amazon-redshift

问题 I am trying to create a 3 Month Moving Average based on some data that I have while using RedShift SQL or Domo BeastMode (if anyone is familiar with that). The data is on a day to day basis, but needs to be displayed by month. So the quotes/revenue need to be summarized by month, and then a 3MMA needs to be calculated (excluding the current month). So, if the quote was in April, I would need the average of Jan, Feb, Mar. The input data looks like this: Quote Date MM/DD/YYYY Revenue 3/24/2015

问题 I am trying to create a 3 Month Moving Average based on some data that I have while using RedShift SQL or Domo BeastMode (if anyone is familiar with that). The data is on a day to day basis, but needs to be displayed by month. So the quotes/revenue need to be summarized by month, and then a 3MMA needs to be calculated (excluding the current month). So, if the quote was in April, I would need the average of Jan, Feb, Mar. The input data looks like this: Quote Date MM/DD/YYYY Revenue 3/24/2015

问题 I'm trying to print out DDLs for all the tables in Redshift database. My code look something like this: cnxn = engine.connect() metadata = MetaData(bind=engine, schema=SCHEMA) metadata.reflect(bind=engine) for table in metadata.sorted_tables: try: res = CreateTable(table).compile(engine) print(res) except ProgrammingError as e: print(f"Failed to compile DDL for {table}: {e}") continue I've tested this code on other redshift databases and it seems to work fine. But in this database it fails

问题 I'm trying to write a window function to calculate exponential smoothing in Redshift. I am referencing this post (here). SELECT p.*, (sum(power((1/0.8666666), seqnum) * price) over (order by seqnum rows unbounded preceding) + first_value(price) over (order by seqnum rows unbounded preceding) ) / power((1/.13333333), seqnum+1 ) FROM (SELECT date, row_number() over (order by date) - 1 as seqnum, price FROM table.prices ) p; The issue is that when the value of the smoothing constant is anything

问题 as part of ETL to Redshift, in one of the source tables, there are 2 columns: original_timestamp - TIMESTAMP : which is the local time when the record was inserted in whichever region original_timezone_offset - Varchar : which is the offset to UTC The data looks something like this: original_timestamp original_timezone_offset 2011-06-22 11:00:00.000000 -0700 2014-11-29 17:00:00.000000 -0800 2014-12-02 22:00:00.000000 +0900 2011-06-03 09:23:00.000000 -0700 2011-07-28 03:00:00.000000 -0700 2011

问题 as part of ETL to Redshift, in one of the source tables, there are 2 columns: original_timestamp - TIMESTAMP : which is the local time when the record was inserted in whichever region original_timezone_offset - Varchar : which is the offset to UTC The data looks something like this: original_timestamp original_timezone_offset 2011-06-22 11:00:00.000000 -0700 2014-11-29 17:00:00.000000 -0800 2014-12-02 22:00:00.000000 +0900 2011-06-03 09:23:00.000000 -0700 2011-07-28 03:00:00.000000 -0700 2011

问题 I have below query which gives me data with three columns - type , amount and total for previous week using week_number column. select type, case WHEN (type = 'PROC1' AND contractdomicilecode = 'UIT') THEN 450 WHEN (type = 'PROC1' AND contractdomicilecode = 'KJH') THEN 900 WHEN (type = 'PROC2' AND contractdomicilecode = 'LOP') THEN 8840 WHEN (type = 'PROC2' AND contractdomicilecode = 'AWE') THEN 1490 WHEN (type = 'PROC3' AND contractdomicilecode = 'MNH') THEN 1600 WHEN (type = 'PROC3' AND

问题 I have a sample data, i want to get the Difference in month over month data 'Lag' column for only row B 回答1: If there always is just one row per month and id , then just use lag() . You can wrap this in a case expression so it only applies to id 'B' . select id, date, data, case when id = 'B' then data - lag(data) over(partition by id order by date) end lag_diff from mytable 来源： https://stackoverflow.com/questions/62160736/running-difference-month-over-month

问题 Overview I learn to migrate an Amazon RDS for Oracle Database to Amazon Redshift referring this tutorial https://docs.aws.amazon.com/dms/latest/sbs/CHAP_RDSOracle2Redshift.html Trouble In step5, I use Amazon SCT to convert the Oracle Schema to Amazon Redshift. But, I have to change config for Amazon SCT because the tutorial document is old written in 2017. One of the change config, I try to disable to use AWS Glue. I open Project settings to uncheck the checkbox "Use AWS Glue". And soon after

问题 I'd like to UNLOAD data from Redshift table into already existing S3 folder, in a similar way of what happens in Spark with the write option " append " (so creating new files in the target folder if this already exists). I'm aware of the ALLOWOVERWRITE option but this deletes the already existing folder. Is it something supported in Redshift? If not, what approach is recommended? (it would be anyway a desired feature I believe...) 回答1: One solution that could solve the issue is to attach