qertgrace.blogg.se - Ilike redshift

You cannot use this way if the table is created through other ways like renaming a table name.We have to query in multiple places to get understanding of why a particular query is terminated.Ī view would help understand easily why a query was terminated.Įmail from AWS: I have organized the steps and queries below that could provide a more organized and granular view in troubleshooting such cases in the future.ġ) Identify the aborted queries and note the query number, the starttime and endtime (thanks for providing the query that you used to identify the aborted queries).

Redshift does not keep STL_DDLTEXT for a long time, so you cannot use this way permanently.

In the above case, starttime or endtime will be a timestamp of the test_table table creation. Historytable.createdate select starttime, endtime, trim(text) as ddl from stl_ddltext where text ilike '%create%table%test_table%' order by endtime desc limit 1

WHERE historytable.tablename = a2.tablename AND

INSERT INTO temp_historyĭELETE FROM historytable USING historytable a2 Then build the job and you can schedule to run the. Lastly a simpler method would be to use Talend Big Data Open Studio and create a new job grab the component tRedshiftRow and paste the following SQL into it. copy aws_table_history from 's3://tablehistory' credentials 'aws_access_key_id=MYKEY aws_secret_access_key=MYID' Then import it back in to your custom table. To 's3://tablehistory' credentials 'aws_access_key_id=myaccesskey aws_secret_access_key=mysecretkey'ĭELIMITER '|' NULL AS '' ESCAPE ALLOWOVERWRITE Ĭreate a new table in AWS Redshift. (select split_part(split_part(b.text,'table ', 2), ' ', 1) as tablename, starttime as createdateĪnd b.text ilike 'create table%' order by a.starttime desc) The below select statement will output the table name created and the datetime it was created.Ĭreate a temp table with the data you want to export to S3. Where a.query = b.query and b.text ilike 'create table%' order by a.starttime desc Įxport the Create Table data history you want to your created S3 bucket with your keys. Or get just the Table name and date like this: select split_part(split_part(b.text,'table ', 2), ' ', 1) as tablename, Select * from stl_query a, stl_querytext b where a.query = b.query and b.text ilike 'create table%' order by a.starttime desc limit 100 select * from svl_qlog where substring ilike 'create table%' order by starttime desc limit 100 Then in my opinion you could import these s3 files back into a permanent table you want called aws_table_history or something so that this special data you keep forever. Amazon recommends to keep this data to export the data to S3 from the logs you want to retain to S3. Although everyone would like metadata stored along with the table itself to query. There are other tables you can look at to get similar data but the problem with this way is that it's only kept for a couple of days (3 - 5). In Redshift the other ways you can get the create time of your table by searching for the start and stop time of any create table sql run in the svl_qlog.