It compiles

This commit is contained in:
Dominik Werder
2021-05-20 20:04:21 +02:00
parent 49af7ce561
commit 30be7d1c44
25 changed files with 424 additions and 663 deletions

View File

@@ -5,20 +5,18 @@ Aggregation and binning support.
use super::eventchunker::EventFull;
use crate::agg::binnedt::AggregatableTdim;
use crate::agg::eventbatch::{MinMaxAvgScalarEventBatch, MinMaxAvgScalarEventBatchStreamItem};
use crate::agg::streams::StreamItem;
use crate::eventchunker::EventChunkerItem;
use crate::streamlog::LogItem;
use bytes::BytesMut;
use err::Error;
use futures_core::Stream;
use futures_util::StreamExt;
use netpod::NanoRange;
use netpod::ScalarType;
use netpod::{EventDataReadStats, NanoRange};
use serde::{Deserialize, Serialize};
use std::pin::Pin;
use std::task::{Context, Poll};
use std::time::{Duration, Instant};
#[allow(unused_imports)]
use tracing::{debug, error, info, span, trace, warn, Level};
pub mod binnedt;
pub mod binnedx;
@@ -35,7 +33,6 @@ pub trait AggregatableXdim1Bin {
pub struct ValuesDim0 {
tss: Vec<u64>,
values: Vec<Vec<f32>>,
// TODO add the stats and flags
}
impl std::fmt::Debug for ValuesDim0 {
@@ -509,15 +506,13 @@ impl<S> Dim1F32Stream<S> {
pub enum Dim1F32StreamItem {
Values(ValuesDim1),
RangeComplete,
EventDataReadStats(EventDataReadStats),
Log(LogItem),
}
impl<S> Stream for Dim1F32Stream<S>
where
S: Stream<Item = Result<EventChunkerItem, Error>> + Unpin,
S: Stream<Item = Result<StreamItem<EventChunkerItem>, Error>> + Unpin,
{
type Item = Result<Dim1F32StreamItem, Error>;
type Item = Result<StreamItem<Dim1F32StreamItem>, Error>;
fn poll_next(mut self: Pin<&mut Self>, cx: &mut Context) -> Poll<Option<Self::Item>> {
use Poll::*;
@@ -532,22 +527,23 @@ where
Ready(Some(Ok(k))) => {
let inst1 = Instant::now();
let u = match k {
EventChunkerItem::Events(events) => match self.process_event_data(&events) {
Ok(k) => {
let ret = Dim1F32StreamItem::Values(k);
Ready(Some(Ok(ret)))
}
Err(e) => {
self.errored = true;
Ready(Some(Err(e)))
StreamItem::DataItem(item) => match item {
EventChunkerItem::Events(events) => match self.process_event_data(&events) {
Ok(k) => {
let ret = Dim1F32StreamItem::Values(k);
Ready(Some(Ok(StreamItem::DataItem(ret))))
}
Err(e) => {
self.errored = true;
Ready(Some(Err(e)))
}
},
EventChunkerItem::RangeComplete => {
Ready(Some(Ok(StreamItem::DataItem(Dim1F32StreamItem::RangeComplete))))
}
},
EventChunkerItem::RangeComplete => Ready(Some(Ok(Dim1F32StreamItem::RangeComplete))),
EventChunkerItem::Log(item) => Ready(Some(Ok(Dim1F32StreamItem::Log(item)))),
EventChunkerItem::EventDataReadStats(stats) => {
let ret = Dim1F32StreamItem::EventDataReadStats(stats);
Ready(Some(Ok(ret)))
}
StreamItem::Log(item) => Ready(Some(Ok(StreamItem::Log(item)))),
StreamItem::Stats(item) => Ready(Some(Ok(StreamItem::Stats(item)))),
};
let inst2 = Instant::now();
// TODO do something with the measured time.
@@ -570,12 +566,12 @@ where
pub trait IntoDim1F32Stream {
fn into_dim_1_f32_stream(self) -> Dim1F32Stream<Self>
where
Self: Stream<Item = Result<EventChunkerItem, Error>> + Sized;
Self: Stream<Item = Result<StreamItem<EventChunkerItem>, Error>> + Sized;
}
impl<T> IntoDim1F32Stream for T
where
T: Stream<Item = Result<EventChunkerItem, Error>>,
T: Stream<Item = Result<StreamItem<EventChunkerItem>, Error>>,
{
fn into_dim_1_f32_stream(self) -> Dim1F32Stream<T> {
Dim1F32Stream::new(self)
@@ -588,10 +584,6 @@ impl AggregatableXdim1Bin for Dim1F32StreamItem {
fn into_agg(self) -> Self::Output {
match self {
Dim1F32StreamItem::Values(vals) => MinMaxAvgScalarEventBatchStreamItem::Values(vals.into_agg()),
Dim1F32StreamItem::EventDataReadStats(stats) => {
MinMaxAvgScalarEventBatchStreamItem::EventDataReadStats(stats)
}
Dim1F32StreamItem::Log(item) => MinMaxAvgScalarEventBatchStreamItem::Log(item),
Dim1F32StreamItem::RangeComplete => MinMaxAvgScalarEventBatchStreamItem::RangeComplete,
}
}

View File

@@ -1,10 +1,10 @@
use crate::agg::streams::StreamItem;
use crate::agg::AggregatableXdim1Bin;
use crate::streamlog::LogItem;
use err::Error;
use futures_core::Stream;
use futures_util::StreamExt;
use netpod::log::*;
use netpod::{BinnedRange, EventDataReadStats};
use netpod::BinnedRange;
use std::collections::VecDeque;
use std::pin::Pin;
use std::task::{Context, Poll};
@@ -25,12 +25,6 @@ pub trait AggregatableTdim: Sized {
fn aggregator_new_static(ts1: u64, ts2: u64) -> Self::Aggregator;
fn is_range_complete(&self) -> bool;
fn make_range_complete_item() -> Option<Self>;
fn is_log_item(&self) -> bool;
fn log_item(self) -> Option<LogItem>;
fn make_log_item(item: LogItem) -> Option<Self>;
fn is_stats_item(&self) -> bool;
fn stats_item(self) -> Option<EventDataReadStats>;
fn make_stats_item(item: EventDataReadStats) -> Option<Self>;
}
pub trait IntoBinnedT {
@@ -40,9 +34,8 @@ pub trait IntoBinnedT {
impl<S, I> IntoBinnedT for S
where
S: Stream<Item = Result<I, Error>> + Unpin,
S: Stream<Item = Result<StreamItem<I>, Error>> + Unpin,
I: AggregatableTdim + Unpin,
//I: AggregatableTdim,
I::Aggregator: Unpin,
{
type StreamOut = IntoBinnedTDefaultStream<S, I>;
@@ -54,7 +47,7 @@ where
pub struct IntoBinnedTDefaultStream<S, I>
where
S: Stream<Item = Result<I, Error>>,
S: Stream<Item = Result<StreamItem<I>, Error>>,
I: AggregatableTdim,
{
inp: S,
@@ -65,7 +58,7 @@ where
all_bins_emitted: bool,
range_complete_observed: bool,
range_complete_emitted: bool,
left: Option<Poll<Option<Result<I, Error>>>>,
left: Option<Poll<Option<Result<StreamItem<I>, Error>>>>,
errored: bool,
completed: bool,
tmp_agg_results: VecDeque<<I::Aggregator as AggregatorTdim>::OutputValue>,
@@ -73,7 +66,7 @@ where
impl<S, I> IntoBinnedTDefaultStream<S, I>
where
S: Stream<Item = Result<I, Error>> + Unpin,
S: Stream<Item = Result<StreamItem<I>, Error>> + Unpin,
I: AggregatableTdim,
{
pub fn new(inp: S, spec: BinnedRange) -> Self {
@@ -94,7 +87,7 @@ where
}
}
fn cur(&mut self, cx: &mut Context) -> Poll<Option<Result<I, Error>>> {
fn cur(&mut self, cx: &mut Context) -> Poll<Option<Result<StreamItem<I>, Error>>> {
if let Some(cur) = self.left.take() {
cur
} else if self.inp_completed {
@@ -122,64 +115,44 @@ where
fn handle(
&mut self,
cur: Poll<Option<Result<I, Error>>>,
) -> Option<Poll<Option<Result<<I::Aggregator as AggregatorTdim>::OutputValue, Error>>>> {
cur: Poll<Option<Result<StreamItem<I>, Error>>>,
) -> Option<Poll<Option<Result<StreamItem<<I::Aggregator as AggregatorTdim>::OutputValue>, Error>>>> {
use Poll::*;
match cur {
Ready(Some(Ok(k))) => {
if k.is_range_complete() {
self.range_complete_observed = true;
None
} else if k.is_log_item() {
if let Some(item) = k.log_item() {
if let Some(item) = <I::Aggregator as AggregatorTdim>::OutputValue::make_log_item(item) {
Some(Ready(Some(Ok(item))))
} else {
error!("IntoBinnedTDefaultStream can not create log item");
Ready(Some(Ok(item))) => match item {
StreamItem::Log(item) => Some(Ready(Some(Ok(StreamItem::Log(item))))),
StreamItem::Stats(item) => Some(Ready(Some(Ok(StreamItem::Stats(item))))),
StreamItem::DataItem(item) => {
if item.is_range_complete() {
self.range_complete_observed = true;
None
} else if self.all_bins_emitted {
// Just drop the item because we will not emit anymore data.
// Could also at least gather some stats.
None
} else {
let ag = self.aggtor.as_mut().unwrap();
if ag.ends_before(&item) {
None
}
} else {
error!("supposed to be log item but can't take it");
None
}
} else if k.is_stats_item() {
if let Some(item) = k.stats_item() {
if let Some(item) = <I::Aggregator as AggregatorTdim>::OutputValue::make_stats_item(item) {
Some(Ready(Some(Ok(item))))
} else {
error!("IntoBinnedTDefaultStream can not create stats item");
None
}
} else {
error!("supposed to be stats item but can't take it");
None
}
} else if self.all_bins_emitted {
// Just drop the item because we will not emit anymore data.
// Could also at least gather some stats.
None
} else {
let ag = self.aggtor.as_mut().unwrap();
if ag.ends_before(&k) {
None
} else if ag.starts_after(&k) {
self.left = Some(Ready(Some(Ok(k))));
self.cycle_current_bin();
// TODO cycle_current_bin enqueues the bin, can I return here instead?
None
} else {
let mut k = k;
ag.ingest(&mut k);
let k = k;
if ag.ends_after(&k) {
self.left = Some(Ready(Some(Ok(k))));
} else if ag.starts_after(&item) {
self.left = Some(Ready(Some(Ok(StreamItem::DataItem(item)))));
self.cycle_current_bin();
// TODO cycle_current_bin enqueues the bin, can I return here instead?
None
} else {
let mut item = item;
ag.ingest(&mut item);
let item = item;
if ag.ends_after(&item) {
self.left = Some(Ready(Some(Ok(StreamItem::DataItem(item)))));
self.cycle_current_bin();
}
// TODO cycle_current_bin enqueues the bin, can I return here instead?
None
}
// TODO cycle_current_bin enqueues the bin, can I return here instead?
None
}
}
}
},
Ready(Some(Err(e))) => {
self.errored = true;
Some(Ready(Some(Err(e))))
@@ -201,12 +174,11 @@ where
impl<S, I> Stream for IntoBinnedTDefaultStream<S, I>
where
S: Stream<Item = Result<I, Error>> + Unpin,
//I: AggregatableTdim,
S: Stream<Item = Result<StreamItem<I>, Error>> + Unpin,
I: AggregatableTdim + Unpin,
I::Aggregator: Unpin,
{
type Item = Result<<I::Aggregator as AggregatorTdim>::OutputValue, Error>;
type Item = Result<StreamItem<<I::Aggregator as AggregatorTdim>::OutputValue>, Error>;
fn poll_next(mut self: Pin<&mut Self>, cx: &mut Context) -> Poll<Option<Self::Item>> {
use Poll::*;
@@ -217,17 +189,15 @@ where
self.completed = true;
Ready(None)
} else if let Some(item) = self.tmp_agg_results.pop_front() {
Ready(Some(Ok(item)))
Ready(Some(Ok(StreamItem::DataItem(item))))
} else if self.range_complete_emitted {
self.completed = true;
Ready(None)
} else if self.inp_completed && self.all_bins_emitted {
self.range_complete_emitted = true;
if self.range_complete_observed {
// TODO why can't I declare that type alias?
//type TT = I;
if let Some(item) = <I::Aggregator as AggregatorTdim>::OutputValue::make_range_complete_item() {
Ready(Some(Ok(item)))
Ready(Some(Ok(StreamItem::DataItem(item))))
} else {
warn!("IntoBinnedTDefaultStream should emit RangeComplete but it doesn't have one");
continue 'outer;

View File

@@ -1,3 +1,4 @@
use crate::agg::streams::StreamItem;
use crate::agg::AggregatableXdim1Bin;
use err::Error;
use futures_core::Stream;
@@ -5,16 +6,20 @@ use futures_util::StreamExt;
use std::pin::Pin;
use std::task::{Context, Poll};
pub trait IntoBinnedXBins1<I: AggregatableXdim1Bin> {
pub trait IntoBinnedXBins1<I>
where
I: AggregatableXdim1Bin,
{
type StreamOut;
fn into_binned_x_bins_1(self) -> Self::StreamOut
where
Self: Stream<Item = Result<I, Error>>;
Self: Stream<Item = Result<StreamItem<I>, Error>>;
}
impl<T, I: AggregatableXdim1Bin> IntoBinnedXBins1<I> for T
impl<T, I> IntoBinnedXBins1<I> for T
where
T: Stream<Item = Result<I, Error>> + Unpin,
T: Stream<Item = Result<StreamItem<I>, Error>> + Unpin,
I: AggregatableXdim1Bin,
{
type StreamOut = IntoBinnedXBins1DefaultStream<T, I>;
@@ -25,7 +30,7 @@ where
pub struct IntoBinnedXBins1DefaultStream<S, I>
where
S: Stream<Item = Result<I, Error>> + Unpin,
S: Stream<Item = Result<StreamItem<I>, Error>> + Unpin,
I: AggregatableXdim1Bin,
{
inp: S,
@@ -33,15 +38,19 @@ where
impl<S, I> Stream for IntoBinnedXBins1DefaultStream<S, I>
where
S: Stream<Item = Result<I, Error>> + Unpin,
S: Stream<Item = Result<StreamItem<I>, Error>> + Unpin,
I: AggregatableXdim1Bin,
{
type Item = Result<I::Output, Error>;
type Item = Result<StreamItem<I::Output>, Error>;
fn poll_next(mut self: Pin<&mut Self>, cx: &mut Context) -> Poll<Option<Self::Item>> {
use Poll::*;
match self.inp.poll_next_unpin(cx) {
Ready(Some(Ok(k))) => Ready(Some(Ok(k.into_agg()))),
Ready(Some(Ok(k))) => match k {
StreamItem::Log(item) => Ready(Some(Ok(StreamItem::Log(item)))),
StreamItem::Stats(item) => Ready(Some(Ok(StreamItem::Stats(item)))),
StreamItem::DataItem(item) => Ready(Some(Ok(StreamItem::DataItem(item.into_agg())))),
},
Ready(Some(Err(e))) => Ready(Some(Err(e))),
Ready(None) => Ready(None),
Pending => Pending,

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@@ -1,10 +1,8 @@
use crate::agg::binnedt::{AggregatableTdim, AggregatorTdim};
use crate::agg::scalarbinbatch::{MinMaxAvgScalarBinBatch, MinMaxAvgScalarBinBatchStreamItem};
use crate::agg::AggregatableXdim1Bin;
use crate::streamlog::LogItem;
use bytes::{BufMut, Bytes, BytesMut};
use netpod::log::*;
use netpod::EventDataReadStats;
use serde::{Deserialize, Serialize};
use std::mem::size_of;
@@ -120,30 +118,6 @@ impl AggregatableTdim for MinMaxAvgScalarEventBatch {
fn make_range_complete_item() -> Option<Self> {
None
}
fn is_log_item(&self) -> bool {
false
}
fn log_item(self) -> Option<LogItem> {
None
}
fn make_log_item(_item: LogItem) -> Option<Self> {
None
}
fn is_stats_item(&self) -> bool {
false
}
fn stats_item(self) -> Option<EventDataReadStats> {
None
}
fn make_stats_item(_item: EventDataReadStats) -> Option<Self> {
None
}
}
impl MinMaxAvgScalarEventBatch {
@@ -269,8 +243,6 @@ impl AggregatorTdim for MinMaxAvgScalarEventBatchAggregator {
pub enum MinMaxAvgScalarEventBatchStreamItem {
Values(MinMaxAvgScalarEventBatch),
RangeComplete,
EventDataReadStats(EventDataReadStats),
Log(LogItem),
}
impl AggregatableXdim1Bin for MinMaxAvgScalarEventBatchStreamItem {
@@ -301,46 +273,6 @@ impl AggregatableTdim for MinMaxAvgScalarEventBatchStreamItem {
fn make_range_complete_item() -> Option<Self> {
Some(MinMaxAvgScalarEventBatchStreamItem::RangeComplete)
}
fn is_log_item(&self) -> bool {
if let MinMaxAvgScalarEventBatchStreamItem::Log(_) = self {
true
} else {
false
}
}
fn log_item(self) -> Option<LogItem> {
if let MinMaxAvgScalarEventBatchStreamItem::Log(item) = self {
Some(item)
} else {
None
}
}
fn make_log_item(item: LogItem) -> Option<Self> {
Some(MinMaxAvgScalarEventBatchStreamItem::Log(item))
}
fn is_stats_item(&self) -> bool {
if let MinMaxAvgScalarEventBatchStreamItem::EventDataReadStats(_) = self {
true
} else {
false
}
}
fn stats_item(self) -> Option<EventDataReadStats> {
if let MinMaxAvgScalarEventBatchStreamItem::EventDataReadStats(item) = self {
Some(item)
} else {
None
}
}
fn make_stats_item(item: EventDataReadStats) -> Option<Self> {
Some(MinMaxAvgScalarEventBatchStreamItem::EventDataReadStats(item))
}
}
pub struct MinMaxAvgScalarEventBatchStreamItemAggregator {
@@ -382,9 +314,7 @@ impl AggregatorTdim for MinMaxAvgScalarEventBatchStreamItemAggregator {
fn ingest(&mut self, inp: &mut Self::InputValue) {
match inp {
MinMaxAvgScalarEventBatchStreamItem::Values(vals) => self.agg.ingest(vals),
MinMaxAvgScalarEventBatchStreamItem::EventDataReadStats(_) => panic!(),
MinMaxAvgScalarEventBatchStreamItem::RangeComplete => panic!(),
MinMaxAvgScalarEventBatchStreamItem::Log(_) => panic!(),
}
}

View File

@@ -3,12 +3,11 @@ use crate::agg::streams::Bins;
use crate::agg::{AggregatableXdim1Bin, Fits, FitsInside};
use crate::binned::MakeBytesFrame;
use crate::frame::makeframe::make_frame;
use crate::streamlog::LogItem;
use bytes::{BufMut, Bytes, BytesMut};
use err::Error;
use netpod::log::*;
use netpod::timeunits::SEC;
use netpod::{EventDataReadStats, NanoRange};
use netpod::NanoRange;
use serde::{Deserialize, Serialize};
use std::mem::size_of;
@@ -208,30 +207,6 @@ impl AggregatableTdim for MinMaxAvgScalarBinBatch {
fn make_range_complete_item() -> Option<Self> {
None
}
fn is_log_item(&self) -> bool {
false
}
fn log_item(self) -> Option<LogItem> {
None
}
fn make_log_item(_item: LogItem) -> Option<Self> {
None
}
fn is_stats_item(&self) -> bool {
false
}
fn stats_item(self) -> Option<EventDataReadStats> {
None
}
fn make_stats_item(_item: EventDataReadStats) -> Option<Self> {
None
}
}
impl Bins for MinMaxAvgScalarBinBatch {
@@ -339,8 +314,6 @@ impl AggregatorTdim for MinMaxAvgScalarBinBatchAggregator {
pub enum MinMaxAvgScalarBinBatchStreamItem {
Values(MinMaxAvgScalarBinBatch),
RangeComplete,
EventDataReadStats(EventDataReadStats),
Log(LogItem),
}
impl AggregatableTdim for MinMaxAvgScalarBinBatchStreamItem {
@@ -362,46 +335,6 @@ impl AggregatableTdim for MinMaxAvgScalarBinBatchStreamItem {
fn make_range_complete_item() -> Option<Self> {
Some(MinMaxAvgScalarBinBatchStreamItem::RangeComplete)
}
fn is_log_item(&self) -> bool {
if let MinMaxAvgScalarBinBatchStreamItem::Log(_) = self {
true
} else {
false
}
}
fn log_item(self) -> Option<LogItem> {
if let MinMaxAvgScalarBinBatchStreamItem::Log(item) = self {
Some(item)
} else {
None
}
}
fn make_log_item(item: LogItem) -> Option<Self> {
Some(MinMaxAvgScalarBinBatchStreamItem::Log(item))
}
fn is_stats_item(&self) -> bool {
if let MinMaxAvgScalarBinBatchStreamItem::EventDataReadStats(_) = self {
true
} else {
false
}
}
fn stats_item(self) -> Option<EventDataReadStats> {
if let MinMaxAvgScalarBinBatchStreamItem::EventDataReadStats(item) = self {
Some(item)
} else {
None
}
}
fn make_stats_item(item: EventDataReadStats) -> Option<Self> {
Some(MinMaxAvgScalarBinBatchStreamItem::EventDataReadStats(item))
}
}
impl AggregatableXdim1Bin for MinMaxAvgScalarBinBatchStreamItem {
@@ -457,9 +390,7 @@ impl AggregatorTdim for MinMaxAvgScalarBinBatchStreamItemAggregator {
fn ingest(&mut self, inp: &mut Self::InputValue) {
match inp {
MinMaxAvgScalarBinBatchStreamItem::Values(vals) => self.agg.ingest(vals),
MinMaxAvgScalarBinBatchStreamItem::EventDataReadStats(_) => panic!(),
MinMaxAvgScalarBinBatchStreamItem::RangeComplete => panic!(),
MinMaxAvgScalarBinBatchStreamItem::Log(_) => panic!(),
}
}

View File

@@ -38,20 +38,16 @@ pub trait ToJsonResult {
impl<T> AggregatableXdim1Bin for StreamItem<T>
where
// TODO bound on the Output ???
//T: AggregatableTdim + AggregatableXdim1Bin<Output = T>,
T: AggregatableTdim + AggregatableXdim1Bin,
{
type Output = StreamItem<<T as AggregatableXdim1Bin>::Output>;
fn into_agg(self) -> Self::Output {
// TODO how to handle the type mismatch?
/*match self {
Self::Log(item) => Self::Log(item),
Self::Stats(item) => Self::Stats(item),
Self::DataItem(item) => Self::DataItem(item.into_agg()),
}*/
err::todoval()
match self {
Self::Log(item) => Self::Output::Log(item),
Self::Stats(item) => Self::Output::Stats(item),
Self::DataItem(item) => Self::Output::DataItem(item.into_agg()),
}
}
}
@@ -60,7 +56,6 @@ where
T: AggregatableTdim,
{
inner_agg: <T as AggregatableTdim>::Aggregator,
_mark: std::marker::PhantomData<T>,
}
impl<T> StreamItemAggregator<T>
@@ -70,7 +65,6 @@ where
pub fn new(ts1: u64, ts2: u64) -> Self {
Self {
inner_agg: <T as AggregatableTdim>::aggregator_new_static(ts1, ts2),
_mark: std::marker::PhantomData::default(),
}
}
}
@@ -83,23 +77,45 @@ where
type OutputValue = StreamItem<<<T as AggregatableTdim>::Aggregator as AggregatorTdim>::OutputValue>;
fn ends_before(&self, inp: &Self::InputValue) -> bool {
todo!()
match inp {
StreamItem::Log(_) => false,
StreamItem::Stats(_) => false,
StreamItem::DataItem(item) => self.inner_agg.ends_before(item),
}
}
fn ends_after(&self, inp: &Self::InputValue) -> bool {
todo!()
match inp {
StreamItem::Log(_) => false,
StreamItem::Stats(_) => false,
StreamItem::DataItem(item) => self.inner_agg.ends_after(item),
}
}
fn starts_after(&self, inp: &Self::InputValue) -> bool {
todo!()
match inp {
StreamItem::Log(_) => false,
StreamItem::Stats(_) => false,
StreamItem::DataItem(item) => self.inner_agg.starts_after(item),
}
}
fn ingest(&mut self, inp: &mut Self::InputValue) {
todo!()
match inp {
StreamItem::Log(_) => {}
StreamItem::Stats(_) => {}
StreamItem::DataItem(item) => {
self.inner_agg.ingest(item);
}
}
}
fn result(self) -> Vec<Self::OutputValue> {
todo!()
self.inner_agg
.result()
.into_iter()
.map(|k| StreamItem::DataItem(k))
.collect()
}
}
@@ -129,51 +145,4 @@ where
None => None,
}
}
// TODO refactor: the point of having the StreamItem is that this function is no longer necessary:
fn is_log_item(&self) -> bool {
if let Self::Log(_) = self {
true
} else {
false
}
}
// TODO should be able to remove this from trait:
fn log_item(self) -> Option<LogItem> {
if let Self::Log(item) = self {
Some(item)
} else {
None
}
}
// TODO should be able to remove this from trait:
fn make_log_item(item: LogItem) -> Option<Self> {
Some(Self::Log(item))
}
// TODO should be able to remove this from trait:
fn is_stats_item(&self) -> bool {
if let Self::Stats(_) = self {
true
} else {
false
}
}
// TODO should be able to remove this from trait:
fn stats_item(self) -> Option<EventDataReadStats> {
if let Self::Stats(_item) = self {
// TODO this whole function should no longer be needed.
Some(err::todoval())
} else {
None
}
}
// TODO should be able to remove this from trait:
fn make_stats_item(item: EventDataReadStats) -> Option<Self> {
Some(Self::Stats(StatsItem::EventDataReadStats(item)))
}
}

View File

@@ -1,6 +1,7 @@
use super::agg::IntoDim1F32Stream;
use crate::agg::binnedt::IntoBinnedT;
use crate::agg::binnedx::IntoBinnedXBins1;
use crate::eventblobs::EventBlobsComplete;
use crate::eventchunker::EventChunkerConf;
use futures_util::StreamExt;
use netpod::timeunits::*;
@@ -56,30 +57,25 @@ async fn agg_x_dim_0_inner() {
let ts2 = ts1 + HOUR * 24;
let range = NanoRange { beg: ts1, end: ts2 };
let event_chunker_conf = EventChunkerConf::new(ByteSize::kb(1024));
let fut1 = super::eventblobs::EventBlobsComplete::new(
let fut1 = EventBlobsComplete::new(
range.clone(),
query.channel_config.clone(),
node.clone(),
0,
query.buffer_size as usize,
event_chunker_conf,
)
.into_dim_1_f32_stream()
.into_binned_x_bins_1()
.map(|k| {
if false {
trace!("after X binning {:?}", k.as_ref().unwrap());
}
k
})
.into_binned_t(BinnedRange::covering_range(range, bin_count).unwrap().unwrap())
.map(|k| {
if false {
trace!("after T binning {:?}", k.as_ref().unwrap());
}
k
})
.for_each(|_k| ready(()));
);
let fut1 = IntoDim1F32Stream::into_dim_1_f32_stream(fut1);
let fut1 = IntoBinnedXBins1::into_binned_x_bins_1(fut1);
let fut1 = fut1
.into_binned_t(BinnedRange::covering_range(range, bin_count).unwrap().unwrap())
.map(|k| {
if false {
trace!("after T binning {:?}", k.as_ref().unwrap());
}
k
})
.for_each(|_k| ready(()));
fut1.await;
}

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@@ -1,5 +1,5 @@
use crate::agg::binnedt::{AggregatableTdim, AggregatorTdim};
use crate::agg::scalarbinbatch::MinMaxAvgScalarBinBatch;
use crate::agg::scalarbinbatch::{MinMaxAvgScalarBinBatch, MinMaxAvgScalarBinBatchAggregator};
use crate::agg::streams::{Collectable, Collected, StreamItem, ToJsonResult};
use crate::agg::AggregatableXdim1Bin;
use crate::binned::scalar::binned_scalar_stream;
@@ -7,14 +7,13 @@ use crate::binnedstream::{BinnedScalarStreamFromPreBinnedPatches, BinnedStream};
use crate::cache::BinnedQuery;
use crate::channelconfig::{extract_matching_config_entry, read_local_config};
use crate::frame::makeframe::make_frame;
use crate::streamlog::LogItem;
use bytes::Bytes;
use chrono::{TimeZone, Utc};
use err::Error;
use futures_core::Stream;
use futures_util::StreamExt;
use netpod::log::*;
use netpod::{AggKind, BinnedRange, EventDataReadStats, NodeConfigCached};
use netpod::{AggKind, BinnedRange, NodeConfigCached};
use num_traits::Zero;
use serde::{Deserialize, Serialize, Serializer};
use std::pin::Pin;
@@ -146,31 +145,58 @@ impl AggregatableXdim1Bin for BinnedScalarStreamItem {
}
}
pub struct BinnedScalarStreamItemAggregator {}
pub struct BinnedScalarStreamItemAggregator {
inner_agg: MinMaxAvgScalarBinBatchAggregator,
}
impl BinnedScalarStreamItemAggregator {
pub fn new(ts1: u64, ts2: u64) -> Self {
Self {
inner_agg: MinMaxAvgScalarBinBatchAggregator::new(ts1, ts2),
}
}
}
// TODO this could be some generic impl for all wrapper that can carry some AggregatableTdim variant.
impl AggregatorTdim for BinnedScalarStreamItemAggregator {
type InputValue = BinnedScalarStreamItem;
// TODO using the same type for the output, does this cover all cases?
type OutputValue = BinnedScalarStreamItem;
fn ends_before(&self, inp: &Self::InputValue) -> bool {
todo!()
match inp {
Self::OutputValue::Values(item) => self.inner_agg.ends_before(item),
Self::OutputValue::RangeComplete => false,
}
}
fn ends_after(&self, inp: &Self::InputValue) -> bool {
todo!()
match inp {
Self::OutputValue::Values(item) => self.inner_agg.ends_after(item),
Self::OutputValue::RangeComplete => false,
}
}
fn starts_after(&self, inp: &Self::InputValue) -> bool {
todo!()
match inp {
Self::OutputValue::Values(item) => self.inner_agg.starts_after(item),
Self::OutputValue::RangeComplete => false,
}
}
fn ingest(&mut self, inp: &mut Self::InputValue) {
todo!()
match inp {
Self::OutputValue::Values(item) => self.inner_agg.ingest(item),
Self::OutputValue::RangeComplete => (),
}
}
fn result(self) -> Vec<Self::OutputValue> {
todo!()
self.inner_agg
.result()
.into_iter()
.map(|k| BinnedScalarStreamItem::Values(k))
.collect()
}
}
@@ -180,39 +206,19 @@ impl AggregatableTdim for BinnedScalarStreamItem {
type Output = BinnedScalarStreamItem;
fn aggregator_new_static(ts1: u64, ts2: u64) -> Self::Aggregator {
todo!()
BinnedScalarStreamItemAggregator::new(ts1, ts2)
}
fn is_range_complete(&self) -> bool {
todo!()
if let Self::RangeComplete = self {
true
} else {
false
}
}
fn make_range_complete_item() -> Option<Self> {
todo!()
}
fn is_log_item(&self) -> bool {
todo!()
}
fn log_item(self) -> Option<LogItem> {
todo!()
}
fn make_log_item(item: LogItem) -> Option<Self> {
todo!()
}
fn is_stats_item(&self) -> bool {
todo!()
}
fn stats_item(self) -> Option<EventDataReadStats> {
todo!()
}
fn make_stats_item(item: EventDataReadStats) -> Option<Self> {
todo!()
Some(Self::RangeComplete)
}
}

View File

@@ -1,6 +1,6 @@
use crate::agg::binnedt::IntoBinnedT;
use crate::agg::scalarbinbatch::MinMaxAvgScalarBinBatchStreamItem;
use crate::agg::streams::{StatsItem, StreamItem};
use crate::agg::streams::StreamItem;
use crate::binned::{BinnedScalarStreamItem, BinnedStreamRes};
use crate::binnedstream::{BinnedScalarStreamFromPreBinnedPatches, BinnedStream};
use crate::cache::{BinnedQuery, MergedFromRemotes};
@@ -11,20 +11,20 @@ use netpod::log::*;
use netpod::{BinnedRange, NodeConfigCached, PerfOpts, PreBinnedPatchIterator, PreBinnedPatchRange};
pub fn adapter_to_stream_item(
k: Result<MinMaxAvgScalarBinBatchStreamItem, Error>,
k: Result<StreamItem<MinMaxAvgScalarBinBatchStreamItem>, Error>,
) -> Result<StreamItem<BinnedScalarStreamItem>, Error> {
match k {
Ok(k) => match k {
MinMaxAvgScalarBinBatchStreamItem::Log(item) => Ok(StreamItem::Log(item)),
MinMaxAvgScalarBinBatchStreamItem::EventDataReadStats(item) => {
Ok(StreamItem::Stats(StatsItem::EventDataReadStats(item)))
}
MinMaxAvgScalarBinBatchStreamItem::RangeComplete => {
Ok(StreamItem::DataItem(BinnedScalarStreamItem::RangeComplete))
}
MinMaxAvgScalarBinBatchStreamItem::Values(item) => {
Ok(StreamItem::DataItem(BinnedScalarStreamItem::Values(item)))
}
StreamItem::Log(item) => Ok(StreamItem::Log(item)),
StreamItem::Stats(item) => Ok(StreamItem::Stats(item)),
StreamItem::DataItem(item) => match item {
MinMaxAvgScalarBinBatchStreamItem::RangeComplete => {
Ok(StreamItem::DataItem(BinnedScalarStreamItem::RangeComplete))
}
MinMaxAvgScalarBinBatchStreamItem::Values(item) => {
Ok(StreamItem::DataItem(BinnedScalarStreamItem::Values(item)))
}
},
},
Err(e) => Err(e),
}

View File

@@ -1,7 +1,5 @@
use crate::agg::binnedt::IntoBinnedT;
use crate::agg::scalarbinbatch::MinMaxAvgScalarBinBatchStreamItem;
use crate::agg::streams::{StatsItem, StreamItem};
use crate::binned::scalar::adapter_to_stream_item;
use crate::agg::streams::StreamItem;
use crate::binned::BinnedScalarStreamItem;
use crate::cache::pbvfs::{PreBinnedItem, PreBinnedValueFetchedStream};
use crate::cache::{CacheUsage, PreBinnedQuery};
@@ -66,37 +64,34 @@ impl BinnedScalarStreamFromPreBinnedPatches {
move |k| {
let fit_range = range.full_range();
let g = match k {
Ok(PreBinnedItem::Batch(k)) => {
use super::agg::{Fits, FitsInside};
match k.fits_inside(fit_range) {
Fits::Inside
| Fits::PartlyGreater
| Fits::PartlyLower
| Fits::PartlyLowerAndGreater => {
Some(Ok(StreamItem::DataItem(BinnedScalarStreamItem::Values(k))))
Ok(item) => match item {
StreamItem::Log(item) => Some(Ok(StreamItem::Log(item))),
StreamItem::Stats(item) => Some(Ok(StreamItem::Stats(item))),
StreamItem::DataItem(item) => match item {
PreBinnedItem::RangeComplete => {
Some(Ok(StreamItem::DataItem(BinnedScalarStreamItem::RangeComplete)))
}
_ => None,
}
}
Ok(PreBinnedItem::RangeComplete) => {
Some(Ok(StreamItem::DataItem(BinnedScalarStreamItem::RangeComplete)))
}
Ok(PreBinnedItem::EventDataReadStats(item)) => {
Some(Ok(StreamItem::Stats(StatsItem::EventDataReadStats(item))))
}
Ok(PreBinnedItem::Log(item)) => Some(Ok(StreamItem::Log(item))),
PreBinnedItem::Batch(item) => {
use super::agg::{Fits, FitsInside};
match item.fits_inside(fit_range) {
Fits::Inside
| Fits::PartlyGreater
| Fits::PartlyLower
| Fits::PartlyLowerAndGreater => {
Some(Ok(StreamItem::DataItem(BinnedScalarStreamItem::Values(item))))
}
_ => None,
}
}
},
},
Err(e) => Some(Err(e)),
};
ready(g)
}
});
//let inp: Box<dyn Stream<Item = Result<StreamItem<BinnedScalarStreamItem>, Error>> + Send + Unpin> =
// Box::new(inp);
//let inp: &Stream<Item = Result<StreamItem<BinnedScalarStreamItem>, Error>> + Send + Unpin>> = &inp
//() == inp;
let inp = IntoBinnedT::into_binned_t(inp, range);
})
.into_binned_t(range);
Ok(Self { inp: Box::pin(inp) })
//err::todoval()
}
}

View File

@@ -1,5 +1,6 @@
use crate::agg::eventbatch::MinMaxAvgScalarEventBatchStreamItem;
use crate::agg::scalarbinbatch::MinMaxAvgScalarBinBatch;
use crate::agg::streams::StreamItem;
use crate::cache::pbv::PreBinnedValueByteStream;
use crate::cache::pbvfs::PreBinnedItem;
use crate::merge::MergedMinMaxAvgScalarStream;
@@ -313,7 +314,7 @@ impl AsyncRead for HttpBodyAsAsyncRead {
}
}
type T001 = Pin<Box<dyn Stream<Item = Result<MinMaxAvgScalarEventBatchStreamItem, Error>> + Send>>;
type T001 = Pin<Box<dyn Stream<Item = Result<StreamItem<MinMaxAvgScalarEventBatchStreamItem>, Error>> + Send>>;
type T002 = Pin<Box<dyn Future<Output = Result<T001, Error>> + Send>>;
pub struct MergedFromRemotes {
tcp_establish_futs: Vec<T002>,
@@ -344,19 +345,17 @@ impl MergedFromRemotes {
impl Stream for MergedFromRemotes {
// TODO need this generic for scalar and array (when wave is not binned down to a single scalar point)
type Item = Result<MinMaxAvgScalarEventBatchStreamItem, Error>;
type Item = Result<StreamItem<MinMaxAvgScalarEventBatchStreamItem>, Error>;
fn poll_next(mut self: Pin<&mut Self>, cx: &mut Context) -> Poll<Option<Self::Item>> {
use Poll::*;
if self.completed {
panic!("MergedFromRemotes poll_next on completed");
}
if self.errored {
self.completed = true;
return Ready(None);
}
'outer: loop {
break if let Some(fut) = &mut self.merged {
break if self.completed {
panic!("MergedFromRemotes poll_next on completed");
} else if self.errored {
self.completed = true;
return Ready(None);
} else if let Some(fut) = &mut self.merged {
match fut.poll_next_unpin(cx) {
Ready(Some(Ok(k))) => Ready(Some(Ok(k))),
Ready(Some(Err(e))) => {
@@ -527,10 +526,10 @@ pub async fn write_pb_cache_min_max_avg_scalar(
Ok(())
}
pub async fn read_pbv(mut file: File) -> Result<PreBinnedItem, Error> {
pub async fn read_pbv(mut file: File) -> Result<StreamItem<PreBinnedItem>, Error> {
let mut buf = vec![];
file.read_to_end(&mut buf).await?;
trace!("Read cached file len {}", buf.len());
let dec: MinMaxAvgScalarBinBatch = serde_cbor::from_slice(&buf)?;
Ok(PreBinnedItem::Batch(dec))
Ok(StreamItem::DataItem(PreBinnedItem::Batch(dec)))
}

74
disk/src/cache/pbv.rs vendored
View File

@@ -1,5 +1,6 @@
use crate::agg::binnedt::IntoBinnedT;
use crate::agg::scalarbinbatch::{MinMaxAvgScalarBinBatch, MinMaxAvgScalarBinBatchStreamItem};
use crate::agg::streams::StreamItem;
use crate::cache::pbvfs::{PreBinnedItem, PreBinnedValueFetchedStream};
use crate::cache::{CacheFileDesc, MergedFromRemotes, PreBinnedQuery};
use crate::frame::makeframe::make_frame;
@@ -38,7 +39,7 @@ impl Stream for PreBinnedValueByteStreamInner {
fn poll_next(mut self: Pin<&mut Self>, cx: &mut Context) -> Poll<Option<Self::Item>> {
use Poll::*;
match self.inp.poll_next_unpin(cx) {
Ready(Some(item)) => match make_frame::<Result<PreBinnedItem, Error>>(&item) {
Ready(Some(item)) => match make_frame::<Result<StreamItem<PreBinnedItem>, Error>>(&item) {
Ok(buf) => Ready(Some(Ok(buf.freeze()))),
Err(e) => Ready(Some(Err(e.into()))),
},
@@ -52,7 +53,7 @@ pub struct PreBinnedValueStream {
query: PreBinnedQuery,
node_config: NodeConfigCached,
open_check_local_file: Option<Pin<Box<dyn Future<Output = Result<tokio::fs::File, std::io::Error>> + Send>>>,
fut2: Option<Pin<Box<dyn Stream<Item = Result<PreBinnedItem, Error>> + Send>>>,
fut2: Option<Pin<Box<dyn Stream<Item = Result<StreamItem<PreBinnedItem>, Error>> + Send>>>,
read_from_cache: bool,
cache_written: bool,
data_complete: bool,
@@ -63,7 +64,7 @@ pub struct PreBinnedValueStream {
streamlog: Streamlog,
values: MinMaxAvgScalarBinBatch,
write_fut: Option<Pin<Box<dyn Future<Output = Result<(), Error>> + Send>>>,
read_cache_fut: Option<Pin<Box<dyn Future<Output = Result<PreBinnedItem, Error>> + Send>>>,
read_cache_fut: Option<Pin<Box<dyn Future<Output = Result<StreamItem<PreBinnedItem>, Error>> + Send>>>,
}
impl PreBinnedValueStream {
@@ -111,13 +112,21 @@ impl PreBinnedValueStream {
let perf_opts = PerfOpts { inmem_bufcap: 512 };
let s1 = MergedFromRemotes::new(evq, perf_opts, self.node_config.node_config.cluster.clone());
let s1 = s1.into_binned_t(range);
let s1 = s1.map(|k| {
use MinMaxAvgScalarBinBatchStreamItem::*;
match k {
Ok(Values(k)) => Ok(PreBinnedItem::Batch(k)),
Ok(RangeComplete) => Ok(PreBinnedItem::RangeComplete),
Ok(EventDataReadStats(stats)) => Ok(PreBinnedItem::EventDataReadStats(stats)),
Ok(Log(item)) => Ok(PreBinnedItem::Log(item)),
let s1 = s1.map(|item| {
// TODO does this do anything?
match item {
Ok(item) => match item {
StreamItem::Log(item) => Ok(StreamItem::Log(item)),
StreamItem::Stats(item) => Ok(StreamItem::Stats(item)),
StreamItem::DataItem(item) => match item {
MinMaxAvgScalarBinBatchStreamItem::RangeComplete => {
Ok(StreamItem::DataItem(PreBinnedItem::RangeComplete))
}
MinMaxAvgScalarBinBatchStreamItem::Values(item) => {
Ok(StreamItem::DataItem(PreBinnedItem::Batch(item)))
}
},
},
Err(e) => Err(e),
}
});
@@ -192,7 +201,7 @@ impl PreBinnedValueStream {
impl Stream for PreBinnedValueStream {
// TODO need this generic for scalar and array (when wave is not binned down to a single scalar point)
type Item = Result<PreBinnedItem, Error>;
type Item = Result<StreamItem<PreBinnedItem>, Error>;
fn poll_next(mut self: Pin<&mut Self>, cx: &mut Context) -> Poll<Option<Self::Item>> {
use Poll::*;
@@ -203,7 +212,7 @@ impl Stream for PreBinnedValueStream {
self.completed = true;
Ready(None)
} else if let Some(item) = self.streamlog.pop() {
Ready(Some(Ok(PreBinnedItem::Log(item))))
Ready(Some(Ok(StreamItem::Log(item))))
} else if let Some(fut) = &mut self.write_fut {
match fut.poll_unpin(cx) {
Ready(item) => {
@@ -247,7 +256,7 @@ impl Stream for PreBinnedValueStream {
if self.cache_written {
if self.range_complete_observed {
self.range_complete_emitted = true;
Ready(Some(Ok(PreBinnedItem::RangeComplete)))
Ready(Some(Ok(StreamItem::DataItem(PreBinnedItem::RangeComplete))))
} else {
self.completed = true;
Ready(None)
@@ -284,26 +293,25 @@ impl Stream for PreBinnedValueStream {
} else if let Some(fut) = self.fut2.as_mut() {
match fut.poll_next_unpin(cx) {
Ready(Some(k)) => match k {
Ok(PreBinnedItem::RangeComplete) => {
self.range_complete_observed = true;
continue 'outer;
}
Ok(PreBinnedItem::Batch(batch)) => {
self.values.ts1s.extend(batch.ts1s.iter());
self.values.ts2s.extend(batch.ts2s.iter());
self.values.counts.extend(batch.counts.iter());
self.values.mins.extend(batch.mins.iter());
self.values.maxs.extend(batch.maxs.iter());
self.values.avgs.extend(batch.avgs.iter());
Ready(Some(Ok(PreBinnedItem::Batch(batch))))
}
Ok(PreBinnedItem::EventDataReadStats(stats)) => {
if false {
info!("PreBinnedValueStream ✙ ✙ ✙ ✙ ✙ ✙ ✙ ✙ ✙ ✙ ✙ ✙ ✙ stats {:?}", stats);
}
Ready(Some(Ok(PreBinnedItem::EventDataReadStats(stats))))
}
Ok(PreBinnedItem::Log(item)) => Ready(Some(Ok(PreBinnedItem::Log(item)))),
Ok(item) => match item {
StreamItem::Log(item) => Ready(Some(Ok(StreamItem::Log(item)))),
StreamItem::Stats(item) => Ready(Some(Ok(StreamItem::Stats(item)))),
StreamItem::DataItem(item) => match item {
PreBinnedItem::RangeComplete => {
self.range_complete_observed = true;
continue 'outer;
}
PreBinnedItem::Batch(batch) => {
self.values.ts1s.extend(batch.ts1s.iter());
self.values.ts2s.extend(batch.ts2s.iter());
self.values.counts.extend(batch.counts.iter());
self.values.mins.extend(batch.mins.iter());
self.values.maxs.extend(batch.maxs.iter());
self.values.avgs.extend(batch.avgs.iter());
Ready(Some(Ok(StreamItem::DataItem(PreBinnedItem::Batch(batch)))))
}
},
},
Err(e) => {
self.errored = true;
Ready(Some(Err(e)))

View File

@@ -1,15 +1,15 @@
use crate::agg::scalarbinbatch::MinMaxAvgScalarBinBatch;
use crate::agg::streams::StreamItem;
use crate::cache::{node_ix_for_patch, HttpBodyAsAsyncRead, PreBinnedQuery};
use crate::frame::inmem::InMemoryFrameAsyncReadStream;
use crate::frame::makeframe::decode_frame;
use crate::streamlog::LogItem;
use err::Error;
use futures_core::Stream;
use futures_util::{pin_mut, FutureExt};
use http::StatusCode;
#[allow(unused_imports)]
use netpod::log::*;
use netpod::{EventDataReadStats, NodeConfigCached, PerfOpts};
use netpod::{NodeConfigCached, PerfOpts};
use serde::{Deserialize, Serialize};
use std::pin::Pin;
use std::task::{Context, Poll};
@@ -48,14 +48,11 @@ impl PreBinnedValueFetchedStream {
pub enum PreBinnedItem {
Batch(MinMaxAvgScalarBinBatch),
RangeComplete,
EventDataReadStats(EventDataReadStats),
//ValuesExtractStats(ValuesExtractStats),
Log(LogItem),
}
impl Stream for PreBinnedValueFetchedStream {
// TODO need this generic for scalar and array (when wave is not binned down to a single scalar point)
type Item = Result<PreBinnedItem, Error>;
type Item = Result<StreamItem<PreBinnedItem>, Error>;
fn poll_next(mut self: Pin<&mut Self>, cx: &mut Context) -> Poll<Option<Self::Item>> {
use Poll::*;
@@ -70,23 +67,21 @@ impl Stream for PreBinnedValueFetchedStream {
break if let Some(res) = self.res.as_mut() {
pin_mut!(res);
match res.poll_next(cx) {
Ready(Some(Ok(frame))) => match decode_frame::<Result<PreBinnedItem, Error>>(&frame) {
Ok(Ok(item)) => {
match &item {
PreBinnedItem::EventDataReadStats(stats) if false => {
info!("PreBinnedValueFetchedStream ✕ ✕ ✕ ✕ ✕ ✕ ✕ ✕ ✕ stats {:?}", stats);
Ready(Some(Ok(item))) => match item {
StreamItem::Log(item) => Ready(Some(Ok(StreamItem::Log(item)))),
StreamItem::Stats(item) => Ready(Some(Ok(StreamItem::Stats(item)))),
StreamItem::DataItem(item) => {
match decode_frame::<Result<StreamItem<PreBinnedItem>, Error>>(&item) {
Ok(Ok(item)) => Ready(Some(Ok(item))),
Ok(Err(e)) => {
self.errored = true;
Ready(Some(Err(e)))
}
Err(e) => {
self.errored = true;
Ready(Some(Err(e)))
}
_ => {}
}
Ready(Some(Ok(item)))
}
Ok(Err(e)) => {
self.errored = true;
Ready(Some(Err(e)))
}
Err(e) => {
self.errored = true;
Ready(Some(Err(e)))
}
},
Ready(Some(Err(e))) => {

View File

@@ -1,3 +1,4 @@
use crate::agg::streams::StreamItem;
use crate::dataopen::{open_files, OpenedFile};
use crate::eventchunker::{EventChunker, EventChunkerConf, EventChunkerItem};
use crate::file_content_stream;
@@ -55,9 +56,9 @@ impl EventBlobsComplete {
}
impl Stream for EventBlobsComplete {
type Item = Result<EventChunkerItem, Error>;
type Item = Result<StreamItem<EventChunkerItem>, Error>;
fn poll_next(mut self: Pin<&mut Self>, cx: &mut Context<'_>) -> Poll<Option<Self::Item>> {
fn poll_next(mut self: Pin<&mut Self>, cx: &mut Context) -> Poll<Option<Self::Item>> {
use Poll::*;
'outer: loop {
break if self.completed {
@@ -99,7 +100,7 @@ impl Stream for EventBlobsComplete {
}
None => {}
}
Ready(Some(Ok(EventChunkerItem::Log(item))))
Ready(Some(Ok(StreamItem::Log(item))))
}
Err(e) => {
self.errored = true;
@@ -118,7 +119,7 @@ impl Stream for EventBlobsComplete {
self.node_ix
),
);
Ready(Some(Ok(EventChunkerItem::Log(item))))
Ready(Some(Ok(StreamItem::Log(item))))
}
Pending => Pending,
},

View File

@@ -1,4 +1,4 @@
use crate::streamlog::LogItem;
use crate::agg::streams::{StatsItem, StreamItem};
use crate::{FileChunkRead, NeedMinBuffer};
use bitshuffle::bitshuffle_decompress;
use bytes::{Buf, BytesMut};
@@ -348,12 +348,10 @@ impl EventFull {
pub enum EventChunkerItem {
Events(EventFull),
RangeComplete,
EventDataReadStats(EventDataReadStats),
Log(LogItem),
}
impl Stream for EventChunker {
type Item = Result<EventChunkerItem, Error>;
type Item = Result<StreamItem<EventChunkerItem>, Error>;
fn poll_next(mut self: Pin<&mut Self>, cx: &mut Context) -> Poll<Option<Self::Item>> {
use Poll::*;
@@ -368,7 +366,7 @@ impl Stream for EventChunker {
parsed_bytes: self.parsed_bytes,
};
self.parsed_bytes = 0;
let ret = EventChunkerItem::EventDataReadStats(item);
let ret = StreamItem::Stats(StatsItem::EventDataReadStats(item));
Ready(Some(Ok(ret)))
} else if self.sent_beyond_range {
self.completed = true;
@@ -376,7 +374,7 @@ impl Stream for EventChunker {
} else if self.final_stats_sent {
self.sent_beyond_range = true;
if self.seen_beyond_range {
Ready(Some(Ok(EventChunkerItem::RangeComplete)))
Ready(Some(Ok(StreamItem::DataItem(EventChunkerItem::RangeComplete))))
} else {
continue 'outer;
}
@@ -385,7 +383,7 @@ impl Stream for EventChunker {
parsed_bytes: self.parsed_bytes,
};
self.parsed_bytes = 0;
let ret = EventChunkerItem::EventDataReadStats(item);
let ret = StreamItem::Stats(StatsItem::EventDataReadStats(item));
self.final_stats_sent = true;
Ready(Some(Ok(ret)))
} else {
@@ -406,7 +404,7 @@ impl Stream for EventChunker {
} else {
let x = self.need_min;
self.inp.set_need_min(x);
let ret = EventChunkerItem::Events(res.events);
let ret = StreamItem::DataItem(EventChunkerItem::Events(res.events));
Ready(Some(Ok(ret)))
}
}

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@@ -1,3 +1,4 @@
use crate::agg::streams::StreamItem;
use crate::frame::makeframe::{INMEM_FRAME_FOOT, INMEM_FRAME_HEAD, INMEM_FRAME_MAGIC};
use bytes::{BufMut, Bytes, BytesMut};
use err::Error;
@@ -241,7 +242,7 @@ impl<T> Stream for InMemoryFrameAsyncReadStream<T>
where
T: AsyncRead + Unpin,
{
type Item = Result<InMemoryFrame, Error>;
type Item = Result<StreamItem<InMemoryFrame>, Error>;
fn poll_next(mut self: Pin<&mut Self>, cx: &mut Context) -> Poll<Option<Self::Item>> {
use Poll::*;
@@ -270,7 +271,7 @@ where
self.completed = true;
Ready(None)
}
Some(Some(Ok(k))) => Ready(Some(Ok(k))),
Some(Some(Ok(item))) => Ready(Some(Ok(StreamItem::DataItem(item)))),
Some(Some(Err(e))) => {
self.tryparse = false;
self.errored = true;

View File

@@ -25,10 +25,6 @@ impl FrameType for RawConnOut {
const FRAME_TYPE_ID: u32 = 0x04;
}
impl FrameType for Result<PreBinnedItem, Error> {
const FRAME_TYPE_ID: u32 = 0x05;
}
impl FrameType for Result<StreamItem<BinnedScalarStreamItem>, Error> {
const FRAME_TYPE_ID: u32 = 0x06;
}
@@ -37,6 +33,10 @@ impl FrameType for Result<MinMaxAvgScalarBinBatchStreamItem, Error> {
const FRAME_TYPE_ID: u32 = 0x07;
}
impl FrameType for Result<StreamItem<PreBinnedItem>, Error> {
const FRAME_TYPE_ID: u32 = 0x08;
}
pub fn make_frame<FT>(item: &FT) -> Result<BytesMut, Error>
where
FT: FrameType + Serialize,

View File

@@ -1,6 +1,5 @@
use crate::dataopen::open_files;
use crate::dtflags::{ARRAY, BIG_ENDIAN, COMPRESSION, SHAPE};
use crate::eventchunker::EventChunkerConf;
use bytes::{Bytes, BytesMut};
use err::Error;
use futures_core::Stream;
@@ -334,51 +333,6 @@ pub fn file_content_stream(
}
}
pub fn parsed1(
query: &netpod::AggQuerySingleChannel,
node: &Node,
stats_conf: EventChunkerConf,
) -> impl Stream<Item = Result<Bytes, Error>> + Send {
let query = query.clone();
let node = node.clone();
async_stream::stream! {
let filerx = open_files(err::todoval(), err::todoval(), node);
while let Ok(fileres) = filerx.recv().await {
match fileres {
Ok(file) => {
let inp = Box::pin(file_content_stream(file.file.unwrap(), query.buffer_size as usize));
let range = err::todoval();
let max_ts = err::todoval();
let mut chunker = eventchunker::EventChunker::from_event_boundary(inp, err::todoval(), range, stats_conf.clone(), file.path, max_ts);
while let Some(evres) = chunker.next().await {
use eventchunker::EventChunkerItem;
match evres {
Ok(EventChunkerItem::Events(evres)) => {
//let mut buf = BytesMut::with_capacity(16);
// TODO put some interesting information to test
//buf.put_u64_le(0xcafecafe);
//yield Ok(buf.freeze())
for bufopt in evres.decomps {
if let Some(buf) = bufopt {
yield Ok(buf.freeze());
}
}
}
Err(e) => {
yield Err(e)
}
_ => todo!(),
}
}
}
Err(e) => {
yield Err(e);
}
}
}
}
}
pub struct NeedMinBuffer {
inp: Pin<Box<dyn Stream<Item = Result<FileChunkRead, Error>> + Send>>,
need_min: u32,

View File

@@ -1,4 +1,5 @@
use crate::agg::eventbatch::{MinMaxAvgScalarEventBatch, MinMaxAvgScalarEventBatchStreamItem};
use crate::agg::streams::{StatsItem, StreamItem};
use crate::streamlog::LogItem;
use err::Error;
use futures_core::Stream;
@@ -11,7 +12,7 @@ use std::task::{Context, Poll};
pub struct MergedMinMaxAvgScalarStream<S>
where
S: Stream<Item = Result<MinMaxAvgScalarEventBatchStreamItem, Error>>,
S: Stream<Item = Result<StreamItem<MinMaxAvgScalarEventBatchStreamItem>, Error>>,
{
inps: Vec<S>,
current: Vec<MergedMinMaxAvgScalarStreamCurVal>,
@@ -31,7 +32,7 @@ where
impl<S> MergedMinMaxAvgScalarStream<S>
where
S: Stream<Item = Result<MinMaxAvgScalarEventBatchStreamItem, Error>> + Unpin,
S: Stream<Item = Result<StreamItem<MinMaxAvgScalarEventBatchStreamItem>, Error>> + Unpin,
{
pub fn new(inps: Vec<S>) -> Self {
let n = inps.len();
@@ -66,29 +67,35 @@ where
'l1: loop {
break match self.inps[i1].poll_next_unpin(cx) {
Ready(Some(Ok(k))) => match k {
MinMaxAvgScalarEventBatchStreamItem::Values(vals) => {
self.ixs[i1] = 0;
self.current[i1] = MergedMinMaxAvgScalarStreamCurVal::Val(vals);
}
MinMaxAvgScalarEventBatchStreamItem::RangeComplete => {
self.range_complete_observed[i1] = true;
let d = self.range_complete_observed.iter().filter(|&&k| k).count();
if d == self.range_complete_observed.len() {
self.range_complete_observed_all = true;
debug!("MergedMinMaxAvgScalarStream range_complete d {} COMPLETE", d);
} else {
trace!("MergedMinMaxAvgScalarStream range_complete d {}", d);
}
continue 'l1;
}
MinMaxAvgScalarEventBatchStreamItem::Log(item) => {
StreamItem::Log(item) => {
self.logitems.push_back(item);
continue 'l1;
}
MinMaxAvgScalarEventBatchStreamItem::EventDataReadStats(stats) => {
self.event_data_read_stats_items.push_back(stats);
StreamItem::Stats(item) => {
match item {
StatsItem::EventDataReadStats(item) => {
self.event_data_read_stats_items.push_back(item);
}
}
continue 'l1;
}
StreamItem::DataItem(item) => match item {
MinMaxAvgScalarEventBatchStreamItem::Values(vals) => {
self.ixs[i1] = 0;
self.current[i1] = MergedMinMaxAvgScalarStreamCurVal::Val(vals);
}
MinMaxAvgScalarEventBatchStreamItem::RangeComplete => {
self.range_complete_observed[i1] = true;
let d = self.range_complete_observed.iter().filter(|&&k| k).count();
if d == self.range_complete_observed.len() {
self.range_complete_observed_all = true;
debug!("MergedMinMaxAvgScalarStream range_complete d {} COMPLETE", d);
} else {
trace!("MergedMinMaxAvgScalarStream range_complete d {}", d);
}
continue 'l1;
}
},
},
Ready(Some(Err(e))) => {
// TODO emit this error, consider this stream as done, anything more to do here?
@@ -118,9 +125,9 @@ where
impl<S> Stream for MergedMinMaxAvgScalarStream<S>
where
S: Stream<Item = Result<MinMaxAvgScalarEventBatchStreamItem, Error>> + Unpin,
S: Stream<Item = Result<StreamItem<MinMaxAvgScalarEventBatchStreamItem>, Error>> + Unpin,
{
type Item = Result<MinMaxAvgScalarEventBatchStreamItem, Error>;
type Item = Result<StreamItem<MinMaxAvgScalarEventBatchStreamItem>, Error>;
fn poll_next(mut self: Pin<&mut Self>, cx: &mut Context) -> Poll<Option<Self::Item>> {
use Poll::*;
@@ -131,9 +138,9 @@ where
self.completed = true;
Ready(None)
} else if let Some(item) = self.logitems.pop_front() {
Ready(Some(Ok(MinMaxAvgScalarEventBatchStreamItem::Log(item))))
Ready(Some(Ok(StreamItem::Log(item))))
} else if let Some(item) = self.event_data_read_stats_items.pop_front() {
Ready(Some(Ok(MinMaxAvgScalarEventBatchStreamItem::EventDataReadStats(item))))
Ready(Some(Ok(StreamItem::Stats(StatsItem::EventDataReadStats(item)))))
} else if self.data_emit_complete {
if self.range_complete_observed_all {
if self.range_complete_observed_all_emitted {
@@ -141,7 +148,9 @@ where
Ready(None)
} else {
self.range_complete_observed_all_emitted = true;
Ready(Some(Ok(MinMaxAvgScalarEventBatchStreamItem::RangeComplete)))
Ready(Some(Ok(StreamItem::DataItem(
MinMaxAvgScalarEventBatchStreamItem::RangeComplete,
))))
}
} else {
self.completed = true;
@@ -174,7 +183,7 @@ where
let k = std::mem::replace(&mut self.batch, MinMaxAvgScalarEventBatch::empty());
let ret = MinMaxAvgScalarEventBatchStreamItem::Values(k);
self.data_emit_complete = true;
Ready(Some(Ok(ret)))
Ready(Some(Ok(StreamItem::DataItem(ret))))
} else {
self.data_emit_complete = true;
continue 'outer;
@@ -201,7 +210,7 @@ where
if self.batch.tss.len() >= self.batch_size {
let k = std::mem::replace(&mut self.batch, MinMaxAvgScalarEventBatch::empty());
let ret = MinMaxAvgScalarEventBatchStreamItem::Values(k);
Ready(Some(Ok(ret)))
Ready(Some(Ok(StreamItem::DataItem(ret))))
} else {
continue 'outer;
}

View File

@@ -6,6 +6,7 @@ to request such data from nodes.
*/
use crate::agg::eventbatch::MinMaxAvgScalarEventBatchStreamItem;
use crate::agg::streams::StreamItem;
use crate::frame::inmem::InMemoryFrameAsyncReadStream;
use crate::frame::makeframe::{make_frame, make_term_frame};
use crate::raw::bffr::MinMaxAvgScalarEventBatchStreamFromFrames;
@@ -39,7 +40,7 @@ pub async fn x_processed_stream_from_node(
query: EventsQuery,
perf_opts: PerfOpts,
node: Node,
) -> Result<Pin<Box<dyn Stream<Item = Result<MinMaxAvgScalarEventBatchStreamItem, Error>> + Send>>, Error> {
) -> Result<Pin<Box<dyn Stream<Item = Result<StreamItem<MinMaxAvgScalarEventBatchStreamItem>, Error>> + Send>>, Error> {
let net = TcpStream::connect(format!("{}:{}", node.host, node.port_raw)).await?;
let qjs = serde_json::to_string(&query)?;
let (netin, mut netout) = net.into_split();

View File

@@ -1,4 +1,5 @@
use crate::agg::eventbatch::MinMaxAvgScalarEventBatchStreamItem;
use crate::agg::streams::StreamItem;
use crate::frame::inmem::InMemoryFrameAsyncReadStream;
use crate::frame::makeframe::decode_frame;
use crate::raw::conn::RawConnOut;
@@ -36,7 +37,7 @@ impl<T> Stream for MinMaxAvgScalarEventBatchStreamFromFrames<T>
where
T: AsyncRead + Unpin,
{
type Item = Result<MinMaxAvgScalarEventBatchStreamItem, Error>;
type Item = Result<StreamItem<MinMaxAvgScalarEventBatchStreamItem>, Error>;
fn poll_next(mut self: Pin<&mut Self>, cx: &mut Context) -> Poll<Option<Self::Item>> {
use Poll::*;
@@ -48,38 +49,30 @@ where
Ready(None)
} else {
match self.inp.poll_next_unpin(cx) {
Ready(Some(Ok(frame))) => {
type ExpectedType = RawConnOut;
match decode_frame::<ExpectedType>(&frame) {
Ok(item) => match item {
Ok(item) => {
if false {
match &item {
MinMaxAvgScalarEventBatchStreamItem::EventDataReadStats(stats) => {
info!("✒✒ ✒✒ ✒✒ ✒✒ ✒✒ ✒✒ stats {:?}", stats);
}
_ => {
info!("✒ ✒ ✒ ✒ other kind")
}
}
Ready(Some(Ok(item))) => match item {
StreamItem::Log(item) => Ready(Some(Ok(StreamItem::Log(item)))),
StreamItem::Stats(item) => Ready(Some(Ok(StreamItem::Stats(item)))),
StreamItem::DataItem(frame) => {
type ExpectedType = RawConnOut;
match decode_frame::<ExpectedType>(&frame) {
Ok(item) => match item {
Ok(item) => Ready(Some(Ok(item))),
Err(e) => {
self.errored = true;
Ready(Some(Err(e)))
}
Ready(Some(Ok(item)))
}
},
Err(e) => {
error!(
"MinMaxAvgScalarEventBatchStreamFromFrames ~~~~~~~~ ERROR on frame payload {}",
frame.buf().len(),
);
self.errored = true;
Ready(Some(Err(e)))
}
},
Err(e) => {
error!(
"MinMaxAvgScalarEventBatchStreamFromFrames ~~~~~~~~ ERROR on frame payload {}",
frame.buf().len(),
);
self.errored = true;
Ready(Some(Err(e)))
}
}
}
},
Ready(Some(Err(e))) => {
self.errored = true;
Ready(Some(Err(e)))

View File

@@ -1,5 +1,6 @@
use crate::agg::binnedx::IntoBinnedXBins1;
use crate::agg::eventbatch::MinMaxAvgScalarEventBatchStreamItem;
use crate::agg::streams::StreamItem;
use crate::agg::IntoDim1F32Stream;
use crate::channelconfig::{extract_matching_config_entry, read_local_config};
use crate::eventblobs::EventBlobsComplete;
@@ -45,7 +46,7 @@ async fn raw_conn_handler(stream: TcpStream, addr: SocketAddr, node_config: Node
}
}
pub type RawConnOut = Result<MinMaxAvgScalarEventBatchStreamItem, Error>;
pub type RawConnOut = Result<StreamItem<MinMaxAvgScalarEventBatchStreamItem>, Error>;
async fn raw_conn_handler_inner(
stream: TcpStream,
@@ -95,9 +96,10 @@ async fn raw_conn_handler_inner_try(
.await
{
match k {
Ok(k) => {
frames.push(k);
Ok(StreamItem::DataItem(item)) => {
frames.push(item);
}
Ok(_) => {}
Err(e) => {
return Err((e, netout))?;
}
@@ -162,10 +164,11 @@ async fn raw_conn_handler_inner_try(
let mut e = 0;
while let Some(item) = s1.next().await {
match &item {
Ok(MinMaxAvgScalarEventBatchStreamItem::Values(_)) => {
Ok(StreamItem::DataItem(_)) => {
e += 1;
}
_ => (),
Ok(_) => {}
Err(_) => {}
}
match make_frame::<RawConnOut>(&item) {
Ok(buf) => match netout.write_all(&buf).await {

View File

@@ -1,6 +1,5 @@
use bytes::Bytes;
use disk::cache::{BinnedQuery, PreBinnedQuery};
use disk::eventchunker::EventChunkerConf;
use disk::raw::conn::raw_service;
use err::Error;
use future::Future;
@@ -11,7 +10,7 @@ use hyper::service::{make_service_fn, service_fn};
use hyper::{server::Server, Body, Request, Response};
use net::SocketAddr;
use netpod::log::*;
use netpod::{ByteSize, Node, NodeConfigCached};
use netpod::NodeConfigCached;
use panic::{AssertUnwindSafe, UnwindSafe};
use pin::Pin;
use serde::{Deserialize, Serialize};
@@ -124,12 +123,6 @@ async fn data_api_proxy_try(req: Request<Body>, node_config: &NodeConfigCached)
} else {
Ok(response(StatusCode::METHOD_NOT_ALLOWED).body(Body::empty())?)
}
} else if path == "/api/4/parsed_raw" {
if req.method() == Method::POST {
Ok(parsed_raw(req, &node_config.node).await?)
} else {
Ok(response(StatusCode::METHOD_NOT_ALLOWED).body(Body::empty())?)
}
} else if path == "/api/4/binned" {
if req.method() == Method::GET {
Ok(binned(req, node_config).await?)
@@ -173,28 +166,17 @@ where
.header("access-control-allow-headers", "*")
}
async fn parsed_raw(req: Request<Body>, node: &Node) -> Result<Response<Body>, Error> {
use netpod::AggQuerySingleChannel;
let reqbody = req.into_body();
let bodyslice = hyper::body::to_bytes(reqbody).await?;
let query: AggQuerySingleChannel = serde_json::from_slice(&bodyslice)?;
let event_chunker_conf = EventChunkerConf::new(ByteSize::kb(1024));
let s = disk::parsed1(&query, node, event_chunker_conf);
let res = response(StatusCode::OK).body(Body::wrap_stream(s))?;
Ok(res)
}
struct BodyStreamWrap(netpod::BodyStream);
impl hyper::body::HttpBody for BodyStreamWrap {
type Data = bytes::Bytes;
type Error = Error;
fn poll_data(self: Pin<&mut Self>, _cx: &mut Context<'_>) -> Poll<Option<Result<Self::Data, Self::Error>>> {
fn poll_data(self: Pin<&mut Self>, _cx: &mut Context) -> Poll<Option<Result<Self::Data, Self::Error>>> {
todo!()
}
fn poll_trailers(self: Pin<&mut Self>, _cx: &mut Context<'_>) -> Poll<Result<Option<HeaderMap>, Self::Error>> {
fn poll_trailers(self: Pin<&mut Self>, _cx: &mut Context) -> Poll<Result<Option<HeaderMap>, Self::Error>> {
Poll::Ready(Ok(None))
}
}

View File

@@ -81,41 +81,51 @@ pub async fn get_binned(
.map_err(|e| error!("get_binned {:?}", e))
.filter_map(|item| {
let g = match item {
Ok(frame) => {
type _ExpectedType2 = disk::binned::BinnedBytesForHttpStreamFrame;
type ExpectedType = Result<StreamItem<BinnedScalarStreamItem>, Error>;
let type_id_exp = <ExpectedType as FrameType>::FRAME_TYPE_ID;
if frame.tyid() != type_id_exp {
error!("unexpected type id got {} exp {}", frame.tyid(), type_id_exp);
Ok(item) => match item {
StreamItem::Log(item) => {
Streamlog::emit(&item);
None
}
let n1 = frame.buf().len();
match bincode::deserialize::<ExpectedType>(frame.buf()) {
Ok(item) => match item {
Ok(item) => {
match item {
StreamItem::Log(item) => {
Streamlog::emit(&item);
}
StreamItem::Stats(item) => {
info!("Stats: {:?}", item);
}
StreamItem::DataItem(item) => {
info!("DataItem: {:?}", item);
StreamItem::Stats(item) => {
info!("Stats: {:?}", item);
None
}
StreamItem::DataItem(frame) => {
type _ExpectedType2 = disk::binned::BinnedBytesForHttpStreamFrame;
type ExpectedType = Result<StreamItem<BinnedScalarStreamItem>, Error>;
let type_id_exp = <ExpectedType as FrameType>::FRAME_TYPE_ID;
if frame.tyid() != type_id_exp {
error!("unexpected type id got {} exp {}", frame.tyid(), type_id_exp);
}
let n1 = frame.buf().len();
match bincode::deserialize::<ExpectedType>(frame.buf()) {
Ok(item) => match item {
Ok(item) => {
match item {
StreamItem::Log(item) => {
Streamlog::emit(&item);
}
StreamItem::Stats(item) => {
info!("Stats: {:?}", item);
}
StreamItem::DataItem(item) => {
info!("DataItem: {:?}", item);
}
}
Some(Ok(()))
}
Some(Ok(()))
}
Err(e) => {
error!("len {} error frame {:?}", n1, e);
Some(Err(e))
}
},
Err(e) => {
error!("len {} error frame {:?}", n1, e);
Some(Err(e))
error!("len {} bincode error {:?}", n1, e);
Some(Err(e.into()))
}
},
Err(e) => {
error!("len {} bincode error {:?}", n1, e);
Some(Err(e.into()))
}
}
}
},
Err(e) => Some(Err(Error::with_msg(format!("{:?}", e)))),
};
ready(g)

View File

@@ -151,32 +151,41 @@ where
.map_err(|e| error!("TEST GOT ERROR {:?}", e))
.filter_map(|item| {
let g = match item {
Ok(frame) => {
type ExpectedType = disk::binned::BinnedBytesForHttpStreamFrame;
//info!("TEST GOT FRAME len {}", frame.buf().len());
match bincode::deserialize::<ExpectedType>(frame.buf()) {
Ok(item) => match item {
Ok(item) => match item {
StreamItem::Log(item) => {
Streamlog::emit(&item);
None
}
StreamItem::Stats(item) => {
info!("Stats: {:?}", item);
None
}
StreamItem::DataItem(frame) => {
type ExpectedType = disk::binned::BinnedBytesForHttpStreamFrame;
match bincode::deserialize::<ExpectedType>(frame.buf()) {
Ok(item) => match item {
StreamItem::Log(item) => {
Streamlog::emit(&item);
Some(Ok(StreamItem::Log(item)))
}
item => {
info!("TEST GOT ITEM {:?}", item);
Some(Ok(item))
Ok(item) => match item {
StreamItem::Log(item) => {
Streamlog::emit(&item);
Some(Ok(StreamItem::Log(item)))
}
item => {
info!("TEST GOT ITEM {:?}", item);
Some(Ok(item))
}
},
Err(e) => {
error!("TEST GOT ERROR FRAME: {:?}", e);
Some(Err(e))
}
},
Err(e) => {
error!("TEST GOT ERROR FRAME: {:?}", e);
Some(Err(e))
error!("bincode error: {:?}", e);
Some(Err(e.into()))
}
},
Err(e) => {
error!("bincode error: {:?}", e);
Some(Err(e.into()))
}
}
}
},
Err(e) => Some(Err(Error::with_msg(format!("WEIRD EMPTY ERROR {:?}", e)))),
};
ready(g)