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- Install postgres
- Setup the Postgres database
- Setup the postgres database
- Install package
- Install apt packages
- Setup the postgres server
- Install a package
- Generates a random bit of random bits
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- Install Postgres database
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Trending Discussions on postgres
QUESTION
I have an Aurora Serverless instance which has data loaded across 3 tables (mixture of standard and jsonb data types). We currently use traditional views where some of the deeply nested elements are surfaced along with other columns for aggregations and such.
We have two materialized views that we'd like to send to Redshift. Both the Aurora Postgres and Redshift are in Glue Catalog and while I can see Postgres views as a selectable table, the crawler does not pick up the materialized views.
Currently exploring two options to get the data to redshift.
- Output to parquet and use copy to load
- Point the Materialized view to jdbc sink specifying redshift.
Wanted recommendations on what might be most efficient approach if anyone has done a similar use case.
Questions:
- In option 1, would I be able to handle incremental loads?
- Is bookmarking supported for JDBC (Aurora Postgres) to JDBC (Redshift) transactions even if through Glue?
- Is there a better way (other than the options I am considering) to move the data from Aurora Postgres Serverless (10.14) to Redshift.
Thanks in advance for any guidance provided.
...ANSWER
Answered 2021-Jun-15 at 13:51Went with option 2. The Redshift Copy/Load process writes csv with manifest to S3 in any case so duplicating that is pointless.
Regarding the Questions:
N/A
Job Bookmarking does work. There is some gotchas though - ensure Connections both to RDS and Redshift are present in Glue Pyspark job, IAM self ref rules are in place and to identify a row that is unique [I chose the primary key of underlying table as an additional column in my materialized view] to use as the bookmark.
Using the primary key of core table may buy efficiencies in pruning materialized views during maintenance cycles. Just retrieve latest bookmark from cli using
aws glue get-job-bookmark --job-name yourjobname
and then just that in the where clause of the mv aswhere id >= idinbookmark
conn = glueContext.extract_jdbc_conf("yourGlueCatalogdBConnection")
connection_options_source = { "url": conn['url'] + "/yourdB", "dbtable": "table in dB", "user": conn['user'], "password": conn['password'], "jobBookmarkKeys":["unique identifier from source table"], "jobBookmarkKeysSortOrder":"asc"}
datasource0 = glueContext.create_dynamic_frame.from_options(connection_type="postgresql", connection_options=connection_options_source, transformation_ctx="datasource0")
That's all, folks
QUESTION
I try to write a (postgres) sql query which returns the last rows before a specific numeric column drops below it's preceding value, for multiple services
.
Let's say the given data looks like:
...ANSWER
Answered 2021-Jun-15 at 12:28Based on your data, you want to see where the values increase from the value on the immediately preceding value for that service. For that, use lag()
:
QUESTION
I'm trying to learn Flask and use postgresql with it. I'm following this tutorial https://realpython.com/flask-by-example-part-2-postgres-sqlalchemy-and-alembic/, but I keep getting error.
...ANSWER
Answered 2021-Jun-15 at 02:32I made a new file database.py and defined db there.
database.py
QUESTION
Are the following queries identical, or might I get different results (in any major DB system, e.g. MSSQL, MySQL, Postgres, SQLite):
Doing both in the same query:
...ANSWER
Answered 2021-Jun-10 at 21:25Tables are unordered sets of data. A query result is a table. So if you select from a subquery that contains an ORDER BY
clause, that clause means nothing; the data set is unordered by definition. The DBMS is free to ignore the ORDER BY
clause. Some DBMS may even issue a warning or error, but I suppose it's more common that the ORDER BY
clause just has no effect - at least not guaranteed.
In this query
QUESTION
I am using the following docker-compose image, I got this image from: https://github.com/apache/airflow/blob/main/docs/apache-airflow/start/docker-compose.yaml
...ANSWER
Answered 2021-Jun-14 at 16:35Support for _PIP_ADDITIONAL_REQUIREMENTS
environment variable has not been released yet. It is only supported by the developer/unreleased version of the docker image. It is planned that this feature will be available in Airflow 2.1.1. For more information, see: Adding extra requirements for build and runtime of the PROD image.
For the older version, you should build a new image and set this image in the docker-compose.yaml
. To do this, you need to follow a few steps.
- Create a new
Dockerfile
with the following content:
QUESTION
so I've got this model:
...ANSWER
Answered 2021-Jun-14 at 16:27You have to do this:
QUESTION
I am using a postgres database for the first time. I am using python 3 in miniconda in Windows 10 and Lubuntu.
I want to start my database server from my python script (on the cron). When it starts, nothing else get executed in my script. Do I need multi-threading or it's something else?
thanks everyone
...ANSWER
Answered 2021-Jun-14 at 15:28I tried subprocess.run() instead of os.popen() and it works
QUESTION
I have master-slave (primary-standby) streaming replication set up on 2 physical nodes. Although the replication is working correctly and walsender and walreceiver both work fine, the files in the pg_wal
folder on the slave node are not getting removed. This is a problem I have been facing every time I try to bring the slave node back after a crash. Here are the details of the problem:
postgresql.conf on master and slave/standby node
...ANSWER
Answered 2021-Jun-14 at 15:00You didn't describe omitting pg_replslot during your rsync, as the docs recommend. If you didn't omit it, then now your replica has a replication slot which is a clone of the one on the master. But if nothing ever connects to that slot on the replica and advances the cutoff, then the WAL never gets released to recycling. To fix you just need to shutdown the replica, remove that directory, restart it, (and wait for the next restart point to finish).
Do they need to go to wal_archive folder on the disk just like they go to wal_archive folder on the master node?
No, that is optional not necessary. It is set by archive_mode = always
if you want it to happen.
QUESTION
Attempting to use cyrilgdn/postgresql provider but terraform continues to attempt to load hashicorp/postgresql, this causes init to fail. Currently using terraform 1.0.0, although the problems happens on 14.1 too - have not upgraded from 12.x, always run 14.1 or newer on this work.
I've reduced the code to the below, nothing else in this folder and still get the problem
...ANSWER
Answered 2021-Jun-14 at 11:05It should be postgresql
, not postgres
:
QUESTION
I have 5 different tables:
- Toasters: product name (foreign key to products and primary key), slots, serial
- Microwaves: product name (same as toaster), wattage
- Products: product name (primary key)
- Stock: product (fk to product), warehouse (fk to warehouse), amount
- Warehouse: name (primary key)
toasters and microwaves are child tables of products (although its not using postgres inheritance, since there are issues with it). They represent different models of toasters (simplified to just slots and wattage here). Every toaster and microwave has exactly 1 entry in the products table.
Now the goal is to create a query that essentially gives me an amount of all products across all warehouses for a given list of product names. The problem is, that some warehouses may not have a stock entry for a certain product. They also have either one stock per product or none.
I have managed to make it work for a single warehouse:
...ANSWER
Answered 2021-Jun-14 at 14:20Add a table of warehouses wanted.
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You can use postgres like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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