Postgres functions
Summary: Postgres functions index for Neon, linking to individual guides for aggregate (array_agg, avg, count, max, sum), array, date/time, JSON and JSONB, math, string, and window functions. Use this page as the entry point to find the right built-in function guide rather than searching individual function pages.
Postgres functions
Section titled “Postgres functions”Get started with commonly-used Postgres functions with Neon's function guides. For other functions that Postgres supports, visit the official Postgres Functions and Operators documentation.
Aggregate functions
Section titled “Aggregate functions”- array_agg(): Aggregate elements into an array
- avg(): Calculate the average of a set of values
- count(): Count rows or non-null values in a result set
- max(): Find the maximum value in a set of values
- sum(): Calculate the sum of a set of values
Array functions
Section titled “Array functions”- array_length(): Determine the length of an array
Date / Time functions
Section titled “Date / Time functions”- age(): Calculate the difference between timestamps or between a timestamp and the current date/time
- current_timestamp: Get the current date and time
- date_trunc(): Truncate date/time values to a specified precision
- extract(): Extract date and time components from timestamps and intervals
- now(): Get the current date and time
JSON functions
Section titled “JSON functions”- array_to_json(): Convert an SQL array to a JSON array
- json(): Transform JSON data into relational views
- json_agg(): Aggregate values into a JSON array
- json_array_elements(): Expand a JSON array into a set of rows
- jsonb_array_elements(): Expand a JSONB array into a set of rows
- json_build_object(): Build a JSON object out of a variadic argument list
- json_each(): Expand JSON into a record per key-value pair
- json_exists(): Check for Values in JSON Data Using SQL/JSON Path Expressions
- json_extract_path(): Extract a JSON sub-object at the specified path
- json_extract_path_text(): Extract a JSON sub-object at the specified path as text
- json_object(): Create a JSON object from key-value pairs
- json_populate_record(): Cast a JSON object to a record
- json_query(): Extract and Transform JSON Values with SQL/JSON Path Expressions
- json_scalar(): Convert Text and Binary Data to JSON Values
- json_serialize(): Convert JSON Values to Text or Binary Format
- json_table(): Transform JSON data into relational views
- json_to_record(): Convert a JSON object to a record
- json_value(): Extract and Convert JSON Scalar Values
- jsonb_each(): Expand JSONB into a record per key-value pair
- jsonb_extract_path(): Extract a JSONB sub-object at the specified path
- jsonb_extract_path_text(): Extract a JSONB sub-object at the specified path as text
- jsonb_object(): Create a JSONB object from key-value pairs
- jsonb_populate_record(): Cast a JSONB object to a record
- jsonb_to_record(): Convert a JSONB object to a record
Mathematical functions
Section titled “Mathematical functions”- abs(): Calculate the absolute value of a number
- random(): Generate a random number between 0 and 1
- round(): Round numbers to a specified precision
String functions
Section titled “String functions”- concat(): Concatenate strings
- lower(): Convert a string to lowercase
- substring(): Extract a substring from a string
- regexp_match(): Extract substrings matching a regular expression pattern
- regexp_replace(): Replace substrings matching a regular expression pattern
- trim(): Remove leading and trailing characters from a string
Window functions
Section titled “Window functions”- dense_rank(): Return the rank of the current row without gaps
- lag(): Access values from previous rows in a result set
- lead(): Access values from subsequent rows in a result set
- rank(): Assign ranks to rows within a result set
Related docs (Postgres guides)
Section titled “Related docs (Postgres guides)”- Data types
- Indexes
- Optimize queries
- Query reference
- Postgres RLS
- Version support
- Upgrade
- Compatibility
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