![]() That are run while we’re running the db:export_schema_for_reporting task Wrapping the whole thing in a transactionĮnsures queries against the foreign tables Reload of the Segment data in the cluster.īEGIN CREATE EXTENSION IF NOT EXISTS postgres_fdw DROP SERVER IF EXISTS app CASCADE CREATE SERVER … CREATE USER MAPPING … DROP SCHEMA IF EXISTS app CREATE SCHEMA app IMPORT FOREIGN SCHEMA … COMMIT If you want to insert custom data into your warehouse, create new schemas thatĪre not associated with an existing source, since these may be deleted upon a You should make sure it’s in a separate schema: In a PostgreSQL database that you’re using as a Segment warehouse That if you’re going to put any additional tables Means we don’t have to worry about naming collisions. Into the reporting database’s public schema,īut keeping all of the foreign tables in a separate schema We could import from the app database’s public schema Then you’re implicitly using the public schema. If you haven’t explicitly specified a schema Into our reporting database’s app schema.Ī schema in PostgreSQL is just a namespace for grouping tables. This will create foreign tables for all of the tables We needed to do a bit of setup in the reporting database.ĬREATE SCHEMA app IMPORT FOREIGN SCHEMA public FROM SERVER app_database_server INTO app (we’ve used tds_fdw on other thoughtbot projects),īut for Healthify’s situation postgres_fdw was exactly what we needed. In another PostgreSQL database (Postgres 9.3 and later). postgres_fdw to create foreign tables that represent tables.file_fdw to create foreign tables that represent flat files.There are two foreign data wrappers that ship with PostgreSQL: When you make a query against aįoreign table, the Foreign Data Wrapper will query the external data sourceĪnd return the results as if they were coming from a table in your database. Lets you create foreign tables in a PostgreSQL database that are PostgreSQL has a useful feature called Foreign Data Wrapper, which Reporting data using attributes from the app data, without having to pass thoseĪttributes to Segment. Some questions that needed data from both sources. To better understand how people are using the application, we wanted to answer a reporting database, with anonymised data from Segment.Their app database, which their Rails app uses, and. CREATE FOREIGN DATA WRAPPER AWS POSTGRESQL FULLSo Healthify has two PostgeSQL databases full of useful information: Segment can send your data to a PostgreSQL data warehouse, One such service is Segment, which Healthify use to track user Very careful not to send any personally identifiable information to third party Since Healthify work with healthcare and store some patient information, they’re Have you ever needed to write a query that combined data from two PostgreSQL ![]()
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