Examples with ExecuteConfig com.alibaba.maxgraph.compiler.executor.ExecuteConfig used on opensource projects

Example 1 with ExecuteConfig

use of com.alibaba.maxgraph.compiler.executor.ExecuteConfig in project GraphScope by alibaba.

the class MixedTraversalOpProcessor method doProcessTraversal.

private Long doProcessTraversal(Context context, Object object, Graph graph, long timeout, String queryId, Stopwatch timer) {
    Pair<GraphSchema, Long> snapshotSchema;
    GraphSchema schema;
    Long resultNum = 0L;
    if (object instanceof GraphTraversal.Admin || object instanceof DfsTraversal) {
        QueryStatus queryStatus;
        GraphTraversal.Admin traversal = (object instanceof GraphTraversal.Admin) ? GraphTraversal.Admin.class.cast(object) : (DfsTraversal.class.cast(object)).getTraversal();
        String queryString = traversal.toString();
        logger.info("Receive traversal query=>" + queryString);
        if (!traversal.isLocked()) {
            traversal.getStrategies().removeStrategies(ProfileStrategy.class, MxGraphStepStrategy.class, FilterRankingStrategy.class);
        }
        traversal.applyStrategies();
        NettyVertexRpcProcessor nettyVertexRpcProcessor;
        QueryFlowManager queryFlowManager;
        // 保证一查看到snapshotId就开始维护query_status
        synchronized (queryCallbackManager) {
            snapshotSchema = schemaFetcher.getSchemaSnapshotPair();
            queryStatus = queryCallbackManager.beforeExecution(snapshotSchema.getRight());
        }
        schema = snapshotSchema.getLeft();
        LogicalPlanOptimizer planOptimizer = new LogicalPlanOptimizer(new OptimizeConfig(), this.globalPullGraphFlag, schema, snapshotSchema.getRight(), this.lambdaEnableFlag);
        final int resultIterationBatchSize = (Integer) context.getRequestMessage().optionalArgs(Tokens.ARGS_BATCH_SIZE).orElse(this.resultIterationBatchSize);
        nettyVertexRpcProcessor = new NettyTraverserVertexProcessor(context, resultIterationBatchSize, false);
        try {
            queryFlowManager = (object instanceof GraphTraversal.Admin) ? planOptimizer.build(GraphTraversal.class.cast(traversal)) : planOptimizer.build(DfsTraversal.class.cast(object));
        } catch (IllegalArgumentException iae) {
            if (iae.getMessage().contains("MaxGraphIoStep")) {
                logger.info("do maxgraph io step");
                while (traversal.hasNext()) {
                    logger.info("maxgraph io hasNext");
                }
                nettyVertexRpcProcessor.finish(ResponseStatusCode.SUCCESS);
                return 0L;
            }
            throw iae;
        }
        try {
            boolean isLambdaExisted = TraversalHelper.anyStepRecursively(s -> s instanceof LambdaHolder, (Traversal.Admin<?, ?>) traversal);
            queryFlowManager.getQueryFlow().setFrontId(serverId);
            if (this.lambdaEnableFlag && isLambdaExisted) {
                final ObjectMapper mapper = GraphSONMapper.build().version(GraphSONVersion.V3_0).addCustomModule(GraphSONXModuleV3d0.build().create(false)).create().createMapper();
                Bytecode bytecode = (Bytecode) context.getRequestMessage().getArgs().get(Tokens.ARGS_GREMLIN);
                byte[] bytecodeByte = mapper.writeValueAsBytes(bytecode);
                queryFlowManager.getQueryFlow().setLambdaExisted(isLambdaExisted).setBytecode(ByteString.copyFrom(bytecodeByte));
            }
            GremlinResultTransform gremlinResultTransform = new GremlinResultTransform(remoteRpcConnector, nettyVertexRpcProcessor, this.graph, queryFlowManager.getResultValueType(), vertexCacheFlag);
            NettyResultProcessor nettyResultProcessor = new NettyResultProcessor(queryId, traversal.toString(), context, new ExecuteConfig().getBatchQuerySize(), resultIterationBatchSize, false);
            nettyResultProcessor.setSchema(schema);
            nettyResultProcessor.setResultTransform(gremlinResultTransform);
            nettyResultProcessor.setLabelIndexNameList(queryFlowManager.getTreeNodeLabelManager().getUserIndexLabelList());
            TimelyQuery timelyQuery = new TimelyQuery(queryFlowManager, nettyResultProcessor, this.graph);
            Logging.query(this.graphName, FRONTEND, this.serverId, queryId, QueryType.EXECUTE, QueryEvent.PLAN_GENERATED, timer.elapsed(TimeUnit.NANOSECONDS), null, null, "");
            timelyExecutor.execute(timelyQuery, schema, timeout, queryId);
            resultNum = nettyResultProcessor.total();
        } catch (JsonProcessingException e) {
            e.printStackTrace();
        } finally {
            queryCallbackManager.afterExecution(queryStatus);
        }
    } else {
        throw new IllegalArgumentException("Not support to process=>" + object);
    }
    return resultNum;
}