Snippets
Created by
Izac Hancock
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sql: `
SELECT
ingest_impressions.created,
ingest_impressions.owner,
ingest_impressions.impressionid,
ingest_impressions.uuid,
ingest_impressions.url,
ingest_impressions.trafficsource,
CAST(ingest_impressions.earned AS INT) as earned_int,
ingest_impressions.device,
ingest_impressions.city,
ingest_impressions.country,
MAX(ingest_impressions.isimpression) AS impressions,
SUM(ingest_impressions.timespent) AS time_spent,
SUM(ingest_impressions.scrolled) AS scrolled
FROM
ingest_impressions
GROUP BY
ingest_impressions.created,
ingest_impressions.owner,
ingest_impressions.impressionid,
ingest_impressions.uuid,
ingest_impressions.url,
ingest_impressions.trafficsource,
ingest_impressions.earned,
ingest_impressions.device,
ingest_impressions.city,
ingest_impressions.country
`,
measures: {
impressions: {
sql: `impressions`,
type: `sum`
},
people: {
sql: `count_distinct(uuid)`,
type: `number`
},
averageAttention: {
sql: `CASE WHEN impressions > 0 THEN time_spent / impressions ELSE 0 END`,
type: `avg`
},
totalAttention: {
sql: `CASE WHEN impressions > 0 THEN time_spent / impressions ELSE 0 END`,
type: `sum`
},
averageScrolled: {
sql: `CASE WHEN impressions > 0 THEN scrolled / impressions ELSE 0 END`,
type: `avg`
},
totalScrolled: {
sql: `CASE WHEN impressions > 0 THEN scrolled / impressions ELSE 0 END`,
type: `sum`
},
bounced: {
sql: `CASE WHEN time_spent <= 5 THEN 1 ELSE 0 END`,
type: `sum`
},
//Must include :: float4 to to get bounce rates
bounceRate: {
sql: `case
when
count(impressionid) > 0 then
sum(case
when time_spent <= 5 then 1 :: float4
else 0 :: float4
end) / count(impressionid) :: float4
else 0 :: float4
end * 100`,
type: `string`
//format: `percent`
},
earnedImpressions: {
sql: `earned_int`,
type: `sum`
},
content_overlap: {
sql: `
SELECT COUNT(*) FROM (
(SELECT uuid, COUNT(url) as total_urls
FROM (SELECT uuid, url FROM ${CUBE} GROUP BY uuid, url)
GROUP BY uuid) WHERE total_urls >= 2
)
`,
type: 'number'
}
},
dimensions: {
impressionid: {
sql: `${CUBE}.impressionid`,
type: `number`,
primaryKey: true
},
uuid: {
sql: `${CUBE}.uuid`,
type: `string`
},
url: {
sql: `url`,
type: `string`
},
owner: {
sql: `owner`,
type: `string`
},
trafficsource: {
sql: `trafficsource`,
type: `string`
},
earned: {
sql: `earned_int`,
type: `boolean`
},
device: {
sql: `device`,
type: `string`
},
country: {
sql: `country`,
type: `string`
},
created: {
sql: `created`,
type: `time`
},
dayOfWeek: {
sql: `(${CUBE}.created / 1000 / 60 / 60 / 24 + 5) % 7`,
type: `number`
},
timeOfDay: {
sql: `(${CUBE}.created / 1000 / 60 / 60) % 24`,
type: `number`
}
},
joins: {
time_to_scroll: {
sql: `${CUBE}.impressionid = ${time_to_scroll}.impressionid`,
relationship: `belongsTo`
}
},
preAggregations: {
mastheadMetrics: {
measures: [insights.averageAttention, insights.averageScrolled, insights.earnedImpressions, insights.impressions],
dimensions: [insights.owner],
timeDimension: insights.created,
granularity: `day`
},
topDevices: {
measures: [insights.earnedImpressions, insights.people, insights.averageAttention],
dimensions: [insights.device, insights.owner, insights.url],
timeDimension: insights.created,
granularity: `day`
},
mostViral: {
measures: [insights.people, insights.earnedImpressions, insights.averageAttention],
dimensions: [insights.owner, insights.url],
refreshKey: {
every: `1 hour`
},
indexes: {
indexName: {
columns: [insights.owner, insights.url]
}
},
timeDimension: insights.created,
granularity: `day`
},
bestTimeOfDay: {
measures: [insights.impressions, insights.averageAttention],
dimensions: [insights.owner, insights.timeOfDay],
timeDimension: insights.created,
granularity: `day`
},
bestDayOfWeek: {
measures: [insights.impressions, insights.totalAttention],
dimensions: [insights.dayOfWeek, insights.owner],
timeDimension: insights.created,
granularity: `day`
},
topAverageAttentionUrl: {
measures: [insights.totalAttention, insights.impressions],
dimensions: [insights.owner, insights.url]
},
topAverageAttentionDevice: {
measures: [insights.totalAttention, insights.impressions],
dimensions: [insights.device, insights.owner]
},
ExecAverageAttention: {
measures: [insights.totalAttention, insights.impressions],
dimensions: [insights.owner]
},
ExecTopDevice: {
measures: [insights.totalAttention, insights.impressions, insights.totalScrolled],
dimensions: [insights.device, insights.owner]
},
ExecBestTrafficSource: {
measures: [insights.impressions, insights.bounceRate],
dimensions: [insights.owner, insights.trafficsource]
},
ExecTopSocialNetwork: {
measures: [insights.people, insights.bounceRate],
dimensions: [insights.owner, insights.trafficsource]
},
ExecTopSocialNetworkTotalPeople: {
measures: [insights.people],
dimensions: [insights.owner]
},
ExecDeviceDistribution: {
measures: [insights.impressions],
dimensions: [insights.device, insights.owner]
}
}
});
|
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