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This reverts commit 8be688648d
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Co-authored-by: Liam Thompson <32779855+leemthompo@users.noreply.github.com>
Co-authored-by: Liam Thompson <leemthompo@gmail.com>
Co-authored-by: Martijn Laarman <Mpdreamz@gmail.com>
Co-authored-by: István Zoltán Szabó <szabosteve@gmail.com>
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Implicit casting |
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{{esql}} implicit casting [esql-implicit-casting]
Often users will input date
, date_period
, time_duration
, ip
or version
as simple strings in their queries for use in predicates, functions, or expressions. {{esql}} provides type conversion functions to explicitly convert these strings into the desired data types.
Without implicit casting users must explicitly code these to_X
functions in their queries, when string literals don’t match the target data types they are assigned or compared to. Here is an example of using to_datetime
to explicitly perform a data type conversion.
FROM employees
| EVAL dd_ns1=date_diff("day", to_datetime("2023-12-02T11:00:00.00Z"), birth_date)
| SORT emp_no
| KEEP dd_ns1
| LIMIT 1
Implicit casting example [esql-implicit-casting-example]
Implicit casting automatically converts string literals to the target data type. This allows users to specify string values for types like date
, date_period
, time_duration
, ip
and version
in their queries.
The first query can be coded without calling the to_datetime
function, as follows:
FROM employees
| EVAL dd_ns1=date_diff("day", "2023-12-02T11:00:00.00Z", birth_date)
| SORT emp_no
| KEEP dd_ns1
| LIMIT 1
Operations that support implicit casting [esql-implicit-casting-supported-operations]
The following table details which {{esql}} operations support implicit casting for different data types.
ScalarFunctions | Operators | GroupingFunctions | AggregateFunctions | |
---|---|---|---|---|
DATE | Y | Y | Y | N |
DATE_PERIOD/TIME_DURATION | Y | N | Y | N |
IP | Y | Y | Y | N |
VERSION | Y | Y | Y | N |
BOOLEAN | Y | Y | Y | N |
ScalarFunctions includes:
Operators includes: