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acosentino pushed a commit to branch main
in repository https://gitbox.apache.org/repos/asf/camel-performance-tests.git

commit 939c28aa7164df42bbfca9c9de8740a7a43f1194
Author: Andrea Cosentino <[email protected]>
AuthorDate: Wed Oct 13 07:26:39 2021 +0200

    Added Kafka to SQL with exchange pooling profiling example, updated README
---
 profiling/kafka-sql-exchange-pooling/README.md | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/profiling/kafka-sql-exchange-pooling/README.md 
b/profiling/kafka-sql-exchange-pooling/README.md
index 7fe1567..c07b197 100644
--- a/profiling/kafka-sql-exchange-pooling/README.md
+++ b/profiling/kafka-sql-exchange-pooling/README.md
@@ -1,4 +1,4 @@
-# Kafka to SQL
+# Kafka to SQL with Exchange pooling
 
 First of all run the command to start PostgreSQL
 
@@ -62,7 +62,7 @@ docker run --rm -ti \
     -v $PWD/data:/etc/camel:Z \
     -e CAMEL_K_CONF=/etc/camel/application.properties \
     --network="host" \
-    quay.io/oscerd/kafka-sql:1.0-SNAPSHOT-jvm
+    quay.io/oscerd/kafka-sql-exchange-pooling:1.0-SNAPSHOT-jvm
 ```
 
 ## Enabling JFR 
@@ -74,7 +74,7 @@ docker run --rm -ti \
     -v $PWD/jfr:/work/jfr:Z \
     -e CAMEL_K_CONF=/etc/camel/application.properties \
     --network="host" \
-    quay.io/oscerd/kafka-nats:1.0-SNAPSHOT-jvm
+    quay.io/oscerd/kafka-sql-exchange-pooling:1.0-SNAPSHOT-jvm
 ```
 
 Now you can start JFR with the following command
@@ -98,7 +98,7 @@ 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-sql:1.0-SNAPSHOT-jvm
+    quay.io/oscerd/kafka-sql-exchange-pooling:1.0-SNAPSHOT-jvm
 ```
 
 Where async profiler path is the path of your async profiler on your host 
machine.
@@ -128,7 +128,7 @@ docker run --rm -ti \
     --network="host" \ 
     -m 128m \ 
     --cpu-quota="25000" \ 
-    quay.io/oscerd/kafka-sql:1.0-SNAPSHOT-jvm
+    quay.io/oscerd/kafka-sql-exchange-pooling:1.0-SNAPSHOT-jvm
 ```
 
 In this case we are allocating 128 Mb Memory to the container and 0.25% cpus.

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