Hive : Hive SNAPSHOT : An End-to-end guide with sample code

Hive @ Freshers.in

Hive SNAPSHOT is a powerful feature that enables users to take snapshots of tables in Hive at a specific point in time.In this article, we will provide an end-to-end guide on how to use Hive SNAPSHOT with the freshers_in_table.

Overview of Hive SNAPSHOT
Hive SNAPSHOT is a feature that allows users to create read-only copies of tables at a specific point in time. Snapshots can be used for various purposes such as backup, testing, or comparing data over time.

Implementing Hive SNAPSHOT with Prefix
Before getting started, ensure that you have:
– Installed and configured Apache Hive.
– Sufficient permissions to create tables and manage snapshots.

Creating Hive TablesĀ 

“`sql
CREATE TABLE freshers_in_table (
— specify column definitions here
)
STORED AS ORC;
“`

Taking a Snapshot
To take a snapshot of the `freshers_in_table`:

“`sql
SNAPSHOT freshers_in_table;
“`

This creates a read-only copy of the table as it existed at the time of the snapshot.

To query data from the snapshot table:

“`sql
SELECT * FROM freshers_in_table_snapshot;
“`

Sample Code
Here is a complete sample code snippet that demonstrates the usage of Hive SNAPSHOT with the `freshers_in_` prefix:

“`sql
— Set the fenceTokenPrefix to ‘freshers_in_’
SET fenceTokenPrefix = “freshers_in_”;

— Create a table with the ‘freshers_in_’ prefix
CREATE TABLE freshers_in_table (
— specify column definitions here
)
STORED AS ORC;

— Take a snapshot of the table
SNAPSHOT freshers_in_table;

— Query data from the snapshot table
SELECT * FROM freshers_in_table_snapshot;

Hive important pages to refer

  1. Hive
  2. Hive Interview Questions
  3. Hive Official Page
  4. Spark Examples
  5. PySpark Blogs
  6. Bigdata Blogs
  7. Spark Interview Questions
  8. Spark Official Page
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