This article explains the snowflake cloning introduction and zero-copy clone snowflake, their benefits, and how to use them. This topic discusses important things on how to use zero-copy cloning with a snowflake's ability to travel through time at table levels. We will also give some things to consider when cloning particular snowflake objects. This information will give you a good understanding of snowflakes' most important characteristics.
Snowflake is a major cloud-computing data warehousing firm that will play an important part in the development of artificial intelligence.
Snowflake is a business solution that helps companies establish and run a system without substantially relying on DBAs.
Snowflake offers data analysis, collecting, and analytics solutions that are substantially quicker, easier to use, and more versatile than the standard systems used up until now. In addition to helping with other things, it is helpful for advanced analytics, business intelligence, systems integration, and security and governance.
Snowflake cloning reproduces data from a schema, database, or table without the need for additional storage or long waiting periods. In most organizations, real-time data must be copied from production to development or staging environments to change the object with exact results. We no longer have to sit for long periods to enjoy the environment.
Snowflake Cloning is significantly faster than any other database for cloning. Depending on the source objects, replication takes only a few minutes.
The cloned object can be written to and is separate from the source of the clone. Changes made to the original object or the copy don't affect the other.
When a table is cloned, its data, structure, and other characteristics are copied. The original table's load history is not preserved in cloned tables. Suppose a data file was successfully loaded into the original table. In that case, it could be loaded into a table copy.
Some of the most advanced features of snowflakes, such as time travel and zero-copy cloning, simplify life for us. The clone command makes it simple to create duplicates of a database or table without manually copying all associated metadata, primary keys, or schema. We may replicate the entire database with a single operation, including its metadata and structure. It's helpful during development when we need to replicate a database or table quickly.
Example of Cloning in Snowflake
The following script should run entirely if you copy and paste it into the Worksheet in the Snowflake online interface:
The following script should run entirely if you copy and paste it into the Worksheet in the Snowflake online interface:
-- Cloning Tables
-- Create a sample table
CREATE OR REPLACE TABLE demo_db.public.employees
(emp_id number,
first_name varchar,
last_name varchar
);
-- Populate the table with some seed records.
Insert into demo_db.public.employees
values(100,'John','Smith'),
(200,'Sam','White'),
(300,'Bob','Jones'),
(400,'Linda','Carter');
-- Show the content of the table employees in the demo_db database and the public schema
select * from demo_db.public.employees;
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One of the many benefits of using a snowflake database is the ability to go back in travel time and retrieve previously modified or deleted data.
Suppose a table or part of its entries were deleted inadvertently. In that case, you could get them back within the table's configured time-travel period. It can be done using the AT or BEFORE clauses, which allow for reference timestamps, offsets from the current time, or statement IDs.
Below is the syntax to use Time Travel to clone a table
CREATE [ OR REPLACE ] { DATABASE | SCHEMA | TABLE | STREAM } [ IF NOT EXISTS ] <object_name>
CLONE <source_object_name>
[ { AT | BEFORE } ( { TIMESTAMP => <timestamp> | OFFSET => <time_difference> | STATEMENT => <id> } ) ]
This feature allows you to clone a table precisely as it existed at a given time or a short while/hours ago.
Here are a few examples of using time travel to duplicate tables in Snowflake:
CREATE TABLE EMPLOYEE_CLONE CLONE EMPLOYEE
AT(OFFSET => -60*5);
CREATE TABLE EMPLOYEE_CLONE CLONE EMPLOYEE
AT(TIMESTAMP => 'SUN, 06 MAR 2022 13:45:00 +0530'::TIMESTAMP_TZ);
Considerations Of Snowflake Cloning with Time Travel
There are four primary considerations to make when cloning with time travel:
Related Article: Snowflake Tutorial |
The cloning process can produce a database copy called "zero-copy cloning."
When an object is cloned, it receives a copy of all the information previously stored in the original object. As a result of the cloning process, the copied object can be updated independently of the original. To put it another way, if you make changes to either the original object or the clone, you won't see those changes reflected in the other. Through zero-copy cloning, Snowflake makes it simple to make backup copies of your data without increasing your storage needs or requiring you to wait for extended periods.
Snowflake's ability for zero-copy cloning is an outstanding feature. It is the ability to make many copies of something without making a new physical copy or requiring more space to store them. Since expenditures are reduced without restriction, significantly more liberty is available in the setting.
Cloned objects are separate from the original table; thus, we can update them without affecting the original table. However, making a copy of any object won't cost us anything and is economical. All metadata is simple to copy, and storage management is enhanced.
Purpose
Any database or table cloning serves the same purpose as establishing a backup for development and functions as time travel allows us to restore data.
Command
CREATE TABLE <table_name>
CLONE <source_table_name>
To clone an item, you must have the most basic permissions possible. Your current role ought to have the appropriate permissions on the source object to be able to create a clone of it:
A Snowflake table's data is automatically partitioned into micro-partitions, the minor persistent storage units. Uncompressed data ranges from 50 MB to 500 MB across all micro partitions.
Note: Snowflake's actual size is smaller because data is always saved and compressed. All Snowflake tables undergo this micro-partitioning procedure automatically.
In Snowflake, the clone can be duplicated an infinite number of times, and each copy will have access to both shared and dedicated storage. Snowflake assigns a unique identifier (ID) to each table in the database. A similar CLONE GROUP ID that reflects cloning status is assigned to each table. The table is a clone if the IDs in both columns are unique. The Account Admin role is required to access the TABLE STORAGE METRICS view.
When you use the Clone database command, the following occurs:
In place of creating duplicate micro-partitions when cloning an object database, Snowflake instead creates new metadata that refers back to the original object's micro-partitions. Zero-copy cloning describes this process. Due to Snowflake's cloud services layer, the user is not required to perform any of these actions.
Related Article: Snowflake Architecture |
The Zero Copy Clone Snowflake has many benefits, some of which are as follows:
Cloning objects in Snowflake is accessible and can be done with the help of the simple SQL statement displayed below.
CREATE <object_type> <object_name>
CLONE <source_object_name>
The version presented above is an abridged version. The following is an example of the full syntax that must be used to clone a Snowflake object.
CREATE [ OR REPLACE ] { DATABASE | SCHEMA | TABLE | STREAM | STAGE | FILE FORMAT | SEQUENCE | TASK } [ IF NOT EXISTS ] <object_name>
CLONE <source_object_name>
With the above statements, a copy of a source object will be made into a new object. Even though the cloned object's metadata and the data it holds are the same as the source object's, each object has its life cycle and is separate from the other.
When any internal stage is cloned (typically an internal table stage), it is critical to remember that this stage will be empty. Similarly, cloned streams will be empty by default, and cloned pipes and jobs will be paused. Some Snowflake objects have child objects, such as a database with schemas containing tables containing table stages.
A pipe is an example of a child that an object could produce. A pipe that loads data into one of a schema's tables would be an example of something that might be included in a schema. The behavior of the pipe determines whether or not a child pipe is copied along with its parent pipe during a clone operation. Whether or not the pipe refers to internally named stages is the specific factor determining this. Keep in mind that internally named stages are not duplicated in any way. It also applies to pipes that have their internal stages called internally. If a pipe, on the other hand, refers to external stages, then that will clone the pipe.
When a pipe is cloned, the operation will, by default, pause the pipe. It is done to prevent excessive data loading that is not essential, as a clone may not need additional data loading. In addition, this allows the user to verify that the pipe will carry out the intended operation. It is of utmost significance in situations where the pipe definition includes a specification of either the complete namespace or the schema. These will be kept up to date so that data may load incorrectly.
Children of a cloned item will typically also be clones. This regulation has the following exceptions:
Internal table stages, which are cloned along with their parent table, are not to be confused with these.
Before learning how to clone an object, you must determine which objects can be cloned and any limits. At the time of writing, this is a list of all cloneable objects.
Snowflake's Cloning Documentation has an up-to-date list:
Data Storage Objects such as
Data Configuration Objects:
The cloning functionality for each category influences how the tasks are categorized and organized into groups.
There are many reasons to copy an item in Snowflake or any other Data Warehouse. Most cloning happens because of one of these three things
The Zero Copy Clone Snowflake functionality has been detailed in this article. It is one of the most beautiful snowflake features. Because copying entire databases for testing is simple, you may quickly accumulate hundreds of terabytes of redundant storage. You can discover and remove this storage if the Snowflake administrators know the underlying mechanism. Database cloning is basic and straightforward. Cloning can not only save you time, but it will also save you a lot of money!
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Madhuri is a Senior Content Creator at MindMajix. She has written about a range of different topics on various technologies, which include, Splunk, Tensorflow, Selenium, and CEH. She spends most of her time researching on technology, and startups. Connect with her via LinkedIn and Twitter .
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