![]() ![]() 18:35:25 Validating the Host,User,Database arguments 18:35:25 Perfect all the mandatory arguments are set 18:35:25 Validating the Vacuum and Analyze arguments 18:35:25 Vacuum Arguemnt is 1 18:35:25 Analyze Arguemnt is 1 18:35:25 Password will be taken from pgpass 18:35:25 Getting the list of schema 18:35:26 Getting the list of Tables 18:35:26 Setting the other arguments 18:35:27 Vacuum is Starting now, stay tune !!! 18:35:28 Vacuum done 18:35:29 Analyze is Starting now, Please wait. vacuum-analyze-utility.sh -h endpoint -u bhuvi -d dev -b tbl1 -k sc1 -a 1 -v 1 -x 0 -f 0 18:35:25 Starting the process. REDSHIFT VACUUM FULL# Eg: run vacuum FULL on Sunday and SORT ONLY on other days if ] then vacuumoption='FULL' else vacuumoption="SORT ONLY" fi Sample output:įor vacuum and Analyze. if ] then vacuumoption='SORT ONLY' else vacuumoption=$vacuumoption fiĪnd add these lines. We’ll not full the Vacuum full-on daily basis, so If you want to run vacuum only on Sunday and do vacuum SORT ONLY on the other day’s without creating a new cron job you can handle this from the script. vacuum-analyze-utility.sh -h endpoint -u bhuvi -d dev -s sc1 -t tbl1 -a 1 -v 0 -r 0.01ĭo a dry run (generate SQL queries) for analyze all the tables on the schema sc2./vacuum-analyze-utility.sh -h endpoint -u bhuvi -d dev -s sc2 -z 1ĭo a dry run (generate SQL queries) for both vacuum and analyze for the table tbl3 on all the schema./vacuum-analyze-utility.sh -h endpoint -u bhuvi -d dev -t tbl3 -z 1 Schedule different vacuum options based on the day Run analyze only the schema sc1 but set the analyze_threshold_percent=0.01. Run the vacuum only on the table tbl1 which is in the schema sc1 with the Vacuum threshold 90%./vacuum-analyze-utility.sh -h endpoint -u bhuvi -d dev -s sc1 -t tbl1 -a 0 -c 90 Run the Analyze on all the tables in schema sc1 where stats_off is greater than 5./vacuum-analyze-utility.sh -h endpoint -u bhuvi -d dev -v 0 -a 1 -f 5 vacuum-analyze-utility.sh -h endpoint -u bhuvi -d dev -x 10 ![]() Run vacuum and analyze on the tables where unsorted rows are greater than 10%./vacuum-analyze-utility.sh -h endpoint -u bhuvi -d dev -v 1 -a 1 -x 10 or. Use a password on the command line./vacuum-analyze-utility.sh -h endpoint -u bhuvi -d dev -P bhuvipassword vacuum-analyze-utility.sh -h endpoint -u bhuvi -d dev -b 'tbl1,tbl3' -v 0 Run Analyze only on all the tables except the tables tb1,tbl3./vacuum-analyze-utility.sh -h endpoint -u bhuvi -d dev -b 'tbl1,tbl3' -a 1 -v 0 or. vacuum-analyze-utility.sh -h endpoint -u bhuvi -d dev -k sc1 -o FULL -a 0 vacuum-analyze-utility.sh -h endpoint -u bhuvi -d dev -k sc1 -o FULL -a 0 -v 1 or. Run vacuum FULL on all the tables in all the schema except the schema sc1. Run vacuum and Analyze on the schema sc1, sc2./vacuum-analyze-utility.sh -h endpoint -u bhuvi -d dev -s 'sc1,sc2' Run vacuum and Analyze on all the tables./vacuum-analyze-utility.sh -h endpoint -u bhuvi -d dev REDSHIFT VACUUM INSTALLGet the code from here:įor this, you just need psql client only, no need to install any other tools/software. We developed(replicated) a shell-based vacuum analyze utility which almost converted all the features from the existing utility also some additional features like DRY RUN and etc. So we wanted to have a utility with the flexibility that we are looking for. But due to some errors and python related dependencies (also this one module is referring modules from other utilities as well). We all know that AWS has an awesome repository for community-contributed utilities. You know your workload, so you have to set a scheduled vacuum for your cluster and even we had such a situation where we need to build some more handy utility for my workload. But for a busy Cluster where everyday 200GB+ data will be added and modified some decent amount of data will not get benefit from the native auto vacuum feature. And they can trigger the auto vacuum at any time whenever the cluster load is less. But RedShift will do the Full vacuum without locking the tables. Since its build on top of the PostgreSQL database. REDSHIFT VACUUM UPDATEBut for a DBA or a RedShift admin its always a headache to vacuum the cluster and do analyze to update the statistics. AWS also improving its quality by adding a lot more features like Concurrency scaling, Spectrum, Auto WLM, etc. AWS RedShift is an enterprise data warehouse solution to handle petabyte-scale data for you. Vacuum and Analyze process in AWS Redshift is a pain point to everyone, most of us trying to automate with their favorite scripting language. ![]()
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