Would you have any hints on what would be the best way to deal with files containing JSON entries and Hadoop?
There's a nice article on this from the Hadoop in Practice book:
http://java.dzone.com/articles/hadoop-practice
Twitter's elephant-bird library has a JsonStringToMap class which you can use with Pig.
Try this
You can also use JAQL. Its the easiest way to deal with JSON in Map Reduce. Bad thing is that you will have to learn JAQL (unless you know it already) !!
MongoDB is a good option when you are dealing with JSON. MongoDB and Hadoop are a powerful combination and can be used together to deliver complex analytics and data processing for data stored in MongoDB. http://www.mongodb.org/
Related
I'm asking about the reason for using YAML for package managing pubspec.yaml in Dart, why did they choose YAML, not JSON? what is the unique thing in YAML that makes it a favourite for this purpose instead of another?
In my opinion:
1. Readability
YAML is much better... Like Python
2. Commentary
In JSON you can't give comments
For flutter/Dart application maintenance, of course requires comments since the PUBSPEC file was created.
3. Speed
Indeed JSON files are smaller and faster, but for cross-platform developers, more emphasis on ease of reading and speed of production. Moreover, the development of mobile hardware is now very good.
4. Complexity
JSON structure is simpler, so it does not support complex configurations.
But, YAML... be aware that "white space" (tabs v spaces) matters.
What is the difference between YAML and JSON?
Most importantly support for comments & Better readability
The design goal of JSON is to be as simple as possible and be universally usable. This has reduced the readability of the data, to some extent. In contrast, the design goal of YAML is to provide a good human-readable format and provide support for serializing arbitrary native data structures.
Source: JSON vs. YAML: A Dive Into 2 Popular Data Serialization Languages
I'm working on a project that uses parallel methods to convert text from one form to another. We're going to implement a CSV to JSON converter to demonstrate the speedups that are possible using our parallel framework.
We want to benchmark our converter once it's finished. What are the fastest libraries/stand-alone programs/etc out there that are capable of doing CSV-JSON conversion? I found a list of potential candidates here:Large CSV to JSON/Object in Node.js, but I'm not sure how fast the listed options are. In the worst case I'll benchmark them myself, but if someone already knows what the "best in class" converters are it'd save me some time.
Looks like the maintainer of csvtojson has developed a benchmark application. I think I can add my csv to json converter to his benchmark project to test my converter.
if your project can consider in-browser apps, I suggest csvtojson as it is by far the speediest converter on the market as of 2017.
I created it myself so I may be a bit biaised, but I specifically developed it for a bigger project that required big csv to json crunching.
Tell me if it served.
iam a beginner in hadoop,can any one help me in reading json in mapreduce job.
i have googled and found jaql is suitable for reading json.but i didnot find any documentaion on how it could be implemented in our map reduce job.
is there any other framework which supports reading json in map reduce?
any suggestions on this?
Thanks in Advance
I would rather trust the MapReduce framework itself to handle this. MapReduce allows us to write custom Inout/Output Formats to handle data which is not supported by it OOTB, like JSON. See this question for an example. I would prefer this as I won't require any third party stuff for this. It's just a matter of extending the MapReduce API(But it's just my choice. Other's may find something else more suitable).
But, the easiest way, IMHO, would be to use Hive or Pig to handle JSON data. You don't have to do much in order to make it work, as both these project have OOTB JSON support. See this for Hive-JSON SerDe and this for Pig's JsonLoader and JsonStorage.
HTH
I have somewhat unique requirement, which I could not find an answer to so far. I need a JSON to JSON transformation. Preferably, if I could plug it into Apache Camel, that would be wonderful.
As a side note, I would also welcome any suggestion to optimally store the JSON to JSON mapping. Is there any XSLT-based way of achieving this?
Thanks!
Mario
ZORBA with jsonIQ : http://www.jsoniq.org/
it's a native library, but with high performance. You have examples in the web page.
There is a simple design here: https://rawgithub.com/chunqishi/edu.brandeis.cs.json2json/master/docs/design-2014-04-09.html
May be you can improve it by source code, https://github.com/chunqishi/edu.brandeis.cs.json2json.
I know this is an old question, but to refresh the answers, starting from Camel 2.16 there is a new component for JOLT integration. It is very powerful !
I am running into problems where some of our data stores are seeing a lot of throughput. We are using POJOs serialized to JSON using Jackson. What are some of the ways we can compress JSON data?
One initial thought suggested using BSON but apparently its not much smaller than JSON.
Check out CJSON.
You can see some comparisons here.
If you're not wedded to JSON you could try MessagePack:
MessagePack is a binary-based efficient object serialization library.
It enables to exchange structured objects between many languages like
JSON. But unlike JSON, it is very fast and small.
There are implementations in many languages.