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https://issues.apache.org/jira/browse/BEAM-6374?focusedWorklogId=634902&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-634902
]
ASF GitHub Bot logged work on BEAM-6374:
----------------------------------------
Author: ASF GitHub Bot
Created on: 06/Aug/21 01:02
Start Date: 06/Aug/21 01:02
Worklog Time Spent: 10m
Work Description: ajamato commented on a change in pull request #15289:
URL: https://github.com/apache/beam/pull/15289#discussion_r683867941
##########
File path: sdks/go/pkg/beam/core/runtime/harness/monitoring.go
##########
@@ -163,38 +162,65 @@ func monitoring(p *exec.Plan) ([]*pipepb.MonitoringInfo,
map[string][]byte) {
}.ExtractFrom(store)
// Get the execution monitoring information from the bundle plan.
- if snapshot, ok := p.Progress(); ok {
- payload, err := metricsx.Int64Counter(snapshot.Count)
+
+ snapshot, ok := p.Progress()
+ if !ok {
+ return monitoringInfo, payloads
+ }
+ for _, pcol := range snapshot.PCols {
+ payload, err := metricsx.Int64Counter(pcol.ElementCount)
if err != nil {
panic(err)
}
// TODO(BEAM-9934): This metric should account for elements in
multiple windows.
- payloads[getShortID(metrics.PCollectionLabels(snapshot.PID),
metricsx.UrnElementCount)] = payload
+ payloads[getShortID(metrics.PCollectionLabels(pcol.ID),
metricsx.UrnElementCount)] = payload
+
monitoringInfo = append(monitoringInfo,
&pipepb.MonitoringInfo{
Urn:
metricsx.UrnToString(metricsx.UrnElementCount),
Type:
metricsx.UrnToType(metricsx.UrnElementCount),
Labels: map[string]string{
- "PCOLLECTION": snapshot.PID,
+ "PCOLLECTION": pcol.ID,
},
Payload: payload,
})
- payloads[getShortID(metrics.PTransformLabels(snapshot.ID),
metricsx.UrnDataChannelReadIndex)] = payload
- monitoringInfo = append(monitoringInfo,
- &pipepb.MonitoringInfo{
- Urn:
metricsx.UrnToString(metricsx.UrnDataChannelReadIndex),
- Type:
metricsx.UrnToType(metricsx.UrnDataChannelReadIndex),
- Labels: map[string]string{
- "PTRANSFORM": snapshot.ID,
- },
- Payload: payload,
- })
+ // Skip pcollections without size
+ if pcol.SizeCount != 0 {
+ payload, err :=
metricsx.Int64Distribution(pcol.SizeCount, pcol.SizeSum, pcol.SizeMin,
pcol.SizeMax)
+ if err != nil {
+ panic(err)
+ }
+ monitoringInfo = append(monitoringInfo,
+ &pipepb.MonitoringInfo{
+ Urn:
"beam:metric:sampled_byte_size:v1",
+ Type:
"beam:metrics:distribution_int_64",
+ Labels: map[string]string{
+ "PCOLLECTION": pcol.ID,
Review comment:
This must be the exact same string as the pcollection id passed into the
ProcessBundleDescriptor
https://github.com/apache/beam/blob/243128a8fc52798e1b58b0cf1a271d95ee7aa241/model/fn-execution/src/main/proto/beam_fn_api.proto#L198
##########
File path: sdks/go/pkg/beam/core/runtime/harness/monitoring.go
##########
@@ -163,38 +162,65 @@ func monitoring(p *exec.Plan) ([]*pipepb.MonitoringInfo,
map[string][]byte) {
}.ExtractFrom(store)
// Get the execution monitoring information from the bundle plan.
- if snapshot, ok := p.Progress(); ok {
- payload, err := metricsx.Int64Counter(snapshot.Count)
+
+ snapshot, ok := p.Progress()
+ if !ok {
+ return monitoringInfo, payloads
+ }
+ for _, pcol := range snapshot.PCols {
+ payload, err := metricsx.Int64Counter(pcol.ElementCount)
if err != nil {
panic(err)
}
// TODO(BEAM-9934): This metric should account for elements in
multiple windows.
- payloads[getShortID(metrics.PCollectionLabels(snapshot.PID),
metricsx.UrnElementCount)] = payload
+ payloads[getShortID(metrics.PCollectionLabels(pcol.ID),
metricsx.UrnElementCount)] = payload
+
monitoringInfo = append(monitoringInfo,
&pipepb.MonitoringInfo{
Urn:
metricsx.UrnToString(metricsx.UrnElementCount),
Type:
metricsx.UrnToType(metricsx.UrnElementCount),
Labels: map[string]string{
- "PCOLLECTION": snapshot.PID,
+ "PCOLLECTION": pcol.ID,
},
Payload: payload,
})
- payloads[getShortID(metrics.PTransformLabels(snapshot.ID),
metricsx.UrnDataChannelReadIndex)] = payload
- monitoringInfo = append(monitoringInfo,
- &pipepb.MonitoringInfo{
- Urn:
metricsx.UrnToString(metricsx.UrnDataChannelReadIndex),
- Type:
metricsx.UrnToType(metricsx.UrnDataChannelReadIndex),
- Labels: map[string]string{
- "PTRANSFORM": snapshot.ID,
- },
- Payload: payload,
- })
+ // Skip pcollections without size
+ if pcol.SizeCount != 0 {
+ payload, err :=
metricsx.Int64Distribution(pcol.SizeCount, pcol.SizeSum, pcol.SizeMin,
pcol.SizeMax)
+ if err != nil {
+ panic(err)
+ }
+ monitoringInfo = append(monitoringInfo,
+ &pipepb.MonitoringInfo{
+ Urn:
"beam:metric:sampled_byte_size:v1",
+ Type:
"beam:metrics:distribution_int_64",
Review comment:
Maybe use the same pattern as above
Urn: metricsx.UrnToString(metricsx.UrnSampledByteSize),
Type: metricsx.UrnToType(metricsx.UrnSampledByteSize),
##########
File path: sdks/go/pkg/beam/core/runtime/harness/harness.go
##########
@@ -305,7 +313,7 @@ func (c *control) handleInstruction(ctx context.Context,
req *fnpb.InstructionRe
data.Close()
state.Close()
- mons, pylds := monitoring(plan)
+ mons, pylds := monitoring(plan, store)
Review comment:
Just an FYI
You only should populate ProcessBundleResponse's monitoring_data. And should
NOT populate monitoring_infos which is deprecated.
https://github.com/apache/beam/blob/243128a8fc52798e1b58b0cf1a271d95ee7aa241/model/fn-execution/src/main/proto/beam_fn_api.proto#L328
You will need to implement the MonitoringInfoMetadataResposne instruction
for the InstructionRequest/Response
https://github.com/apache/beam/blob/243128a8fc52798e1b58b0cf1a271d95ee7aa241/model/fn-execution/src/main/proto/beam_fn_api.proto#L138
On the MonitoringInfosMetadataResponse you will provide full MonitoringInfos.
This is the optimization to prevent sending all that data on every
ProcessBundle[Progress]Response
(I'm a bit unclear on what's being done with short ids here. You may already
be doing this correctly)
##########
File path: sdks/go/pkg/beam/core/runtime/exec/pcollection.go
##########
@@ -0,0 +1,153 @@
+// Licensed to the Apache Software Foundation (ASF) under one or more
+// contributor license agreements. See the NOTICE file distributed with
+// this work for additional information regarding copyright ownership.
+// The ASF licenses this file to You under the Apache License, Version 2.0
+// (the "License"); you may not use this file except in compliance with
+// the License. You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+package exec
+
+import (
+ "context"
+ "fmt"
+ "math"
+ "math/rand"
+ "sync"
+ "sync/atomic"
+
+ "github.com/apache/beam/sdks/go/pkg/beam/core/graph/coder"
+)
+
+// PCollection is a passthrough node to collect PCollection metrics, and
+// must be placed as the Out node of any producer of a PCollection.
+//
+// In particular, must not be placed after a Multiplex, and must be placed
+// after a Flatten.
+type PCollection struct {
Review comment:
FWIW here are the implementations in java and python
https://github.com/apache/beam/pull/8416
https://github.com/apache/beam/commit/d807210c3aa28f34c13b89f3f16bc104051532b0
I dunno if you really need to introduce a PCollection abstraction for it.
There might be simpler ways.
I also will point out that it may not be wise to run the coder on every
element. Instead run it on a random sample of elements only. Doing it on every
element will degrade performance.
I believe the algorithm in java was to record the first N elements. Then
randomly record elements with smaller and smaller frequency based on the number
of elements which were already sampled.
##########
File path: sdks/go/pkg/beam/core/runtime/harness/monitoring.go
##########
@@ -163,38 +162,65 @@ func monitoring(p *exec.Plan) ([]*pipepb.MonitoringInfo,
map[string][]byte) {
}.ExtractFrom(store)
// Get the execution monitoring information from the bundle plan.
- if snapshot, ok := p.Progress(); ok {
- payload, err := metricsx.Int64Counter(snapshot.Count)
+
+ snapshot, ok := p.Progress()
+ if !ok {
+ return monitoringInfo, payloads
+ }
+ for _, pcol := range snapshot.PCols {
+ payload, err := metricsx.Int64Counter(pcol.ElementCount)
if err != nil {
panic(err)
}
// TODO(BEAM-9934): This metric should account for elements in
multiple windows.
- payloads[getShortID(metrics.PCollectionLabels(snapshot.PID),
metricsx.UrnElementCount)] = payload
+ payloads[getShortID(metrics.PCollectionLabels(pcol.ID),
metricsx.UrnElementCount)] = payload
+
monitoringInfo = append(monitoringInfo,
&pipepb.MonitoringInfo{
Urn:
metricsx.UrnToString(metricsx.UrnElementCount),
Type:
metricsx.UrnToType(metricsx.UrnElementCount),
Labels: map[string]string{
- "PCOLLECTION": snapshot.PID,
+ "PCOLLECTION": pcol.ID,
},
Payload: payload,
})
- payloads[getShortID(metrics.PTransformLabels(snapshot.ID),
metricsx.UrnDataChannelReadIndex)] = payload
- monitoringInfo = append(monitoringInfo,
- &pipepb.MonitoringInfo{
- Urn:
metricsx.UrnToString(metricsx.UrnDataChannelReadIndex),
- Type:
metricsx.UrnToType(metricsx.UrnDataChannelReadIndex),
- Labels: map[string]string{
- "PTRANSFORM": snapshot.ID,
- },
- Payload: payload,
- })
+ // Skip pcollections without size
+ if pcol.SizeCount != 0 {
+ payload, err :=
metricsx.Int64Distribution(pcol.SizeCount, pcol.SizeSum, pcol.SizeMin,
pcol.SizeMax)
+ if err != nil {
+ panic(err)
+ }
+ monitoringInfo = append(monitoringInfo,
+ &pipepb.MonitoringInfo{
+ Urn:
"beam:metric:sampled_byte_size:v1",
+ Type:
"beam:metrics:distribution_int_64",
+ Labels: map[string]string{
+ "PCOLLECTION": pcol.ID,
Review comment:
Otherwise looks like it matches the spec :)
https://github.com/apache/beam/blob/4a78a81f1e9f2f9f73eda34c9eb5651eb9dad885/model/pipeline/src/main/proto/metrics.proto#L216
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Issue Time Tracking
-------------------
Worklog Id: (was: 634902)
Time Spent: 2h 20m (was: 2h 10m)
> "elements added" for input and output collections is always empty
> -----------------------------------------------------------------
>
> Key: BEAM-6374
> URL: https://issues.apache.org/jira/browse/BEAM-6374
> Project: Beam
> Issue Type: Bug
> Components: runner-dataflow, sdk-go
> Reporter: Andrew Brampton
> Priority: P3
> Time Spent: 2h 20m
> Remaining Estimate: 0h
>
> The field for "Elements added" and "Estimated size" is always blank when
> running a Go binary on Dataflow. For example when running the work count
> example: https://pasteboard.co/HVf80BU.png
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