List partitioning helps organize data into smaller parts based on categories. This makes searching and managing data faster and easier.
List partitioning by category in PostgreSQL
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CREATE TABLE parent_table ( id SERIAL PRIMARY KEY, category TEXT NOT NULL, data TEXT ) PARTITION BY LIST (category); CREATE TABLE partition_name PARTITION OF parent_table FOR VALUES IN ('category_value1', 'category_value2');
The parent table holds the structure but no data directly.
Each partition stores rows for specific category values.
CREATE TABLE products ( product_id SERIAL PRIMARY KEY, category TEXT NOT NULL, name TEXT ) PARTITION BY LIST (category); CREATE TABLE products_electronics PARTITION OF products FOR VALUES IN ('Electronics'); CREATE TABLE products_clothing PARTITION OF products FOR VALUES IN ('Clothing');
CREATE TABLE orders ( order_id SERIAL PRIMARY KEY, status TEXT NOT NULL, amount NUMERIC ) PARTITION BY LIST (status); CREATE TABLE orders_pending PARTITION OF orders FOR VALUES IN ('Pending'); CREATE TABLE orders_completed PARTITION OF orders FOR VALUES IN ('Completed');
This program creates a customer_data table partitioned by region with USA and Europe partitions. It inserts three customers and selects all rows ordered by ID.
CREATE TABLE customer_data ( customer_id SERIAL PRIMARY KEY, region TEXT NOT NULL, name TEXT ) PARTITION BY LIST (region); CREATE TABLE customer_data_usa PARTITION OF customer_data FOR VALUES IN ('USA'); CREATE TABLE customer_data_europe PARTITION OF customer_data FOR VALUES IN ('Europe'); INSERT INTO customer_data (region, name) VALUES ('USA', 'Alice'), ('Europe', 'Bob'), ('USA', 'Charlie'); SELECT * FROM customer_data ORDER BY customer_id;
List partitioning improves query speed by limiting search to relevant partitions.
Each partition is a separate table storing only rows for its category values.
Be careful to include all possible category values in partitions to avoid errors.
List partitioning splits a table into parts based on category values.
It helps organize data and speeds up queries by focusing on relevant partitions.
Each partition holds rows for specific category values defined in the parent table.
Practice
Solution
Step 1: Understand list partitioning concept
List partitioning divides a table into smaller parts based on specific category values.Step 2: Identify the main purpose
This helps organize data and speeds up queries by focusing on relevant partitions.Final Answer:
To split a table into parts based on specific category values -> Option AQuick Check:
List partitioning = split by category [OK]
- Confusing list partitioning with table joins
- Thinking it encrypts data
- Assuming it merges tables
Solution
Step 1: Identify partition type syntax
List partitioning uses PARTITION BY LIST in PostgreSQL.Step 2: Match correct syntax
Only CREATE TABLE sales PARTITION BY LIST (category); uses PARTITION BY LIST with the column name correctly.Final Answer:
CREATE TABLE sales PARTITION BY LIST (category); -> Option DQuick Check:
List partitioning syntax = PARTITION BY LIST [OK]
- Using PARTITION BY RANGE instead of LIST
- Using PARTITION BY HASH incorrectly
- Using non-existent PARTITION BY GROUP
CREATE TABLE products (
id SERIAL PRIMARY KEY,
name TEXT,
category TEXT
) PARTITION BY LIST (category);
CREATE TABLE products_electronics PARTITION OF products FOR VALUES IN ('electronics');
CREATE TABLE products_clothing PARTITION OF products FOR VALUES IN ('clothing');
INSERT INTO products (name, category) VALUES ('Phone', 'electronics'), ('Shirt', 'clothing');
SELECT * FROM products WHERE category = 'electronics';What will the SELECT query return?
Solution
Step 1: Understand partition filtering
Query filters category = 'electronics', so only that partition is scanned.Step 2: Check inserted data
Only 'Phone' has category 'electronics', so only that row is returned.Final Answer:
Only rows where category is 'electronics', here the 'Phone' row -> Option CQuick Check:
Partition filter returns matching rows [OK]
- Expecting all rows without filter
- Thinking query causes error
- Assuming partitions must be queried separately
CREATE TABLE orders (
id SERIAL PRIMARY KEY,
product TEXT,
category TEXT
) PARTITION BY LIST (category);
CREATE TABLE orders_electronics PARTITION OF orders FOR VALUES IN ('electronics', 'gadgets');What is the error in this partition definition?
Solution
Step 1: Check FOR VALUES IN syntax
FOR VALUES IN expects a list of values as separate strings, e.g. ('electronics', 'gadgets').Step 2: Identify error in given code
The code uses multiple values in one partition which is not allowed in PostgreSQL list partitioning.Final Answer:
Partitions cannot have multiple values in FOR VALUES IN clause -> Option BQuick Check:
Each partition must have exactly one value [OK]
- Using one string with commas inside
- Misnaming partition tables
- Thinking LIST partitioning is not allowed
events by event_type with partitions for 'login', 'logout', and 'purchase'. Which of the following is the correct way to create the partitions and insert a new 'purchase' event?Solution
Step 1: Choose correct partition type and syntax
List partitioning by event_type requires PARTITION BY LIST and partitions with FOR VALUES IN for each category.Step 2: Verify partitions and insert
CREATE TABLE events PARTITION BY LIST (event_type); CREATE TABLE events_login PARTITION OF events FOR VALUES IN ('login'); CREATE TABLE events_logout PARTITION OF events FOR VALUES IN ('logout'); CREATE TABLE events_purchase PARTITION OF events FOR VALUES IN ('purchase'); INSERT INTO events (event_type) VALUES ('purchase'); correctly creates partitions for 'login', 'logout', and 'purchase' and inserts a 'purchase' event into the parent table.Final Answer:
Option A with correct list partitions and insert -> Option AQuick Check:
List partitions per category + insert into parent [OK]
- Using RANGE or HASH instead of LIST
- Creating one partition for all values
- Inserting into partitions directly instead of parent
