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[CLOUD-2262][EAP7-1192] txn propagation over ejb remoting on OpenShift
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= Transactions propagation and recovery over EJB remoting on OpenShift | ||
:author: Ondrej Chaloupka | ||
:email: [email protected] | ||
:toc: left | ||
:icons: font | ||
:idprefix: | ||
:idseparator: - | ||
:keywords: openshift,transactions,EJB,remoting,recovery | ||
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== Overview | ||
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The OpenShift JBoss EAP images | ||
https://access.redhat.com/documentation/en-us/red_hat_jboss_enterprise_application_platform/7.0/html-single/red_hat_jboss_enterprise_application_platform_for_openshift/#unsupported_transaction_recovery[do not support transaction handling] | ||
with subordinate transactions. That means it does not support the case | ||
when JBoss EAP instance calls other JBoss EAP instance over EJB remote call | ||
while transaction context is passed along such call. Currently, in such | ||
scenario, the transaction outcome is arbitrary. | ||
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=== The problem outline - bare metal example | ||
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Let's step back to define the example scenario. We have two bare-metal installations | ||
of JBoss EAP instances. The first JBoss EAP (naming it as `A`) calls the second one | ||
(naming it as `B`) with EJB remote call. Let's depict it as `A -> B`. | ||
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In such case, there is a call from one host with an IP address to another host. | ||
The server `A` starts a transaction (we say top-level transaction is started) | ||
and make the EJB call to `B`. Along with this call, the transaction context is passed. | ||
Passing context means there is a transaction id passed along the EJB remote call. | ||
The receiving side (server `B`) obtains the transaction id and it starts | ||
a child transaction on its side (we call it subordinate transaction). | ||
This subordinate transaction have set up the parent transaction being that top-level | ||
one started at server `A`. The subordinate transaction cannot decide independently | ||
about the transaction outcome. The subordinate transaction is driven by the top-level. | ||
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. a client calls EJB at server `A` | ||
. top-level transaction of id `top-level-A` is started | ||
. server `A` calls server `B` with EJB call | ||
. transaction context with id `top-level-A` is propagated to server `B` | ||
. server `B` starts subordinate transaction id `subordinate-B` with parent transaction of id `top-level-A` | ||
. server `B` does some business logic, ends the work and return the call back to `B` | ||
. server `B` waits for being called from server `A` | ||
. server `A` finishes business logic, ends the work and start with finishing the transaction `top-level-A` | ||
** finishing the transaction means starting https://developer.jboss.org/wiki/TwoPhaseCommit2PC[two phase commit] | ||
. server `A` calls prepare on all resources it works with, one of them is the remote call to B with the transaction `subordinate-B` | ||
. server `A` makes the remote `prepare` call to server `B` | ||
. server `B` prepares all the resources it had worked with, | ||
the `subordinate-B` is marked as prepared and the server returns back to `A` | ||
. server `A` declares the `top-level-A` to be prepared | ||
. server `A` makes the remote `commit` call to server `B` | ||
. server `B` commits all resources it had worked with, | ||
the `subordinate-B` is marked as committed and returns back to `A` | ||
. server `A` declares the `top-level-A` to be committed | ||
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What happens when a crash of some server happens during the transaction processing? | ||
There is a process called recovery manager which periodically tries to finish | ||
transactions in error state. | ||
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Let' say the server `A` had crashed somewhere during the work on finishing the transaction. | ||
Then the `subordinate-B` transaction is sitting idle waiting for being instructed | ||
from server `A`. When server `A` is restarted it loads information about | ||
unfinished transactions. The recovery manager at server `A` makes the remote | ||
call to server `B` to finish transaction `subordinate-B`. | ||
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If there is the server `B` which crashes then server `A` periodically tries | ||
to connect to server `B` until the server `B` is restarted (with the same | ||
hostname/IP address it was available before the crash). If `B` is restarted | ||
then it accepts the call and the `subordinate-B` could be finished. | ||
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On top of that, the Narayana transaction manager works with the notion of `node identifier`. | ||
The `node identifier` is stored as part of the transaction id in the Narayana object store. | ||
That means that the transaction id `subordinate-B` is capable to provide | ||
information that node `A` is the node which started the top level transaction `top-level-A` | ||
which is its parent transaction. | ||
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Narayana uses http://narayana.io/docs/project/index.html#d0e9393[presumed abort strategy]. | ||
That simply means if there is no information found in the Narayana object store | ||
about the transaction then all discovered participants are commanded to roll-back. | ||
This for example means that if Narayana has no record about transaction `subordinate-B` | ||
in the object store and after restart of server `A` it finds that there is such | ||
transaction it ask the server `B` to roll-back it.+ | ||
It's important to say that record to object store is saved only after successful | ||
prepare (as phase of the two-phase commit procedure) happens. | ||
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NOTE: Information about unfinished (in-doubt) transactions | ||
is basically stored at three places - Narayana transaction object store | ||
contains in-doubt transaction info, | ||
the configuration of `standalone.xml` stores definition of remote outbound connection | ||
for the server knows the endpoints to connect to | ||
and unfinished transactions at the side of EJB remoting are presented by | ||
files stored with | ||
https://github.com/wildfly/wildfly-transaction-client/blob/1.1.3.Final/src/main/java/org/wildfly/transaction/client/provider/jboss/FileSystemXAResourceRegistry.java[WildFly Transaction Client]. | ||
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=== The problem outline - OpenShift deployment | ||
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If a user deploys an EAP instance to OpenShift he considers smooth use of horizontal | ||
scaling with OpenShift primitives. That's the JBoss EAP image is deployed | ||
under the OpenShift service and a pod is started for it. | ||
The user expects to be able to scale up and scale down the number of EAP instances | ||
running under the service. By default | ||
https://github.com/jboss-container-images/jboss-eap-7-openshift-image/blob/CD15/templates/eap-cd-basic-s2i.json#L298[the offered configuration for EAP] | ||
is with using the `DeploymentConfig` which is backed by the | ||
https://docs.openshift.com/container-platform/3.9/architecture/core_concepts/deployments.html#deployments-and-deployment-configurations[ReplicationController]. | ||
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Use of the `ReplicationController` means the `service` provides automatic | ||
load balancing with round robin | ||
when multiple instances of EAP are started under the scope of one service. | ||
The pods started by the `ReplicationController` are provided with floating hostname | ||
which is constructed in a way like `eap-app-<arbitrary-hash>`. When the pod is rescheduled | ||
(for example the node is switched off) the pod is started again but with different | ||
hostname. Then the storage of the node is ephemeral by default. But as we said | ||
the recovery expects the data to survive restarting the pod. | ||
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Let's show the issues that the OpenShift brings for the transaction propagation. | ||
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Storage volatility:: | ||
if the pod crashes there is not ensured that the data stored in the Narayana | ||
object store will be available for the newly started pod | ||
Pod hostname volatility:: | ||
if the pod crashes it's started with different hostname which means the server `A` | ||
has an issue to contact the server `B` as `B` is assigned at a different "place" | ||
than it was before the restart | ||
Service calls are not transaction sticky:: | ||
the service uses load balancing of requests. If we say we have two server instances | ||
started under each service. Let's say the first instance of server `A` calls | ||
the instance of server `B` with the transaction being propagated. It could happen | ||
that the follow-up call for the `prepare/commit` hits the second instance | ||
of server `B` which has no idea about the existence of such transaction. | ||
Scale-down object store orphanage:: | ||
if the user decides to scale-down the number of instances under the particular service | ||
then there could be left unfinished records of in-doubt transactions | ||
in the orphaned object store | ||
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=== Solution design | ||
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The solution is about to be constructed on OpenShift primitives to provides | ||
a similar environment to bare metal. | ||
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The https://kubernetes.io/docs/concepts/workloads/controllers/statefulset/[StatefulSet] | ||
brings storage and hostname stability. The `StatefulSet` starts pods with | ||
stable hostname which is not changed even after pod is restarted/rescheduled. | ||
It ensures the same data storage, as it was before pod restart, will be bound to the restarted pod. | ||
`StatefulSet` "deactivates" the service load balancing capabilities and leaves | ||
the application to manage the balancing on its own. Here the JBoss EAP | ||
clustering abilities will be used to ensures the transaction stickiness. | ||
Handling of data from orphaned object store after scale-down anticipates user manual intervention. | ||
The user has to manually deactivate the pod from receiving traffic, | ||
then let the pod to finish all the unfinished transactions and | ||
and then it can turn-off the pod. If he does not do so he can experience | ||
unfinished blocked transactions in database or JMS brokers. | ||
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NOTE: The scela-down issues should be possible automatized with use of the | ||
https://github.com/luksa/statefulset-scaledown-controller[StatefulSet Scale-Down Controller]. | ||
The usage of this is currently not expected to be in scope of thie feature | ||
request. \+ | ||
The StatefulSet Scale-Down Controller is not the Kubernetes/OpenShift native | ||
object but it's an extension provided to manage this kind of situation. It was | ||
productized and is used by AMQ messaging system to migrate messages from the | ||
orphaned pods. See | ||
https://access.redhat.com/documentation/en-us/red_hat_amq/7.2/html/deploying_amq_broker_on_openshift_container_platform/journal-recovery-broker-ocp[Red Hat AMQ Broker documentation] | ||
and the Jira related to this functionality is | ||
https://issues.jboss.org/browse/ENTMQBR-1859[ENTMQBR-1859]. | ||
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If we take the individual issues this setup is about to solve them. | ||
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* _Storage volatility_ is about to be solved by the fact that `StatefulSet` | ||
guarantees to bind the same storage with same data to the re-started pod | ||
* _Pod hostname volatility_ is about to be solved by `StatefulSet` as the | ||
restarted pod remains with the same hostname as it had before restart | ||
* _Service calls are not transaction sticky_ is about to be solved by using | ||
JBoss EAP clustering. The JBoss EAP instances belonging under one service | ||
will establish cluster. This way the EJB remoting client will query the | ||
https://kubernetes.io/docs/concepts/services-networking/service/#headless-services[headless service]. | ||
The `headless service` returns hostnames of all instances under the service. | ||
The EJB remoting client is then capable to connect to one of them particularly | ||
and guarantee stickiness for Stateful beans and for transction calls | ||
or uses the proper load balancing capability if Stateless beans are called. + | ||
When a new EAP instances are started then EJB remoting client is capable to gather | ||
new cluster topology and works based on the new setup. | ||
* _Scale-down object store orphanage_ is about to be solved by | ||
manual user intervation. He can't let the pod being removed from the service | ||
until time all the transactions are processed. Hopefully the functionality | ||
of the graceful shutdown that JBoss EAP provides could be used here. | ||
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=== Known related issues | ||
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In the current setup, the transaction propagation with recovery works only when | ||
a remote outbound connection is used. Up to that, there are some issues on transaction propagation | ||
over EJB which are related to https://issues.jboss.org/browse/JBEAP-13963[JBEAP-13963]. | ||
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Up to this the programmatic way for defining the EJB remote call (aka. dynamically | ||
call EJB without the use of remote outbound connection configuration for it) | ||
should be possible. That's tracked as issue https://issues.jboss.org/browse/JBEAP-16149[JBEAP-16149]. | ||
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For the issues of the subordinate transactions which was fixed recently | ||
there is https://issues.jboss.org/browse/WFTC-52[WFTC-52] which was causing | ||
OOM on the remote side when EJB remoting with transactions was used. | ||
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== Issue Metadata | ||
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=== Issue | ||
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* https://issues.jboss.org/browse/CLOUD-2262[CLOUD-2262] | ||
* https://issues.jboss.org/browse/EAP7-1192[EAP7-1192] | ||
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=== Related Issues | ||
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* https://issues.jboss.org/browse/JBEAP-13963[JBEAP-13963] | ||
* https://issues.jboss.org/browse/JBEAP-16149[JBEAP-16149] | ||
* https://issues.jboss.org/browse/WFTC-52[WFTC-52] | ||
* https://issues.jboss.org/browse/CLOUD-2261[CLOUD-2261] | ||
* https://issues.jboss.org/browse/CLOUD-2542[CLOUD-2542] | ||
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=== Dev Contacts | ||
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* mailto:[email protected][Tomasz Adamski] | ||
* mailto:[email protected][Ondra Chaloupka] | ||
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=== QE Contacts | ||
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=== Testing By | ||
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[ ] Engineering | ||
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[x] QE | ||
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* mailto:[email protected][Francesco Marchioni] | ||
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=== Affected Projects or Components | ||
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* Narayana (transactions) | ||
* EJB | ||
* Remoting | ||
* Elytron | ||
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=== Other Interested Projects | ||
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* Clustering | ||
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== Requirements | ||
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=== Hard Requirements | ||
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* EJB remote calls have to work when application is deployed on JBoss EAP on OpenShift | ||
* The transaction consistency has to be guaranteed for the transactions propagated | ||
over the EJB remote calls | ||
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=== Nice-to-Have Requirements | ||
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=== Non-Requirements | ||
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== Developer Resources | ||
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* https://docs.google.com/document/d/1BbkjjCPWea7hQJgYPRRIvPKFpGyQPfAm4rBBFj4Eijg/edit?usp=sharing[Distributed transaction support in OpenShift] | ||
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//== Implementation Plan | ||
//// | ||
Delete if not needed. The intent is if you have a complex feature which can | ||
not be delivered all in one go to suggest the strategy. If your feature falls | ||
into this category, please mention the Release Coordinators on the pull | ||
request so they are aware. | ||
//// | ||
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== Test Plan | ||
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== Community Documentation | ||
//// | ||
Generally a feature should have documentation as part of the PR to wildfly master, or as a follow up PR if the feature is in wildfly-core. In some cases though the documentation belongs more in a component, or does not need any documentation. Indicate which of these will happen. | ||
//// |