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Learn how to query Pinot using SQL |
Pinot uses the Calcite SQL parser to parse queries and uses MYSQL_ANSI dialect. You can see the grammar in the Calcite documentation.
Pinot does not support joins or nested subqueries. We recommend using Presto for queries that span multiple tables. For more information, see Engineering Full SQL support for Pinot at Uber.
There is no DDL support. Tables can be created via the REST API.
In Pinot SQL:
- Double quotes(") are used to force string identifiers, e.g. column names
- Single quotes(') are used to enclose string literals. If the string literal also contains a single quote, escape this with a single quote e.g
'''Pinot'''
to match the string literal'Pinot'
Mis-using those might cause unexpected query results:
e.g.
WHERE a='b'
means the predicate on the columna
equals to a string literal value'b'
WHERE a="b"
means the predicate on the columna
equals to the value of the columnb
If your column names use reserved keywords (e.g. timestamp
or date
) or special charactesr, you will need to use double quotes when referring to them in queries.
//default to limit 10
SELECT *
FROM myTable
SELECT *
FROM myTable
LIMIT 100
SELECT "date", "timestamp"
FROM myTable
SELECT COUNT(*), MAX(foo), SUM(bar)
FROM myTable
SELECT MIN(foo), MAX(foo), SUM(foo), AVG(foo), bar, baz
FROM myTable
GROUP BY bar, baz
LIMIT 50
SELECT MIN(foo), MAX(foo), SUM(foo), AVG(foo), bar, baz
FROM myTable
GROUP BY bar, baz
ORDER BY bar, MAX(foo) DESC
LIMIT 50
SELECT COUNT(*)
FROM myTable
WHERE foo = 'foo'
AND bar BETWEEN 1 AND 20
OR (baz < 42 AND quux IN ('hello', 'goodbye') AND quuux NOT IN (42, 69))
For performant filtering of ids in a list, see Filtering with IdSet.
SELECT COUNT(*)
FROM myTable
WHERE foo IS NOT NULL
AND foo = 'foo'
AND bar BETWEEN 1 AND 20
OR (baz < 42 AND quux IN ('hello', 'goodbye') AND quuux NOT IN (42, 69))
SELECT *
FROM myTable
WHERE quux < 5
LIMIT 50
SELECT foo, bar
FROM myTable
WHERE baz > 20
ORDER BY bar DESC
LIMIT 100
Results might not be consistent if the order by column has the same value in multiple rows.
SELECT foo, bar
FROM myTable
WHERE baz > 20
ORDER BY bar DESC
LIMIT 50, 100
To count rows where the column airlineName
starts with U
SELECT COUNT(*)
FROM myTable
WHERE REGEXP_LIKE(airlineName, '^U.*')
GROUP BY airlineName LIMIT 10
Pinot supports the CASE-WHEN-ELSE statement.
Example 1:
SELECT
CASE
WHEN price > 30 THEN 3
WHEN price > 20 THEN 2
WHEN price > 10 THEN 1
ELSE 0
END AS price_category
FROM myTable
Example 2:
SELECT
SUM(
CASE
WHEN price > 30 THEN 30
WHEN price > 20 THEN 20
WHEN price > 10 THEN 10
ELSE 0
END) AS total_cost
FROM myTable
Functions have to be implemented within Pinot. Injecting functions is not yet supported. The example below demonstrate the use of UDFs.
SELECT COUNT(*)
FROM myTable
GROUP BY DATETIMECONVERT(timeColumnName, '1:MILLISECONDS:EPOCH', '1:HOURS:EPOCH', '1:HOURS')
For more examples, see Transform Function in Aggregation Grouping.
Pinot supports queries on BYTES column using HEX string. The query response also uses HEX string to represent bytes values.
e.g. the query below fetches all the rows for a given UID.
SELECT *
FROM myTable
WHERE UID = 'c8b3bce0b378fc5ce8067fc271a34892'