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Dataform/SQL Project for YouTube data

Querying the Database

  • Install JetBrains Datagrip

  • In DataGrip, add a new Snowflake Datasource with the following details

    Host: ql98184.west-us-2.azure.snowflakecomputing.com
    User/Password: This will be provided
    Databse: yt
    Schema: public

  • You should now be able to query. e.g.:

select * from channel_latest limit 10

The advantage of Datagrip, is that it provides schema aware autocomplete with snowflake specific functions and syntax.

Datagrip SQL query

Dataform Project

Dataform is a tool to transform data within a warehouse using SQL. /definitions Contains SQL with additional Dataform metadata to process the data in it.

NOTE: This is only needed when you want to create standard shared table, often you can just query the databse with SQL without needing to create permanent tables.

If you have been given access, log into Dataform and you should be able to open the YT project.

How it works

Recfluence collects YouTube data daily, and loads this into *_stage tables in this database. Recfluence then run's this project to update all tables tagged as standard. The up to date dta is queried fora variety of purposes:

  • Ah-hoc SQL for reports
  • Standard Tableau reports
  • Extracting to blob data for use by web-sites

Schema

Table conventions:

*_stage These are tables with a single v column containing JSON. This is where raw data lands from recfluence. They may have inconsistencies, duplicate rows and performance issues querying it directly.

*_latest These are tables with the latest data for a historical record. For example, channel many rows for the same channel representing what it was at a point in time, and channel_latest contains one row per channel with the most recently updated data.

Table Help/Descriptions

Descriptions for tables are defined in .sqlx files and saync'ed as comments on tables by dataform (and by the recfluence CLI). These appear as tooltips in datagrip and any good sql tool.

Example Queries

/* most watched political videos for Jan 2021 with their channels tag's */
select v.video_id, c.channel_title, v.video_title, c.tags
from video_latest v
join channel_latest c on c.channel_id = v.channel_id
where c.meets_review_criteria -- only political channels
  and v.upload_date between '2021-01-01' and '2021-02-01'
order by v.views desc nulls last

/* count of channels by tag */
select 
t.value::string tag -- get the tag value from the flatten result. :: is shorthand for casting the type
, count(distinct channel_id) tags
from channel_latest
  , table(flatten(tags)) t -- tags is an array. flatten creates a a row for each tag 
group by 1 -- snowflake supports grouping by position
order by tags desc