Fix bugs for Python 3.6

jsonpyes now supports Python 2.7, 3.3, 3.4, 3.5, 3.6!

Add Python 3.x support

jsonpyes now supports Python 2.7, 3.3, 3.4, 3.5, 3.6 now!

1.3.1

update download link

Releasing more RAM when caching lines from a big file

It's recommended to have big RAM and extend more SWAP room when processing big data.

For those people who want better speed

Sometimes the data people would process could be 10GB -- 1000GB, so if you didn't have a big RAM server or PC, you would need to extend your SWAP space for caching. Also good multi-cores CPUs would be preferred. 😸

⛵ Now let's go fishing 🎣 🐟

Improved algorithm and shown diagram

With a clear diagram, it explains well why this is 5 to 10 times faster than before

Most of data are processed in RAM and on multi-threads.

Release 1.2.23 Much faster

Thanks to all contributors to this project.

jsonpyes now can import raw JSON files to ElasticSearch at a much more faster speed than before.

Try to use --thread 8 if you feel slow.

😀

Release 1.2.22

With full documents and features.

Try it using:

pip install jsonpyes

Notice:

• the _id of every doc is generated randomly by default. If you want to defined _id when importing, jsonpyes is not your choice. But you can still dive into it. Welcome your pull requests. Let's see 😃

stable

1.2.18

leaves a little bug. TODO: fix pypi uninstallation

test

easy to download.

If using pypi,

pip install jsonpyes

stable

Ready to use