Database type and internal DataLens On-premises type mapping table
When you create a dataset, DataLens converts the source data to its own type for streamlined data processing.
This helps DataLens unify the operations with data from different sources.
The table below shows how data types of different databases and DataLens internal data types map.
| DataLens | ClickHouse® | PostgreSQL | YDB |
|---|---|---|---|
| Boolean | boolean | boolean | boolean |
| Date | date | date | date date32 |
| Date and time | datetime | timestamp | datetime datetime64 timestamp timestamp64 |
| Fractional number | float float32 float64 decimal* |
real double precision numeric |
float double decimal* dynumber |
| Integer | integer int8 int16 int32 int64 uint8 uint16 uint32 uint64 |
smallint integer bigint |
int8 int16 int32 int64 uint8 uint16 uint32 uint64 interval interval64 |
| String | string enum8 enum16 |
char varchar text citext |
string utf8 |
| Geopoint | Set by a formula in DataLens | Set by a formula in DataLens | Set by a formula in DataLens |
| Geopolygon | Set by a formula in DataLens | Set by a formula in DataLens | Set by a formula in DataLens |
| Array of integers | Array(integer) Array(int8) Array(int16) Array(int32) Array(int64) Array(uint8) Array(uint16) Array(uint32) Array(uint64) |
Array(smallint) Array(integer) Array(bigint) |
Not supported: |
| Float array | Array(float32) Array(float64) |
Array(real) Array(double) Array(precision) Array(numeric) |
Not supported: |
| Array of strings | Array(string) | Array(char) Array(varchar) Array(text) |
Not supported: |
* There may be a loss of accuracy when converting data.
ClickHouse® is a registered trademark of ClickHouse, Inc.
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