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How to Generate Sequential Row Numbers in PostgreSQL Queries?

Susan Sarandon
Release: 2024-12-28 00:53:14
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How to Generate Sequential Row Numbers in PostgreSQL Queries?

Generating Sequential Row Numbers in PostgreSQL Queries

When working with PostgreSQL queries, it may be desirable to display the observation number for each record returned. In PostgreSQL 8.4 and later versions, this can be achieved using the powerful windowing function row_number().

Syntax:

To generate sequential row numbers, use the following syntax:

select row_number() over (order by <field> nulls last) as rownum, *
from <table_name>
order by <field>;
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Parameters:

  • : The field by which the rows should be ordered.
  • : The table from which the data is being selected.

Example:

To display the observation numbers for a table named foo_tbl ordered by the id field, use the following query:

select row_number() over (order by id nulls last) as rownum, *
from foo_tbl
order by id;
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Simplified Syntax:

If ordering is not necessary, the query can be simplified by omitting the order by clause:

select row_number() over(), *  -- no fields are needed
from foo_tbl;
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This will generate sequential row numbers without any specific ordering.

Proof of Concept:

The following SQL Fiddle proof of concept demonstrates the usage of the row_number() function to generate sequential row numbers:

import sqlalchemy

# Create a test table
engine = sqlalchemy.create_engine('postgresql://postgres:my_password@localhost:5432/test_db')
metadata = sqlalchemy.MetaData()
table = sqlalchemy.Table('test_table', metadata,
    sqlalchemy.Column('id', sqlalchemy.Integer, primary_key=True),
    sqlalchemy.Column('name', sqlalchemy.String(255)),
    sqlalchemy.Column('score', sqlalchemy.Float),
)
metadata.create_all(engine)

# Insert some data into the table
insert_data = [
    {'id': 1, 'name': 'John', 'score': 90},
    {'id': 2, 'name': 'Jane', 'score': 85},
    {'id': 3, 'name': 'Bob', 'score': 95},
]
insert = table.insert().values(insert_data)
engine.execute(insert)

# Query the table with row numbers
select_query = sqlalchemy.select([
    sqlalchemy.func.row_number().over().label('rownum'),
    table.c.id,
    table.c.name,
    table.c.score,
]).order_by(table.c.id)
results = engine.execute(select_query).fetchall()

# Print the results
for result in results:
    print(f"Row {result.rownum}: {result.id}, {result.name}, {result.score}")
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