Struct NetSpansView 

pub struct NetSpansView { /* private fields */ }

A view of network bandwidth spans (Connection / Object / Property / RPC).

Implementations

impl NetSpansView

pub fn new( view_instance_id: &str, view_factory: Arc<ViewFactory>, ) -> Result<NetSpansView, Error>

Trait Implementations

impl Debug for NetSpansView

fn fmt(&self, f: &mut Formatter<'_>) -> Result<(), Error>

Formats the value using the given formatter.

impl View for NetSpansView

fn get_view_set_name(&self) -> Arc<String>

name of the table from the user’s perspective

fn get_view_instance_id(&self) -> Arc<String>

get_view_instance_id can be a process_id, a stream_id or ‘global’.

fn make_batch_partition_spec<'life0, 'async_trait>( &'life0 self, _lakehouse: Arc<LakehouseContext>, _existing_partitions: Arc<PartitionCache>, _insert_range: TimeRange, ) -> Pin<Box<dyn Future<Output = Result<Arc<dyn PartitionSpec>, Error>> + Send + 'async_trait>>

where 'life0: 'async_trait, NetSpansView: 'async_trait,

make_batch_partition_spec determines what should be found in an up to date partition. The resulting PartitionSpec can be used to validate existing partitions are create a new one.

fn get_file_schema_hash(&self) -> Vec<u8>

get_file_schema_hash returns a hash (can be a version number, version string, etc.) that allows to identify out of date partitions.

fn get_file_schema(&self) -> Arc<Schema>

get_file_schema returns the schema of the partition file in object storage

fn jit_update<'life0, 'async_trait>( &'life0 self, lakehouse: Arc<LakehouseContext>, query_range: Option<TimeRange>, ) -> Pin<Box<dyn Future<Output = Result<(), Error>> + Send + 'async_trait>>

where 'life0: 'async_trait, NetSpansView: 'async_trait,

jit_update creates or updates process-specific partitions before a query

fn make_time_filter( &self, begin: DateTime<Utc>, end: DateTime<Utc>, ) -> Result<Vec<Expr>, Error>

make_time_filter returns a set of expressions that will filter out the rows of the partition outside the time range requested.

fn get_time_bounds(&self) -> Arc<dyn DataFrameTimeBounds>

fn get_update_group(&self) -> Option<i32>

tells the daemon which view should be materialized and in what order

fn register_table<'life0, 'life1, 'async_trait>( &'life0 self, ctx: &'life1 SessionContext, table: MaterializedView, ) -> Pin<Box<dyn Future<Output = Result<(), Error>> + Send + 'async_trait>>

where 'life0: 'async_trait, 'life1: 'async_trait, Self: 'async_trait,

register the table in the SessionContext

fn merge_partitions<'life0, 'async_trait>( &'life0 self, lakehouse: Arc<LakehouseContext>, partitions_to_merge: Arc<Vec<Partition>>, partitions_all_views: Arc<PartitionCache>, insert_range: TimeRange, ) -> Pin<Box<dyn Future<Output = Result<Pin<Box<dyn RecordBatchStream<Item = Result<RecordBatch, DataFusionError>> + Send>>, Error>> + Send + 'async_trait>>

where 'life0: 'async_trait, Self: 'async_trait,

fn get_max_partition_time_delta( &self, _strategy: &PartitionCreationStrategy, ) -> TimeDelta

allow the view to subdivide the requested partition