CSV Parser | Node.js CSV projectCSV Parser
This package is a parser converting CSV text input into arrays or objects. It
implements the Node.js . It also
provides a simple callback-based API for convenience. It is both extremely easy
to use and powerful. It was first released in 2010 and is used against big data
sets by a large community.
Follow the Node.js streaming API
Simplicity with the optional callback API
Support delimiters, quotes, escape characters and comments
Line breaks discovery
Support big datasets
Complete test coverage and samples for inspiration
no external dependencies
to be used conjointly with csv-generate, stream-transform and csv-stringify
Run npm install csv to install the full CSV package or run
npm install csv-parse if you are only interested by the CSV parser.
Use the callback style API for simplicity or the stream based API for
scalability. You may also mix the two styles. For example, the
pipe a file stream reader and get the results
inside a callback.
Callback API
signature: parse(data, [options], callback)
signature: parse([options], [callback])
For additional usage and example, you may refer to
Parser options
delimiter (char)Set the field delimiter. One character only, defaults to comma.
rowDelimiter (chars|constant)String used to delimit record row special constants are
'auto', 'unix', 'mac', 'windows', 'unicode'; defaults to 'auto' (discovered
in source or 'unix' if no source is specified).
quote (char)Optionnal character surrounding a field, one character only, defaults to
double quotes.
escape (char)Set the escape character, one character only, defaults to double quotes.
columns (array|boolean|function)
List of fields as an array, a user defined callback accepting the first line
and returning the column names or true if autodiscovered in the first CSV
line, default to null, affect the result data set in the sense that records
will be objects instead of arrays.
comment (char)Treat all the characters after this one as a comment, default to '#'.
objname (string)Name of header-record title to name objects by.
relax (boolean)Preserve quotes inside unquoted field.
skip_empty_lines (boolean)Dont generate empty values for empty lines.
trim (boolean)If true, ignore whitespace immediately around the delimiter, defaults to
false. Does not remove whitespace in a quoted field.
ltrim (boolean)If true, ignore whitespace immediately following the delimiter (i.e.
left-trim all fields), defaults to false. Does not remove whitespace in a quoted field.
rtrim (boolean)If true, ignore whitespace immediately preceding the delimiter (i.e.
right-trim all fields), defaults to false.
Does not remove whitespace in a quoted field.
auto_parse (boolean)If true, the parser will attempt to convert read data types to native types.
All options are optional.
Internal properites
Those properties are for internal usage but may be considered usefull to the
final user in some situations. They are accessible from the intance returned by
the parse function.
count (number)Internal counter of records being processed.
lines (number)The number of lines encountered in the source dataset.
regexp_int (regexp)The regular expression used to determine if a value should be cast to an
regexp_float (regexp)The regular expression used to determine if a value should be cast to an
Most of the generator is imported from its parent project
effort to split it between the generator, the parser, the transformer and the
stringifier.
The &record& has disappeared, you are encouraged to use the &readable& event
conjointly with the &read& function as documented above and in the
(C) Adaltas 2014This website was last updated at Sat May 16 :58 GMT+0200 (CEST)求解，csvParser.dll出现错误_11eyes吧_百度贴吧
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保存至快速回贴
为兴趣而生，贴吧更懂你。&或【转载】logparser使用方法及常用操作命令
Logparser是一款非常强大的日志分析软件，可以帮助你详细的分析网站日志。是所有数据分析和网站优化人员都应该会的一个软件。是微软的一款软件完全免费的，大家可以在微软的官网上去下载，下载地址：
&&&下载后安装也非常简单，只要按照步骤去安装就可以了，虽然软件语言是英语但是都是比较容易的。
使用方法：
&&&&出现的是这个类似命令行的窗口，我们就是在这个窗口输入各种命令对日志进行分析。那我们怎么去运行呢？
最基本的格式：LogParser&&输入文件的格式&&输出格式&“语句”
&&&&我们输入一个最简单的例子，把一个IIS日志转化成一个cs格式的表格，那么我们应该怎么做呢？
C:\Program&Files\Log&Parser&2.2&
logparser -i:iisw3c
-o:csv&SELECT&*FROM&C:rizhi.log&&D:rizhi.scv
&&&这就是完成了最简单的转换，把盘中这个日志转换成格式并保存到盘。我们要注意的是，代表的是输入，代表的是日志格式，例子中分析的是日志，因此标准格式的。，代表的是输出，cs是输出文件的格式。SELECT*FROM这个是分析日志的命令语句，我们可以用不同的语句来分析日志。
注意：是区分大小写的，因此语句一定要用大写，不然会出错的。
明白了怎么去用，那么接下来给大家介绍一些我们经常用到的操作命令。
语句示例：
转成csV文件
logparser -i:w3c -o:csv "select * from D:\test\training.log"
&D:\test\training.csv
非参数字段
logparser -i:w3c -o:csv "select date into D:\test\date.csv from
D:\test\training.log"
logparser -i:w3c -o:csv "select date,cs-host,cs-uri-stem into
D:\test\date.csv from D:\test\*.log"
参数名=参数值&参数名=参数值
？wt.referrer
logparser -i:w3c -o:csv "select
extract_value(cs-uri-query.'wt.referrer')as refer into
D:\test\refer.csv from D:\test\*.log"
访客ID：wt.co_f
logparser -i:w3c -o:csv "select
extract_value(cs-uri-query,'WT.co_f')as vid into D:\test\id.csv
from D:\test\*.log"
session提取
WT_FPC=id=2e0a30……3874:lv=139060……:ss=……;
logparser -i:w3c -o:csv "select
extract_token(extract_token(cs(cookie),1,':ss='),0,';+') as session
into D:\test\session.csv from D:\test\*.log"
【】提取session方法2
logparser -i:w3c -o:csv "select
stract(extract_value(cs-uri-query,'WT.co_f'),extract_token(extract_token(cs(cookie),1,':ss='),0,';+')
as visit into D:\test\visit.csv from D:\test\*.log"
logparser -i:w3c "select count(distinct
extract_value(cs-uri-query,'WT.co_f')) as uv from
D:\test\*.log"
logparser -i:w3c -o:csv "select count(distinct
extract_value(cs-uri-query,'WT.co_f')) as uv from D:\test\*.log
where cs-uri-stem='/udbac/shopping.action'"
logparser -i:w3c -o:csv "select count(distinct
extract_value(cs-uri-query,'WT.co_f')) as uv from D:\test\*.log
where cs-uri-stem='/udbac/suc.action'"
提取visits
?logparser -i:w3c "select count(distinct
stract(extract_value(cs-uri-query,'WT.co_f'),extract_token（extract_token(cs(cookie),1,':ss='),0,';+')as
visits from D:\test\*.log"
?logparser -i:w3c -o:csv "select count(distinct
stract(extract_value(cs-uri-query,'WT.co_f'),extract_token（extract_token(cs(cookie),1,':ss='),0,';+')as
visits from D:\test\*.log where
cs-uri-stem='/udbac/shopping.action'"
logparser -i:w3c "select count(*)as pageview from
D:\test\*.log"
?logparser -i:w3c "select count(*)as pageview from D:\test\*.log
where cs-uri-stem='/udbac/shopping.action"
【】网址整体转化率
已投稿到：
以上网友发言只代表其个人观点，不代表新浪网的观点或立场。csv_parser 这是一个用C++写的读取csv文件的程序，能搞 四种分隔 式的 ，代码简洁高 File Operate 操作 238万源代码下载-
&文件名称: csv_parser
& & & & &&]
&&所属分类:
&&开发工具: C-C++
&&文件大小: 8 KB
&&上传时间:
&&下载次数: 209
&&提 供 者:
&详细说明：这是一个用C++写的读取csv文件的程序，能搞读取四种分隔符格式的csv文件，代码简洁高效。-This is csv parser coded with C++. It can read csv files with four different sparators with concise and efficient design.
文件列表(点击判断是否您需要的文件，如果是垃圾请在下面评价投诉):
&&csv_parser.cpp&&csv_parser.hpp&&main.cpp
&[]:差&[]:一般，勉强可用
&近期下载过的用户:
&&&&&&&&&&[]
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&输入关键字，在本站238万海量源码库中尽情搜索：
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&[] - 今天恰好做一个东西需要一个C++读取CSV文件的函数。
没有找到现成的函数，所以就自己写了一个。
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