From bb2574ef0be1f4569eda1e7719508db207ce5a1e Mon Sep 17 00:00:00 2001 From: ShyamK Date: Mon, 27 Jun 2016 15:18:06 +0530 Subject: [PATCH 1/2] Update datasources.rst for a new way using Google Spreadsheet. --- docs/datasources.rst | 1 + 1 file changed, 1 insertion(+) diff --git a/docs/datasources.rst b/docs/datasources.rst index 97e19d078..7d8d3bada 100644 --- a/docs/datasources.rst +++ b/docs/datasources.rst @@ -159,6 +159,7 @@ Notes: 43242343247-fjdfakljr3r2@developer.gserviceaccount.com). 2. The query format is "DOC\_UUID\|SHEET\_NUM" (for example "kjsdfhkjh4rsEFSDFEWR232jkddsfh\|0") +3. Alternatively, one can create a new Google Bigquery table using the Google Spreadsheet in question as a source, and then use Redash's Bigquery connector to query the spreadsheet indirectly. This way, the SQL used to query the spreadsheet (via Bigquery table) is far more flexible than the direct query of the type ("kjsdfhkjh4rsEFSDFEWR232jkddsfh\|0") mentioned above. (`BigQuery integrates with Google Drive `__). Python From 5a1f4d9144ba985474eae86fbf71e31112139047 Mon Sep 17 00:00:00 2001 From: ShyamK Date: Wed, 6 Jul 2016 09:59:11 +0530 Subject: [PATCH 2/2] Update datasources.rst --- docs/datasources.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/datasources.rst b/docs/datasources.rst index 7d8d3bada..101fdc2af 100644 --- a/docs/datasources.rst +++ b/docs/datasources.rst @@ -159,7 +159,7 @@ Notes: 43242343247-fjdfakljr3r2@developer.gserviceaccount.com). 2. The query format is "DOC\_UUID\|SHEET\_NUM" (for example "kjsdfhkjh4rsEFSDFEWR232jkddsfh\|0") -3. Alternatively, one can create a new Google Bigquery table using the Google Spreadsheet in question as a source, and then use Redash's Bigquery connector to query the spreadsheet indirectly. This way, the SQL used to query the spreadsheet (via Bigquery table) is far more flexible than the direct query of the type ("kjsdfhkjh4rsEFSDFEWR232jkddsfh\|0") mentioned above. (`BigQuery integrates with Google Drive `__). +3. Alternatively, one can create a new Google BigQuery table using the Google Spreadsheet in question as a source, and then use Redash's BigQuery connector to query the spreadsheet indirectly. This way, the SQL used to query the spreadsheet (via BigQuery table) is far more flexible than the direct query of the type ("kjsdfhkjh4rsEFSDFEWR232jkddsfh\|0") mentioned above. (`BigQuery integrates with Google Drive `__). Python