See
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/952/display/redirect?page=changes>
Changes:
[noreply] Merge pull request #12580 from [BEAM-2855] nexmark python suite
[noreply] [BEAM-9918] Adding tests and documentation to xlang components
(#12667)
------------------------------------------
[...truncated 5.52 MB...]
{
"encoding": {
"@type": "kind:windowed_value",
"component_encodings": [
{
"@type": "FastPrimitivesCoder$<string of 176 bytes>",
"component_encodings": [
{
"@type": "FastPrimitivesCoder$<string of 176 bytes>",
"component_encodings": [],
"pipeline_proto_coder_id":
"ref_Coder_FastPrimitivesCoder_4"
},
{
"@type": "FastPrimitivesCoder$<string of 176 bytes>",
"component_encodings": [],
"pipeline_proto_coder_id":
"ref_Coder_FastPrimitivesCoder_4"
}
],
"is_pair_like": true,
"pipeline_proto_coder_id": "ref_Coder_FastPrimitivesCoder_4"
},
{
"@type": "kind:global_window"
}
],
"is_wrapper": true
},
"output_name": "None",
"user_name": "assert_that/Unkey.out"
}
],
"parallel_input": {
"@type": "OutputReference",
"output_name": "None",
"step_name": "s19"
},
"serialized_fn": "ref_AppliedPTransform_assert_that/Unkey_29",
"user_name": "assert_that/Unkey"
}
},
{
"kind": "ParallelDo",
"name": "s21",
"properties": {
"display_data": [
{
"key": "fn",
"label": "Transform Function",
"namespace": "apache_beam.transforms.core.CallableWrapperDoFn",
"type": "STRING",
"value": "_equal"
},
{
"key": "fn",
"label": "Transform Function",
"namespace": "apache_beam.transforms.core.ParDo",
"shortValue": "CallableWrapperDoFn",
"type": "STRING",
"value": "apache_beam.transforms.core.CallableWrapperDoFn"
}
],
"non_parallel_inputs": {},
"output_info": [
{
"encoding": {
"@type": "kind:windowed_value",
"component_encodings": [
{
"@type": "FastPrimitivesCoder$<string of 176 bytes>",
"component_encodings": [
{
"@type": "FastPrimitivesCoder$<string of 176 bytes>",
"component_encodings": [],
"pipeline_proto_coder_id":
"ref_Coder_FastPrimitivesCoder_4"
},
{
"@type": "FastPrimitivesCoder$<string of 176 bytes>",
"component_encodings": [],
"pipeline_proto_coder_id":
"ref_Coder_FastPrimitivesCoder_4"
}
],
"is_pair_like": true,
"pipeline_proto_coder_id": "ref_Coder_FastPrimitivesCoder_4"
},
{
"@type": "kind:global_window"
}
],
"is_wrapper": true
},
"output_name": "None",
"user_name": "assert_that/Match.out"
}
],
"parallel_input": {
"@type": "OutputReference",
"output_name": "None",
"step_name": "s20"
},
"serialized_fn": "ref_AppliedPTransform_assert_that/Match_30",
"user_name": "assert_that/Match"
}
}
],
"type": "JOB_TYPE_STREAMING"
}
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
createTime: u'2020-08-22T06:57:41.014427Z'
currentStateTime: u'1970-01-01T00:00:00Z'
id: u'2020-08-21_23_57_39-16648433419879320058'
location: u'us-central1'
name: u'beamapp-jenkins-0822065729-379729'
projectId: u'apache-beam-testing'
stageStates: []
startTime: u'2020-08-22T06:57:41.014427Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id:
[2020-08-21_23_57_39-16648433419879320058]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job:
2020-08-21_23_57_39-16648433419879320058
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow
monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-21_23_57_39-16648433419879320058?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2020-08-21_23_49_06-17041485574224907338 is in state JOB_STATE_DONE
WARNING:apache_beam.runners.dataflow.test_dataflow_runner:Waiting indefinitely
for streaming job.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2020-08-21_23_57_39-16648433419879320058 is in state JOB_STATE_RUNNING
test_iterable_side_input
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:40.017Z:
JOB_MESSAGE_DETAILED: Autoscaling is enabled for job
2020-08-21_23_57_39-16648433419879320058. The number of workers will be between
1 and 100.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:40.017Z:
JOB_MESSAGE_WARNING: Autoscaling is enabled for Dataflow Streaming Engine.
Workers will scale between 1 and 100 unless maxNumWorkers is specified.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:40.017Z:
JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job
2020-08-21_23_57_39-16648433419879320058.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:43.989Z:
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:44.699Z:
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:44.730Z:
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:44.797Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:44.828Z:
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step
assert_that/Group/GroupByKey: GroupByKey not followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:44.863Z:
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey: GroupByKey not
followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:44.886Z:
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:44.915Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:45.006Z:
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:45.102Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:45.149Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:45.173Z:
JOB_MESSAGE_DETAILED: Unzipping flatten s17 for input s15.None
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:45.204Z:
JOB_MESSAGE_DETAILED: Fusing unzipped copy of
assert_that/Group/GroupByKey/WriteStream, through flatten
assert_that/Group/Flatten, into producer assert_that/Group/pair_with_0
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:45.240Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/WriteStream
into assert_that/Group/pair_with_1
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:45.275Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets into
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:45.304Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
into Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:45.337Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys into
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:45.361Z:
JOB_MESSAGE_DETAILED: Fusing consumer Create/Map(decode) into
Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:45.392Z:
JOB_MESSAGE_DETAILED: Fusing consumer Key param into Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:45.422Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/WindowInto(WindowIntoFn) into
Key param
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:45.477Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/ToVoidKey into
assert_that/WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:45.509Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_1 into
assert_that/ToVoidKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:45.543Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/MergeBuckets
into assert_that/Group/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:45.577Z:
JOB_MESSAGE_DETAILED: Fusing consumer
assert_that/Group/Map(_merge_tagged_vals_under_key) into
assert_that/Group/GroupByKey/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:45.614Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Unkey into
assert_that/Group/Map(_merge_tagged_vals_under_key)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:45.649Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Match into assert_that/Unkey
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:45.666Z:
JOB_MESSAGE_DETAILED: Fusing consumer Create/FlatMap(<lambda at core.py:2838>)
into Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:45.715Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/FlatMap(<lambda at
core.py:2838>) into assert_that/Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:45.747Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/Map(decode) into
assert_that/Create/FlatMap(<lambda at core.py:2838>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:45.768Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_0 into
assert_that/Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:45.798Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Create/MaybeReshuffle/Reshuffle/AddRandomKeys into Create/FlatMap(<lambda at
core.py:2838>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:45.834Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into
Create/MaybeReshuffle/Reshuffle/AddRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:45.859Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/WriteStream into
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:45.892Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:45.930Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:45.965Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:46.001Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:48.227Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:48.255Z:
JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:57:48.295Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:58:07.640Z:
JOB_MESSAGE_DETAILED: Autoscaling: Reduced the number of workers to 0 based on
low average worker CPU utilization, and the pipeline having sufficiently low
backlog and keeping up with input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:58:07.689Z:
JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:58:07.729Z:
JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:58:11.903Z:
JOB_MESSAGE_WARNING: Your project already contains 100 Dataflow-created metric
descriptors and Stackdriver will not create new Dataflow custom metrics for
this job. Each unique user-defined metric name (independent of the DoFn in
which it is defined) produces a new metric descriptor. To delete old / unused
metric descriptors see
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list
and
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2020-08-21_23_49_05-2345730440107199043 is in state JOB_STATE_DONE
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:58:21.213Z:
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of workers to 1 so that
the pipeline can catch up with its backlog and keep up with its input rate.
test_empty_singleton_side_input
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:59:08.295Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T06:59:08.317Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:oauth2client.transport:Refreshing due to a 401 (attempt 1/2)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T07:04:51.013Z:
JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T07:04:51.068Z:
JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T07:04:51.103Z:
JOB_MESSAGE_BASIC: Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T07:04:51.135Z:
JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T07:04:51.169Z:
JOB_MESSAGE_BASIC: Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T07:05:39.744Z:
JOB_MESSAGE_DETAILED: Autoscaling: Reduced the number of workers to 0 based on
low average worker CPU utilization, and the pipeline having sufficiently low
backlog and keeping up with input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T07:05:39.778Z:
JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-22T07:05:39.806Z:
JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2020-08-21_23_57_39-16648433419879320058 is in state JOB_STATE_DONE
test_element_param (apache_beam.pipeline_test.DoFnTest) ... ok
test_key_param (apache_beam.pipeline_test.DoFnTest) ... ok
----------------------------------------------------------------------
XML: nosetests-validatesRunnerStreamingTests-df-py27.xml
----------------------------------------------------------------------
XML:
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 27 tests in 2040.463s
OK
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-21_23_32_08-12332471631990280038?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-21_23_40_44-15963965322240179951?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-21_23_49_13-14234445903940646000?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-21_23_57_39-16648433419879320058?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-21_23_32_09-16131835784240949681?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-21_23_40_40-15389534878923255717?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-21_23_49_11-786969705501786127?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-21_23_32_09-10096494149872277772?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-21_23_39_12-1240670825685974165?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-21_23_32_09-3768912181601890045?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-21_23_40_41-6310963053378078938?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-21_23_49_06-17041485574224907338?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-21_23_32_09-1973614036476527928?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-21_23_39_36-16723806708180841830?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-21_23_48_12-14790275409210623075?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-21_23_32_07-15558715349312440657?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-21_23_40_36-12102711460599409174?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-21_23_49_05-2345730440107199043?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-21_23_32_09-14674755705571079320?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-21_23_40_41-14749116381323767780?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-21_23_49_05-7699237088040439950?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-21_23_32_09-1261778791647726336?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-21_23_40_37-3702092462530559385?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-21_23_49_02-18363282975594474967?project=apache-beam-testing
FAILURE: Build failed with an exception.
* Where:
Script
'<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/test-suites/dataflow/common.gradle'>
line: 146
* What went wrong:
Execution failed for task
':sdks:python:test-suites:dataflow:py2:validatesRunnerBatchTests'.
> Process 'command 'sh'' finished with non-zero exit value 1
* Try:
Run with --stacktrace option to get the stack trace. Run with --info or --debug
option to get more log output. Run with --scan to get full insights.
* Get more help at https://help.gradle.org
Deprecated Gradle features were used in this build, making it incompatible with
Gradle 6.0.
Use '--warning-mode all' to show the individual deprecation warnings.
See
https://docs.gradle.org/5.2.1/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 1h 5m 25s
65 actionable tasks: 47 executed, 18 from cache
Publishing build scan...
https://gradle.com/s/q7stgxlqzg3pw
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
