hive2elastic synchronises hivemind's posts & comments to an elasticsearch index and keeps it updated.
Some additional database objects have to be created on hive's database.
Follow steps below:
1- Stop hive. Make sure all hive processes stopped.
2- Create database objects on hive's database.
CREATE TABLE __h2e_posts
(
post_id INTEGER PRIMARY KEY
);
INSERT INTO __h2e_posts (post_id) SELECT id FROM hive_posts;
CREATE OR REPLACE FUNCTION __fn_h2e_posts()
RETURNS TRIGGER AS
$func$
BEGIN
IF NOT EXISTS (SELECT post_id FROM __h2e_posts WHERE post_id = NEW.id) THEN
INSERT INTO __h2e_posts (post_id) VALUES (NEW.id);
END IF;
RETURN NEW;
END
$func$ LANGUAGE plpgsql;
CREATE TRIGGER __trg_h2e_posts
AFTER INSERT OR UPDATE ON hive_posts
FOR EACH ROW EXECUTE PROCEDURE __fn_h2e_posts();
3- Start hive
Make sure database credentials that you use has delete permission on __h2e_posts table
Elasticsearch
You can find detailed installation instructions here
$ git clone https://github.com/esteemapp/hive2elastic
$ cd hive2elastic
$ pip3 install -e .
$ python3 setup.py build
$ python3 setup.py install
You can configure hive2elastic by these arguments/environment variables:
| Argument | Environment Variable | Description | Default |
|---|---|---|---|
| --db-url | DB_URL | Connection string for hive database | -- |
| --es-url | ES_URL | Elasticsearch server address | -- |
| --es-index | ES_INDEX | Index name on elasticsearch | hive_posts |
| --es-type | ES_TYPE | Type name on elasticsearch index | hive_posts |
| --bulk-size | BULK_SIZE | Number of documents to index in a single loop | 500 |
| --max-workers | MAX_WORKERS | Max workers for document preparation process | 2 |
$ export DB_URL=postgresql://username:passwd@localhost:5432/hive
$ export ES_URL=http://localhost:9200/
$ export BULK_SIZE=2000
$ export MAX_WORKERS=4
$ hive2elastic_post