SQL Executor
SQL executor allows you to execute SQL code via any database supported by SqlAlchemy.
Install
Ensure that garf-executors library is installed with SqlAlchemy support:
pip install garf-executors[sql]
Usage
After garf-executors is installed you can use garf utility to perform fetching.
Important
sql executor expects a connection_string parameter in
SqlAlchemy format.
If it's not provided queries are executed via in-memory sqlite database.
echo "SELECT campaign_id FROM table" > query.sql
garf query.sql --source sqldb \
--output csv
query- local or remote path(s) to files with queries.output- output supported bygarf-iolibrary.
from garf.executors.sql_executor import SqlAlchemyQueryExecutor
query_executor = SqlAlchemyQueryExecutor()
query_text = "SELECT campaign_id FROM table"
# execute query and get report back
report = query_executor.execute(query=query_text, title="campaign")
# execute query and save results to `campaign.csv`
query_executor.execute(
query=query_text,
title="campaign",
context={'writer': 'csv'}
)
curl -X 'POST' \
'http://127.0.0.1:8000/api/execute' \
-H 'accept: application/json' \
-H 'Content-Type: application/json' \
-d '{
"source": "sqldb",
"query": "SELECT campaign_id FROM table",
"title": "campaign",
"context": {
"writer": "csv"
}
}'
Parameters
connection_string
SqlAlchemyQueryExecutor requires connection string to the database.
garf query.sql --source sqldb \
--output csv \
--sqldb.connection_string=DB_CONNECTION_STRING
from garf.executors.sql_executor import SqlAlchemyQueryExecutor
query_executor = (
SqlAlchemyQueryExecutor.from_connection_string('DB_CONNECTION_STRING')
)
curl -X 'POST' \
'http://127.0.0.1:8000/api/execute' \
-H 'accept: application/json' \
-H 'Content-Type: application/json' \
-d '{
"source": "sqldb",
"query": "SELECT campaign_id FROM table",
"title": "campaign",
"context": {
"writer": "csv",
"fetcher_parameters": {
"connection_string": "DB_CONNECTION_STRING"
}
}
}'