Grafana MySQL query to visualize Volkszähler-Data

vz.md

Using Channel-IDs (that's not UUID)

SELECT
  timestamp/1000 as time_sec, 
  data.value as value, 
  properties.value as metric
FROM data
  LEFT JOIN properties ON (properties.entity_id = data.channel_id)
  LEFT JOIN entities ON (entities.id = data.channel_id)
WHERE 
  (channel_id = 1 || channel_id = 2 || channel_id = 3)  AND 
  timestamp >= $__unixEpochFrom()*1000 AND 
  timestamp <= $__unixEpochTo()*1000 AND
  properties.pkey = 'title'
ORDER BY timestamp ASC

Using channel names

SELECT
  timestamp/1000 as time_sec, 
  data.value as value, 
  properties.value as metric
FROM data
  LEFT JOIN properties ON (properties.entity_id = data.channel_id)
  LEFT JOIN entities ON (entities.id = data.channel_id)
WHERE 
  (properties.value = "Flur" || properties.value = "Werkstatt" ) AND
  timestamp >= $__unixEpochFrom()*1000 AND 
  timestamp <= $__unixEpochTo()*1000 AND
  properties.pkey = 'title'
ORDER BY timestamp ASC

Using UUID

SELECT
  timestamp/1000 as time_sec, 
  data.value as value, 
  properties.value as metric
FROM data
  LEFT JOIN properties ON (properties.entity_id = data.channel_id)
  LEFT JOIN entities ON (entities.id = data.channel_id)
WHERE 
  (uuid = "12345678-1234-1234-1234-1234567890ab" || uuid = "12345678-1234-1234-1234-1234567890ac" ) AND
  timestamp >= $__unixEpochFrom()*1000 AND 
  timestamp <= $__unixEpochTo()*1000 AND
  properties.pkey = 'title'
ORDER BY timestamp ASC

Good catch, I updated the gist according to your suggestion.