3 Commits (2025.08.04_metricsQuery)

Author	SHA1	Message	Date
Christian Haudum	4305a6aa61	chore(engine): Make literals simple types (#17733) ... Representing data types as simple types (string, int64, float64) makes them more efficient to cast without conversion. Signed-off-by: Christian Haudum <christian.haudum@gmail.com>	11 months ago
Christian Haudum	94b1d2d5ce	chore(engine): Improve type system of the new query engine (#17456) ... **What this PR does / why we need it**: The original type system for the new engine was introduced before adding Apache Arrow and with that an additional type system. One aspect of the new type system of this PR is that the logical types of the engine are aligned/interchangeable with the arrow logical types. ```go type Type uint8 const ( NULL = Type(arrow.NULL) BOOL = Type(arrow.BOOL) STRING = Type(arrow.STRING) INT64 = Type(arrow.INT64) FLOAT64 = Type(arrow.FLOAT64) ) ``` The actual data types of Loki (`Boolean`, `String`, `Integer`, `Float`, `Timestamp`, `Duration`, and `Bytes`) are implemented as wrapper around a logical type. Different data types can use the same logical type as representation, such as `Integer`, `Timestamp` and `Duration` both use `INT64`. Since Arrow array types are bound to logical types, and one logical type can have multiple Loki data types, it is required to "annotate" Fields of an arrow.Record using its Metadata, similar to how it is done for distinguishing builtin columns from label/metadata/parsed columns. Additionally, the PR contains a mapping between Loki types and Arrow types. The `Literal` has been updated to use the new types. The old system also used UINT64 as representation of the `Timestamp` type, which is incorrect, since both LogQL and the DataObjects allow timestamps before unix epoch. --- Signed-off-by: Christian Haudum <christian.haudum@gmail.com>	1 year ago
Owen Diehl	395030b130	feat(dataobj executor): project node (#17312)	1 year ago