Ideas are cheap. Make a prototype, sketch a CLI session, draw a wireframe. Discuss around concrete examples, not hand-waving abstractions. Don't say you did something, provide a URL that proves it.
Nothing is real until it's being used by a real user. This doesn't mean you make a prototype in the morning and blog about it in the evening. It means you find one person you believe your product will help and try to get them to use it.
| {% macro form_field(field) -%} | |
| {% set with_label = kwargs.pop('with_label', False) %} | |
| {% set placeholder = '' %} | |
| {% if not with_label %} | |
| {% set placeholder = field.label.text %} | |
| {% endif %} | |
| <div class="control-group {% if field.errors %}error{% endif %}"> | |
| {% if with_label %} | |
| <label for="{{ field.id }}" class="control-label"> | |
| {{ field.label.text }}{% if field.flags.required %} *{% endif %}: |
| If you want, I can try and help with pointers as to how to improve the indexing speed you get. Its quite easy to really increase it by using some simple guidelines, for example: | |
| - Use create in the index API (assuming you can). | |
| - Relax the real time aspect from 1 second to something a bit higher (index.engine.robin.refresh_interval). | |
| - Increase the indexing buffer size (indices.memory.index_buffer_size), it defaults to the value 10% which is 10% of the heap. | |
| - Increase the number of dirty operations that trigger automatic flush (so the translog won't get really big, even though its FS based) by setting index.translog.flush_threshold (defaults to 5000). | |
| - Increase the memory allocated to elasticsearch node. By default its 1g. | |
| - Start with a lower replica count (even 0), and then once the bulk loading is done, increate it to the value you want it to be using the update_settings API. This will improve things as possibly less shards will be allocated to each machine. | |
| - Increase the number of machines you have so |
| """:mod:`hstore` --- Using PostgreSQL hstore with SQLAlchemy | |
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | |
| .. note:: | |
| I released it under Public Domain. Feel free to use! | |
| It provides :class:`Hstore` type which makes you to store Python | |
| dictionaries into hstore columns in PostgreSQL. For example:: |
| # Start and stop headless VMs | |
| # put this on your path as save it as vm or vm.sh. | |
| # no need to turn your vmware on when running on Mac | |
| # just run as vm start and it will list all the available vm images. | |
| # then choose which one you want to start. perfect for running Linux under OSX | |
| # in headless mode for development | |
| # Note:, some of this script is from gist (72638254422dc741b299) | |
| # Some rework and enhancement to make it work better and handle windows | |
| #!/bin/bash |
