- html - 出于某种原因,IE8 对我的 Sass 文件中继承的 html5 CSS 不友好?
- JMeter 在响应断言中使用 span 标签的问题
- html - 在 :hover and :active? 上具有不同效果的 CSS 动画
- html - 相对于居中的 html 内容固定的 CSS 重复背景?
我在 Hive 上有这张 table :
CREATE TABLE `mydb`.`raw_sales` (
`combustivel` STRING,
`regiao` STRING,
`estado` STRING,
`jan` STRING,
`fev` STRING,
`mar` STRING,
`abr` STRING,
`mai` STRING,
`jun` STRING,
`jul` STRING,
`ago` STRING,
`set` STRING,
`out` STRING,
`nov` STRING,
`dez` STRING,
`total` STRING,
`created_at` TIMESTAMP,
`ano` STRING)
USING orc
LOCATION 'hdfs://localhost:9000/jobs/etl/tables/raw_sales.orc'
TBLPROPERTIES (
'transient_lastDdlTime' = '1601322056',
'ORC.COMPRESS' = 'SNAPPY')
表上有数据,但是当我在下面尝试这个查询时:
spark.sql("SELECT * FROM mydb.raw_sales WHERE ano = '2000' AND combustivel like '%GASOLINA%'").show()
它崩溃了!
>>> spark.sql("SELECT * FROM mydb.raw_sales WHERE ano = 2000 AND combustivel like '%GASOLINA%'").show() [164/3679]
20/09/28 19:25:30 ERROR executor.Executor: Exception in task 0.0 in stage 61.0 (TID 133)
java.lang.ClassCastException: java.lang.String cannot be cast to java.lang.Number
at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.castLiteralValue(OrcFilters.scala:163)
at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.buildLeafSearchArgument(OrcFilters.scala:235)
at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.convertibleFiltersHelper$1(OrcFilters.scala:134)
at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.$anonfun$convertibleFilters$4(OrcFilters.scala:137)
at scala.collection.TraversableLike.$anonfun$flatMap$1(TraversableLike.scala:245)
at scala.collection.immutable.List.foreach(List.scala:392)
at scala.collection.TraversableLike.flatMap(TraversableLike.scala:245)
at scala.collection.TraversableLike.flatMap$(TraversableLike.scala:242)
at scala.collection.immutable.List.flatMap(List.scala:355)
at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.convertibleFilters(OrcFilters.scala:136)
at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.createFilter(OrcFilters.scala:75)
at org.apache.spark.sql.execution.datasources.orc.OrcFileFormat.$anonfun$buildReaderWithPartitionValues$4(OrcFileFormat.scala:189)
at org.apache.spark.sql.execution.datasources.orc.OrcFileFormat.$anonfun$buildReaderWithPartitionValues$4$adapted(OrcFileFormat.scala:188)
at scala.Option.map(Option.scala:230)
at org.apache.spark.sql.execution.datasources.orc.OrcFileFormat.$anonfun$buildReaderWithPartitionValues$1(OrcFileFormat.scala:188)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:116)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:169)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:93)
at org.apache.spark.sql.execution.FileSourceScanExec$$anon$1.hasNext(DataSourceScanExec.scala:491)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.columnartorow_nextBatch_0$(Unknown Source)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:729)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:872)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:872)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:446)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:449)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
20/09/28 19:25:30 WARN scheduler.TaskSetManager: Lost task 0.0 in stage 61.0 (TID 133, 639773a482b8, executor driver): java.lang.ClassCastException: java.lang.String cannot be cast to java.l
ang.Number
at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.castLiteralValue(OrcFilters.scala:163)
at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.buildLeafSearchArgument(OrcFilters.scala:235)
at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.convertibleFiltersHelper$1(OrcFilters.scala:134)
at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.$anonfun$convertibleFilters$4(OrcFilters.scala:137)
at scala.collection.TraversableLike.$anonfun$flatMap$1(TraversableLike.scala:245)
at scala.collection.immutable.List.foreach(List.scala:392)
at scala.collection.TraversableLike.flatMap(TraversableLike.scala:245)
at scala.collection.TraversableLike.flatMap$(TraversableLike.scala:242)
at scala.collection.immutable.List.flatMap(List.scala:355)
at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.convertibleFilters(OrcFilters.scala:136)
at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.createFilter(OrcFilters.scala:75) [112/3679]
at org.apache.spark.sql.execution.datasources.orc.OrcFileFormat.$anonfun$buildReaderWithPartitionValues$4(OrcFileFormat.scala:189)
at org.apache.spark.sql.execution.datasources.orc.OrcFileFormat.$anonfun$buildReaderWithPartitionValues$4$adapted(OrcFileFormat.scala:188)
at scala.Option.map(Option.scala:230)
at org.apache.spark.sql.execution.datasources.orc.OrcFileFormat.$anonfun$buildReaderWithPartitionValues$1(OrcFileFormat.scala:188)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:116)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:169)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:93)
at org.apache.spark.sql.execution.FileSourceScanExec$$anon$1.hasNext(DataSourceScanExec.scala:491)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.columnartorow_nextBatch_0$(Unknown Source)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:729)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:872)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:872)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:446)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:449)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
20/09/28 19:25:30 ERROR scheduler.TaskSetManager: Task 0 in stage 61.0 failed 1 times; aborting job
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/opt/spark/current/python/pyspark/sql/dataframe.py", line 440, in show
print(self._jdf.showString(n, 20, vertical))
File "/opt/spark/current/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py", line 1304, in __call__
File "/opt/spark/current/python/pyspark/sql/utils.py", line 128, in deco
return f(*a, **kw)
File "/opt/spark/current/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py", line 326, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o122.showString.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 61.0 failed 1 times, most recent failure: Lost task 0.0 in stage 61.0 (TID 133, 639773a482b8, executor dr
iver): java.lang.ClassCastException: java.lang.String cannot be cast to java.lang.Number
at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.castLiteralValue(OrcFilters.scala:163)
at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.buildLeafSearchArgument(OrcFilters.scala:235)
at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.convertibleFiltersHelper$1(OrcFilters.scala:134)
at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.$anonfun$convertibleFilters$4(OrcFilters.scala:137)
at scala.collection.TraversableLike.$anonfun$flatMap$1(TraversableLike.scala:245)
at scala.collection.immutable.List.foreach(List.scala:392)
at scala.collection.TraversableLike.flatMap(TraversableLike.scala:245)
at scala.collection.TraversableLike.flatMap$(TraversableLike.scala:242)
at scala.collection.immutable.List.flatMap(List.scala:355)
at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.convertibleFilters(OrcFilters.scala:136)
at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.createFilter(OrcFilters.scala:75)
at org.apache.spark.sql.execution.datasources.orc.OrcFileFormat.$anonfun$buildReaderWithPartitionValues$4(OrcFileFormat.scala:189)
at scala.Option.map(Option.scala:230) [59/3679]
at org.apache.spark.sql.execution.datasources.orc.OrcFileFormat.$anonfun$buildReaderWithPartitionValues$1(OrcFileFormat.scala:188)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:116)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:169)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:93)
at org.apache.spark.sql.execution.FileSourceScanExec$$anon$1.hasNext(DataSourceScanExec.scala:491)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.columnartorow_nextBatch_0$(Unknown Source)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:729)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:872)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:872)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:446)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:449)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2059)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2008)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2007)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2007)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:973)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:973)
at scala.Option.foreach(Option.scala:407)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:973)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2239)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2188)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2177)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:775)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2099)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2120)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2139)
at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:467)
at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:420)
at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:47)
at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3627)
at org.apache.spark.sql.Dataset.$anonfun$head$1(Dataset.scala:2697)
at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3618)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:100)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:160) [7/3679]
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:87)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:764)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3616)
at org.apache.spark.sql.Dataset.head(Dataset.scala:2697)
at org.apache.spark.sql.Dataset.take(Dataset.scala:2904)
at org.apache.spark.sql.Dataset.getRows(Dataset.scala:300)
at org.apache.spark.sql.Dataset.showString(Dataset.scala:337)
at sun.reflect.GeneratedMethodAccessor64.invoke(Unknown Source)
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)
Caused by: java.lang.ClassCastException: java.lang.String cannot be cast to java.lang.Number
at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.castLiteralValue(OrcFilters.scala:163)
at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.buildLeafSearchArgument(OrcFilters.scala:235)
at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.convertibleFiltersHelper$1(OrcFilters.scala:134)
at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.$anonfun$convertibleFilters$4(OrcFilters.scala:137)
at scala.collection.TraversableLike.$anonfun$flatMap$1(TraversableLike.scala:245)
at scala.collection.immutable.List.foreach(List.scala:392)
at scala.collection.TraversableLike.flatMap(TraversableLike.scala:245)
at scala.collection.TraversableLike.flatMap$(TraversableLike.scala:242)
at scala.collection.immutable.List.flatMap(List.scala:355)
at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.convertibleFilters(OrcFilters.scala:136)
at org.apache.spark.sql.execution.datasources.orc.OrcFilters$.createFilter(OrcFilters.scala:75)
at org.apache.spark.sql.execution.datasources.orc.OrcFileFormat.$anonfun$buildReaderWithPartitionValues$4(OrcFileFormat.scala:189)
at org.apache.spark.sql.execution.datasources.orc.OrcFileFormat.$anonfun$buildReaderWithPartitionValues$4$adapted(OrcFileFormat.scala:188)
at scala.Option.map(Option.scala:230)
at org.apache.spark.sql.execution.datasources.orc.OrcFileFormat.$anonfun$buildReaderWithPartitionValues$1(OrcFileFormat.scala:188)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:116)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:169)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:93)
at org.apache.spark.sql.execution.FileSourceScanExec$$anon$1.hasNext(DataSourceScanExec.scala:491)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.columnartorow_nextBatch_0$(Unknown Source)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:729)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:872)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:872)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:446)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:449)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
... 1 more
但是,下面的这个查询有效!
spark.sql("SELECT * FROM mydb.raw_sales WHERE ano = 2000").show()
这也有效!
spark.sql("SELECT combustivel FROM mydb.raw_sales WHERE combustivel like '%GASOLINA C%' ").show()
我的环境
最佳答案
我已将“ano”字段类型的数据更改为“int”。这不是一个理想的解决方案,因为即使使用“cast”也不足以解决这个问题!我有一个好 friend 是 Spark 上的怪物,他说这可能是 Spark 上的一个错误。我不确定,但如果可能的话,我希望其他人能证实这个问题!
无论如何,将数据类型更改为“int”有效!
关于sql - 当我尝试执行简单查询时,Spark 3 失败,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/64110635/
说真的,你怎么能在不发疯的情况下处理所有这些异常呢?我是不是读了太多关于异常处理的文章或什么?我尝试重构了几次,但每次似乎都以更糟糕的结果告终。也许我应该承认确实会发生异常(exception)情况,
背景 两者 try/rescue和 try/catch是 Elixir 中的错误处理技术。根据 corresponding chapter在介绍指南中。 Errors can be rescued u
每当我尝试在 Raspberry PI 上运行此 python 脚本时,我都会遇到问题: import socket import sys # Create a TCP/IP socket sock
我想知道一些关于 PHP 的 try , catch声明。 让我们考虑以下示例。 abstract class ExceptionA extends Exception {} class Except
我的 laravel v5.4 项目中有两个模型,user 和 admin。 在 config/auth.php 中,我向守卫和提供者添加了管理员,如下所示: 'guards' => [ 'w
try: r = requests.get(url, params={'s': thing}) except requests.ConnectionError, e: print e
我有以下代码。 但是,它并不能捕获所有错误,而我仍然会收到“throw er;//未处理的'错误'事件”。 为什么是这样? app.post('/api/properties/zip/:zip/bed
问题与细节 我正在使用自定义错误处理,遇到的错误之一是“路径中的非法字符”。我有一个自定义函数,旨在通过路径字符串查找此类非法字符,并在找到它们时引发自定义错误。但是我发现,取决于非法字符,Test-
This question already has answers here: How do I catch a numpy warning like it's an exception (not j
我正在使用其他人的代码,但我不熟悉try/catch,因此我举了一个类似的小例子。在第11行上,如果我写了error(''),似乎没有发现错误并增加了索引j。但是,编写error(' ')或error
我在我的一个程序中遇到了这个问题,在这种情况下,尝试/异常(exception)的错误使程序变得更好,以防用户意外输入了他们不应该输入的内容。它仍然给我错误,我为为什么感到困惑。如果对我的问题确实很重
我在尝试TRY ... CATCH块时遇到问题。有人可以解释为什么以下代码无法执行我的sp吗? DECLARE @Result int SET @Result = 0 BEGIN TRY SE
我有一个相当大的 powershell 脚本,其中包含许多(20 多个)执行各种操作的函数。 现在所有代码实际上都没有任何错误处理或重试功能。如果某个特定的任务/功能失败,它就会失败并继续。 我想改进
为什么我尝试时需要导入 inputmismatchException catch(InputMismatchException e){ System.out.println("
我对此感到困惑 - 我为辅助方法编写了一个 try/catch 。它的目的是捕获任何无效输入(任何不是“男性”或“女性”的内容(没有特定情况)。如果输入无效,它将通知用户,然后让他们重试。如果有效,则
我有时会发现自己处于如下场景。尽可能简单地陈述问题 “有时我会创建一段代码,Java 让我将其包含在 try/catch 语句中。我没有使用 catch,所以我将其留空。为什么这是错误的?” boo
我有点困惑为什么当我不使用 Try block 时会出现 Try block 错误。 我在代码块底部附近收到错误通知。如果我不使用 try/catch,有人可以向我解释为什么会发生这种情况吗? 它是否
我已经盯着我的电脑两个小时了,我不知道我做错了什么。谁能帮助我看到光明? package blackjack; import java.util.Random; import java.util.Sc
我想将方法保存在 Enum 中,但 Class.getDeclaredMethod 抛出 NoSuchMethodException,那么我该如何处理呢?我的代码: public enum Car
这个问题已经有答案了: Executing multi-line statements in the one-line command-line (18 个回答) 已关闭 3 年前。 如何使用try.
我是一名优秀的程序员,十分优秀!