Pod JVM SQL exception
Cause JDBC calls from a JVM running in a target Kubernetes pod to throw a configurable exception on a chosen table and SQL operation so you can test caller error handling.
Pod JVM SQL exception is a Kubernetes pod-level chaos fault that causes JDBC calls from a JVM running in a target container to throw a configurable exception on a chosen table and SQL operation for a configurable duration. Only matched calls fail; unrelated queries and other code paths run normally. When the fault ends, JDBC calls behave normally again immediately.
Use this fault to test how a Java service handles database failures: a primary that goes read-only, a specific table that returns errors, or an UPDATE that rejects writes.
Use cases
Run this fault when you want to answer concrete questions like:
Driver-level error handling: When a
SELECTon a specific table throws, does the caller retry, fall back, or fail closed?Write-path resilience: If
INSERTorUPDATEraises an exception on a critical table, does the application surface a clear error or silently lose the write?Transaction rollback: For multi-statement transactions, does an exception trigger a clean rollback?
Retry semantics: Does the application honor JDBC driver retry semantics, or do user-code retries amplify load?
Mixed-operation scope: Confirm that failing
SELECTon one table does not unintentionally fail other tables or other operations on the same table.
Prerequisites
Kubernetes version: 1.21 or later. Go to What's supported to confirm distribution support.
Target pod is Running: The Java application pod is in the
Runningstate.Java agent attach available: The Java process allows agent attach. Utilities such as
ps,pgrep, andbashare present in the container, and the JVM is not built with a restricted runtime that strips attach modules.JDBC driver in classpath: The target JVM uses a supported JDBC driver matching
SQL_DATA_ACCESS_FRAMEWORK.Privileged pods allowed: The cluster lets you schedule privileged pods in the chaos namespace. GKE Autopilot supports this fault but requires the one-time setup in Chaos on GKE Autopilot; other locked-down distributions may need similar exemptions.
Container runtime access: The chaos pod can reach the container runtime socket on the target node (
/run/containerd/containerd.sock,/var/run/docker.sock, or/var/run/crio/crio.sock).Workload selector defined: The chaos experiment knows the target workload by kind, namespace, and either names or labels.
Supported environments
Amazon EKS
Supported
Azure AKS
Supported
Google GKE
Supported
Red Hat OpenShift
Supported
Rancher
Supported
VMware Tanzu
Supported
Self-managed Kubernetes (CNCF-certified)
Supported
GKE Autopilot
Supported with Autopilot setup
EKS Fargate, ACI virtual nodes
Not supported (no access to container runtime sockets)
Permissions required
The fault runs under the chaos infrastructure's service account.
Resource (apiGroup)
Verbs
Why it is needed
pods ("")
get, list, create, delete, deletecollection, patch, update
Discover target pods and run the chaos pod on the same node
pods/log ("")
get, list, watch
Stream chaos pod logs for status and debugging
deployments, statefulsets, replicasets, daemonsets (apps)
get, list
Resolve the target workload to the pods it owns
events ("")
get, list, create, patch, update
Record fault progress as Kubernetes events
jobs (batch)
get, list, create, delete, deletecollection
Run the chaos job that drives the fault
The default Harness chaos infrastructure service account already includes these permissions.
Fault tunables
Configure the following fault parameters when you add Pod JVM SQL exception to an experiment in Chaos Studio. Defaults are shown for reference.
SQL filters
TABLE
Target database table name. Empty matches all tables.
""
SQL_OPERATION
SQL operation to target. Common values: SELECT, INSERT, UPDATE, DELETE. Empty matches all operations.
""
SQL_DATA_ACCESS_FRAMEWORK
JDBC driver framework identifier. For example MYSQL8.
"MYSQL8"
TRANSACTION_PERCENTAGE
Percentage of matched SQL statements to fail, between 0 and 100. 0 fails none; 100 fails every match.
0
Exception
EXCEPTION_CLASS
Exception class to throw. Defaults to a common runtime exception.
"IllegalArgumentException"
EXCEPTION_MESSAGE
Message attached to the thrown exception.
"CHAOS BOOM!"
Chaos parameters
TOTAL_CHAOS_DURATION
Duration of the fault in seconds.
60
JVM
BYTEMAN_PORT
Port on which the Byteman agent listens inside the container. Must not conflict with any port already in use.
9091
JAVA_HOME
Absolute path to the Java installation inside the container. Empty auto-detects from PATH.
""
Targeting
TARGET_PODS
Comma-separated list of pod names to target. Empty selects from the workload's pods using POD_AFFECTED_PERCENTAGE.
""
TARGET_CONTAINER
Container in the pod running the JVM. Empty targets the first container in the pod spec.
""
NODE_LABEL
Label selector to filter target pods by the node they run on. Empty disables node-based filtering.
""
POD_AFFECTED_PERCENTAGE
Percentage of the workload's pods to target. 0 means one pod.
0
SEQUENCE
When multiple pods are targeted, inject parallel (all at once) or serial (one after another).
parallel
Runtime and helper
CONTAINER_RUNTIME
Container runtime on the target nodes. One of containerd, docker, crio.
containerd
SOCKET_PATH
Path to the container runtime socket on the target node. Set to match CONTAINER_RUNTIME.
/run/containerd/containerd.sock
RAMP_TIME
Wait period in seconds before and after the fault. Go to ramp time to read how it is applied.
0
Common pod selection tunables (TARGET_WORKLOAD_KIND, TARGET_WORKLOAD_NAMESPACE, TARGET_WORKLOAD_NAMES, TARGET_WORKLOAD_LABELS) are documented in common pod fault tunables. Tunables that apply to every fault are documented in common tunables for all faults.
Configure for your container runtime
Set CONTAINER_RUNTIME and SOCKET_PATH to match the runtime on the target node:
CONTAINER_RUNTIME
SOCKET_PATH
containerd (default)
/run/containerd/containerd.sock
docker
/var/run/docker.sock
crio
/var/run/crio/crio.sock
Fault execution in brief
Attaches a Java agent to the target JVM and intercepts JDBC statements matching TABLE and SQL_OPERATION for the configured SQL_DATA_ACCESS_FRAMEWORK to throw an instance of EXCEPTION_CLASS with EXCEPTION_MESSAGE on the configured percentage of calls, for TOTAL_CHAOS_DURATION seconds.
Expected behavior during fault execution
Matched SQL statements throw the configured exception. Other statements and unrelated tables run normally.
Application logs show stack traces from the configured exception class. Caller code paths surface the failure as application-level errors, retries, or fallbacks.
The database itself is not stressed; from the database's perspective, no statement was executed for the failed calls.
Tracing systems show the JDBC span ending in error.
Signals to watch
Attach resilience probes to assert each layer:
Application error rate: Use an HTTP probe against endpoints that read or write to the targeted table.
JDBC error metrics: Use a Prometheus probe on
jdbc.connections.errorsor your APM's database error counter.Application logs: Use a command probe to grep container logs for the configured
EXCEPTION_MESSAGE.
Verify the fault execution effect
While the experiment is running, confirm operations are failing:
Exercise the matched operation from a client.
The response should reflect the failure.
Confirm the exception in logs.
Recovery and cleanup
End of duration: JDBC calls behave normally again automatically.
Abort the experiment: Stopping the experiment from Chaos Studio triggers the same cleanup path.
Stuck state: If a downstream circuit breaker stays open or a connection pool is exhausted, follow the application's recovery procedure or restart the pod.
Limitations
Serverless Kubernetes (EKS Fargate, ACI virtual nodes): These platforms do not expose container runtime sockets and reject the privileged access the fault needs. GKE Autopilot is supported once the one-time setup in Chaos on GKE Autopilot is in place.
Windows containers: This fault is supported on Linux pods only.
Non-JVM and non-JDBC workloads: This fault targets JDBC drivers inside a JVM.
ORM caching: ORMs that cache results may continue to serve queries from cache without going through the driver, bypassing the fault on those calls.
Troubleshooting
Related faults
Pod JVM SQL latency: Add latency to SQL statements instead of failing them.
Pod JVM Mongo exception: MongoDB equivalent for the MongoDB Java driver.
Pod JVM method exception: Generic Java method-level exception injection.
Common pod fault tunables: Shared environment variables for selecting target pods and workloads.
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