{"record":{"id":"ac577c9a6076a412","repo":"apache/flink","slug":"failed-to-trigger-a-savepoint-for-the-job","errorCode":null,"errorMessage":"Failed to trigger a savepoint for the job {}.","messagePattern":"Failed to trigger a savepoint for the job (.+?)\\.","errorType":"exception","errorClass":"FlinkException","httpStatus":null,"severity":"error","filePath":"flink-clients/src/main/java/org/apache/flink/client/cli/CliFrontend.java","lineNumber":876,"sourceCode":"            SavepointFormatType formatType,\n            Duration clientTimeout)\n            throws FlinkException {\n        logAndSysout(\"Triggering savepoint for job \" + jobId + '.');\n\n        CompletableFuture<String> savepointPathFuture =\n                clusterClient.triggerSavepoint(jobId, savepointDirectory, formatType);\n\n        logAndSysout(\"Waiting for response...\");\n\n        try {\n            final String savepointPath =\n                    savepointPathFuture.get(clientTimeout.toMillis(), TimeUnit.MILLISECONDS);\n\n            logAndSysout(\"Savepoint completed. Path: \" + savepointPath);\n            logAndSysout(\"You can resume your program from this savepoint with the run command.\");\n        } catch (Exception e) {\n            Throwable cause = ExceptionUtils.stripExecutionException(e);\n            throw new FlinkException(\n                    \"Failed to trigger a savepoint for the job \" + jobId + \".\", cause);\n        }\n    }\n\n    /** Sends a SavepointTriggerMessage to the job manager in detached mode. */\n    private void triggerDetachedSavepoint(\n            ClusterClient<?> clusterClient,\n            JobID jobId,\n            String savepointDirectory,\n            SavepointFormatType formatType,\n            Duration clientTimeout)\n            throws FlinkException {\n        logAndSysout(\"Triggering savepoint in detached mode for job \" + jobId + '.');\n\n        try {\n            final String triggerId =\n                    clusterClient\n                            .triggerDetachedSavepoint(jobId, savepointDirectory, formatType)","sourceCodeStart":858,"sourceCodeEnd":894,"githubUrl":"https://github.com/apache/flink/blob/2f3c205e9266cb30240eb7f4fdab15cad629a70f/flink-clients/src/main/java/org/apache/flink/client/cli/CliFrontend.java#L858-L894","documentation":"Thrown from NestedPrimitiveColumnReader.fillColumnVector when the column's LogicalType.getTypeRoot() matches no case in the vector-materialization switch — the reader successfully decoded values but cannot build a result vector for that type root. This is the materialization-stage sibling of the read/decode switches; the message names the type.","triggerScenarios":"A nested column whose type root is not in fillColumnVector's cases (e.g. TIME, DATE, BOOLEAN, or newer type roots); adding a logical type to the reader without extending fillColumnVector.","commonSituations":"Lists/maps of scalar types the nested reader never learned to materialize; reading files after a Flink upgrade that widened type support in some switches but not this one.","solutions":["Identify the type from the message and confirm it is absent from fillColumnVector's switch in your Flink version","Avoid or transform the column: project it out, or convert the file so the nested element type is one Flink materializes (INT/DOUBLE/VARCHAR/BINARY/TIMESTAMP/DECIMAL cases)","Flatten the nested structure at write time if possible","Report/upgrade: this is a reader capability gap, fixed only by adding a case"],"exampleFix":null,"handlingStrategy":"type-guard","validationCode":"// Before the read, ensure the nested column's type root is one fillColumnVector materializes\nif (!NESTED_SUPPORTED.contains(logicalType.getTypeRoot())) {\n    throw new IllegalArgumentException(\n        \"Nested column '\" + name + \"' of type \" + logicalType\n        + \" cannot be materialized by the Parquet vectorized reader\");\n}","typeGuard":"static boolean materializableNestedRoot(LogicalTypeRoot r) {\n    return NESTED_SUPPORTED.contains(r) || r == LogicalTypeRoot.DECIMAL;\n}","tryCatchPattern":"try {\n    reader.readAndNewVector(...);\n} catch (RuntimeException e) {\n    if (String.valueOf(e.getMessage()).startsWith(\"Unsupported type in the list\")) {\n        failJobWithSchemaHint(schema); // deterministic schema/read mismatch\n    } else throw e;\n}","preventionTips":["Validate nested element types against the reader's materialization matrix during schema registration","Prefer flat (non-nested) layouts for scalar types outside the supported set","Re-run nested-schema compatibility checks after Flink upgrades"],"tags":["parquet","nested","type-mismatch","vector"],"backgroundTag":null,"analyzedSha":"2f3c205e9266cb30240eb7f4fdab15cad629a70f","analyzedAt":"2026-08-14T08:48:24.518Z","schemaVersion":2},"datasetVersion":"2026-08-14T10:17:34.591Z"}