zyxxoo commented on code in PR #2319:
URL:
https://github.com/apache/incubator-hugegraph/pull/2319#discussion_r1351292741
##########
hugegraph-server/hugegraph-api/src/main/java/org/apache/hugegraph/api/job/TaskAPI.java:
##########
@@ -136,11 +136,12 @@ public Map<String, Object> get(@Context GraphManager
manager,
@RedirectFilter.RedirectMasterRole
Review Comment:
看 DistributedTaskScheduler
实现，我理解就是所有的节点都会处理任务，通过分布式锁来保证任务只被一个节点处理，原来的方式任务只能被 master 提交，由 master
分配给其他节点处理，所以现在这个逻辑应该不需要了，对吧，硬刺这里RedirectFilter这里的拦截器实现可以加下开关，使用
DistributedTaskScheduler 的时候不生效
##########
hugegraph-server/hugegraph-core/src/main/java/org/apache/hugegraph/task/DistributedTaskScheduler.java:
##########
@@ -0,0 +1,666 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with this
+ * work for additional information regarding copyright ownership. The ASF
+ * licenses this file to You under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations
+ * under the License.
+ */
+
+package org.apache.hugegraph.task;
+
+import java.util.Collection;
+import java.util.Iterator;
+import java.util.concurrent.Callable;
+import java.util.concurrent.ConcurrentHashMap;
+import java.util.concurrent.ExecutorService;
+import java.util.concurrent.Executors;
+import java.util.concurrent.Future;
+import java.util.concurrent.ScheduledFuture;
+import java.util.concurrent.ScheduledThreadPoolExecutor;
+import java.util.concurrent.ThreadPoolExecutor;
+import java.util.concurrent.TimeUnit;
+import java.util.concurrent.TimeoutException;
+import java.util.concurrent.atomic.AtomicBoolean;
+import java.util.concurrent.locks.Lock;
+
+import org.apache.hugegraph.HugeException;
+import org.apache.hugegraph.HugeGraph;
+import org.apache.hugegraph.HugeGraphParams;
+import org.apache.hugegraph.backend.id.Id;
+import org.apache.hugegraph.backend.page.PageInfo;
+import org.apache.hugegraph.backend.query.QueryResults;
+import org.apache.hugegraph.concurrent.LockGroup;
+import org.apache.hugegraph.concurrent.LockManager;
+import org.apache.hugegraph.config.CoreOptions;
+import org.apache.hugegraph.exception.ConnectionException;
+import org.apache.hugegraph.exception.NotFoundException;
+import org.apache.hugegraph.meta.MetaManager;
+import org.apache.hugegraph.meta.lock.LockResult;
+import org.apache.hugegraph.structure.HugeVertex;
+import org.apache.hugegraph.util.E;
+import org.apache.hugegraph.util.LockUtil;
+import org.apache.hugegraph.util.Log;
+import org.apache.tinkerpop.gremlin.structure.Vertex;
+import org.slf4j.Logger;
+
+public class DistributedTaskScheduler extends TaskAndResultScheduler {
+ protected static final int SCHEDULE_PERIOD = 10;
+ private static final Logger LOG =
Log.logger(DistributedTaskScheduler.class);
+ private final ExecutorService taskDbExecutor;
+ private final ExecutorService schemaTaskExecutor;
+ private final ExecutorService olapTaskExecutor;
+ private final ExecutorService ephemeralTaskExecutor;
+ private final ExecutorService gremlinTaskExecutor;
+ private final ScheduledThreadPoolExecutor schedulerExecutor;
+ private final ScheduledFuture<?> cronFuture;
+
+ private final String lockGroupName;
+
+ /**
+ * the status of scheduler
+ */
+ private final AtomicBoolean closed = new AtomicBoolean(true);
+
+ private final ConcurrentHashMap<Id, HugeTask<?>> runningTasks = new
ConcurrentHashMap<>();
+
+ public DistributedTaskScheduler(HugeGraphParams graph,
+ ScheduledThreadPoolExecutor
schedulerExecutor,
+ ExecutorService taskDbExecutor,
+ ExecutorService schemaTaskExecutor,
+ ExecutorService olapTaskExecutor,
+ ExecutorService gremlinTaskExecutor,
+ ExecutorService ephemeralTaskExecutor,
+ ExecutorService serverInfoDbExecutor) {
+ super(graph, serverInfoDbExecutor);
+
+ this.taskDbExecutor = taskDbExecutor;
+ this.schemaTaskExecutor = schemaTaskExecutor;
+ this.olapTaskExecutor = olapTaskExecutor;
+ this.gremlinTaskExecutor = gremlinTaskExecutor;
+ this.ephemeralTaskExecutor = ephemeralTaskExecutor;
+
+ this.schedulerExecutor = schedulerExecutor;
+
+ lockGroupName = String.format("%s_%s_distributed", graphSpace, graph);
+ LockManager.instance().create(lockGroupName);
+
+ this.closed.set(false);
+
+ this.cronFuture = this.schedulerExecutor.scheduleWithFixedDelay(
+ () -> {
+ // TODO: uncomment later - graph space
+ // LockUtil.lock(this.graph().spaceGraphName(),
LockUtil.GRAPH_LOCK);
+ LockUtil.lock("", LockUtil.GRAPH_LOCK);
+ try {
+ // TODO: 使用超级管理员权限，查询任务
+ // TaskManager.useAdmin();
+ this.cronSchedule();
+ } catch (Throwable t) {
+ LOG.info("cronScheduler exception ", t);
+ } finally {
+ // TODO: uncomment later - graph space
+ LockUtil.unlock("", LockUtil.GRAPH_LOCK);
+ // LockUtil.unlock(this.graph().spaceGraphName(),
LockUtil.GRAPH_LOCK);
+ }
+ },
+ 10L, SCHEDULE_PERIOD,
+ TimeUnit.SECONDS);
+ }
+
+ private static boolean sleep(long ms) {
+ try {
+ Thread.sleep(ms);
+ return true;
+ } catch (InterruptedException ignored) {
+ // Ignore InterruptedException
+ return false;
+ }
+ }
+
+ public void cronSchedule() {
+ // 执行周期调度任务
+
+ if (!this.graph.started() || this.graph.closed()) {
+ return;
+ }
+
+ if (!this.closed.get()) {
Review Comment:
这个方法是不是在每次查询或者while执行前都判断一次比较好？
##########
hugegraph-server/hugegraph-core/src/main/java/org/apache/hugegraph/task/DistributedTaskScheduler.java:
##########
@@ -0,0 +1,666 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with this
+ * work for additional information regarding copyright ownership. The ASF
+ * licenses this file to You under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations
+ * under the License.
+ */
+
+package org.apache.hugegraph.task;
+
+import java.util.Collection;
+import java.util.Iterator;
+import java.util.concurrent.Callable;
+import java.util.concurrent.ConcurrentHashMap;
+import java.util.concurrent.ExecutorService;
+import java.util.concurrent.Executors;
+import java.util.concurrent.Future;
+import java.util.concurrent.ScheduledFuture;
+import java.util.concurrent.ScheduledThreadPoolExecutor;
+import java.util.concurrent.ThreadPoolExecutor;
+import java.util.concurrent.TimeUnit;
+import java.util.concurrent.TimeoutException;
+import java.util.concurrent.atomic.AtomicBoolean;
+import java.util.concurrent.locks.Lock;
+
+import org.apache.hugegraph.HugeException;
+import org.apache.hugegraph.HugeGraph;
+import org.apache.hugegraph.HugeGraphParams;
+import org.apache.hugegraph.backend.id.Id;
+import org.apache.hugegraph.backend.page.PageInfo;
+import org.apache.hugegraph.backend.query.QueryResults;
+import org.apache.hugegraph.concurrent.LockGroup;
+import org.apache.hugegraph.concurrent.LockManager;
+import org.apache.hugegraph.config.CoreOptions;
+import org.apache.hugegraph.exception.ConnectionException;
+import org.apache.hugegraph.exception.NotFoundException;
+import org.apache.hugegraph.meta.MetaManager;
+import org.apache.hugegraph.meta.lock.LockResult;
+import org.apache.hugegraph.structure.HugeVertex;
+import org.apache.hugegraph.util.E;
+import org.apache.hugegraph.util.LockUtil;
+import org.apache.hugegraph.util.Log;
+import org.apache.tinkerpop.gremlin.structure.Vertex;
+import org.slf4j.Logger;
+
+public class DistributedTaskScheduler extends TaskAndResultScheduler {
+ protected static final int SCHEDULE_PERIOD = 10;
+ private static final Logger LOG =
Log.logger(DistributedTaskScheduler.class);
+ private final ExecutorService taskDbExecutor;
+ private final ExecutorService schemaTaskExecutor;
+ private final ExecutorService olapTaskExecutor;
+ private final ExecutorService ephemeralTaskExecutor;
+ private final ExecutorService gremlinTaskExecutor;
+ private final ScheduledThreadPoolExecutor schedulerExecutor;
+ private final ScheduledFuture<?> cronFuture;
+
+ private final String lockGroupName;
+
+ /**
+ * the status of scheduler
+ */
+ private final AtomicBoolean closed = new AtomicBoolean(true);
+
+ private final ConcurrentHashMap<Id, HugeTask<?>> runningTasks = new
ConcurrentHashMap<>();
+
+ public DistributedTaskScheduler(HugeGraphParams graph,
+ ScheduledThreadPoolExecutor
schedulerExecutor,
+ ExecutorService taskDbExecutor,
+ ExecutorService schemaTaskExecutor,
+ ExecutorService olapTaskExecutor,
+ ExecutorService gremlinTaskExecutor,
+ ExecutorService ephemeralTaskExecutor,
+ ExecutorService serverInfoDbExecutor) {
+ super(graph, serverInfoDbExecutor);
+
+ this.taskDbExecutor = taskDbExecutor;
+ this.schemaTaskExecutor = schemaTaskExecutor;
+ this.olapTaskExecutor = olapTaskExecutor;
+ this.gremlinTaskExecutor = gremlinTaskExecutor;
+ this.ephemeralTaskExecutor = ephemeralTaskExecutor;
+
+ this.schedulerExecutor = schedulerExecutor;
+
+ lockGroupName = String.format("%s_%s_distributed", graphSpace, graph);
+ LockManager.instance().create(lockGroupName);
+
+ this.closed.set(false);
+
+ this.cronFuture = this.schedulerExecutor.scheduleWithFixedDelay(
+ () -> {
+ // TODO: uncomment later - graph space
+ // LockUtil.lock(this.graph().spaceGraphName(),
LockUtil.GRAPH_LOCK);
+ LockUtil.lock("", LockUtil.GRAPH_LOCK);
+ try {
+ // TODO: 使用超级管理员权限，查询任务
+ // TaskManager.useAdmin();
+ this.cronSchedule();
+ } catch (Throwable t) {
+ LOG.info("cronScheduler exception ", t);
+ } finally {
+ // TODO: uncomment later - graph space
+ LockUtil.unlock("", LockUtil.GRAPH_LOCK);
+ // LockUtil.unlock(this.graph().spaceGraphName(),
LockUtil.GRAPH_LOCK);
+ }
+ },
+ 10L, SCHEDULE_PERIOD,
+ TimeUnit.SECONDS);
+ }
+
+ private static boolean sleep(long ms) {
+ try {
+ Thread.sleep(ms);
+ return true;
+ } catch (InterruptedException ignored) {
+ // Ignore InterruptedException
+ return false;
+ }
+ }
+
+ public void cronSchedule() {
+ // 执行周期调度任务
+
+ if (!this.graph.started() || this.graph.closed()) {
+ return;
+ }
+
+ if (!this.closed.get()) {
Review Comment:
这个方法是不是在每次查询或者while执行前都判断一次比较好？
##########
hugegraph-server/hugegraph-api/src/main/java/org/apache/hugegraph/api/job/TaskAPI.java:
##########
@@ -136,11 +136,12 @@ public Map<String, Object> get(@Context GraphManager
manager,
@RedirectFilter.RedirectMasterRole
Review Comment:
看 DistributedTaskScheduler
实现，我理解就是所有的节点都会处理任务，通过分布式锁来保证任务只被一个节点处理，原来的方式任务只能被 master 提交，由 master
分配给其他节点处理，所以现在这个逻辑应该不需要了，对吧，硬刺这里RedirectFilter这里的拦截器实现可以加下开关，使用
DistributedTaskScheduler 的时候不生效
##########
hugegraph-server/hugegraph-core/src/main/java/org/apache/hugegraph/task/DistributedTaskScheduler.java:
##########
@@ -0,0 +1,666 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with this
+ * work for additional information regarding copyright ownership. The ASF
+ * licenses this file to You under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations
+ * under the License.
+ */
+
+package org.apache.hugegraph.task;
+
+import java.util.Collection;
+import java.util.Iterator;
+import java.util.concurrent.Callable;
+import java.util.concurrent.ConcurrentHashMap;
+import java.util.concurrent.ExecutorService;
+import java.util.concurrent.Executors;
+import java.util.concurrent.Future;
+import java.util.concurrent.ScheduledFuture;
+import java.util.concurrent.ScheduledThreadPoolExecutor;
+import java.util.concurrent.ThreadPoolExecutor;
+import java.util.concurrent.TimeUnit;
+import java.util.concurrent.TimeoutException;
+import java.util.concurrent.atomic.AtomicBoolean;
+import java.util.concurrent.locks.Lock;
+
+import org.apache.hugegraph.HugeException;
+import org.apache.hugegraph.HugeGraph;
+import org.apache.hugegraph.HugeGraphParams;
+import org.apache.hugegraph.backend.id.Id;
+import org.apache.hugegraph.backend.page.PageInfo;
+import org.apache.hugegraph.backend.query.QueryResults;
+import org.apache.hugegraph.concurrent.LockGroup;
+import org.apache.hugegraph.concurrent.LockManager;
+import org.apache.hugegraph.config.CoreOptions;
+import org.apache.hugegraph.exception.ConnectionException;
+import org.apache.hugegraph.exception.NotFoundException;
+import org.apache.hugegraph.meta.MetaManager;
+import org.apache.hugegraph.meta.lock.LockResult;
+import org.apache.hugegraph.structure.HugeVertex;
+import org.apache.hugegraph.util.E;
+import org.apache.hugegraph.util.LockUtil;
+import org.apache.hugegraph.util.Log;
+import org.apache.tinkerpop.gremlin.structure.Vertex;
+import org.slf4j.Logger;
+
+public class DistributedTaskScheduler extends TaskAndResultScheduler {
+ protected static final int SCHEDULE_PERIOD = 10;
+ private static final Logger LOG =
Log.logger(DistributedTaskScheduler.class);
+ private final ExecutorService taskDbExecutor;
+ private final ExecutorService schemaTaskExecutor;
+ private final ExecutorService olapTaskExecutor;
+ private final ExecutorService ephemeralTaskExecutor;
+ private final ExecutorService gremlinTaskExecutor;
+ private final ScheduledThreadPoolExecutor schedulerExecutor;
+ private final ScheduledFuture<?> cronFuture;
+
+ private final String lockGroupName;
+
+ /**
+ * the status of scheduler
+ */
+ private final AtomicBoolean closed = new AtomicBoolean(true);
+
+ private final ConcurrentHashMap<Id, HugeTask<?>> runningTasks = new
ConcurrentHashMap<>();
+
+ public DistributedTaskScheduler(HugeGraphParams graph,
+ ScheduledThreadPoolExecutor
schedulerExecutor,
+ ExecutorService taskDbExecutor,
+ ExecutorService schemaTaskExecutor,
+ ExecutorService olapTaskExecutor,
+ ExecutorService gremlinTaskExecutor,
+ ExecutorService ephemeralTaskExecutor,
+ ExecutorService serverInfoDbExecutor) {
+ super(graph, serverInfoDbExecutor);
+
+ this.taskDbExecutor = taskDbExecutor;
+ this.schemaTaskExecutor = schemaTaskExecutor;
+ this.olapTaskExecutor = olapTaskExecutor;
+ this.gremlinTaskExecutor = gremlinTaskExecutor;
+ this.ephemeralTaskExecutor = ephemeralTaskExecutor;
+
+ this.schedulerExecutor = schedulerExecutor;
+
+ lockGroupName = String.format("%s_%s_distributed", graphSpace, graph);
+ LockManager.instance().create(lockGroupName);
+
+ this.closed.set(false);
+
+ this.cronFuture = this.schedulerExecutor.scheduleWithFixedDelay(
+ () -> {
+ // TODO: uncomment later - graph space
+ // LockUtil.lock(this.graph().spaceGraphName(),
LockUtil.GRAPH_LOCK);
+ LockUtil.lock("", LockUtil.GRAPH_LOCK);
+ try {
+ // TODO: 使用超级管理员权限，查询任务
+ // TaskManager.useAdmin();
+ this.cronSchedule();
+ } catch (Throwable t) {
+ LOG.info("cronScheduler exception ", t);
+ } finally {
+ // TODO: uncomment later - graph space
+ LockUtil.unlock("", LockUtil.GRAPH_LOCK);
+ // LockUtil.unlock(this.graph().spaceGraphName(),
LockUtil.GRAPH_LOCK);
+ }
+ },
+ 10L, SCHEDULE_PERIOD,
+ TimeUnit.SECONDS);
+ }
+
+ private static boolean sleep(long ms) {
+ try {
+ Thread.sleep(ms);
+ return true;
+ } catch (InterruptedException ignored) {
+ // Ignore InterruptedException
+ return false;
+ }
+ }
+
+ public void cronSchedule() {
Review Comment:
这里个人有个想法可以讨论下哈：这段代码看着应该是每隔一段时间，查询所有的任务，然后过滤出没有被锁的任务，最后驱动这些没有被锁的任务的状态，我理解没错的话，那么其实所有节点都会查询一次所有的任务，再上层会做filter，这里看着似乎可以将这个逻辑下层到store，store
层每次返回给server的节点的批量数据都需要先锁定，然后在返回给server, 如果已经被锁定了，就在store 层过滤掉
##########
hugegraph-server/hugegraph-core/src/main/java/org/apache/hugegraph/task/DistributedTaskScheduler.java:
##########
@@ -0,0 +1,666 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with this
+ * work for additional information regarding copyright ownership. The ASF
+ * licenses this file to You under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations
+ * under the License.
+ */
+
+package org.apache.hugegraph.task;
+
+import java.util.Collection;
+import java.util.Iterator;
+import java.util.concurrent.Callable;
+import java.util.concurrent.ConcurrentHashMap;
+import java.util.concurrent.ExecutorService;
+import java.util.concurrent.Executors;
+import java.util.concurrent.Future;
+import java.util.concurrent.ScheduledFuture;
+import java.util.concurrent.ScheduledThreadPoolExecutor;
+import java.util.concurrent.ThreadPoolExecutor;
+import java.util.concurrent.TimeUnit;
+import java.util.concurrent.TimeoutException;
+import java.util.concurrent.atomic.AtomicBoolean;
+import java.util.concurrent.locks.Lock;
+
+import org.apache.hugegraph.HugeException;
+import org.apache.hugegraph.HugeGraph;
+import org.apache.hugegraph.HugeGraphParams;
+import org.apache.hugegraph.backend.id.Id;
+import org.apache.hugegraph.backend.page.PageInfo;
+import org.apache.hugegraph.backend.query.QueryResults;
+import org.apache.hugegraph.concurrent.LockGroup;
+import org.apache.hugegraph.concurrent.LockManager;
+import org.apache.hugegraph.config.CoreOptions;
+import org.apache.hugegraph.exception.ConnectionException;
+import org.apache.hugegraph.exception.NotFoundException;
+import org.apache.hugegraph.meta.MetaManager;
+import org.apache.hugegraph.meta.lock.LockResult;
+import org.apache.hugegraph.structure.HugeVertex;
+import org.apache.hugegraph.util.E;
+import org.apache.hugegraph.util.LockUtil;
+import org.apache.hugegraph.util.Log;
+import org.apache.tinkerpop.gremlin.structure.Vertex;
+import org.slf4j.Logger;
+
+public class DistributedTaskScheduler extends TaskAndResultScheduler {
+ protected static final int SCHEDULE_PERIOD = 10;
+ private static final Logger LOG =
Log.logger(DistributedTaskScheduler.class);
+ private final ExecutorService taskDbExecutor;
+ private final ExecutorService schemaTaskExecutor;
+ private final ExecutorService olapTaskExecutor;
+ private final ExecutorService ephemeralTaskExecutor;
+ private final ExecutorService gremlinTaskExecutor;
+ private final ScheduledThreadPoolExecutor schedulerExecutor;
+ private final ScheduledFuture<?> cronFuture;
+
+ private final String lockGroupName;
+
+ /**
+ * the status of scheduler
+ */
+ private final AtomicBoolean closed = new AtomicBoolean(true);
+
+ private final ConcurrentHashMap<Id, HugeTask<?>> runningTasks = new
ConcurrentHashMap<>();
+
+ public DistributedTaskScheduler(HugeGraphParams graph,
+ ScheduledThreadPoolExecutor
schedulerExecutor,
+ ExecutorService taskDbExecutor,
+ ExecutorService schemaTaskExecutor,
+ ExecutorService olapTaskExecutor,
+ ExecutorService gremlinTaskExecutor,
+ ExecutorService ephemeralTaskExecutor,
+ ExecutorService serverInfoDbExecutor) {
+ super(graph, serverInfoDbExecutor);
+
+ this.taskDbExecutor = taskDbExecutor;
+ this.schemaTaskExecutor = schemaTaskExecutor;
+ this.olapTaskExecutor = olapTaskExecutor;
+ this.gremlinTaskExecutor = gremlinTaskExecutor;
+ this.ephemeralTaskExecutor = ephemeralTaskExecutor;
+
+ this.schedulerExecutor = schedulerExecutor;
+
+ lockGroupName = String.format("%s_%s_distributed", graphSpace, graph);
+ LockManager.instance().create(lockGroupName);
+
+ this.closed.set(false);
+
+ this.cronFuture = this.schedulerExecutor.scheduleWithFixedDelay(
+ () -> {
+ // TODO: uncomment later - graph space
+ // LockUtil.lock(this.graph().spaceGraphName(),
LockUtil.GRAPH_LOCK);
+ LockUtil.lock("", LockUtil.GRAPH_LOCK);
+ try {
+ // TODO: 使用超级管理员权限，查询任务
+ // TaskManager.useAdmin();
+ this.cronSchedule();
+ } catch (Throwable t) {
+ LOG.info("cronScheduler exception ", t);
+ } finally {
+ // TODO: uncomment later - graph space
+ LockUtil.unlock("", LockUtil.GRAPH_LOCK);
+ // LockUtil.unlock(this.graph().spaceGraphName(),
LockUtil.GRAPH_LOCK);
+ }
+ },
+ 10L, SCHEDULE_PERIOD,
+ TimeUnit.SECONDS);
+ }
+
+ private static boolean sleep(long ms) {
+ try {
+ Thread.sleep(ms);
+ return true;
+ } catch (InterruptedException ignored) {
+ // Ignore InterruptedException
+ return false;
+ }
+ }
+
+ public void cronSchedule() {
Review Comment:
这里个人有个想法可以讨论下哈：这段代码看着应该是每隔一段时间，查询所有的任务，然后过滤出没有被锁的任务，最后驱动这些没有被锁的任务的状态，我理解没错的话，那么其实所有节点都会查询一次所有的任务，再上层会做filter，这里看着似乎可以将这个逻辑下层到store，store
层每次返回给server的节点的批量数据都需要先锁定，然后在返回给server, 如果已经被锁定了，就在store 层过滤掉
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