Joining multiple data streams for real-time analytics

Before performing a join on multiple data streams, you must have already deployed Upsolver and created data sources.

Performing a join on multiple data streams is easy with Upsolver. This guide provides the instructions on joining a primary data source called Impressions and  a secondary data stream called Clicks. Impressions have the ad campaign information, while Clicks keeps track of the number of clicks on an ad. All clicks will be associated with an ad impression, but not all ad impressions result in clicks.

Create an Athena data output and define a data source

1. Click on OUTPUTS on the left and then NEW on the right upper corner.



2. SELECT Amazon Athena as the data output.



3. Click on ADD to add as many data sources as you need. Click on NEXT to continue.



Join two data streams together and perform data transformation



  1. Select the SQL window from the upper right hand corner.


2. The sample SQL performs a LEFT OUTER JOIN between impressions and clicks data streams. The LEFT OUTER JOIN is creating a lookup table behind the scenes. It enable users to index data by a set of keys and then retrieve the results in milliseconds. Read more about Upsolver lookup tables here.

SELECT AS impression_id,
data.win_timestamp AS impression_time,
data.campaign_id AS campaign_id,
data.exch_user AS user_id,
IF_ELSE ( click_data.click_time IS NULL, 0, 1) AS is_click  //if click_time exists returns 1, else returns 0
FROM Impressions
SELECT AS imp_id, LAST(data.click_timestamp) AS click_time //last click_timestamp is the click_time
FROM Clicks
GROUP BY AS click_data
WAIT 10 MINUTES ON click_data.imp_id = //wait for 10 minutes before performing the join since clicks usually arrive after impressions.

Define Athena output parameters



  1. Define storage, database and table information for your Athena environment and click on NEXT.



2. Define the compute cluster that you would like to use and the time range of the data you would like to output. Keep in mind that setting ENDING AT to Never means it’s a continuous stream. Click on DEPLOY.



Check output data and run analytics


1, Check to make sure the output data is up to date by clicking on the PROGRESS tab.



2. Run a query in Athena to make sure you get the correct results.

SELECT campaign_id,
     SUM(is_click)/COUNT(*) AS CTR //divide the sum of clicks for a campaign to the total number of impressions to get the click through rate
     FROM impression_clicks
GROUP BY campaign_id


What’s next?


Use Upsolver to index less data into Splunk.


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