I have error in opencart
Notice: unserialize(): Error at offset 3348 of 14577 bytes in ..\project\library\DbSettingsHelper.php on line 154
can anyone tell what is the reason?
Related
Notice: Undefined property: Proxy::getGeneralSetting in /home/xxxx/public_html/xxxx/beta/system/engine/action.php on line 79
after updating opencart i ma getting this error in account section . kindly help
Here is my issue :
I download some netCDF4 files from an FTP server, in two different ways: via FileZilla and via a Python 2.7 script using ftplib.
Code of Python script (running on Windows) :
# download the file
try:
ftp = FTP(server_address)
ftp.login(server_login, server_pass)
filepath = 'the_remote_rep/myNetCDF4File.nc'
filename = 'myNetCDF4File.nc'
local_dir = 'toto'
new_file = open('%s/%s' % (local_dir, filename), "w")
ftp.retrbinary('RETR %s' % filepath, new_file.write)
ftp.close()
new_file.close()
except Exception as e:
print("Error FTP : '" + str(e) + "'")
# update title into the file
try:
fname = 'toto/myNetCDF4File.nc'
dataset = netCDF4.Dataset(fname, mode='a')
setattr(dataset, 'title', 'In Situ Observation Re-Analysis')
dataset.close()
except Exception as e:
print("Error netCDF4 : '" + str(e) + "'")
Then, I get this message :
Error netCDF4 : '[Errno 22] Invalid argument: 'toto/myNetCDF4File.nc''
When I try the second block of code with a netCDF4 file downloaded via FileZilla (the same file for example), there is no error.
Also, when I try to get the netCDF version of the file using "ncdump -k", here is the response (OK with the other file) :
ncdump: myNetCDF4File.nc: Invalid argument
In addition, files do not have the same size depending on the method :
FileZilla : 22 972 Ko
Python ftplib : 23 005 Ko
Is it a problem from ftplib when writing the retrieved file? Or did I miss some parameters to correctly encode the file?
Thanks in advance.
EDIT : verbose messages from FileZilla :
...
Response: 230 Login successful.
Trace: CFtpLogonOpData::ParseResponse() in state 5
Trace: CControlSocket::SendNextCommand()
Trace: CFtpLogonOpData::Send() in state 9
Command: OPTS UTF8 ON
Trace: CFtpControlSocket::OnReceive()
Response: 200 Always in UTF8 mode.
Trace: CFtpLogonOpData::ParseResponse() in state 9
Status: Logged in
Trace: Measured latency of 114 ms
Trace: CFtpControlSocket::ResetOperation(0)
Trace: CControlSocket::ResetOperation(0)
Trace: CFtpLogonOpData::Reset(0) in state 14
Trace: CFtpControlSocket::FileTransfer()
Trace: CControlSocket::SendNextCommand()
Trace: CFtpFileTransferOpData::Send() in state 0
Status: Starting download of /INSITU_OBSERVATIONS/myNetCDF4File.nc
Trace: CFtpChangeDirOpData::Send() in state 0
Trace: CFtpControlSocket::ResetOperation(0)
Trace: CControlSocket::ResetOperation(0)
Trace: CFtpChangeDirOpData::Reset(0) in state 0
Trace: CFtpFileTransferOpData::SubcommandResult(0) in state 1
Trace: CControlSocket::SendNextCommand()
Trace: CFtpFileTransferOpData::Send() in state 5
Trace: CFtpRawTransferOpData::Send() in state 2
Command: PASV
Trace: CFtpControlSocket::OnReceive()
Response: 227 Entering Passive Mode (193,68,190,45,179,16).
Trace: CFtpRawTransferOpData::ParseResponse() in state 2
Trace: CControlSocket::SendNextCommand()
Trace: CFtpRawTransferOpData::Send() in state 4
Trace: Binding data connection source IP to control connection source IP 134.xx.xx.xx
Command: RETR myNetCDF4File.nc
Trace: CTransferSocket::OnConnect
Trace: CFtpControlSocket::OnReceive()
Response: 150 Opening BINARY mode data connection for myNetCDF4File.nc (9411620 bytes).
Trace: CFtpRawTransferOpData::ParseResponse() in state 4
Trace: CControlSocket::SendNextCommand()
Trace: CFtpRawTransferOpData::Send() in state 5
Trace: CTransferSocket::TransferEnd(1)
Trace: CFtpControlSocket::TransferEnd()
Trace: CFtpControlSocket::OnReceive()
Response: 226 Transfer complete.
Trace: CFtpRawTransferOpData::ParseResponse() in state 7
Trace: CFtpControlSocket::ResetOperation(0)
Trace: CControlSocket::ResetOperation(0)
Trace: CFtpRawTransferOpData::Reset(0) in state 7
Trace: CFtpFileTransferOpData::SubcommandResult(0) in state 7
Trace: CFtpControlSocket::ResetOperation(0)
Trace: CControlSocket::ResetOperation(0)
Trace: CFtpFileTransferOpData::Reset(0) in state 7
Status: File transfer successful, transferred 9 411 620 bytes in 89 seconds
Status: Disconnected from server
Trace: CFtpControlSocket::ResetOperation(66)
Trace: CControlSocket::ResetOperation(66)
In fact, this is a problem of binary configuration (thanks to your questions).
I added ftp.voidcmd('TYPE I') before retrieving file with ftplib, then I modified writing parameter of local file as new_file = open('%s/%s' % (local_ftp_path, filename), "wb") to specify that's a binary file.
Now the file is readable after download via ftplib and has same size as downloaded from FileZilla.
Thanks to your contribution.
When finishing the request in Opencart I get the following error.
Parse error: syntax error, unexpected '}' vqmod/vqcache/vq2-catalog model_checkout_order.php on line 618
Could someone please help me?
I have a RDD object(bid) that get from map, and then I just do a simple bid.count(). Then I received the following error. Can someone tell me what this error might be? I try to google what it means but got no answer.
---------------------------------------------------------------------------
Py4JJavaError Traceback (most recent call last)
<ipython-input-10-0283df3b1938> in <module>()
----> 1 bid.count()
/home/username/spark-1.0.0-bin-hadoop2/python/pyspark/rdd.pyc in count(self)
706 3
707 """
--> 708 return self.mapPartitions(lambda i: [sum(1 for _ in i)]).sum()
709
710 def stats(self):
/home/username/spark-1.0.0-bin-hadoop2/python/pyspark/rdd.pyc in sum(self)
697 6.0
698 """
--> 699 return self.mapPartitions(lambda x: [sum(x)]).reduce(operator.add)
700
701 def count(self):
/home/username/spark-1.0.0-bin-hadoop2/python/pyspark/rdd.pyc in reduce(self, f)
617 if acc is not None:
618 yield acc
--> 619 vals = self.mapPartitions(func).collect()
620 return reduce(f, vals)
621
/home/username/spark-1.0.0-bin-hadoop2/python/pyspark/rdd.pyc in collect(self)
581 """
582 with _JavaStackTrace(self.context) as st:
--> 583 bytesInJava = self._jrdd.collect().iterator()
584 return list(self._collect_iterator_through_file(bytesInJava))
585
/home/username/spark-1.0.0-bin-hadoop2/python/lib/py4j-0.8.1-src.zip/py4j/java_gateway.py in __call__(self, *args)
535 answer = self.gateway_client.send_command(command)
536 return_value = get_return_value(answer, self.gateway_client,
--> 537 self.target_id, self.name)
538
539 for temp_arg in temp_args:
/home/username/spark-1.0.0-bin-hadoop2/python/lib/py4j-0.8.1-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 o148.collect.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 1.0:9 failed 4 times, most recent failure: TID 7 on host 08.bm-hadoope-datanode.dev.lax1 failed for unknown reason
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1033)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1017)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1015)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1015)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:633)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:633)
at scala.Option.foreach(Option.scala:236)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:633)
at org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1207)
at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
at akka.actor.ActorCell.invoke(ActorCell.scala:456)
at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
at akka.dispatch.Mailbox.run(Mailbox.scala:219)
at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386)
at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
And then I join the bid table with another table, then get a new RDD. It seems going smooth, but when I do first() for this new RDD. I received the following error:
Py4JJavaError: An error occurred while calling o274.collectPartitions.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 9.0:6 failed 4 times, most recent failure: Exception failure in TID 32 on host 05.bm-hadoope-datanode.dev.lax1: java.io.IOException: Filesystem closed
org.apache.hadoop.hdfs.DFSClient.checkOpen(DFSClient.java:629)
org.apache.hadoop.hdfs.DFSInputStream.readWithStrategy(DFSInputStream.java:735)
org.apache.hadoop.hdfs.DFSInputStream.read(DFSInputStream.java:793)
java.io.DataInputStream.readFully(DataInputStream.java:195)
java.io.DataInputStream.readFully(DataInputStream.java:169)
parquet.hadoop.ParquetFileReader$ConsecutiveChunkList.readAll(ParquetFileReader.java:599)
parquet.hadoop.ParquetFileReader.readNextRowGroup(ParquetFileReader.java:360)
parquet.hadoop.InternalParquetRecordReader.checkRead(InternalParquetRecordReader.java:100)
parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:172)
parquet.hadoop.ParquetRecordReader.nextKeyValue(ParquetRecordReader.java:130)
org.apache.spark.rdd.NewHadoopRDD$$anon$1.hasNext(NewHadoopRDD.scala:122)
org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
org.apache.spark.api.python.PythonRDD$.writeIteratorToStream(PythonRDD.scala:293)
org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply$mcV$sp(PythonRDD.scala:200)
org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:175)
org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:175)
org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1160)
org.apache.spark.api.python.PythonRDD$WriterThread.run(PythonRDD.scala:174)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1033)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1017)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1015)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1015)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:633)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:633)
at scala.Option.foreach(Option.scala:236)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:633)
at org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1207)
at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
at akka.actor.ActorCell.invoke(ActorCell.scala:456)
at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
at akka.dispatch.Mailbox.run(Mailbox.scala:219)
at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386)
at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
Let's assume that my file is named 'data' and looks like this:
2343234 {23.8375,-2.339921102} {(343.34333,-2.0000022)} 5-23-2013-11-am
I need to convert the 2nd field to a pair of coordinate numbers. So I wrote the follwoing code and called it basic.pig:
A = LOAD 'data' AS (f1:int, f2:chararray, f3:chararray. f4:chararray);
B = foreach A generate STRSPLIT(f2,',').$0 as f5, STRSPLIT(f2,',').$1 as f6;
C = foreach B generate REPLACE(f5,'{',' ') as f7, REPLACE(f6,'}',' ') as f8;
and then used (float) to convert the string to a float. But, the command 'REPLACE' fails to work and I get the following error:
-bash-3.2$ pig -x local basic.pig
2013-06-24 16:38:45,030 [main] INFO org.apache.pig.Main - Apache Pig version 0.11.1 (r1459641) compiled
Mar 22 2013, 02:13:53 2013-06-24 16:38:45,031 [main] INFO org.apache.pig.Main - Logging error messages to: /home/--/p/--test/pig_1372117125028.log
2013-06-24 16:38:45,321 [main] INFO org.apache.pig.impl.util.Utils - Default bootup file /home/isl/pmahboubi/.pigbootup not found
2013-06-24 16:38:45,425 [main] INFO org.apache.pig.backend.hadoop.executionengine.HExecutionEngine - Connecting to hadoop file system at: file:///
2013-06-24 16:38:46,069 [main] ERROR org.apache.pig.tools.grunt.Grunt - ERROR 1000: Error during parsing. Lexical error at line 7, column 0. Encountered: <EOF> after : ""
Details at logfile: /home/--/p/--test/pig_1372117125028.log
And this is the details of the pig_137..log
Pig Stack Trace
---------------
ERROR 1000: Error during parsing. Lexical error at line 7, column 0. Encountered: <EOF> after : ""
org.apache.pig.tools.pigscript.parser.TokenMgrError: Lexical error at line 7, column 0. Encountered: <EOF> after : ""
at org.apache.pig.tools.pigscript.parser.PigScriptParserTokenManager.getNextToken(PigScriptParserTokenManager.java:3266)
at org.apache.pig.tools.pigscript.parser.PigScriptParser.jj_ntk(PigScriptParser.java:1134)
at org.apache.pig.tools.pigscript.parser.PigScriptParser.parse(PigScriptParser.java:104)
at org.apache.pig.tools.grunt.GruntParser.parseStopOnError(GruntParser.java:194)
at org.apache.pig.tools.grunt.GruntParser.parseStopOnError(GruntParser.java:170)
at org.apache.pig.tools.grunt.Grunt.exec(Grunt.java:84)
at org.apache.pig.Main.run(Main.java:604)
at org.apache.pig.Main.main(Main.java:157)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
at java.lang.reflect.Method.invoke(Method.java:597)
at org.apache.hadoop.util.RunJar.main(RunJar.java:197)
================================================================================
I've got data like this:
2724 1919 2012-11-18T23:57:56.000Z {(33.80981975),(-118.105289)}
2703 6401 2012-11-18T23:57:56.000Z {(55.83525609),(-4.07733138)}
1200 4015 2012-11-18T23:57:56.000Z {(41.49609152),(13.8411998)}
7104 9227 2012-11-18T23:57:56.000Z {(-24.95351118),(-53.46538723)}
and I can do this:
A = LOAD 'my_tsv_data' USING PigStorage('\t') AS (id1:int, id2:int, date:chararray, loc:chararray);
B = FOREACH A GENERATE REPLACE(loc,'\\{|\\}|\\(|\\)','');
C = LIMIT B 10;
DUMP C;
This error
ERROR 1000: Error during parsing. Lexical error at line 7, column 0. Encountered: <EOF> after : ""
came to me because I had used different types of quotation marks. I started with ' and ended with ´ or `, and it took quite a while to find what went wrong. So it had nothing to do with line 7 (my script was not so long, and I shortened data to four lines which naturally did not help), nothing to do with column 0, nothing to do with EOF of data, and hardly anything to do with " marks which I didn't use. So quite misleading error message.
I found the cause by using grunt - pig command shell.