QuestDB attempts to implement standard ANSI SQL. We also attempt to be PostgreSQL compatible, although some of it is work in progress. This page presents the main extensions we bring to SQL and the main differences that one might find in SQL but not in QuestDB’s dialect.
SQL extensions
We have extended SQL language to support our data storage model and simplify semantics of time series queries.
LATEST BY
LATEST BY is a clause introduced to help perform UPDATE and DELETE operations within an append-only framework.
SAMPLE BY
SAMPLE BY for time based aggregations with an efficient syntax. The short query below will return the simple average balance from a list of accounts by one month buckets.
select avg(balance) from accounts sample by 1M
Timestamp search
Timestamp search can be performed with regular operators, e.g >
, <=
etc. However, QuestDB provides a native notation which is faster and less verbose.
Differences from standard SQL
Optionality of SELECT * FROM
In QuestDB select * from
is optional. So SELECT * FROM tab;
achieves the same effect as tab;
While select * from
makes SQL look more complete, there are examples where its optionality makes things a lot easier to read.
Optionality of GROUP BY
The GROUP BY
clause is optional and can be omitted as the QuestDB optimiser derives group-by implementation from SELECT
clause.
In standard SQL, users might write a query like the below.
SELECT a, b, c, d, sum(e) FROM tab GROUP BY a, b, c, d;
However, enumerating subset of SELECT
columns in the GROUP BY
clause redundant and therefore unnecessary. The same SQL in QuestDB SQL-dialect can be written as:
SELECT a, b, c, d, sum(e) FROM tab;
Implicit HAVING
Let’s look at another more complex example using HAVING in standard SQL.
SELECT a, b, c, d, sum(e)
FROM tab
GROUP BY a, b, c, d
HAVING sum(e) > 100;
In QuestDB’s dialect, select * from
optionality and featherweight sub-queries come to the rescue to create a smaller, more readable query, without unnecessary repetitive aggregations. HAVING
functionality can be obtained implicitly as follows:
(SELECT a, b, c, d, sum(e) s FROM tab) WHERE s > 100;