CommonCrawl | distributed system for mining common crawl using SQS | Function As A Service library
kandi X-RAY | CommonCrawl Summary
kandi X-RAY | CommonCrawl Summary
You can view a quick demo and documentation [on ipython notebook viewer] .
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Top functions reviewed by kandi - BETA
- Process messages from queue
- Process a file object into a dictionary
- Store data in S3
CommonCrawl Key Features
CommonCrawl Examples and Code Snippets
Community Discussions
Trending Discussions on CommonCrawl
QUESTION
I'm new to Json and Python. I get results from website as
...ANSWER
Answered 2021-Jun-03 at 15:07Most of your code is not needed, it can be reduced to this:
QUESTION
I can obtain listing for Common Crawl by:
https://commoncrawl.s3.amazonaws.com/crawl-data/CC-MAIN-2017-09/wet.paths.gz
How can I do this with Common Crawl News Dataset ?
I tried different options, but always getting errors:
https://commoncrawl.s3.amazonaws.com/crawl-data/CC-NEWS-2017-09/warc.paths.gz
https://commoncrawl.s3.amazonaws.com/crawl-data/CC-NEWS/2017/09/warc.paths.gz
...ANSWER
Answered 2021-Mar-21 at 15:34Since every few hours a new WARC file is added to the news dataset, a static file list does not make sense. Instead you can get a list of files using the AWS CLI - for any subset by year or month, e.g.
QUESTION
I currently parsing WARC files from CommonCrawl corpus and I would like to know upfront, without iterating through all WARC records, how many records are there.
Does WARC 1.1 standard defines such information?
...ANSWER
Answered 2021-Jan-24 at 12:59The WARC standard does not define a standard way to indicate the number of WARC records in the WARC file itself. The number of response records in Common Crawl WARC files is usually between 30,000 and 50,000 - note that there are also request and metadata records. The WARC standard recommends 1 GB as target size of WARC files which puts a natural limit to the number of records.
QUESTION
Hi I'm working on a project for fun with the common crawl data I have a subset of the most current crawls warc file paths from here
so basically I have a url like https://commoncrawl.s3.amazonaws.com/crawl-data/CC-MAIN-2020-45/segments/1603107863364.0/warc/CC-MAIN-20201019145901-20201019175901-00000.warc.gz (the first url in the warc paths) and I am streaming in the request like so:
...ANSWER
Answered 2020-Dec-01 at 08:02Why not use a WARC parser library (I'd recommend warcio) to do the parsing including gzip decompression?
Alternatively, have a look at gzipstream to read from a stream of gzipped content and decompress the data on the fly.
QUESTION
I am downloading common crawl files from AWS. Apparently, they are large concatenated .gz files, which is supported by the gzip standard. I am using zlib to deflate but I only get the decompressed contents of the file up to the first concatenation. I have tried adding inflateReset() but then I get error -5, which indicates a buffer or file problem. I suspect I am close.
here's the code without inflateReset. It works fine on non-concatenated files.
...ANSWER
Answered 2020-Sep-23 at 23:15Does your compiler not at least warn you about the naked conditional ret == Z_STREAM_END;
? You want an if
there and some braces around the inflateReset()
related statements.
There's still a problem in that you are leaving the outer loop if strm.avail_in
is zero. That will happen every time, except when reaching the end of member. It can even happen then if you just so happen to exhaust the input buffer to decompress that member. Just make the outer loop a while (true)
.
Even after fixing all that, you would then discard the remaining available input when you do the read at the top of the outer loop. Only do that read if strm.avail_in
is zero.
A simpler approach would be to do the reset in the inner loop. Like this (example in C):
QUESTION
i am using newsplease library that i have cloned from https://github.com/fhamborg/news-please. i want to use newsplease to get news artices from commoncrawl news datasets. i am running commoncrawl.py file as instruct here. i have used the command below -
...ANSWER
Answered 2020-Jul-16 at 07:54this error is because of the libraries being used by the newsplease. mistake is made when we manually install every library, while installing focus on the versions of packages. version info of every library is given in setup.py file. install exact version given in setup.py file. now there may be problems while executing the setup.py.
so use this command -
QUESTION
I have followed Microsoft's recommended way to unzip a .gz file :
https://docs.microsoft.com/en-us/dotnet/api/system.io.compression.gzipstream?view=netcore-3.1
I am trying to download and parse files from the CommonCrawl. I can successfully download them, and unzip them with 7-zip
However, in c# I get:
...System.IO.InvalidDataException: 'The archive entry was compressed using an unsupported compression method.'
ANSWER
Answered 2020-Apr-27 at 10:57I am not sure what the issue is but after reading this post
Decompressing using GZipStream returns only the first line
I changed to SharZipLib (http://www.icsharpcode.net/opensource/sharpziplib/) and it worked
QUESTION
We are using the Java Wrapper implementation of Compact Language Detector 2.
Is the detect() function thread-safe?
From what I understand, it invokes this library function.
...ANSWER
Answered 2020-Apr-18 at 00:20No, it is not thread safe if the native code was compiled with CLD2_DYNAMIC_MODE
set, which you could test using the function isDataDynamic()
.
The native function manipulates the static class variable kScoringtables
. If CLD2_DYNAMIC_MODE
is defined at compilation, this variable is initialized to a set of null tables (NULL_TABLES
) and can later be loaded with dynamic data, or unloaded, potentially by other threads.
It would be possible for the kScoringtables.quadgram_obj
to be non-null at the line 1762 null check and then the kScoringtables
address altered before it is added to the cross-thread ScoringContext
object on line 1777. In this case, the wrong pointer would be passed to ApplyHints
on line 1785, potentially causing bad things to happen at line 1606.
This would be a very rare race condition, but possible nonetheless, and is not thread safe for the same reason the standard "lazy getter" is not thread safe.
To make this thread-safe, you would have to either test that isDataDynamic()
returns false, or ensure the loadDataFromFile
, loadDataFromRawAddress
, and unloadData
functions could not be called by a different thread while you are executing this method (or at least until you are past line 1777...)
QUESTION
To compare performance of Spark when using Python and Scala I created the same job in both languages and compared the runtime. I expected both jobs to take roughly the same amount of time, but Python job took only 27min
, while Scala job took 37min
(almost 40% longer!). I implemented the same job in Java as well and it took 37minutes
too. How is this possible that Python is so much faster?
Minimal verifiable example:
Python job:
...ANSWER
Answered 2020-Feb-24 at 11:53The Scala job takes longer because it has a misconfiguration and, therefore, the Python and Scala jobs had been provided with unequal resources.
There are two mistakes in the code:
QUESTION
Objects like the below can be parsed quite easily using the encoding/json
package.
ANSWER
Answered 2018-May-15 at 12:26Seems like each line is its own json object.
You may get away with the following code which will structure this output into correct json:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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You can use CommonCrawl like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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