CloudServices/Sync/ReDash: Difference between revisions
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(added descriptions) |
(added query example) |
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| submission_date_s3 || varchar || ?? | | submission_date_s3 || varchar || ?? | ||
|} | |} | ||
<big>Query Example</big> | |||
The example below demonstrate how to select data in JSON object. | |||
<code> | |||
WITH errors AS ( | |||
SELECT | |||
failurereason.name AS name, | |||
failurereason.value AS value | |||
FROM sync_summary | |||
WHERE failurereason IS NOT NULL | |||
) | |||
SELECT | |||
name, | |||
COUNT(value) | |||
FROM errors | |||
GROUP BY name | |||
</code> |
Revision as of 23:54, 13 October 2016
The Sync team's telemetry goes through our data pipeline and lands in Presto to be explored in Re:Dash. Below is a description of the data available in the sync_summary table.
Field Names | Data Type | Description |
---|---|---|
app_build_id | varchar | Firefox build ID (e.g. 20160801085519) |
app_display_version | varchar | Firefox version (e.g. 50.0a2) |
app_name | varchar | Platform? |
app_version | varchar | What's the difference with app_display_version? |
uid | varchar | Hashed Sync/FxA ID |
deviceid | varchar | Browser profile id? Not currently captured. |
when | bigint | Linux time stamp of when error occurred. |
took | bigint | ??? |
failurereason | row(name varchar, value varchar) | Sync failure reason |
status | row(sync varchar, service varchar) | ?? |
why | varchar | ?? |
engines | array(row(name varchar, took bigint, status varchar, failureReason row(name varchar, value varchar), incoming row(applied bigint, failed bigint, newFailed bigint, reconciled bigint), outgoing array(row(sent bigint, failed bigint)))) | ?? |
submission_date_s3 | varchar | ?? |
Query Example The example below demonstrate how to select data in JSON object.
WITH errors AS (
SELECT
failurereason.name AS name,
failurereason.value AS value
FROM sync_summary
WHERE failurereason IS NOT NULL
)
SELECT
name,
COUNT(value)
FROM errors
GROUP BY name