I want to unload data from a snowflake table into a Postgres database. Snowflake documentation does not show an unload option in a relational database.
Is there a way to unload the data from snowflake to Postgres currently.
Any help is appreciated.
Snowflake only has connectivity to cloud storage. It can't connect to any other database directly.
If the table is small to medium size, you can use the Snowflake Web GUI:
Query the data: SELECT * FROM my_table;
Press the download button in the Results pane (next to the Copy button) and export as TSV or CSV
Import the file into Postgress (I don't know the details of this step)
Related
We daily receive 7 millions of records , we are going to append to the existing target table.The target table is partitioned based on date
We are using DB2 Load command to load data from one DB2 table (stage) to another DB2 table target
call SYSPROC.ADMIN_CMD('LOAD FROM (SELECT * FROM stage_table )
OF CURSOR INSERT INTO target_table NONRECOVERABLE INDEXING MODE INCREMENTAL ALLOW READ ACCESS')
As per IBM documentation , ALLOW READ ACCESS is going to be deprecated suggested to use INGEST method instead of that
https://www.ibm.com/docs/en/db2/10.1.0?topic=functionality-fp1-allow-read-access-parameter-load-command
Question:
How to use INGEST method to load data from DB2 to DB2 tables ?
what would be other alternatives to load millions of records with improved performance.
I use Azure SQL DB (Single DB, Basic, DTU, Provisioned).
There are two different DBs, say, DB-1 and DB-2.
For DB-1, I have Admin access.
For DB-2, I have read-only access. (No access to create new table.)
The two DBs have no links. I access them using SSMS.
The requirement:
In DB-2, there is a table [EMP] with 1000 rows.
Only 250 of them to be exported and inserted into a new table in DB-1 (with all columns).
How can I achieve in SSMS?
Thanks in advance!
There is no way to do this in only SSMS. If this is an ad-hoc project, I would query the records, copy and paste them into Excel, configure them in Excel for an insert statement, then paste them into an insert statement against DB-1.
If this is something that will need to be sustainable, I'd recommend looking into Azure Data Factory.
In airflow, we can export databases like postgres, MySQL and etc to GCS. they have an option called schema file where the SCHEMA of the source table will be exported as a JSON file, and we can use it for creating the table on bigquery.
But unfortunately, we can export the schema file with select * from table; (or we can reduce the rows with select * from table limit 1). It will upload both the data and the schema files.
Is there a way to export only the schema file without data?
You can use INFORMATION_SCHEMA to pull the schema/metadata/columns from your table.
For example:
SELECT
*
FROM
`bigquery-public-data`.census_bureau_usa.INFORMATION_SCHEMA.COLUMNS
WHERE
table_name="population_by_zip_2010"
See here.
I tried searching for it but couldn't find out
What is the best way to copy data from Redshift to Postgresql Database ?
using Talend job/any other tool/code ,etc
anyhow i want to transfer data from Redshift to PostgreSQL database
also,you can use any third party database tool if it has similar kind of functionality.
Also,as far as I know,we can do so using AWS Data Migration Service,but not sure our source db and destination db matches that criteria or not
Can anyone please suggest something better ?
The way I do it is with a Postgres Foreign Data Wrapper and dblink,
This way, the redshift table is available directly within Postgres.
Follow the instructions here to set it up https://aws.amazon.com/blogs/big-data/join-amazon-redshift-and-amazon-rds-postgresql-with-dblink/
The important part of that link is this code:
CREATE EXTENSION postgres_fdw;
CREATE EXTENSION dblink;
CREATE SERVER foreign_server
FOREIGN DATA WRAPPER postgres_fdw
OPTIONS (host '<amazon_redshift _ip>', port '<port>', dbname '<database_name>', sslmode 'require');
CREATE USER MAPPING FOR <rds_postgresql_username>
SERVER foreign_server
OPTIONS (user '<amazon_redshift_username>', password '<password>');
For my use case I then set up a postgres materialised view with indexes based upon that.
create materialized view if not exists your_new_view as
SELECT some,
columns,
etc
FROM dblink('foreign_server'::text, '
<the redshift sql>
'::text) t1(some bigint, columns bigint, etc character varying(50));
create unique index if not exists index1
on your_new_view (some);
create index if not exists index2
on your_new_view (columns);
Then on a regular basis I run (on postgres)
REFRESH MATERIALIZED VIEW your_new_view;
or
REFRESH MATERIALIZED VIEW CONCURRENTLY your_new_view;
In the past, I managed to transfer data from one PostgreSQL database to another by doing a pg_dump and piping the output as an SQL command to the second instance.
Amazon Redshift is based on PostgreSQL, so this method should work, too.
You can control whether pg_dump should include the DDL to create tables, or whether it should just load the data (--data-only).
See: PostgreSQL: Documentation: 8.0: pg_dump
I have 2 exactly same databases on 2 different machines(with different data that is), and I want to transfer contents of one table to the table from the other database, how do I do that from PgAdmin? I'm new to PostgreSQL Database, I'd do that easily with mysql phpmyadmin just export sql and I'd get text file with bunch of insert into statements, is there equivalent with PgAdmin ?
Yes, backup using "PLAIN" format (SQL statements) and then (when connected to the other DB) open the file and run it.
Or you could select "COMPRESS" format in the "backup" dialogue, and then you could use the restore dialogue.
Also there's an equivalent of phpMyAdmin for Postgres, called "phppgadmin". Select the table in question and then use the "Export" tab.
pg_dump from the command line