apache/seatunnel · error · HugeGraphConnectorException

GRAPH_OPERATION_FAILED

GRAPH_OPERATION_FAILED

Error message

Failed to write vertex batch

What it means

flushVertexGroup submits a batch of vertices to HugeGraph via batchUpdateVertices/batchInsertVertices. When the HugeClient call throws and batch failure fallback is disabled, the error is wrapped as GRAPH_OPERATION_FAILED with 'Failed to write vertex batch', failing the whole batch.

Source

Thrown at seatunnel-connectors-v2/connector-hugegraph/src/main/java/org/apache/seatunnel/connectors/seatunnel/hugegraph/buffer/BatchBuffer.java:207

        }
    }

    private void flushVertexGroup(
            List<GraphElementEnvelope> batch, Map<String, UpdateStrategy> updateStrategies) {
        try {
            List<Vertex> vertices =
                    batch.stream()
                            .map(env -> (Vertex) env.getElement())
                            .collect(Collectors.toList());
            if (updateStrategies.isEmpty()) {
                client.batchWriteVertices(vertices);
            } else {
                client.batchUpdateVertices(vertices, updateStrategies);
            }
        } catch (Exception e) {
            if (!batchFailureFallback) {
                logBatchFailure(batch, e);
                throw new HugeGraphConnectorException(
                        HugeGraphConnectorErrorCode.GRAPH_OPERATION_FAILED,
                        "Failed to write vertex batch",
                        e);
            }
            fallbackInsertSingly(batch, e);
        }
    }

    private void doFlushEdges() {
        if (edgeBuffer.isEmpty()) {
            return;
        }
        List<GraphElementEnvelope> batch = new ArrayList<>(edgeBuffer);
        edgeBuffer.clear();
        for (Map.Entry<Map<String, UpdateStrategy>, List<GraphElementEnvelope>> group :
                groupByStrategy(batch).entrySet()) {
            flushEdgeGroup(group.getValue(), group.getKey());
        }

View on GitHub (pinned to cf67b549a7)

Solutions

1. Read the underlying cause (logBatchFailure output) to find the server-side reason.
2. Enable batch_failure_fallback=true so the batch is retried record-by-record instead of failing.
3. Ensure the schema (vertex labels, property keys, indexes) exists in HugeGraph before running the job.
4. Reduce batch_size and increase timeouts if the server rejects oversized/slow batches.

Example fix

// before
HugeGraph {
  batch_size = 500
}
// after
HugeGraph {
  batch_size = 100
  batch_failure_fallback = true
}

// pre-flight: ensure labels exist
Map<String,Object> schema = hugeGraphClient.getSchema();
// verify vertex label of each element exists before flushing

try {
    flushVertexGroup(batch);
} catch (HugeGraphConnectorException e) {
    if (e.getErrorCode() == HugeGraphConnectorErrorCode.GRAPH_OPERATION_FAILED) {
        LOG.error("vertex batch failed; cause: {}", e.getCause(), e); // read cause for server reason
    }
    throw e;
}

When it happens

Trigger: HugeGraph server rejects or errors on a vertex batch write (schema violation, missing vertex label, server timeout, connection drop) while batch_failure_fallback is false.

Common situations: Vertex label or property keys not created in schema; batch size exceeding server limits; HugeGraph under load causing timeouts; network interruption between SeaTunnel worker and HugeGraph.

Related errors

• Single-record fallback completed: {} succeeded, {} failed an
• COMMON_SQL_OPERATION_FAILED
• COMMON_FLUSH_DATA_FAILED
• BUFFER_ADD_FAILED
• BUILD_CLIENT_FAILED

AI-assisted analysis of apache/seatunnel@cf67b549a7 (2026-09-10). Data as JSON: /api/errors/4b5987248c17271f. Report an issue: GitHub.