我真的不知道为什么Pos会继续返回0而不是char&#34 ;;"字符串中的位置
我必须得到一个php页面的响应,它输出Content-Type:text / plain
所以输出的一个例子就是
2;fulano;fulano;0
3;ciclano;ciclano;0
4;beltrano;beltrano;0
5;foo;foo;0
8;jose;jose;0
9;maria;maria;0
,代码是
var
linha,uid,login,senha,email,tipo : WideString;
resposta : TStringList;
I : Integer;
begin
try
resposta := TStringList.Create;
resposta.Text := frmMain.IdHTTP1.Get(frmMain.cdsConfig.FieldByName('WebService').AsString+'listdest.php');
for I := 0 to resposta.Count-1 do
begin
linha := resposta.Strings[i];
if i = 0 then
Delete(linha,1,1); // the first line have one wierd $FEFF
if length(linha) > 5 then
begin
uid := Copy(linha,1,Pos(linha,';')-1);
Delete(linha,1,Pos(linha,';'));
login:=Copy(linha,1,Pos(linha,';')-1);
Delete(linha,1,Pos(linha,';'));
senha:=Copy(linha,1,Pos(linha,';')-1);
Delete(linha,1,Pos(linha,';'));
email:=Copy(linha,1,Pos(linha,';')-1);
Delete(linha,1,Pos(linha,';'));
tipo:=Copy(linha,1,Pos(linha,';')-1);
Delete(linha,1,Pos(linha,';'));
end;
end;
//dlgWait.Close;
except on E :Exception do
begin
MessageBox(Self.Handle,PWideChar(E.Message),'Erro',MB_OK+MB_ICONERROR+MB_APPLMODAL);
dlgWait.Close;
FreeAndNil(resposta);
end;
end;
答案 0 :(得分:5)
您对---------------------------------------------------------------------------
Py4JJavaError Traceback (most recent call last)
/usr/local/python/pyspark/sql/utils.py in deco(*a, **kw)
62 try:
---> 63 return f(*a, **kw)
64 except py4j.protocol.Py4JJavaError as e:
/usr/local/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name)
318 "An error occurred while calling {0}{1}{2}.\n".
--> 319 format(target_id, ".", name), value)
320 else:
Py4JJavaError: An error occurred while calling o864.collectToPython.
: org.apache.spark.sql.AnalysisException: Attribute name "Foo Bar" contains invalid character(s) among " ,;{}()\n\t=". Please use alias to rename it.;
at org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter$.checkConversionRequirement(ParquetSchemaConverter.scala:581)
at org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter$.checkFieldName(ParquetSchemaConverter.scala:567)
at org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter$$anonfun$checkFieldNames$1.apply(ParquetSchemaConverter.scala:575)
at org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter$$anonfun$checkFieldNames$1.apply(ParquetSchemaConverter.scala:575)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
at org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter$.checkFieldNames(ParquetSchemaConverter.scala:575)
at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat.buildReaderWithPartitionValues(ParquetFileFormat.scala:293)
at org.apache.spark.sql.execution.FileSourceScanExec.inputRDD$lzycompute(DataSourceScanExec.scala:285)
at org.apache.spark.sql.execution.FileSourceScanExec.inputRDD(DataSourceScanExec.scala:283)
at org.apache.spark.sql.execution.FileSourceScanExec.inputRDDs(DataSourceScanExec.scala:303)
at org.apache.spark.sql.execution.ProjectExec.inputRDDs(basicPhysicalOperators.scala:42)
at org.apache.spark.sql.execution.WholeStageCodegenExec.doExecute(WholeStageCodegenExec.scala:386)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:117)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:117)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:138)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:135)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:116)
at org.apache.spark.sql.execution.SparkPlan.getByteArrayRdd(SparkPlan.scala:228)
at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:311)
at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:38)
at org.apache.spark.sql.Dataset$$anonfun$collectToPython$1.apply$mcI$sp(Dataset.scala:2803)
at org.apache.spark.sql.Dataset$$anonfun$collectToPython$1.apply(Dataset.scala:2800)
at org.apache.spark.sql.Dataset$$anonfun$collectToPython$1.apply(Dataset.scala:2800)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:65)
at org.apache.spark.sql.Dataset.withNewExecutionId(Dataset.scala:2823)
at org.apache.spark.sql.Dataset.collectToPython(Dataset.scala:2800)
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:280)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:214)
at java.lang.Thread.run(Thread.java:748)
During handling of the above exception, another exception occurred:
AnalysisException Traceback (most recent call last)
<ipython-input-37-9d7c55a5465c> in <module>()
----> 1 spark.sql("SELECT `Foo Bar` as hey FROM df limit 10").take(1)
/usr/local/python/pyspark/sql/dataframe.py in take(self, num)
474 [Row(age=2, name=u'Alice'), Row(age=5, name=u'Bob')]
475 """
--> 476 return self.limit(num).collect()
477
478 @since(1.3)
/usr/local/python/pyspark/sql/dataframe.py in collect(self)
436 """
437 with SCCallSiteSync(self._sc) as css:
--> 438 port = self._jdf.collectToPython()
439 return list(_load_from_socket(port, BatchedSerializer(PickleSerializer())))
440
/usr/local/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py in __call__(self, *args)
1131 answer = self.gateway_client.send_command(command)
1132 return_value = get_return_value(
-> 1133 answer, self.gateway_client, self.target_id, self.name)
1134
1135 for temp_arg in temp_args:
/usr/local/python/pyspark/sql/utils.py in deco(*a, **kw)
67 e.java_exception.getStackTrace()))
68 if s.startswith('org.apache.spark.sql.AnalysisException: '):
---> 69 raise AnalysisException(s.split(': ', 1)[1], stackTrace)
70 if s.startswith('org.apache.spark.sql.catalyst.analysis'):
71 raise AnalysisException(s.split(': ', 1)[1], stackTrace)
AnalysisException: 'Attribute name "Foo Bar" contains invalid character(s) among " ,;{}()\\n\\t=". Please use alias to rename it.;'
的来电是倒退的。参数是:
Pos
但是你的代码假定它们是:
function Pos(const SubStr, Str: _ShortStr; Offset: Integer): Integer;
所以它实际上要做的是在function Pos(const Str, SubStr: _ShortStr; Offset: Integer): Integer;
内寻找linha
的价值,当然除非';'
= linha
,否则返回';'
。
另一种表达方式,正如鲁迪所说,而不是在大海捞针中寻找针头,你的代码正在寻找针头中的大海捞针。
将第一个和第二个参数切换到这些调用。
另一方面,只是性能提示。不要为每个调用0
两次,而是保留值的缓存副本...
Pos