Concatenate multiple rows in an array with SQL on PostgreSQL
Instantly merge multiple row values into an array with the array_agg
function. It's like your data is going on a reunion and array_agg
is the bus driver:
And if you want to have them grouped with a tie-breaker—a key column—no worries:
And here's how you can get your grouped data sorted like star students on result day:
The Inner Workings of array_agg and Data Types
It's essential to understand that array_agg
acts like that kid in class who collects everyone's homework. It takes in the values and assembles a nice array. However, be careful with the data types that you're trying to aggregate. Mixing apples with oranges isn't a good idea—even in data aggregation.
Alongside array_agg
, consider using generate_series
when the wind of randomness blows in your data. It's like having your own bucket list, but for order:
Here, each data row gets an orderly queue ticket and they're guaranteed to be on the array_agg
bus in the right sequence.
Craft Your Concatenation Strategy Like a Pro
Sometimes you may encounter a situation where array_agg
just doesn't cut it. This can be a great opportunity to show off your skills. With your very own, homemade, custom aggregate function, you can append elements in a way that array_agg
can only dream of. Roll up your sleeves, let's get started:
You've added another tool in your toolbelt. Now go on and test drive this baby with your data. Error handling isn't just a phrase in your job description — it comes in handy in the wild.
Setting Up Your Sorting and Error Traps
While sorting your array_agg, adding an identifier is like putting name tags on your data. And if you're keen on having your results in order, be sure to call out to your primary_key in the ORDER BY outside the array_agg
:
array_agg: Your Pocket Tool
array_agg
has been around since PostgreSQL 8.4.8, and it became a crowd favourite for pulling a rabbit out of the hat efficiently. There are others like string_agg
or manual concatenation methods, but array_agg
has earned a place in Postgres users' hearts.
Troubleshooting Your Query
Working with array_agg
can be smooth sailing, but remember that array_agg
just doesn't like dealing with NULL values. So remember kiddos, NULLs are just the invisible potato salads. Having Cape of Visibility (IS NOT NULL condition
) is handy here.
And when using generate_series
, make sure the generated series doesn't jack up your query with unintended ordering or gaps.
Was this article helpful?