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This commit is contained in:
Dominik Werder
2021-04-09 22:17:58 +02:00
parent 09adbc4405
commit ef00b6e923
4 changed files with 203 additions and 114 deletions
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disk/src/agg.rs
+32 -29
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@@ -385,7 +385,6 @@ impl AggregatorTdim for MinMaxAvgScalarBinSingleAggregator {
todo!()
}
fn ingest(&mut self, v: &Self::InputValue) {
todo!()
}
@@ -810,34 +809,6 @@ fn agg_x_dim_1() {
}
async fn agg_x_dim_1_inner() {
let vals = ValuesDim1 {
tss: vec![0, 1, 2, 3],
values: vec![
vec![0., 0., 0.],
vec![1., 1., 1.],
vec![2., 2., 2.],
vec![3., 3., 3.],
],
};
// I want to distinguish already in the outer part between dim-0 and dim-1 and generate
// separate code for these cases...
// That means that also the reading chain itself needs to be typed on that.
// Need to supply some event-payload converter type which has that type as Output type.
let vals2 = vals.into_agg();
// Now the T-binning:
/*
T-aggregator must be able to produce empty-values of correct type even if we never get
a single value of input data.
Therefore, it needs the bin range definition.
How do I want to drive the system?
If I write the T-binner as a Stream, then I also need to pass it the input!
Meaning, I need to pass the Stream which produces the actual numbers from disk.
readchannel() -> Stream of timestamped byte blobs
.to_f32() -> Stream ? indirection to branch on the underlying shape
.agg_x_bins_1() -> Stream ? can I keep it at the single indirection on the top level?
*/
let query = netpod::AggQuerySingleChannel {
ksprefix: "daq_swissfel".into(),
keyspace: 3,
@@ -876,3 +847,35 @@ async fn agg_x_dim_1_inner() {
.for_each(|k| ready(()));
fut1.await;
}
pub fn tmp_some_older_things() {
let vals = ValuesDim1 {
tss: vec![0, 1, 2, 3],
values: vec![
vec![0., 0., 0.],
vec![1., 1., 1.],
vec![2., 2., 2.],
vec![3., 3., 3.],
],
};
// I want to distinguish already in the outer part between dim-0 and dim-1 and generate
// separate code for these cases...
// That means that also the reading chain itself needs to be typed on that.
// Need to supply some event-payload converter type which has that type as Output type.
let vals2 = vals.into_agg();
// Now the T-binning:
/*
T-aggregator must be able to produce empty-values of correct type even if we never get
a single value of input data.
Therefore, it needs the bin range definition.
How do I want to drive the system?
If I write the T-binner as a Stream, then I also need to pass it the input!
Meaning, I need to pass the Stream which produces the actual numbers from disk.
readchannel() -> Stream of timestamped byte blobs
.to_f32() -> Stream ? indirection to branch on the underlying shape
.agg_x_bins_1() -> Stream ? can I keep it at the single indirection on the top level?
*/
}