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ARRAY_AGG in Snowflake - Examples & AI Generator
ARRAY_AGG in Snowflake - Examples & AI Generator
The ARRAY_AGG function in Snowflake is essential for transforming grouped SQL results into flexible array formats. Whether you need customer purchase lists or aggregated order IDs, mastering ARRAY_AGG can save hours—but remembering precise syntax across databases like Snowflake can be challenging. AI2sql streamlines this process: describe what you need, and get a production-ready ARRAY_AGG query in under 10 seconds, no coding required.
ARRAY_AGG Syntax in Snowflake
Basic Syntax
<expr>: Column to aggregate into an array
WITHIN GROUP: (Optional) Specifies array element order
DISTINCT: Eliminates duplicates within groups
Snowflake-Specific Notes
Returns a single ARRAY per group
Supports ordering and nesting for advanced cases
ARRAY_AGG Examples You Can Generate Instantly
1. Aggregate customer emails by country
2. List product names per order, ordered alphabetically
3. Collect unique employee roles for each department
Generate ARRAY_AGG queries in 10 seconds with AI2sql
Why Use AI2sql Instead of Manual ARRAY_AGG Coding
10x faster: Skip manual syntax checking—just describe your data need.
Zero coding required: No need to memorize Snowflake enhancements or differences.
Flexible output: Get ready-to-run queries for any aggregation scenario.
Trusted globally: Used by 50,000+ users in 80+ countries.
Try the AI2sql Generator for instant ARRAY_AGG query builds, or Learn ARRAY_AGG in detail.
FAQ: ARRAY_AGG in Snowflake
Can I use ARRAY_AGG with DISTINCT and ORDER BY together in Snowflake?
Yes. Combine both for deduplicated, ordered arrays:ARRAY_AGG(DISTINCT col WITHIN GROUP (ORDER BY col DESC))
.What data types does ARRAY_AGG support?
Any Snowflake-supported data types, including strings, numbers, and even complex objects.How does ARRAY_AGG differ from LISTAGG in Snowflake?
ARRAY_AGG returns arrays; LISTAGG returns concatenated strings.
Ready to accelerate your workflow? Generate Your First Query Now with AI2sql—no coding, instant results, always correct Snowflake syntax.
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