Reading a string and remove chars

Hi,
I am new the java and I am having a problem with converting a string to an int. I have a data comming in to gbyte_in which is "1;1;1". I am then converting it to a string a spliting it up into three vars to hold each value. I am then converting the string to a int so I can use it. The problem comes when I try to convert the last value as I get a
numberformatexception, I think there must be some chars such as Enter or line feed at the end causing the problem. I have tried using the gstr_string.replace('\n',' ') but still having the problem.
I have put a basic example of what I am doing below, If someone could help a beginner with understanding what I am doing wrong I would be very greatful
Thanks
Joolz
** Start code**
byte[] gbyte_in;
private void CheckData_In()
int i;
/* make STRING of BYTE */
String lstr_temp = new String(gbyte_in);
/* take STRING a make an INT*/
i = Integer.parseInt(lstr_temp);
** End code **

Hi,
I have,
this is what comes in 1;2;3
I can convert 1 and 2 to an int but 3 throws the error, I am just doing a substring looking for the ";". So I think there must be some special chars at the end, but I cannot find a way of removing them before I convert it to an int.
Thanks
Joolz

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Once I took that String.length() method out of the 'for loop' and used integer length local variable, as you have in your code, the performance is very close between array of char and String charAt() approaches.
>
You are still worrying about something that is irrevelant in the greater scheme of things.
It doesn't matter how fast the CPU processing of the data is if it is faster than you can write the data to the sink. The process is:
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2. manipulate that data
3. write data to a sink (database, file, network)
The reading and writing of the data are going to be tens of thousands of times slower than any CPU you will be using. That read/write part of the process is the limiting factor of your throughput; not the CPU manipulation of step #2.
Step #2 can only go as fast as steps #1 and #3 permit.
Like I said above:
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The best 'file to database' performance you could hope to achieve would be loading simple, 'known to be clean', record of a file into ONE table column defined, perhaps, as VARCHAR2(1000); that is, with NO processing of the record at all to determine column boundaries.
That performance would be the standard you would measure all others against and would typically be in the hundreds of thousands or millions of records per minute.
What you would find is that you can perform one heck of a lot of processing on each record without slowing that 'read and load' process down at all.
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Regardless of the sink (DB, file, network) when you are designing data transport services you need to identify the 'slowest' parts. Those are the 'weak links' in the data chain. Once you have identified and tuned those parts the performance of any other step merely needs to be 'slightly' better to avoid becoming a bottleneck.
That CPU part for step #2 is only rarely, if every the problem. Don't even consider it for specialized tuning until you demonstrate that it is needed.
Besides, if your code is properly designed and modularized you should be able to 'plug n play' different parse and transform components after the framework is complete and in the performance test stage.
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The only thing that is fixed is that all input files are ASCII (not Unicode) characters in range of 'space' to '~' (decimal 32-126) or common control characters like CR,LF,etc.
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Then you could use byte arrays and byte processing to determine the record boundaries even if you then use String processing for the rest of the manipulation.
That is what my framework does. You define the character set of the file and a 'set' of allowable record delimiters as Strings in that character set. There can be multiple possible record delimiters and each one can be multi-character (e.g. you can use 'XyZ' if you want.
The delimiter set is converted to byte arrays and the file is read using RandomAccessFile and double-buffering and a multiple mark/reset functionality. The buffers are then searched for one of the delimiter byte arrays and the location of the delimiter is saved. The resulting byte array is then saved as a 'physical record'.
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So a record with an embedded delimiter will have few fields than required meaning it needs to be combined with one, or more of the following records.
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My files have no metadata, some are comma delimited and some comma and double quote delimited together, to protect the embedded commas inside columns.
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I didn't mean the files themselves needed to contain metadata. I just meant that YOU need to know what metadata to use. For example you need to know that there should ultimately be 10 fields for each record. The file itself may have fewer physical fields due to TRAILING NULLCOS whereby all consecutive NULL fields at the of a record do not need to be present.
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The number of columns in a file is variable and each line in any one file can have a different number of columns. Ragged columns.
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There may also be spaces between delimiters.
The files may be UNIX/Linux terminated or Windows Server terminated (CR/LF or CR or LF).
>
All of those are basic requirements and none of them present any real issue or problem.
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To make it even harder, there may be embedded LF characters inside the double quoted columns too, which need to be caught and weeded out.
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That only makes it 'harder' in the sense that virtually NONE of the standard software available for processing delimited files take that into account. There have been some attempts (you can find them on the net) for using various 'escaping' techniques to escape those characters where they occur but none of them ever caught on and I have never found any in widespread use.
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Some numeric columns will also need processing to handle currency signs and numeric formats that are not valid for the database inpu.
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Actually for 'validating' that a string of characters conforms (or not) to a particular format is an excellent application of regular expressions. Though, as you suggest, the actual parsing of a valid string to extract the data is not well-suited for RegEx. That is more appropriate for a custom format class that implements the proper business rules.
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I have no control over format of the incoming files, they are coming from all sorts of legacy systems, many from IBM mainframes or AS/400 series, for example. Others from Solaris and Windows.
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Not a problem. You just need to know what the format is so you can parse it properly.
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Some files will be small, some many GB in size.
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Not really relevant except as it relates to the need to SINK the data at some point. The larger the amount of SOURCE data the sooner you need to SINK it to make room for the rest.
Unfortunately, the very nature of delimited data with varying record lengths and possible embedded delimiters means that you can't really chunk the file to support parallel read operations effectively.
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My framework has been doing what you are proposing and has been in use for over 20 years by three different major nternational clients. I have never had any issues with the level of detail you have asked about in this thread.
Throughout is limited by the performance of the SOURCE and the SINK. The processing in-between has NEVER been an issu.
A modular framework allows you to fine-tune or even replace a component at any time with just 'plug n play'. That is what Interfaces are all about. Any code you write for a parser should be based on an interface contract. That allows you to write the initial code using the simplest possible method and then later if, and ONLY if, that particular module becomes a bottlenect, replace that module with one that is more performant.
Your intital code should ONLY use standard well-established constructs until there is a demonstrated need for something else. For your use case that means String processing, not byte arrays (except for detecting record boundaries).

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Solved!
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Reading a string and remove chars

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