LATEST ON keyword
Retrieves the latest entry by timestamp for a given key or combination of keys, for scenarios where multiple time series are stored in the same table.
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Syntaxwhere:
columnName
used in theLATEST ON
part of the clause is aTIMESTAMP
column.columnName
list used in thePARTITION BY
part of the clause is a list of columns of one of the following types:SYMBOL
,STRING
,BOOLEAN
,SHORT
,INT
,LONG
,LONG256
,CHAR
.
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DescriptionLATEST ON
is used as part of a SELECT statement
for returning the most recent records per unique time series identified by the
PARTITION BY
column values. This function requires a
designated timestamp.
note
To use LATEST ON
, a timestamp column used in the LATEST ON
part needs to be
specified as a designated timestamp. More information can be found in the
designated timestamp page for specifying
this at table creation or at query time.
To illustrate how LATEST ON
is intended to be used, consider the trips
table
in the QuestDB demo instance. This table has a
payment_type
column as SYMBOL
type which specifies the method of payment per
trip. We can find the most recent trip for each unique method of payment with
the following query:
payment_type | pickup_datetime | trip_distance |
---|---|---|
Dispute | 2014-12-31T23:55:27.000000Z | 1.2 |
Voided | 2019-06-27T17:56:45.000000Z | 1.9 |
Unknown | 2019-06-30T23:57:42.000000Z | 3.9 |
No Charge | 2019-06-30T23:59:30.000000Z | 5.2 |
Cash | 2019-06-30T23:59:54.000000Z | 2 |
Card | 2019-06-30T23:59:56.000000Z | 1 |
The above query returns the latest value within each time series stored in the
table. Those time series are determined based on the values in the column(s)
specified in the PARTITION BY
part of the LATEST ON
clause. In our example
those time series are represented by different payment types. Then the column
used in the LATEST ON
part of the clause stands for the designated timestamp
column for the table. This allows the database to find the latest value within
each time series.
The below sections will demonstrate other ways to use the LATEST ON
clause.
You can also write this query with the old syntax:
note
The old LATEST BY
syntax is deprecated and will be removed soon. While it's still supported
by the database, you should use the new LATEST ON PARTITION BY
syntax in your
applications. There are two key requirements when using the new syntax:
- A timestamp column must always be specified
LATEST ON
has to follow theWHERE
clause. In the old syntax, it was vice versa.
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ExamplesFor the next examples, we can create a table called balances
with the
following SQL:
This provides us with a table with the following content:
cust_id | balance_ccy | balance | ts |
---|---|---|---|
1 | USD | 600.5 | 2020-04-21T16:01:22.104234Z |
2 | USD | 950 | 2020-04-21T16:03:43.504432Z |
2 | EUR | 780.2 | 2020-04-21T16:08:34.404665Z |
1 | USD | 1500 | 2020-04-21T16:11:22.704665Z |
1 | EUR | 650.5 | 2020-04-22T16:11:32.904234Z |
2 | USD | 900.75 | 2020-04-22T16:12:43.504432Z |
2 | EUR | 880.2 | 2020-04-22T16:18:34.404665Z |
1 | USD | 330.5 | 2020-04-22T16:20:14.404997Z |
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Single columnWhen LATEST ON
is provided a single column of the type SYMBOL
, the query
will end after all distinct symbol values are found.
The query returns two rows with the most recent records per unique cust_id
value:
cust_id | balance_ccy | balance | ts |
---|---|---|---|
2 | EUR | 880.2 | 2020-04-22T16:18:34.404665Z |
1 | USD | 330.5 | 2020-04-22T16:20:14.404997Z |
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Multiple columnsWhen multiple columns are specified in LATEST ON
queries, the returned results
are the most recent unique combinations of the column values. This example
query returns LATEST ON
customer ID and balance currency:
The results return the most recent records for each unique combination of
cust_id
and balance_ccy
.
cust_id | balance_ccy | balance | inactive | ts |
---|---|---|---|---|
1 | EUR | 650.5 | FALSE | 2020-04-22T16:11:32.904234Z |
2 | USD | 900.75 | FALSE | 2020-04-22T16:12:43.504432Z |
2 | EUR | 880.2 | FALSE | 2020-04-22T16:18:34.404665Z |
1 | USD | 330.5 | FALSE | 2020-04-22T16:20:14.404997Z |
info
For a single SYMBOL
column, QuestDB will know all distinct values upfront and
stop scanning table contents once the latest entry has been found for each
distinct symbol value. When LATEST ON
is provided multiple columns, QuestDB
has to scan the entire table to find distinct combinations of column values.
Although scanning is fast, performance will degrade on hundreds of millions of
records. If there are multiple columns in the LATEST ON
clause, this will
result in a full table scan.
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LATEST ON over sub-queryFor this example, we can create another table called unordered_balances
with
the following SQL:
Note that this table doesn't have a designated timestamp column and also
contains time series that are unordered by ts
column.
Due to the absent designated timestamp column, we can't use LATEST ON
directly
on this table, but it's possible to use LATEST ON
over a sub-query:
Just like with the balances
table, the query returns two rows with the most
recent records per unique cust_id
value:
cust_id | balance_ccy | balance | ts |
---|---|---|---|
2 | EUR | 880.2 | 2020-04-22T16:18:34.404665Z |
1 | USD | 330.5 | 2020-04-22T16:20:14.404997Z |
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Execution orderThe following queries illustrate how to change the execution order in a query by using brackets.
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WHERE firstThis query executes WHERE
before LATEST ON
and returns the most recent
balance which is above 800. The execution order is as follows:
- filter out all balances below 800
- find the latest balance by
cust_id
cust_id | balance_ccy | balance | ts |
---|---|---|---|
1 | USD | 1500 | 2020-04-22T16:11:22.704665Z |
2 | EUR | 880.2 | 2020-04-22T16:18:34.404665Z |
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LATEST ON firstThis query executes LATEST ON
before WHERE
and returns the most recent
records, then filters out those below 800. The steps are:
- Find the latest balances by customer ID.
- Filter out balances below 800. Since the latest balance for customer 1 is equal to 330.5, it is filtered out in this step.
cust_id | balance_ccy | balance | inactive | ts |
---|---|---|---|---|
2 | EUR | 880.2 | FALSE | 2020-04-22T16:18:34.404665Z |
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CombinationIt's possible to combine a time-based filter with the balance filter from the
previous example to query the latest values for the 2020-04-21
date and filter
out those below 800.
Since QuestDB allows you to omit the SELECT * FROM
part of the query, we
omitted it to keep the query compact.
Such a combination is very powerful since it allows you to find the latest values for a time-slice of the data and then apply a filter to them in a single query.