[jira] [Reopened] (SPARK-33564) Prometheus metrics for Master and Worker isn't working
[
https://issues.apache.org/jira/browse/SPARK-33564?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Paulo Roberto de Oliveira Castro reopened SPARK-33564:
--
Just to understand, the configuration needs to be set up before
start-master.sh? If that is the case, how do I change metrics configs between
applications? Is it possible to run one application using PrometheusServlet and
another application to use a different sink on this same cluster?
Also, is there documentation about the subject? Because nowhere it is mentioned
that the conf should be set before starting the cluster.
Final question: how to achieve this using YARN? Do I have to have the metrics
config set before launching YARN?
> Prometheus metrics for Master and Worker isn't working
> ---
>
> Key: SPARK-33564
> URL: https://issues.apache.org/jira/browse/SPARK-33564
> Project: Spark
> Issue Type: Bug
> Components: Spark Core, Spark Shell
>Affects Versions: 3.0.0, 3.0.1
>Reporter: Paulo Roberto de Oliveira Castro
>Priority: Major
> Labels: Metrics, metrics, prometheus
>
> Following the [PR|https://github.com/apache/spark/pull/25769] that introduced
> the Prometheus sink, I downloaded the {{spark-3.0.1-bin-hadoop2.7.tgz}}
> (also tested with 3.0.0), uncompressed the tgz and created a file called
> {{metrics.properties}} adding this content:
> {quote}{{*.sink.prometheusServlet.class=org.apache.spark.metrics.sink.PrometheusServlet}}
> {{*.sink.prometheusServlet.path=/metrics/prometheus}}
> master.sink.prometheusServlet.path=/metrics/master/prometheus
> applications.sink.prometheusServlet.path=/metrics/applications/prometheus
> {quote}
> Then I ran:
> {quote}{{$ sbin/start-master.sh}}
> {{$ sbin/start-slave.sh spark://`hostname`:7077}}
> {{$ bin/spark-shell --master spark://`hostname`:7077
> --files=./metrics.properties --conf spark.metrics.conf=./metrics.properties}}
> {quote}
> {{The Spark shell opens without problems:}}
> {quote}{{20/11/25 17:36:07 WARN NativeCodeLoader: Unable to load
> native-hadoop library for your platform... using builtin-java classes where
> applicable}}
> {{Using Spark's default log4j profile:
> org/apache/spark/log4j-defaults.properties}}
> {{Setting default log level to "WARN".}}
> {{To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use
> setLogLevel(newLevel).}}
> {{Spark context Web UI available at
> [http://192.168.0.6:4040|http://192.168.0.6:4040/]}}
> {{Spark context available as 'sc' (master =
> spark://MacBook-Pro-de-Paulo-2.local:7077, app id =
> app-20201125173618-0002).}}
> {{Spark session available as 'spark'.}}
> {{Welcome to}}
> {{ __}}
> {{ / __/_ _/ /__}}
> {{ _\ \/ _ \/ _ `/ __/ '_/}}
> {{ /___/ .__/_,_/_/ /_/_\ version 3.0.0}}
> {{ /_/}}
> {{ }}
> {{Using Scala version 2.12.10 (OpenJDK 64-Bit Server VM, Java 1.8.0_212)}}
> {{Type in expressions to have them evaluated.}}
> {{Type :help for more information. }}
> {{scala>}}
> {quote}
> {{And when I try to fetch prometheus metrics for driver, everything works
> fine:}}
> {quote}$ curl -s [http://localhost:4040/metrics/prometheus/] | head -n 5
> metrics_app_20201125173618_0002_driver_BlockManager_disk_diskSpaceUsed_MB_Number\{type="gauges"}
> 0
> metrics_app_20201125173618_0002_driver_BlockManager_disk_diskSpaceUsed_MB_Value\{type="gauges"}
> 0
> metrics_app_20201125173618_0002_driver_BlockManager_memory_maxMem_MB_Number\{type="gauges"}
> 732
> metrics_app_20201125173618_0002_driver_BlockManager_memory_maxMem_MB_Value\{type="gauges"}
> 732
> metrics_app_20201125173618_0002_driver_BlockManager_memory_maxOffHeapMem_MB_Number\{type="gauges"}
> 0
> {quote}
> *The problem appears when I try accessing master metrics*, and I get the
> following problem:
> {quote}{{$ curl -s [http://localhost:8080/metrics/master/prometheus]}}
> {{}}
> {{ }}
> {{ type="text/css"/> href="/static/vis-timeline-graph2d.min.css" type="text/css"/> rel="stylesheet" href="/static/webui.css" type="text/css"/> rel="stylesheet" href="/static/timeline-view.css" type="text/css"/> src="/static/sorttable.js"> src="/static/jquery-3.4.1.min.js"> src="/static/vis-timeline-graph2d.min.js"> src="/static/bootstrap-tooltip.js"> src="/static/initialize-tooltips.js"> src="/static/table.js"> src="/static/timeline-view.js"> src="/static/log-view.js"> src="/static/webui.js">setUIRoot('')}}
> {{ }}
> {{ href="/static/spark-logo-77x50px-hd.png">}}
> {{ Spark Master at
> spark://MacBook-Pro-de-Paulo-2.local:7077}}
> {{ }}
> {{ }}
> {{ }}
> {{ }}
> {{ }}
> {{ }}
> {{ }}
> {{ }}
> {{ 3.0.0}}
> {{ }}
> {{ Spark Master
[jira] [Issue Comment Deleted] (SPARK-33564) Prometheus metrics for Master and Worker isn't working
[
https://issues.apache.org/jira/browse/SPARK-33564?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Paulo Roberto de Oliveira Castro updated SPARK-33564:
-
Comment: was deleted
(was: Just to understand, the configuration needs to be set up before
start-master.sh? If that is the case, how do I change metrics configs between
applications? Is it possible to run one application using PrometheusServlet and
another application to use a different sink on this same cluster?
Also, is there documentation about the subject? Because nowhere it is mentioned
that the conf should be set before starting the cluster.
Final question: how to achieve this using YARN? Do I have to have the metrics
config set before launching YARN?)
> Prometheus metrics for Master and Worker isn't working
> ---
>
> Key: SPARK-33564
> URL: https://issues.apache.org/jira/browse/SPARK-33564
> Project: Spark
> Issue Type: Bug
> Components: Spark Core, Spark Shell
>Affects Versions: 3.0.0, 3.0.1
>Reporter: Paulo Roberto de Oliveira Castro
>Priority: Major
> Labels: Metrics, metrics, prometheus
>
> Following the [PR|https://github.com/apache/spark/pull/25769] that introduced
> the Prometheus sink, I downloaded the {{spark-3.0.1-bin-hadoop2.7.tgz}}
> (also tested with 3.0.0), uncompressed the tgz and created a file called
> {{metrics.properties}} adding this content:
> {quote}{{*.sink.prometheusServlet.class=org.apache.spark.metrics.sink.PrometheusServlet}}
> {{*.sink.prometheusServlet.path=/metrics/prometheus}}
> master.sink.prometheusServlet.path=/metrics/master/prometheus
> applications.sink.prometheusServlet.path=/metrics/applications/prometheus
> {quote}
> Then I ran:
> {quote}{{$ sbin/start-master.sh}}
> {{$ sbin/start-slave.sh spark://`hostname`:7077}}
> {{$ bin/spark-shell --master spark://`hostname`:7077
> --files=./metrics.properties --conf spark.metrics.conf=./metrics.properties}}
> {quote}
> {{The Spark shell opens without problems:}}
> {quote}{{20/11/25 17:36:07 WARN NativeCodeLoader: Unable to load
> native-hadoop library for your platform... using builtin-java classes where
> applicable}}
> {{Using Spark's default log4j profile:
> org/apache/spark/log4j-defaults.properties}}
> {{Setting default log level to "WARN".}}
> {{To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use
> setLogLevel(newLevel).}}
> {{Spark context Web UI available at
> [http://192.168.0.6:4040|http://192.168.0.6:4040/]}}
> {{Spark context available as 'sc' (master =
> spark://MacBook-Pro-de-Paulo-2.local:7077, app id =
> app-20201125173618-0002).}}
> {{Spark session available as 'spark'.}}
> {{Welcome to}}
> {{ __}}
> {{ / __/_ _/ /__}}
> {{ _\ \/ _ \/ _ `/ __/ '_/}}
> {{ /___/ .__/_,_/_/ /_/_\ version 3.0.0}}
> {{ /_/}}
> {{ }}
> {{Using Scala version 2.12.10 (OpenJDK 64-Bit Server VM, Java 1.8.0_212)}}
> {{Type in expressions to have them evaluated.}}
> {{Type :help for more information. }}
> {{scala>}}
> {quote}
> {{And when I try to fetch prometheus metrics for driver, everything works
> fine:}}
> {quote}$ curl -s [http://localhost:4040/metrics/prometheus/] | head -n 5
> metrics_app_20201125173618_0002_driver_BlockManager_disk_diskSpaceUsed_MB_Number\{type="gauges"}
> 0
> metrics_app_20201125173618_0002_driver_BlockManager_disk_diskSpaceUsed_MB_Value\{type="gauges"}
> 0
> metrics_app_20201125173618_0002_driver_BlockManager_memory_maxMem_MB_Number\{type="gauges"}
> 732
> metrics_app_20201125173618_0002_driver_BlockManager_memory_maxMem_MB_Value\{type="gauges"}
> 732
> metrics_app_20201125173618_0002_driver_BlockManager_memory_maxOffHeapMem_MB_Number\{type="gauges"}
> 0
> {quote}
> *The problem appears when I try accessing master metrics*, and I get the
> following problem:
> {quote}{{$ curl -s [http://localhost:8080/metrics/master/prometheus]}}
> {{}}
> {{ }}
> {{ type="text/css"/> href="/static/vis-timeline-graph2d.min.css" type="text/css"/> rel="stylesheet" href="/static/webui.css" type="text/css"/> rel="stylesheet" href="/static/timeline-view.css" type="text/css"/> src="/static/sorttable.js"> src="/static/jquery-3.4.1.min.js"> src="/static/vis-timeline-graph2d.min.js"> src="/static/bootstrap-tooltip.js"> src="/static/initialize-tooltips.js"> src="/static/table.js"> src="/static/timeline-view.js"> src="/static/log-view.js"> src="/static/webui.js">setUIRoot('')}}
> {{ }}
> {{ href="/static/spark-logo-77x50px-hd.png">}}
> {{ Spark Master at
> spark://MacBook-Pro-de-Paulo-2.local:7077}}
> {{ }}
> {{ }}
> {{ }}
> {{ }}
> {{ }}
> {{ }}
> {{ }}
> {{ }}
> {{ 3.0.0}}
> {{ }}
>
[jira] [Commented] (SPARK-33564) Prometheus metrics for Master and Worker isn't working
[
https://issues.apache.org/jira/browse/SPARK-33564?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17244182#comment-17244182
]
Paulo Roberto de Oliveira Castro commented on SPARK-33564:
--
Just to understand, the configuration needs to be set up before
start-master.sh? If that is the case, how do I change metrics configs between
applications? Is it possible to run one application using PrometheusServlet and
another application to use a different sink on this same cluster?
Also, is there documentation about the subject? Because nowhere it is mentioned
that the conf should be set before starting the cluster.
Final question: how to achieve this using YARN? Do I have to have the metrics
config set before launching YARN?
> Prometheus metrics for Master and Worker isn't working
> ---
>
> Key: SPARK-33564
> URL: https://issues.apache.org/jira/browse/SPARK-33564
> Project: Spark
> Issue Type: Bug
> Components: Spark Core, Spark Shell
>Affects Versions: 3.0.0, 3.0.1
>Reporter: Paulo Roberto de Oliveira Castro
>Priority: Major
> Labels: Metrics, metrics, prometheus
>
> Following the [PR|https://github.com/apache/spark/pull/25769] that introduced
> the Prometheus sink, I downloaded the {{spark-3.0.1-bin-hadoop2.7.tgz}}
> (also tested with 3.0.0), uncompressed the tgz and created a file called
> {{metrics.properties}} adding this content:
> {quote}{{*.sink.prometheusServlet.class=org.apache.spark.metrics.sink.PrometheusServlet}}
> {{*.sink.prometheusServlet.path=/metrics/prometheus}}
> master.sink.prometheusServlet.path=/metrics/master/prometheus
> applications.sink.prometheusServlet.path=/metrics/applications/prometheus
> {quote}
> Then I ran:
> {quote}{{$ sbin/start-master.sh}}
> {{$ sbin/start-slave.sh spark://`hostname`:7077}}
> {{$ bin/spark-shell --master spark://`hostname`:7077
> --files=./metrics.properties --conf spark.metrics.conf=./metrics.properties}}
> {quote}
> {{The Spark shell opens without problems:}}
> {quote}{{20/11/25 17:36:07 WARN NativeCodeLoader: Unable to load
> native-hadoop library for your platform... using builtin-java classes where
> applicable}}
> {{Using Spark's default log4j profile:
> org/apache/spark/log4j-defaults.properties}}
> {{Setting default log level to "WARN".}}
> {{To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use
> setLogLevel(newLevel).}}
> {{Spark context Web UI available at
> [http://192.168.0.6:4040|http://192.168.0.6:4040/]}}
> {{Spark context available as 'sc' (master =
> spark://MacBook-Pro-de-Paulo-2.local:7077, app id =
> app-20201125173618-0002).}}
> {{Spark session available as 'spark'.}}
> {{Welcome to}}
> {{ __}}
> {{ / __/_ _/ /__}}
> {{ _\ \/ _ \/ _ `/ __/ '_/}}
> {{ /___/ .__/_,_/_/ /_/_\ version 3.0.0}}
> {{ /_/}}
> {{ }}
> {{Using Scala version 2.12.10 (OpenJDK 64-Bit Server VM, Java 1.8.0_212)}}
> {{Type in expressions to have them evaluated.}}
> {{Type :help for more information. }}
> {{scala>}}
> {quote}
> {{And when I try to fetch prometheus metrics for driver, everything works
> fine:}}
> {quote}$ curl -s [http://localhost:4040/metrics/prometheus/] | head -n 5
> metrics_app_20201125173618_0002_driver_BlockManager_disk_diskSpaceUsed_MB_Number\{type="gauges"}
> 0
> metrics_app_20201125173618_0002_driver_BlockManager_disk_diskSpaceUsed_MB_Value\{type="gauges"}
> 0
> metrics_app_20201125173618_0002_driver_BlockManager_memory_maxMem_MB_Number\{type="gauges"}
> 732
> metrics_app_20201125173618_0002_driver_BlockManager_memory_maxMem_MB_Value\{type="gauges"}
> 732
> metrics_app_20201125173618_0002_driver_BlockManager_memory_maxOffHeapMem_MB_Number\{type="gauges"}
> 0
> {quote}
> *The problem appears when I try accessing master metrics*, and I get the
> following problem:
> {quote}{{$ curl -s [http://localhost:8080/metrics/master/prometheus]}}
> {{}}
> {{ }}
> {{ type="text/css"/> href="/static/vis-timeline-graph2d.min.css" type="text/css"/> rel="stylesheet" href="/static/webui.css" type="text/css"/> rel="stylesheet" href="/static/timeline-view.css" type="text/css"/> src="/static/sorttable.js"> src="/static/jquery-3.4.1.min.js"> src="/static/vis-timeline-graph2d.min.js"> src="/static/bootstrap-tooltip.js"> src="/static/initialize-tooltips.js"> src="/static/table.js"> src="/static/timeline-view.js"> src="/static/log-view.js"> src="/static/webui.js">setUIRoot('')}}
> {{ }}
> {{ href="/static/spark-logo-77x50px-hd.png">}}
> {{ Spark Master at
> spark://MacBook-Pro-de-Paulo-2.local:7077}}
> {{ }}
> {{ }}
> {{ }}
> {{ }}
> {{ }}
> {{ }}
> {{ }}
> {{ }}
> {{ 3.0.0}}
> {{
[jira] [Updated] (SPARK-33564) Prometheus metrics for Master and Worker isn't working
[
https://issues.apache.org/jira/browse/SPARK-33564?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Paulo Roberto de Oliveira Castro updated SPARK-33564:
-
Description:
Following the [PR|https://github.com/apache/spark/pull/25769] that introduced
the Prometheus sink, I downloaded the {{spark-3.0.1-bin-hadoop2.7.tgz}} (also
tested with 3.0.0), uncompressed the tgz and created a file called
{{metrics.properties}} adding this content:
{quote}{{*.sink.prometheusServlet.class=org.apache.spark.metrics.sink.PrometheusServlet}}
{{*.sink.prometheusServlet.path=/metrics/prometheus}}
master.sink.prometheusServlet.path=/metrics/master/prometheus
applications.sink.prometheusServlet.path=/metrics/applications/prometheus
{quote}
Then I ran:
{quote}{{$ sbin/start-master.sh}}
{{$ sbin/start-slave.sh spark://`hostname`:7077}}
{{$ bin/spark-shell --master spark://`hostname`:7077
--files=./metrics.properties --conf spark.metrics.conf=./metrics.properties}}
{quote}
{{The Spark shell opens without problems:}}
{quote}{{20/11/25 17:36:07 WARN NativeCodeLoader: Unable to load native-hadoop
library for your platform... using builtin-java classes where applicable}}
{{Using Spark's default log4j profile:
org/apache/spark/log4j-defaults.properties}}
{{Setting default log level to "WARN".}}
{{To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use
setLogLevel(newLevel).}}
{{Spark context Web UI available at
[http://192.168.0.6:4040|http://192.168.0.6:4040/]}}
{{Spark context available as 'sc' (master =
spark://MacBook-Pro-de-Paulo-2.local:7077, app id = app-20201125173618-0002).}}
{{Spark session available as 'spark'.}}
{{Welcome to}}
{{ __}}
{{ / __/_ _/ /__}}
{{ _\ \/ _ \/ _ `/ __/ '_/}}
{{ /___/ .__/_,_/_/ /_/_\ version 3.0.0}}
{{ /_/}}
{{ }}
{{Using Scala version 2.12.10 (OpenJDK 64-Bit Server VM, Java 1.8.0_212)}}
{{Type in expressions to have them evaluated.}}
{{Type :help for more information. }}
{{scala>}}
{quote}
{{And when I try to fetch prometheus metrics for driver, everything works
fine:}}
{quote}$ curl -s [http://localhost:4040/metrics/prometheus/] | head -n 5
metrics_app_20201125173618_0002_driver_BlockManager_disk_diskSpaceUsed_MB_Number\{type="gauges"}
0
metrics_app_20201125173618_0002_driver_BlockManager_disk_diskSpaceUsed_MB_Value\{type="gauges"}
0
metrics_app_20201125173618_0002_driver_BlockManager_memory_maxMem_MB_Number\{type="gauges"}
732
metrics_app_20201125173618_0002_driver_BlockManager_memory_maxMem_MB_Value\{type="gauges"}
732
metrics_app_20201125173618_0002_driver_BlockManager_memory_maxOffHeapMem_MB_Number\{type="gauges"}
0
{quote}
*The problem appears when I try accessing master metrics*, and I get the
following problem:
{quote}{{$ curl -s [http://localhost:8080/metrics/master/prometheus]}}
{{}}
{{ }}
{{ setUIRoot('')}}
{{ }}
{{ }}
{{ Spark Master at
spark://MacBook-Pro-de-Paulo-2.local:7077}}
{{ }}
{{ }}
{{ }}
{{ }}
{{ }}
{{ }}
{{ }}
{{ }}
{{ 3.0.0}}
{{ }}
{{ Spark Master at spark://MacBook-Pro-de-Paulo-2.local:7077}}
{{ }}
{{ }}
{{ }}
{{ }}
{{ }}
{{ }}
{{ URL:
spark://MacBook-Pro-de-Paulo-2.local:7077}}
...
{quote}
Instead of the metrics I'm getting an HTML page. The same happens for all of
those here:
{quote}{{$ curl -s [http://localhost:8080/metrics/applications/prometheus/]}}
{{$ curl -s [http://localhost:8081/metrics/prometheus/]}}
{quote}
Instead, *I expected metrics in prometheus metrics*. All related JSON endpoints
seem to be working fine.
was:
Following the [PR|https://github.com/apache/spark/pull/25769] that introduced
the Prometheus sink, I downloaded the {{spark-3.0.1-bin-hadoop2.7.tgz}} (also
tested with 3.0.0), uncompressed the tgz and created a file called
{{metrics.properties}} adding this content:
{quote}{{*.sink.prometheusServlet.class=org.apache.spark.metrics.sink.PrometheusServlet}}
{{*.sink.prometheusServlet.path=/metrics/prometheus}}
master.sink.prometheusServlet.path=/metrics/master/prometheus
applications.sink.prometheusServlet.path=/metrics/applications/prometheus
{quote}
Then I ran:
{quote}{{$ sbin/start-master.sh}}
{{$ sbin/start-slave.sh spark://`hostname`:7077}}
{{$ bin/spark-shell --master spark://`hostname`:7077
--files=./metrics.properties --conf spark.metrics.conf=./metrics.properties}}
{quote}
{{The Spark shell opens without problems:}}
{quote}{{20/11/25 17:36:07 WARN NativeCodeLoader: Unable to load native-hadoop
library for your platform... using builtin-java classes where applicable}}
{{Using Spark's default log4j profile:
org/apache/spark/log4j-defaults.properties}}
{{Setting default log
[jira] [Updated] (SPARK-33564) Prometheus metrics for Master and Worker isn't working
[
https://issues.apache.org/jira/browse/SPARK-33564?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Paulo Roberto de Oliveira Castro updated SPARK-33564:
-
Description:
Following the [PR|https://github.com/apache/spark/pull/25769] that introduced
the Prometheus sink, I downloaded the {{spark-3.0.1-bin-hadoop2.7.tgz}} (also
tested with 3.0.0), uncompressed the tgz and created a file called
{{metrics.properties}} adding this content:
{quote}{{*.sink.prometheusServlet.class=org.apache.spark.metrics.sink.PrometheusServlet}}
{{*.sink.prometheusServlet.path=/metrics/prometheus}}
master.sink.prometheusServlet.path=/metrics/master/prometheus
applications.sink.prometheusServlet.path=/metrics/applications/prometheus
{quote}
Then I ran:
{quote}{{$ sbin/start-master.sh}}
{{$ sbin/start-slave.sh spark://`hostname`:7077}}
{{$ bin/spark-shell --master spark://`hostname`:7077
--files=./metrics.properties --conf spark.metrics.conf=./metrics.properties}}
{quote}
{{The Spark shell opens without problems:}}
{quote}{{20/11/25 17:36:07 WARN NativeCodeLoader: Unable to load native-hadoop
library for your platform... using builtin-java classes where applicable}}
{{Using Spark's default log4j profile:
org/apache/spark/log4j-defaults.properties}}
{{Setting default log level to "WARN".}}
{{To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use
setLogLevel(newLevel).}}
{{Spark context Web UI available at
[http://192.168.0.6:4040|http://192.168.0.6:4040/]}}
{{Spark context available as 'sc' (master =
spark://MacBook-Pro-de-Paulo-2.local:7077, app id = app-20201125173618-0002).}}
{{Spark session available as 'spark'.}}
{{Welcome to}}
{{ __}}
{{ / __/_ _/ /__}}
{{ _\ \/ _ \/ _ `/ __/ '_/}}
{{ /___/ .__/_,_/_/ /_/_\ version 3.0.0}}
{{ /_/}}
{{ }}
{{Using Scala version 2.12.10 (OpenJDK 64-Bit Server VM, Java 1.8.0_212)}}
{{Type in expressions to have them evaluated.}}
{{Type :help for more information. }}
{{scala>}}
{quote}
{{And when I try to fetch prometheus metrics for driver, everything works
fine:}}
{quote}$ curl -s [http://localhost:4040/metrics/prometheus/] | head -n 5
metrics_app_20201125173618_0002_driver_BlockManager_disk_diskSpaceUsed_MB_Number\{type="gauges"}
0
metrics_app_20201125173618_0002_driver_BlockManager_disk_diskSpaceUsed_MB_Value\{type="gauges"}
0
metrics_app_20201125173618_0002_driver_BlockManager_memory_maxMem_MB_Number\{type="gauges"}
732
metrics_app_20201125173618_0002_driver_BlockManager_memory_maxMem_MB_Value\{type="gauges"}
732
metrics_app_20201125173618_0002_driver_BlockManager_memory_maxOffHeapMem_MB_Number\{type="gauges"}
0
{quote}
*The problem appears when I try accessing master metrics*, and I get the
following problem:
{quote}{{$ curl -s [http://localhost:8080/metrics/master/prometheus]}}
{{}}
{{ }}
{{ setUIRoot('')}}
{{ }}
{{ }}
{{ Spark Master at
spark://MacBook-Pro-de-Paulo-2.local:7077}}
{{ }}
{{ }}
{{ }}
{{ }}
{{ }}
{{ }}
{{ }}
{{ }}
{{ 3.0.0}}
{{ }}
{{ Spark Master at spark://MacBook-Pro-de-Paulo-2.local:7077}}
{{ }}
{{ }}
{{ }}
{{ }}
{{ }}
{{ }}
{{ URL:
spark://MacBook-Pro-de-Paulo-2.local:7077}}
...
{quote}
The same happens for all of those here:
{quote}{{$ curl -s [http://localhost:8080/metrics/applications/prometheus/]}}
{{$ curl -s [http://localhost:8081/metrics/prometheus/]}}
{quote}
Instead, *I expected metrics in prometheus metrics*. All related JSON endpoints
seem to be working fine.
was:
Following the [PR|https://github.com/apache/spark/pull/25769] that introduced
the Prometheus sink, I downloaded the {{spark-3.0.1-bin-hadoop2.7.tgz}} (also
tested with 3.0.0), uncompressed the tgz and created a file called
{{metrics.properties}} adding this content:
{quote}*.sink.prometheusServlet.class=org.apache.spark.metrics.sink.PrometheusServlet
{{*.sink.prometheusServlet.path=/metrics/prometheus}}
\{{ master.sink.prometheusServlet.path=/metrics/master/prometheus}}
\{{ applications.sink.prometheusServlet.path=/metrics/applications/prometheus}}
{quote}
Then I ran:
{quote}{{$ sbin/start-master.sh}}
{{$ sbin/start-slave.sh spark://`hostname`:7077}}
{{$ bin/spark-shell --master spark://`hostname`:7077
--files=./metrics.properties --conf spark.metrics.conf=./metrics.properties}}
{quote}
{{The Spark shell opens without problems:}}
{quote}{{20/11/25 17:36:07 WARN NativeCodeLoader: Unable to load native-hadoop
library for your platform... using builtin-java classes where applicable}}
{{Using Spark's default log4j profile:
org/apache/spark/log4j-defaults.properties}}
{{Setting default log level to "WARN".}}
{{To adjust
[jira] [Updated] (SPARK-33564) Prometheus metrics for Master and Worker isn't working
[
https://issues.apache.org/jira/browse/SPARK-33564?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Paulo Roberto de Oliveira Castro updated SPARK-33564:
-
Description:
Following the [PR|https://github.com/apache/spark/pull/25769] that introduced
the Prometheus sink, I downloaded the {{spark-3.0.1-bin-hadoop2.7.tgz}} (also
tested with 3.0.0), uncompressed the tgz and created a file called
{{metrics.properties}} adding this content:
{quote}*.sink.prometheusServlet.class=org.apache.spark.metrics.sink.PrometheusServlet
{{*.sink.prometheusServlet.path=/metrics/prometheus}}
\{{ master.sink.prometheusServlet.path=/metrics/master/prometheus}}
\{{ applications.sink.prometheusServlet.path=/metrics/applications/prometheus}}
{quote}
Then I ran:
{quote}{{$ sbin/start-master.sh}}
{{$ sbin/start-slave.sh spark://`hostname`:7077}}
{{$ bin/spark-shell --master spark://`hostname`:7077
--files=./metrics.properties --conf spark.metrics.conf=./metrics.properties}}
{quote}
{{The Spark shell opens without problems:}}
{quote}{{20/11/25 17:36:07 WARN NativeCodeLoader: Unable to load native-hadoop
library for your platform... using builtin-java classes where applicable}}
{{Using Spark's default log4j profile:
org/apache/spark/log4j-defaults.properties}}
{{Setting default log level to "WARN".}}
{{To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use
setLogLevel(newLevel).}}
{{Spark context Web UI available at
[http://192.168.0.6:4040|http://192.168.0.6:4040/]}}
{{Spark context available as 'sc' (master =
spark://MacBook-Pro-de-Paulo-2.local:7077, app id = app-20201125173618-0002).}}
{{Spark session available as 'spark'.}}
{{Welcome to}}
{{ __}}
{{ / __/_ _/ /__}}
{{ _\ \/ _ \/ _ `/ __/ '_/}}
{{ /___/ .__/_,_/_/ /_/_\ version 3.0.0}}
{{ /_/}}
{{ }}
{{Using Scala version 2.12.10 (OpenJDK 64-Bit Server VM, Java 1.8.0_212)}}
{{Type in expressions to have them evaluated.}}
{{Type :help for more information. }}
{{scala>}}
{quote}
{{And when I try to fetch prometheus metrics for driver, everything works
fine:}}
{quote}$ curl -s [http://localhost:4040/metrics/prometheus/] | head -n 5
metrics_app_20201125173618_0002_driver_BlockManager_disk_diskSpaceUsed_MB_Number\{type="gauges"}
0
metrics_app_20201125173618_0002_driver_BlockManager_disk_diskSpaceUsed_MB_Value\{type="gauges"}
0
metrics_app_20201125173618_0002_driver_BlockManager_memory_maxMem_MB_Number\{type="gauges"}
732
metrics_app_20201125173618_0002_driver_BlockManager_memory_maxMem_MB_Value\{type="gauges"}
732
metrics_app_20201125173618_0002_driver_BlockManager_memory_maxOffHeapMem_MB_Number\{type="gauges"}
0
{quote}
*The problem appears when I try accessing master metrics*, and I get the
following problem:
{quote}{{$ curl -s [http://localhost:8080/metrics/master/prometheus]}}
{{}}
{{ }}
{{ setUIRoot('')}}
{{ }}
{{ }}
{{ Spark Master at
spark://MacBook-Pro-de-Paulo-2.local:7077}}
{{ }}
{{ }}
{{ }}
{{ }}
{{ }}
{{ }}
{{ }}
{{ }}
{{ 3.0.0}}
{{ }}
{{ Spark Master at spark://MacBook-Pro-de-Paulo-2.local:7077}}
{{ }}
{{ }}
{{ }}
{{ }}
{{ }}
{{ }}
{{ URL:
spark://MacBook-Pro-de-Paulo-2.local:7077}}
...
{quote}
The same happens for all of those here:
{quote}{{$ curl -s [http://localhost:8080/metrics/applications/prometheus/]}}
{{$ curl -s [http://localhost:8081/metrics/prometheus/]}}
{quote}
Instead, *I expected metrics in prometheus metrics*. All related JSON endpoints
seem to be working fine.
was:
Following the [PR|https://github.com/apache/spark/pull/25769] that introduced
the Prometheus sink, I downloaded the {{spark-3.0.1-bin-hadoop2.7.tgz}} (also
tested with 3.0.0), uncompressed the tgz and created a file called
{{metrics.properties}} adding this content:
{quote}*.sink.prometheusServlet.class=org.apache.spark.metrics.sink.PrometheusServlet
{{*.sink.prometheusServlet.path=/metrics/prometheus}}
{{ master.sink.prometheusServlet.path=/metrics/master/prometheus}}
{{ applications.sink.prometheusServlet.path=/metrics/applications/prometheus}}
{quote}
Then I ran:
{quote}$ sbin/start-master.sh
{{ {{$ sbin/start-slave.sh spark://`hostname`:7077
{{ {{$ bin/spark-shell --master spark://`hostname`:7077
--files=./metrics.properties --conf spark.metrics.conf=./metrics.properties
{quote}
{{The Spark shell opens without problems:}}
{quote}{{20/11/25 17:36:07 WARN NativeCodeLoader: Unable to load native-hadoop
library for your platform... using builtin-java classes where applicable}}
{{Using Spark's default log4j profile:
org/apache/spark/log4j-defaults.properties}}
{{Setting default log level to
[jira] [Updated] (SPARK-33564) Prometheus metrics for Master and Worker isn't working
[
https://issues.apache.org/jira/browse/SPARK-33564?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Paulo Roberto de Oliveira Castro updated SPARK-33564:
-
Description:
Following the [PR|https://github.com/apache/spark/pull/25769] that introduced
the Prometheus sink, I downloaded the {{spark-3.0.1-bin-hadoop2.7.tgz}} (also
tested with 3.0.0), uncompressed the tgz and created a file called
{{metrics.properties}} adding this content:
{quote}*.sink.prometheusServlet.class=org.apache.spark.metrics.sink.PrometheusServlet
{{*.sink.prometheusServlet.path=/metrics/prometheus}}
{{ master.sink.prometheusServlet.path=/metrics/master/prometheus}}
{{ applications.sink.prometheusServlet.path=/metrics/applications/prometheus}}
{quote}
Then I ran:
{quote}$ sbin/start-master.sh
{{ {{$ sbin/start-slave.sh spark://`hostname`:7077
{{ {{$ bin/spark-shell --master spark://`hostname`:7077
--files=./metrics.properties --conf spark.metrics.conf=./metrics.properties
{quote}
{{The Spark shell opens without problems:}}
{quote}{{20/11/25 17:36:07 WARN NativeCodeLoader: Unable to load native-hadoop
library for your platform... using builtin-java classes where applicable}}
{{Using Spark's default log4j profile:
org/apache/spark/log4j-defaults.properties}}
{{Setting default log level to "WARN".}}
{{To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use
setLogLevel(newLevel).}}
{{Spark context Web UI available at
[http://192.168.0.6:4040|http://192.168.0.6:4040/]}}
{{Spark context available as 'sc' (master =
spark://MacBook-Pro-de-Paulo-2.local:7077, app id = app-20201125173618-0002).}}
{{Spark session available as 'spark'.}}
{{Welcome to}}
{{ __}}
{{ / __/_ _/ /__}}
{{ _\ \/ _ \/ _ `/ __/ '_/}}
{{ /___/ .__/_,_/_/ /_/_\ version 3.0.0}}
{{ /_/}}
{{ }}
{{Using Scala version 2.12.10 (OpenJDK 64-Bit Server VM, Java 1.8.0_212)}}
{{Type in expressions to have them evaluated.}}
{{Type :help for more information. }}
{{scala>}}
{quote}
{{And when I try to fetch prometheus metrics for driver, everything works
fine:}}
{quote}$ curl -s [http://localhost:4040/metrics/prometheus/] | head -n 5
metrics_app_20201125173618_0002_driver_BlockManager_disk_diskSpaceUsed_MB_Number\{type="gauges"}
0
metrics_app_20201125173618_0002_driver_BlockManager_disk_diskSpaceUsed_MB_Value\{type="gauges"}
0
metrics_app_20201125173618_0002_driver_BlockManager_memory_maxMem_MB_Number\{type="gauges"}
732
metrics_app_20201125173618_0002_driver_BlockManager_memory_maxMem_MB_Value\{type="gauges"}
732
metrics_app_20201125173618_0002_driver_BlockManager_memory_maxOffHeapMem_MB_Number\{type="gauges"}
0
{quote}
*The problem appears when I try accessing master metrics*, and I get the
following problem:
{quote}{{$ curl -s [http://localhost:8080/metrics/master/prometheus]}}
{{}}
{{ }}
{{ setUIRoot('')}}
{{ }}
{{ }}
{{ Spark Master at
spark://MacBook-Pro-de-Paulo-2.local:7077}}
{{ }}
{{ }}
{{ }}
{{ }}
{{ }}
{{ }}
{{ }}
{{ }}
{{ 3.0.0}}
{{ }}
{{ Spark Master at spark://MacBook-Pro-de-Paulo-2.local:7077}}
{{ }}
{{ }}
{{ }}
{{ }}
{{ }}
{{ }}
{{ URL:
spark://MacBook-Pro-de-Paulo-2.local:7077}}
{{ ...}}
{quote}
The same happens for all of those here:
{quote}{{$ curl -s [http://localhost:8080/metrics/applications/prometheus/]}}
{{$ curl -s [http://localhost:8081/metrics/prometheus/]}}
{quote}
Instead, *I expected metrics in prometheus metrics*. All related JSON endpoints
seem to be working fine.
was:
Following the [PR|https://github.com/apache/spark/pull/25769] that introduced
the Prometheus sink, I downloaded the {{spark-3.0.1-bin-hadoop2.7.tgz}} (also
tested with 3.0.0), uncompressed the tgz and created a file called
\{{metrics.properties __ }}adding this content:
{{*.sink.prometheusServlet.class=org.apache.spark.metrics.sink.PrometheusServlet}}
{{*.sink.prometheusServlet.path=/metrics/prometheus
master.sink.prometheusServlet.path=/metrics/master/prometheus
applications.sink.prometheusServlet.path=/metrics/applications/prometheus}}
Then I ran:
{{$ sbin/start-master.sh}}
{{$ sbin/start-slave.sh spark://`hostname`:7077}}
{{$ bin/spark-shell --master spark://`hostname`:7077
--files=./metrics.properties --conf spark.metrics.conf=./metrics.properties}}
{{The Spark shell opens without problems:}}
{quote}{{20/11/25 17:36:07 WARN NativeCodeLoader: Unable to load native-hadoop
library for your platform... using builtin-java classes where applicable}}
{{Using Spark's default log4j profile:
org/apache/spark/log4j-defaults.properties}}
{{Setting default log level to "WARN".}}
{{To adjust logging
[jira] [Updated] (SPARK-33564) Prometheus metrics for Master and Worker isn't working
[
https://issues.apache.org/jira/browse/SPARK-33564?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Paulo Roberto de Oliveira Castro updated SPARK-33564:
-
Description:
Following the [PR|https://github.com/apache/spark/pull/25769] that introduced
the Prometheus sink, I downloaded the {{spark-3.0.1-bin-hadoop2.7.tgz}} (also
tested with 3.0.0), uncompressed the tgz and created a file called
\{{metrics.properties __ }}adding this content:
{{*.sink.prometheusServlet.class=org.apache.spark.metrics.sink.PrometheusServlet}}
{{*.sink.prometheusServlet.path=/metrics/prometheus
master.sink.prometheusServlet.path=/metrics/master/prometheus
applications.sink.prometheusServlet.path=/metrics/applications/prometheus}}
Then I ran:
{{$ sbin/start-master.sh}}
{{$ sbin/start-slave.sh spark://`hostname`:7077}}
{{$ bin/spark-shell --master spark://`hostname`:7077
--files=./metrics.properties --conf spark.metrics.conf=./metrics.properties}}
{{The Spark shell opens without problems:}}
{quote}{{20/11/25 17:36:07 WARN NativeCodeLoader: Unable to load native-hadoop
library for your platform... using builtin-java classes where applicable}}
{{Using Spark's default log4j profile:
org/apache/spark/log4j-defaults.properties}}
{{Setting default log level to "WARN".}}
{{To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use
setLogLevel(newLevel).}}
{{Spark context Web UI available at
[http://192.168.0.6:4040|http://192.168.0.6:4040/]}}
{{Spark context available as 'sc' (master =
spark://MacBook-Pro-de-Paulo-2.local:7077, app id = app-20201125173618-0002).}}
{{Spark session available as 'spark'.}}
{{Welcome to}}
{{ __}}
{{ / __/_ _/ /__}}
{{ _\ \/ _ \/ _ `/ __/ '_/}}
{{ /___/ .__/_,_/_/ /_/_\ version 3.0.0}}
{{ /_/}}
{{ }}
{{Using Scala version 2.12.10 (OpenJDK 64-Bit Server VM, Java 1.8.0_212)}}
{{Type in expressions to have them evaluated.}}
{{Type :help for more information. }}
{{scala>}}
{quote}
{{And when I try to fetch prometheus metrics for driver, everything works
fine:}}
{quote}$ curl -s [http://localhost:4040/metrics/prometheus/] | head -n 5
metrics_app_20201125173618_0002_driver_BlockManager_disk_diskSpaceUsed_MB_Number\{type="gauges"}
0
metrics_app_20201125173618_0002_driver_BlockManager_disk_diskSpaceUsed_MB_Value\{type="gauges"}
0
metrics_app_20201125173618_0002_driver_BlockManager_memory_maxMem_MB_Number\{type="gauges"}
732
metrics_app_20201125173618_0002_driver_BlockManager_memory_maxMem_MB_Value\{type="gauges"}
732
metrics_app_20201125173618_0002_driver_BlockManager_memory_maxOffHeapMem_MB_Number\{type="gauges"}
0
{quote}
*The problem appears when I try accessing master metrics*, and I get the
following problem:
{quote}$ curl -s [http://localhost:8080/metrics/master/prometheus]
setUIRoot('')
Spark Master at spark://MacBook-Pro-de-Paulo-2.local:7077
3.0.0
Spark Master at spark://MacBook-Pro-de-Paulo-2.local:7077
URL:
spark://MacBook-Pro-de-Paulo-2.local:7077
...
{quote}
The same happens for all of those here:
{quote}{{$ curl -s [http://localhost:8080/metrics/applications/prometheus/]}}
{{$ curl -s [http://localhost:8081/metrics/prometheus/]}}
{quote}
Instead, *I expected metrics in prometheus metrics*. All related JSON endpoints
seem to be working fine.
was:
Following the [PR|https://github.com/apache/spark/pull/25769] that introduced
the Prometheus sink, I downloaded the {{spark-3.0.1-bin-hadoop2.7.tgz}} (also
tested with 3.0.0), uncompressed the tgz and created a file called
\{{metrics.properties __ }}adding this content:
{{*.sink.prometheusServlet.class=org.apache.spark.metrics.sink.PrometheusServlet}}
{{*.sink.prometheusServlet.path=/metrics/prometheus
master.sink.prometheusServlet.path=/metrics/master/prometheus
applications.sink.prometheusServlet.path=/metrics/applications/prometheus}}
Then I ran:
{{$ sbin/start-master.sh}}
{{$ sbin/start-slave.sh spark://`hostname`:7077}}
{{$ bin/spark-shell --master spark://`hostname`:7077
--files=./metrics.properties --conf spark.metrics.conf=./metrics.properties}}
{{The Spark shell opens without problems:}}
{quote}20/11/25 17:36:07 WARN NativeCodeLoader: Unable to load native-hadoop
library for your platform... using builtin-java classes where applicable
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use
setLogLevel(newLevel).
Spark context Web UI available at
[http://192.168.0.6:4040|http://192.168.0.6:4040/]
[jira] [Updated] (SPARK-33564) Prometheus metrics for Master and Worker isn't working
[
https://issues.apache.org/jira/browse/SPARK-33564?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Paulo Roberto de Oliveira Castro updated SPARK-33564:
-
Description:
Following the [PR|https://github.com/apache/spark/pull/25769] that introduced
the Prometheus sink, I downloaded the {{spark-3.0.1-bin-hadoop2.7.tgz}} (also
tested with 3.0.0), uncompressed the tgz and created a file called
\{{metrics.properties __ }}adding this content:
{{*.sink.prometheusServlet.class=org.apache.spark.metrics.sink.PrometheusServlet}}
{{*.sink.prometheusServlet.path=/metrics/prometheus
master.sink.prometheusServlet.path=/metrics/master/prometheus
applications.sink.prometheusServlet.path=/metrics/applications/prometheus}}
Then I ran:
{{$ sbin/start-master.sh}}
{{$ sbin/start-slave.sh spark://`hostname`:7077}}
{{$ bin/spark-shell --master spark://`hostname`:7077
--files=./metrics.properties --conf spark.metrics.conf=./metrics.properties}}
{{The Spark shell opens without problems:}}
{quote}20/11/25 17:36:07 WARN NativeCodeLoader: Unable to load native-hadoop
library for your platform... using builtin-java classes where applicable
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use
setLogLevel(newLevel).
Spark context Web UI available at
[http://192.168.0.6:4040|http://192.168.0.6:4040/]
Spark context available as 'sc' (master =
spark://MacBook-Pro-de-Paulo-2.local:7077, app id = app-20201125173618-0002).
Spark session available as 'spark'.
Welcome to
__
/ __/_ _/ /__
_\ \/ _ \/ _ `/ __/ '_/
/___/ .__/_,_/_/ /_/_\ version 3.0.0
/_/
Using Scala version 2.12.10 (OpenJDK 64-Bit Server VM, Java 1.8.0_212)
Type in expressions to have them evaluated.
Type :help for more information.
scala>
{quote}
{{And when I try to fetch prometheus metrics for driver, everything works
fine:}}
{quote}$ curl -s [http://localhost:4040/metrics/prometheus/] | head -n 5
metrics_app_20201125173618_0002_driver_BlockManager_disk_diskSpaceUsed_MB_Number\{type="gauges"}
0
metrics_app_20201125173618_0002_driver_BlockManager_disk_diskSpaceUsed_MB_Value\{type="gauges"}
0
metrics_app_20201125173618_0002_driver_BlockManager_memory_maxMem_MB_Number\{type="gauges"}
732
metrics_app_20201125173618_0002_driver_BlockManager_memory_maxMem_MB_Value\{type="gauges"}
732
metrics_app_20201125173618_0002_driver_BlockManager_memory_maxOffHeapMem_MB_Number\{type="gauges"}
0
{quote}
*The problem appears when I try accessing master metrics*, and I get the
following problem:
{quote}$ curl -s [http://localhost:8080/metrics/master/prometheus]
setUIRoot('')
Spark Master at spark://MacBook-Pro-de-Paulo-2.local:7077
3.0.0
Spark Master at spark://MacBook-Pro-de-Paulo-2.local:7077
URL:
spark://MacBook-Pro-de-Paulo-2.local:7077
...
{quote}
The same happens for all of those here:
{quote}{{$ curl -s [http://localhost:8080/metrics/applications/prometheus/]}}
{{$ curl -s [http://localhost:8081/metrics/prometheus/]}}
{quote}
Instead, *I expected metrics in prometheus metrics*. All related JSON endpoints
seem to be working fine.
was:
Following the [PR|https://github.com/apache/spark/pull/25769] that introduced
the Prometheus sink, I downloaded the {{spark-3.0.1-bin-hadoop2.7.tgz}} (also
tested with 3.0.0), uncompressed the tgz and created a file called
{{metrics.properties __ }}adding this content:
{{}}
{{*.sink.prometheusServlet.class=org.apache.spark.metrics.sink.PrometheusServlet}}
{{*.sink.prometheusServlet.path=/metrics/prometheus
master.sink.prometheusServlet.path=/metrics/master/prometheus
applications.sink.prometheusServlet.path=/metrics/applications/prometheus}}
Then I ran:
{{$ sbin/start-master.sh}}
{{$ sbin/start-slave.sh spark://`hostname`:7077}}
{{$ bin/spark-shell --master spark://`hostname`:7077
--files=./metrics.properties --conf spark.metrics.conf=./metrics.properties}}
{{The Spark shell opens without problems:}}
{{}}
{quote}20/11/25 17:36:07 WARN NativeCodeLoader: Unable to load native-hadoop
library for your platform... using builtin-java classes where applicable
{{}}
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
{{}}
Setting default log level to "WARN".
{{}}
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use
setLogLevel(newLevel).
{{}}
Spark context Web UI available at http://192.168.0.6:4040
{{}}
Spark context available as 'sc' (master =
[jira] [Created] (SPARK-33564) Prometheus metrics for Master and Worker isn't working
Paulo Roberto de Oliveira Castro created SPARK-33564:
Summary: Prometheus metrics for Master and Worker isn't working
Key: SPARK-33564
URL: https://issues.apache.org/jira/browse/SPARK-33564
Project: Spark
Issue Type: Bug
Components: Spark Core, Spark Shell
Affects Versions: 3.0.1, 3.0.0
Reporter: Paulo Roberto de Oliveira Castro
Following the [PR|https://github.com/apache/spark/pull/25769] that introduced
the Prometheus sink, I downloaded the {{spark-3.0.1-bin-hadoop2.7.tgz}} (also
tested with 3.0.0), uncompressed the tgz and created a file called
{{metrics.properties __ }}adding this content:
{{}}
{{*.sink.prometheusServlet.class=org.apache.spark.metrics.sink.PrometheusServlet}}
{{*.sink.prometheusServlet.path=/metrics/prometheus
master.sink.prometheusServlet.path=/metrics/master/prometheus
applications.sink.prometheusServlet.path=/metrics/applications/prometheus}}
Then I ran:
{{$ sbin/start-master.sh}}
{{$ sbin/start-slave.sh spark://`hostname`:7077}}
{{$ bin/spark-shell --master spark://`hostname`:7077
--files=./metrics.properties --conf spark.metrics.conf=./metrics.properties}}
{{The Spark shell opens without problems:}}
{{}}
{quote}20/11/25 17:36:07 WARN NativeCodeLoader: Unable to load native-hadoop
library for your platform... using builtin-java classes where applicable
{{}}
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
{{}}
Setting default log level to "WARN".
{{}}
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use
setLogLevel(newLevel).
{{}}
Spark context Web UI available at http://192.168.0.6:4040
{{}}
Spark context available as 'sc' (master =
spark://MacBook-Pro-de-Paulo-2.local:7077, app id = app-20201125173618-0002).
{{}}
Spark session available as 'spark'.
{{}}
Welcome to
{{}}
__
{{}}
/ __/__ ___ _/ /__
{{}}
_\ \/ _ \/ _ `/ __/ '_/
{{}}
/___/ .__/\_,_/_/ /_/\_\ version 3.0.0
{{}}
/_/
{{}}
{{}}
Using Scala version 2.12.10 (OpenJDK 64-Bit Server VM, Java 1.8.0_212)
{{}}
Type in expressions to have them evaluated.
{{}}
Type :help for more information.
{{}}
{{}}
scala>
{quote}
{{And when I try to fetch prometheus metrics for driver, everything works
fine:}}
{quote}$ curl -s http://localhost:4040/metrics/prometheus/ | head -n 5
metrics_app_20201125173618_0002_driver_BlockManager_disk_diskSpaceUsed_MB_Number\{type="gauges"}
0
metrics_app_20201125173618_0002_driver_BlockManager_disk_diskSpaceUsed_MB_Value\{type="gauges"}
0
metrics_app_20201125173618_0002_driver_BlockManager_memory_maxMem_MB_Number\{type="gauges"}
732
metrics_app_20201125173618_0002_driver_BlockManager_memory_maxMem_MB_Value\{type="gauges"}
732
metrics_app_20201125173618_0002_driver_BlockManager_memory_maxOffHeapMem_MB_Number\{type="gauges"}
0
{quote}
*The problem appears when I try accessing master metrics*, and I get the
following problem:
{quote}$ curl -s http://localhost:8080/metrics/master/prometheus
setUIRoot('')
Spark Master at spark://MacBook-Pro-de-Paulo-2.local:7077
3.0.0
Spark Master at spark://MacBook-Pro-de-Paulo-2.local:7077
URL:
spark://MacBook-Pro-de-Paulo-2.local:7077
...
{quote}
The same happens for all of those here:
{quote}{{$ curl -s [http://localhost:8080/metrics/applications/prometheus/]}}
{{$ curl -s [http://localhost:8081/metrics/prometheus/]}}
{quote}
Instead, *I expected metrics in prometheus metrics*. All related JSON endpoints
seem to be working fine.
{{}}
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