
作者热门文章
- android - 多次调用 OnPrimaryClipChangedListener
- android - 无法更新 RecyclerView 中的 TextView 字段
- android.database.CursorIndexOutOfBoundsException : Index 0 requested, 光标大小为 0
- android - 使用 AppCompat 时，我们是否需要明确指定其 UI 组件(Spinner、EditText)颜色
24
4
使用:OSX 10.11.2、SPARK 版本 1.5.2、Python 版本 2.7.10、iPython 4.0.1
从 iPython Notebook 的终端打开 SPARK，我使用以下命令:
IPYTHON=1 $SPARK_HOME/bin/pyspark
我的目标是并行化整数向量，然后对该向量应用 count、first 和 take 函数。
我的工作流程如下(在 IPython 笔记本中打开 Spark 后):
rdd=sc.parallelize([1,2 ,3])
rdd.collect()
然后当我尝试像这样运行计数函数时，
rdd.count()
我收到以下错误:(请注意，我意识到错误的来源是非法端口号，但是我可以通过更改使用的端口号来帮助解决此错误。我怀疑错误源源自iPython 和 Spark 之间的交互，但环顾四周，it seems like the developers already addressed this error 。)
In [3]: rdd.count()
15/12/21 14:27:39 INFO SparkContext: Starting job: count at <ipython-input-3-a0443394e570>:1
15/12/21 14:27:39 INFO DAGScheduler: Got job 1 (count at <ipython-input-3-a0443394e570>:1) with 4 output partitions
15/12/21 14:27:39 INFO DAGScheduler: Final stage: ResultStage 1(count at <ipython-input-3-a0443394e570>:1)
15/12/21 14:27:39 INFO DAGScheduler: Parents of final stage: List()
15/12/21 14:27:39 INFO DAGScheduler: Missing parents: List()
15/12/21 14:27:39 INFO DAGScheduler: Submitting ResultStage 1 (PythonRDD[1] at count at <ipython-input-3-a0443394e570>:1), which has no missing parents
15/12/21 14:27:39 INFO MemoryStore: ensureFreeSpace(4200) called with curMem=2001, maxMem=555755765
15/12/21 14:27:39 INFO MemoryStore: Block broadcast_1 stored as values in memory (estimated size 4.1 KB, free 530.0 MB)
15/12/21 14:27:39 INFO MemoryStore: ensureFreeSpace(2713) called with curMem=6201, maxMem=555755765
15/12/21 14:27:39 INFO MemoryStore: Block broadcast_1_piece0 stored as bytes in memory (estimated size 2.6 KB, free 530.0 MB)
15/12/21 14:27:39 INFO BlockManagerInfo: Added broadcast_1_piece0 in memory on localhost:64049 (size: 2.6 KB, free: 530.0 MB)
15/12/21 14:27:39 INFO SparkContext: Created broadcast 1 from broadcast at DAGScheduler.scala:861
15/12/21 14:27:39 INFO DAGScheduler: Submitting 4 missing tasks from ResultStage 1 (PythonRDD[1] at count at <ipython-input-3-a0443394e570>:1)
15/12/21 14:27:39 INFO TaskSchedulerImpl: Adding task set 1.0 with 4 tasks
15/12/21 14:27:39 INFO TaskSetManager: Starting task 0.0 in stage 1.0 (TID 4, localhost, PROCESS_LOCAL, 2071 bytes)
15/12/21 14:27:39 INFO TaskSetManager: Starting task 1.0 in stage 1.0 (TID 5, localhost, PROCESS_LOCAL, 2090 bytes)
15/12/21 14:27:39 INFO TaskSetManager: Starting task 2.0 in stage 1.0 (TID 6, localhost, PROCESS_LOCAL, 2090 bytes)
15/12/21 14:27:39 INFO TaskSetManager: Starting task 3.0 in stage 1.0 (TID 7, localhost, PROCESS_LOCAL, 2090 bytes)
15/12/21 14:27:39 INFO Executor: Running task 0.0 in stage 1.0 (TID 4)
15/12/21 14:27:39 INFO Executor: Running task 1.0 in stage 1.0 (TID 5)
15/12/21 14:27:39 INFO Executor: Running task 2.0 in stage 1.0 (TID 6)
15/12/21 14:27:39 INFO Executor: Running task 3.0 in stage 1.0 (TID 7)
15/12/21 14:27:39 ERROR Executor: Exception in task 2.0 in stage 1.0 (TID 6)
java.lang.IllegalArgumentException: port out of range:1315905645
at java.net.InetSocketAddress.checkPort(InetSocketAddress.java:143)
at java.net.InetSocketAddress.<init>(InetSocketAddress.java:188)
at java.net.Socket.<init>(Socket.java:244)
at org.apache.spark.api.python.PythonWorkerFactory.createSocket$1(PythonWorkerFactory.scala:75)
at org.apache.spark.api.python.PythonWorkerFactory.liftedTree1$1(PythonWorkerFactory.scala:90)
at org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:89)
at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:62)
at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:135)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:101)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
15/12/21 14:27:39 ERROR Executor: Exception in task 0.0 in stage 1.0 (TID 4)
java.lang.IllegalArgumentException: port out of range:1315905645
at java.net.InetSocketAddress.checkPort(InetSocketAddress.java:143)
at java.net.InetSocketAddress.<init>(InetSocketAddress.java:188)
at java.net.Socket.<init>(Socket.java:244)
at org.apache.spark.api.python.PythonWorkerFactory.createSocket$1(PythonWorkerFactory.scala:75)
at org.apache.spark.api.python.PythonWorkerFactory.liftedTree1$1(PythonWorkerFactory.scala:90)
at org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:89)
at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:62)
at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:135)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:101)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
15/12/21 14:27:39 ERROR Executor: Exception in task 3.0 in stage 1.0 (TID 7)
java.lang.IllegalArgumentException: port out of range:1315905645
at java.net.InetSocketAddress.checkPort(InetSocketAddress.java:143)
at java.net.InetSocketAddress.<init>(InetSocketAddress.java:188)
at java.net.Socket.<init>(Socket.java:244)
at org.apache.spark.api.python.PythonWorkerFactory.createSocket$1(PythonWorkerFactory.scala:75)
at org.apache.spark.api.python.PythonWorkerFactory.liftedTree1$1(PythonWorkerFactory.scala:90)
at org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:89)
at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:62)
at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:135)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:101)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
15/12/21 14:27:39 ERROR Executor: Exception in task 1.0 in stage 1.0 (TID 5)
java.lang.IllegalArgumentException: port out of range:1315905645
at java.net.InetSocketAddress.checkPort(InetSocketAddress.java:143)
at java.net.InetSocketAddress.<init>(InetSocketAddress.java:188)
at java.net.Socket.<init>(Socket.java:244)
at org.apache.spark.api.python.PythonWorkerFactory.createSocket$1(PythonWorkerFactory.scala:75)
at org.apache.spark.api.python.PythonWorkerFactory.liftedTree1$1(PythonWorkerFactory.scala:90)
at org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:89)
at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:62)
at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:135)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:101)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
odule named dateutil.tz
?615/12/21 14:27:39 WARN TaskSetManager: Lost task 0.0 in stage 1.0 (TID 4, localhost): java.lang.IllegalArgumentException: port out of range:1315905645
at java.net.InetSocketAddress.checkPort(InetSocketAddress.java:143)
at java.net.InetSocketAddress.<init>(InetSocketAddress.java:188)
at java.net.Socket.<init>(Socket.java:244)
at org.apache.spark.api.python.PythonWorkerFactory.createSocket$1(PythonWorkerFactory.scala:75)
at org.apache.spark.api.python.PythonWorkerFactory.liftedTree1$1(PythonWorkerFactory.scala:90)
at org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:89)
at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:62)
at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:135)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:101)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
15/12/21 14:27:39 ERROR TaskSetManager: Task 0 in stage 1.0 failed 1 times; aborting job
15/12/21 14:27:39 INFO TaskSchedulerImpl: Removed TaskSet 1.0, whose tasks have all completed, from pool
15/12/21 14:27:39 INFO TaskSetManager: Lost task 2.0 in stage 1.0 (TID 6) on executor localhost: java.lang.IllegalArgumentException (port out of range:1315905645) [duplicate 1]
15/12/21 14:27:39 INFO TaskSchedulerImpl: Removed TaskSet 1.0, whose tasks have all completed, from pool
15/12/21 14:27:39 INFO TaskSetManager: Lost task 3.0 in stage 1.0 (TID 7) on executor localhost: java.lang.IllegalArgumentException (port out of range:1315905645) [duplicate 2]
15/12/21 14:27:39 INFO TaskSchedulerImpl: Removed TaskSet 1.0, whose tasks have all completed, from pool
15/12/21 14:27:39 INFO TaskSetManager: Lost task 1.0 in stage 1.0 (TID 5) on executor localhost: java.lang.IllegalArgumentException (port out of range:1315905645) [duplicate 3]
15/12/21 14:27:39 INFO TaskSchedulerImpl: Removed TaskSet 1.0, whose tasks have all completed, from pool
15/12/21 14:27:39 INFO TaskSchedulerImpl: Cancelling stage 1
15/12/21 14:27:39 INFO DAGScheduler: ResultStage 1 (count at <ipython-input-3-a0443394e570>:1) failed in 0.537 s
15/12/21 14:27:39 INFO DAGScheduler: Job 1 failed: count at <ipython-input-3-a0443394e570>:1, took 0.564707 s
---------------------------------------------------------------------------
Py4JJavaError Traceback (most recent call last)
<ipython-input-3-a0443394e570> in <module>()
----> 1 rdd.count()
/Users/jason/spark-1.5.2-bin-hadoop2.6/python/pyspark/rdd.pyc in count(self)
1004 3
1005 """
-> 1006 return self.mapPartitions(lambda i: [sum(1 for _ in i)]).sum()
1007
1008 def stats(self):
/Users/jason/spark-1.5.2-bin-hadoop2.6/python/pyspark/rdd.pyc in sum(self)
995 6.0
996 """
--> 997 return self.mapPartitions(lambda x: [sum(x)]).fold(0, operator.add)
998
999 def count(self):
/Users/jason/spark-1.5.2-bin-hadoop2.6/python/pyspark/rdd.pyc in fold(self, zeroValue, op)
869 # zeroValue provided to each partition is unique from the one provided
870 # to the final reduce call
--> 871 vals = self.mapPartitions(func).collect()
872 return reduce(op, vals, zeroValue)
873
/Users/jason/spark-1.5.2-bin-hadoop2.6/python/pyspark/rdd.pyc in collect(self)
771 """
772 with SCCallSiteSync(self.context) as css:
--> 773 port = self.ctx._jvm.PythonRDD.collectAndServe(self._jrdd.rdd())
774 return list(_load_from_socket(port, self._jrdd_deserializer))
775
/Users/jason/spark-1.5.2-bin-hadoop2.6/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py in __call__(self, *args)
536 answer = self.gateway_client.send_command(command)
537 return_value = get_return_value(answer, self.gateway_client,
--> 538 self.target_id, self.name)
539
540 for temp_arg in temp_args:
/Users/jason/spark-1.5.2-bin-hadoop2.6/python/pyspark/sql/utils.pyc in deco(*a, **kw)
34 def deco(*a, **kw):
35 try:
---> 36 return f(*a, **kw)
37 except py4j.protocol.Py4JJavaError as e:
38 s = e.java_exception.toString()
/Users/jason/spark-1.5.2-bin-hadoop2.6/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name)
298 raise Py4JJavaError(
299 'An error occurred while calling {0}{1}{2}.\n'.
--> 300 format(target_id, '.', name), value)
301 else:
302 raise Py4JError(
Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 1.0 failed 1 times, most recent failure: Lost task 0.0 in stage 1.0 (TID 4, localhost): java.lang.IllegalArgumentException: port out of range:1315905645
at java.net.InetSocketAddress.checkPort(InetSocketAddress.java:143)
at java.net.InetSocketAddress.<init>(InetSocketAddress.java:188)
at java.net.Socket.<init>(Socket.java:244)
at org.apache.spark.api.python.PythonWorkerFactory.createSocket$1(PythonWorkerFactory.scala:75)
at org.apache.spark.api.python.PythonWorkerFactory.liftedTree1$1(PythonWorkerFactory.scala:90)
at org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:89)
at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:62)
at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:135)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:101)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1283)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1271)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1270)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1270)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)
at scala.Option.foreach(Option.scala:236)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:697)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1496)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1458)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1447)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:567)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1824)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1837)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1850)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1921)
at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:909)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:310)
at org.apache.spark.rdd.RDD.collect(RDD.scala:908)
at org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:405)
at org.apache.spark.api.python.PythonRDD.collectAndServe(PythonRDD.scala)
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:483)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379)
at py4j.Gateway.invoke(Gateway.java:259)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:207)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.lang.IllegalArgumentException: port out of range:1315905645
at java.net.InetSocketAddress.checkPort(InetSocketAddress.java:143)
at java.net.InetSocketAddress.<init>(InetSocketAddress.java:188)
at java.net.Socket.<init>(Socket.java:244)
at org.apache.spark.api.python.PythonWorkerFactory.createSocket$1(PythonWorkerFactory.scala:75)
at org.apache.spark.api.python.PythonWorkerFactory.liftedTree1$1(PythonWorkerFactory.scala:90)
at org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:89)
at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:62)
at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:135)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:101)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
... 1 more
有什么想法吗？
最佳答案
pyspark 在启动 daemon.py 时读取 python std 开头的一些字节以获取工作端口值，也许您有一些配置向 std 添加了一些输出。
关于python - 如何解决 PySpark 中的非法端口号？，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/34402994/
24
4
0
@Cacheable在同一类中方法调用无效 上述图片中，同一个类中genLiveBullets()方法调用同类中的queryLiveByRoom()方法，这样即便标识了Cacheable标签，
目录 @Transaction注解导致动态切换更改数据库失效 使用场景 遇到问题 解决 @Transaction
@RequestBody不能class类型匹配 在首次第一次尝试使用@RequestBody注解 开始加载字符串使用post提交（貌似只能post），加Json数据格式传输的时候，
目录 @Autowired注入static接口问题 @Autowired自动注入普通service很方便 但是如果注入static修饰的serv
目录 @RequestBody部分属性丢失 问题描述 JavaBean实现 Controller实现
目录 解决@PathVariable参数接收不完整的问题 今天遇到的问题是： 解决办法： @PathVariable接受的参
这几天在项目里面发现我使用@Transactional注解事务之后，抛了异常居然不回滚。后来终于找到了原因。 如果你也出现了这种情况，可以从下面开始排查。 1、特性 先来了解一下@Trans
概述： ? 1
场景： 在处理定时任务时，由于这几个方法都是静态方法，在aop的切面中使用@Around注解，进行监控方法调用是否有异常。 发现aop没有生效。 代码如下：
最近做项目的时候 用户提出要上传大图片 一张图片有可能十几兆 本来用的第三方的上传控件 有限制图片上传大小的设置 以前设置的是2M&nb
我已经实现了这个SCIM reference code在我们的应用程序中。 我实现的代码确实通过了此postman link中存在的所有用户测试集合。 。我的 SCIM Api 也被 Azure 接受
我一直对“然后”不被等待的行为感到困扰，我明白其原因。然而，我仍然需要绕过它。这是我的用例。 doWork(family) { return doWork1(family)
我正在尝试查找 channel 中的消息是否仍然存在，但是，我不确定如何解决 promise ，查看其他答案和文档，我可以看到它可能是通过函数实现的，但我是不完全确定如何去做。我希望能在这方面获得一些
我有以下情况: 同一工作区中的 2 个 Eclipse 项目:Apa 和 Bepa(为简洁起见，使用化名)。 Apa 项目引用(包括)Bepa 项目。 我在 Bepa 有一个类 X，具有公共(publ
这个问题已经有答案了: Why am I getting a NoClassDefFoundError in Java? (31 个回答) 已关闭 6 年前。 我正在努力学习 spring。所以我输入
我正在写一个小游戏，屏幕上有许多圆圈在移动。 我在两个线程中管理圈子，如下所示: public void run() { int stepCount = 0; int dx;
我在使用 Sympy 求解方程时遇到问题。当我运行代码时，例如: 打印(校正(10)) 我希望它打印一个数字 f。相反，它给我错误:执行中止。 def correction(r): from
好吧，我制作的每个页面都有这个问题。我不确定我做错了什么，但我所有的页面都不适用于所有分辨率。可能是因为我使用的是宽屏？大声笑我不确定，但在小于宽屏分辨率的情况下，它永远不会看起来正确。它的某些部分你
我正在尝试像这样进行一个非常简单的文化 srting 检查 if(culture.ToUpper() == "ES-ES" || "IT-IT") { //do something } else
Closed. This question is off-topic. It is not currently accepting answers. Learn more。 想改进这个问题吗？Upda
我是一名优秀的程序员,十分优秀！