3 апр. 2017 г. · I was thinking of using Redshift instead of some RDS solution since it is a bit cheaper and I am fine with handling latencies less than 10 seconds for my ...

22 апр. 2021 г. · The execution time reported by Redshift is only 84ms, which is expected and pretty good with the table at ~33M rows. However, the total runtime, both observed ...

1 дек. 2021 г. · The fact that I have observed is that with parallel queries the execution time is going up highly as the no of queries fired parallely increases.

21 нояб. 2023 г. · In our architecture we have data from AWS MSK being ingested into AWS Redshift using the Amazon Redshift Streaming Ingestion feature.

6 июл. 2017 г. · I am using Redhshift spectrum. I created an external table and uploaded a csv data file on S3 with around 5.5 million records. If fire a query on this external ...

24 дек. 2014 г. · The problem is network latency. It's funny but Redshift calculates query execution time till last row accepted by your client. Just dismiss it.

27 нояб. 2019 г. · The Redshift Spectrum processing power is limited by Redshift cluster size. You can find the infomation from Improving Amazon Redshift ...

28 мар. 2017 г. · Every time a run one of the updates, it takes more time than the last one. I have run 19 and the last one took almost 25 min. The time consumed by every ' ...

15 авг. 2018 г. · The objective is to find a way to get the LAG function to ignore those 'FAILURE' items... until it can find the preceding 'sub success' item.

19 июл. 2022 г. · I am trying to find the AVERAGE time users spend whilst going through registration within an app. This is my dataset: