This is an automated email from the ASF dual-hosted git repository.
acosentino pushed a commit to branch main
in repository https://gitbox.apache.org/repos/asf/camel-performance-tests.git
commit 5f5f8b617dd0798e4dbb6ad6fd30ed14885ce47c
Author: Andrea Cosentino <anco...@gmail.com>
AuthorDate: Fri Oct 1 06:49:31 2021 +0200
Mongo to Kafka: Readme fix
---
profiling/mongo-kafka/README.md | 42 ++++++-----------------------------------
1 file changed, 6 insertions(+), 36 deletions(-)
diff --git a/profiling/mongo-kafka/README.md b/profiling/mongo-kafka/README.md
index 1ca0860..936158f 100644
--- a/profiling/mongo-kafka/README.md
+++ b/profiling/mongo-kafka/README.md
@@ -9,12 +9,7 @@ docker run --net=host --name mongodb -e
MONGO_INITDB_ROOT_USERNAME=mongoadmin -e
Now you need to setup Database and collection:
```shell script
-docker exec -it <container_id> mongo -u mongoadmin -p secret
-> use test
-switched to db test
-> db.createCollection("log", { capped : true, size : 5242880, max : 50000 } )
-{ "ok" : 1 }
->
+cat scripts/populate.js | docker exec -i <container_id> mongo -u mongoadmin -p
secret --quiet
```
The MongoDB setup is done now.
@@ -64,7 +59,7 @@ docker run --rm -ti \
-v $PWD/data:/etc/camel:Z \
-e CAMEL_K_CONF=/etc/camel/application.properties \
--network="host" \
- quay.io/oscerd/kafka-mongo:1.0-SNAPSHOT-jvm
+ quay.io/oscerd/mongo-kafka:1.0-SNAPSHOT-jvm
```
## Enabling JFR
@@ -76,7 +71,7 @@ docker run --rm -ti \
-v $PWD/jfr:/work/jfr:Z \
-e CAMEL_K_CONF=/etc/camel/application.properties \
--network="host" \
- quay.io/oscerd/kafka-mongo:1.0-SNAPSHOT-jvm
+ quay.io/oscerd/mongo-kafka:1.0-SNAPSHOT-jvm
```
Now you can start JFR with the following command
@@ -100,7 +95,7 @@ docker run --rm -ti \
-v async_profiler_path:/work/async-profiler:Z \
-e CAMEL_K_CONF=/etc/camel/application.properties \
--network="host" \
- quay.io/oscerd/kafka-mongo:1.0-SNAPSHOT-jvm
+ quay.io/oscerd/mongo-kafka:1.0-SNAPSHOT-jvm
```
Where async profiler path is the path of your async profiler on your host
machine.
@@ -130,7 +125,7 @@ docker run --rm -ti \
--network="host" \
-m 128m \
--cpu-quota="25000" \
- quay.io/oscerd/kafka-mongo:1.0-SNAPSHOT-jvm
+ quay.io/oscerd/mongo-kafka:1.0-SNAPSHOT-jvm
```
In this case we are allocating 128 Mb Memory to the container and 0.25% cpus.
@@ -139,7 +134,7 @@ In this case we are allocating 128 Mb Memory to the
container and 0.25% cpus.
In the pom you can also set a different Heap Size. The default is 64 Mb.
-## Send messages to Kafka
+## Read messages from Kafka
You'll need also kafkacat to be able to inject the filename header and use the
burst script
@@ -147,31 +142,6 @@ You'll need also kafkacat to be able to inject the
filename header and use the b
export KAFKACAT_PATH=<path_to_your_kafkacat>
```
-And now run the burst script.
-
-This command for example will send 1000 messages with payload "payload" to the
topic "testtopic"
-
-```shell script
-cd script/
-> ./burst.sh -b localhost:9092 -n 1000 -t testtopic -p "payload"
-```
-
-You could also tests this approach with multiple producers, through the
multiburst script
-
-```shell script
-cd script/
-> ./multiburst.sh -s 5 -b localhost:9092 -n 1000 -t testtopic -p "payload"
-```
-
-In both the example the payload needs to be a JSON.
-
-For example a good payload could be
-
-```shell script
-./burst.sh -b localhost:9092 -t testtopic -n 50000 -p '{"name": "Ada
Lovelace", "age": 205}'
-```
-
-This command will run 5 burst script with 1000 messages each one with payload
"{"name": "Ada Lovelace", "age": 205}" to the Kafka instance running on
localhost:9092 and the topic "testtopic"
