Crate re_log_types

The different types that make up the rerun log format.

Feature flags

• serde — Enable (de)serialization using serde.

Mono-components

Some components, mostly transform related ones, are “mono-components”. This means that Rerun makes assumptions that depend on this component only taking on a singular value for all instances of an Entity. Where possible, exposed APIs will force these components to be logged as a singular instance or a splat. However, it is an error with undefined behavior to manually use lower-level APIs to log a batched mono-component.

This requirement is especially apparent with transforms: Each entity must have a unique transform chain, e.g. the entity foo/bar/baz is has the transform that is the product of foo.transform * foo/bar.transform * foo/bar/baz.transform.

Re-exports

• pub use self::arrow_msg::ArrowChunkReleaseCallback;
• pub use self::arrow_msg::ArrowMsg;
• pub use self::time_point::TimeInt;
• pub use self::time_point::TimePoint;
• pub use self::time_point::TimeType;
• pub use self::time_point::Timeline;
• pub use self::time_point::TimelineName;
• pub use self::path::*;

Modules

• arrow_msg
  ArrowMsg is the crate::LogMsg sub-type containing an Arrow payload.
• example_components
  Example components to be used for tests and docs
• external
• hash
• path
  Every logged entity in Rerun is logged to an EntityPath.
• time_point

Macros

• entity_path
  Build an EntityPath from parts that are not escaped:
• entity_path_vec
  Build a Vec<EntityPathPart>:
• impl_into_enum

Structs

• ApplicationId
  The user-chosen name of the application doing the logging.
• DataCell
  A cell’s worth of data, i.e. a uniform array of values for a given component type. This is the leaf type in our data model.
• DataCellColumn
  A column’s worth of DataCells: a sparse collection of DataCells that share the same underlying type and likely point to shared, contiguous memory.
• DataCellInner
  The actual contents of a DataCell.
• DataCellRow
  A row’s worth of DataCells: a collection of independent DataCells with different underlying datatypes and pointing to different parts of the heap.
• DataRow
  A row’s worth of data, i.e. an event: a list of DataCells associated with an auto-generated RowId, a user-specified TimePoint and EntityPath, and an expected number of instances. This is the middle layer in our data model.
• DataTable
  A sparse table’s worth of data, i.e. a batch of events: a collection of DataRows. This is the top-level layer in our data model.
• DataTableBatcher
  Implements an asynchronous batcher that coalesces DataRows into DataTables based upon the thresholds defined in the associated DataTableBatcherConfig.
• DataTableBatcherConfig
  Defines the different thresholds of the associated DataTableBatcher.
• Duration
  A signed duration represented as nanoseconds since unix epoch
• NumInstances
  Explicit number of instances in a crate::DataRow.
• PythonVersion
• RowId
  A unique ID for a DataRow.
• SetStoreInfo
• StoreId
  A unique id per store.
• StoreInfo
  Information about a recording or blueprint.
• TableId
  A unique ID for a DataTable.
• Time
  A date-time represented as nanoseconds since unix epoch
• TimeRange
• TimeRangeF
  Like TimeRange, but using TimeReal for improved precision.
• TimeReal
  Either nanoseconds or sequence numbers.

Enums

• DataCellError
• DataReadError
  An error that can occur because a row in the store has inconsistent columns.
• DataRowError
  A problem with a row of data in the store.
• DataTableBatcherError
  Errors that can occur when creating/manipulating a DataTableBatcher.
• DataTableError
• FileSource
• LogMsg
  The most general log message sent from the SDK to the server.
• StoreKind
  What kind of Store this is.
• StoreSource
  The source of a recording or blueprint.
• TimeZone

Constants

• METADATA_KIND
• METADATA_KIND_CONTROL
• METADATA_KIND_DATA

Traits

• VecDequeInsertionExt
  Extends VecDeque with extra insertion routines.
• VecDequeRemovalExt
  Extends VecDeque with extra removal routines.
• VecDequeSortingExt
  Extends VecDeque with extra sorting routines.

Functions

• build_frame_nr
  Build a (Timeline, TimeInt) tuple from frame_nr suitable for inserting in a TimePoint.
• build_log_time
  Build a (Timeline, TimeInt) tuple from log_time suitable for inserting in a TimePoint.

Type Aliases

• DataCellOptVec
• DataCellResult
• DataCellVec
• DataReadResult
• DataRowResult
• DataTableResult
• EntityPathVec
• ErasedTimeVec
• NumInstancesVec
• RowIdVec
• TimePointVec