Solring
Solring is an easy-to-use import tool from solr to local storage. By supporting various options we can create custom
queries and save from a running Solr server to a file.
How it works
$ pip install solring==0.0.2
$ solring --help
usage: Solring.py [-h] [--version] --url URL [--output OUTPUT]
[--save_format {csv,txt}] --core CORE [--rows ROWS] [-fl FL]
[-q Q] [-fq FQ] [--score] [--qt QT]
{group} ...
optional arguments:
-h, --help show this help message and exit
--version show program's version number and exit
--url URL, -u URL The host:port of the running solr.
--output OUTPUT, -o OUTPUT
Output file name.
--save_format {csv,txt}, -sf {csv,txt}
File type of saved records. Default is txt.
--core CORE, -c CORE The core/collection in solr.
--rows ROWS, -r ROWS The number of row numbers returned. By default, Solr
returns 5 batches at a time to save records.
-fl FL Field list to retrieve. By default, Solr returns the
id field.
-q Q Search query. By default, Solr returns all records.
-fq FQ Filter queries.
--score Learn score of each record in a score field.
--qt QT solr request handle to query on, default is '/select'.
group command:
{group} group help
The group command parameters:
$ solring group --help
usage: Solring.py group [-h] --group_fl GROUP_FL --group_agg
{mean,min,max,count} --group_column GROUP_COLUMN
optional arguments:
-h, --help show this help message and exit
--group_fl GROUP_FL The field(s) we want to use to group by.
--group_agg {mean,min,max,count}
Aggregation functions to use in group by. Default is
count.
--group_column GROUP_COLUMN
The field(s) where we want to aggregate.
Create a custom query where the query we search for is 'boat', we have two filter queries, and we only need to know
their ids and titles as follows:
solring --url http://127.0.0.1:8983\
-c boats \
-fq "cabin:[6 TO *]" \
-fq harbors:marmaris \
-q boat \
-fl id,title,boat_size,group_id
$ ls
output.txt
Let's now aggregate the above request with group options. We can learn the min and max of boats_size of each group:
solring --url http://127.0.0.1:8983\
-c boats \
-fq "cabin:[6 TO *]" \
-fq harbors:marmaris \
-q boat \
-r 100 \
-fl id,title,boat_size,group_id \
-o groupby_boats \
group --group_agg min --group_agg max --group_column boat_size --group_fl group_id
$ ls æ
groupby_boats.txt
LICENSE
MIT