Using an s3 event and python based lambda to load data into PostgreSQL – or – Redshift
This post is just a reference to another post found that does that job in a rather basic way. Note […]
This post is just a reference to another post found that does that job in a rather basic way. Note […]
From Redshift usually as a superuser issue this create external schema sql: –Creating external schema create external schema myspectrum_schema from
Redshift Spectrum can do partition pruning if you create partitioned tables and you partition the underlying s3 data into folders.
Lambda code will look like this: import json import psycopg2 import os def lambda_handler(event, context): print(“event collected is {}”.format(event)) for
Redshift roles were a recent (2022) addition to Redshift. Prior to adding this feature Redshift groups where used for the
There are several types of system tables and views here are there prefixes which categorize purpose: SVV_ prefixedviews contain information
Reach out to AWS Support to increase this #. They will gladly. If you try to create a 21st your
The blog outlines one method for handling Slowly Changing Dimensions – probably the most popular method referred to as type
To find blocking locks: select a.txn_owner, a.txn_db, a.xid, a.pid, a.txn_start, a.lock_mode, a.relation as table_id,nvl(trim(c.”name”),d.relname) as tablename, a.granted,b.pid as blocking_pid ,datediff(s,a.txn_start,getdate())/86400||’
Basically it comes down to this syntactical example: GRANT USAGE ON DATASHARE salesshare TO NAMESPACE ’13b8833d-17c6-4f16-8fe4-1a018f5ed00d’; To determine the namespace