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PostgreSQL Development Essentials

You're reading from   PostgreSQL Development Essentials Advanced querying, data modeling and performance tuning

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Product type Paperback
Published in Sep 2016
Publisher Packt
ISBN-13 9781783989003
Length 210 pages
Edition 1st Edition
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Author (1):
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Baji Shaik Baji Shaik
Author Profile Icon Baji Shaik
Baji Shaik
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Table of Contents (12) Chapters Close

Preface 1. Advanced SQL FREE CHAPTER 2. Data Manipulation 3. Triggers 4. Understanding Database Design Concepts 5. Transactions and Locking 6. Indexes and Constraints 7. Table Partitioning 8. Query Tuning and Optimization 9. PostgreSQL Extensions and Large Object Support 10. Using PHP in PostgreSQL 11. Using Java in PostgreSQL

Using binary large objects


What if someone wants to store a picture, Word document, or PDF, in a database? For this, PostgreSQL has a large object facility that provides stream-style access to user data, which is stored in a special large-object structure. Streaming access is useful when you are working with data values that are too large to manipulate conveniently as a whole.

The large object implementation breaks large objects into chunks and stores them in rows in the database. A B-tree index guarantees fast searches for the correct chunk number when doing random-access reads and writes.

How do we implement it? As this book is intended to teach you the basics, let's look at how to create/implement large objects:

Creating a large object

You can use the lo_creat function to create a large object. The syntax is as follows:

Oid lo_creat(PGconn *conn, int mode);

The return value is Oid.

Here's an example:

inv_oid = lo_creat(conn, INV_READ|INV_WRITE);

The Oid lo_create(PGconn *conn, Oid lobjId)...

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