This was a great video to understand the challenges faced in data. Will now be able to remember to keep an extra close eye on the timezone! Thank you 🙏🏾
Haha timestamps always trick me too but wait till you use the query builder. You're limited to visualise data to a maximum of 30 days. If you want to visualise for more than that you either need to select custom date range or move on to edit the query yourself. I find it quite annoying.
Thanks so much for the hints. I have a problem writing data as dataframe into Influxdb. I have spent more than 4 hours but I not succeeded. Could you be of help?
Try something different! You're clearly doing it wrong. What I would do is to create a data frame manually with just a single row in it. Try to write out and use the influx ui to see if some data greets written. Most likely it's something just like I was struggling with.
write_api.write(bucket=bucket, org=org, record=df, data_frame_measurement_name = 'ngerenyi')......i think i have a problem at this point to ingest the data into a bucket on Influxdb
Sorry Andreas, but dislike from me, because of misleading title. I expected to watch video about influxdb, but heard a story about stupid classic mistake! In my practice almost every developer goes through such mistake, while working with dates, usually at the beginning of his career.
![[Training] Getting Started with Continuous Queries and Retention Policies](http://i.ytimg.com/vi/0syXa8cBY-Y/mqdefault.jpg)
What was the dumbest thing you ever wasted time on while coding?
This was a great video to understand the challenges faced in data. Will now be able to remember to keep an extra close eye on the timezone! Thank you 🙏🏾
Happy it helped. This can be really annoying
Thanks for the heads up on influx. I wasted 3 hours on a script last week I forgot to include brackets in a dataframe.
😂
For sharing your experience
Haha timestamps always trick me too but wait till you use the query builder. You're limited to visualise data to a maximum of 30 days. If you want to visualise for more than that you either need to select custom date range or move on to edit the query yourself. I find it quite annoying.
Yeah, the UI is meant for querying short term data
Thank you ❤️
It’s very uncomfortable to watch because of switching from dark to light and back. Will be great to use dark styles
Ok
I watched this video and I didn't passed the interview.
thx very much
Haha. Well done
What do you think about AWS Timestream for timeseries
Also timescaleDb?
in general
AWS Timestream is super expensive. I hear this everywhere.
Also did a cost calculation a few months back.
It's rediculous.
@@andreaskayy Use TimescaleDB, we also found out that AWS timestream is insanly expensive while timescaledb was the apposite and faster
Thanks so much for the hints. I have a problem writing data as dataframe into Influxdb. I have spent more than 4 hours but I not succeeded. Could you be of help?
Try something different! You're clearly doing it wrong. What I would do is to create a data frame manually with just a single row in it. Try to write out and use the influx ui to see if some data greets written. Most likely it's something just like I was struggling with.
@@andreaskayy Thanks so much for your reply. I really appreciate.
write_api.write(bucket=bucket, org=org, record=df, data_frame_measurement_name = 'ngerenyi')......i think i have a problem at this point to ingest the data into a bucket on Influxdb
Sorry Andreas, but dislike from me, because of misleading title.
I expected to watch video about influxdb, but heard a story about stupid classic mistake!
In my practice almost every developer goes through such mistake, while working with dates,
usually at the beginning of his career.
I prefer Clickhouse
what's that?