HBASE-22285 A normalizer which merges small size regions with adjacen…

hbase-common/src/main/resources/hbase-default.xml

@@ -620,6 +620,12 @@ possible configurations would overwhelm and obscure the important.
     <value>3</value>
     <description>configure the minimum number of regions</description>
   </property>
+  <property>
+    <name>hbase.normalizer.min.region.merge.age</name>
+    <value>3</value>
+    <description>configure the minimum age in days for region before it is considered for merge while
+      normalizing</description>
+  </property>
   <property>
     <name>hbase.regions.slop</name>
     <value>0.001</value>

hbase-server/src/main/java/org/apache/hadoop/hbase/master/normalizer/AbstractRegionNormalizer.java

@@ -0,0 +1,213 @@
+/**
+ *
+ * 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.hadoop.hbase.master.normalizer;
+
+import java.io.IOException;
+import java.util.ArrayList;
+import java.util.List;
+import org.apache.hadoop.hbase.RegionMetrics;
+import org.apache.hadoop.hbase.ServerName;
+import org.apache.hadoop.hbase.Size;
+import org.apache.hadoop.hbase.TableName;
+import org.apache.hadoop.hbase.client.MasterSwitchType;
+import org.apache.hadoop.hbase.client.RegionInfo;
+import org.apache.hadoop.hbase.client.TableDescriptor;
+import org.apache.hadoop.hbase.master.MasterRpcServices;
+import org.apache.hadoop.hbase.master.MasterServices;
+import org.apache.yetus.audience.InterfaceAudience;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import org.apache.hbase.thirdparty.com.google.protobuf.ServiceException;
+
+import org.apache.hadoop.hbase.shaded.protobuf.RequestConverter;
+
+@InterfaceAudience.Private
+public abstract class AbstractRegionNormalizer implements RegionNormalizer {
+  private static final Logger LOG = LoggerFactory.getLogger(AbstractRegionNormalizer.class);
+  protected MasterServices masterServices;
+  protected MasterRpcServices masterRpcServices;
+
+  /**
+   * Set the master service.
+   * @param masterServices inject instance of MasterServices
+   */
+  @Override
+  public void setMasterServices(MasterServices masterServices) {
+    this.masterServices = masterServices;
+  }
+
+  @Override
+  public void setMasterRpcServices(MasterRpcServices masterRpcServices) {
+    this.masterRpcServices = masterRpcServices;
+  }
+
+  /**
+   * @param hri regioninfo
+   * @return size of region in MB and if region is not found than -1
+   */
+  protected long getRegionSize(RegionInfo hri) {
+    ServerName sn =
+        masterServices.getAssignmentManager().getRegionStates().getRegionServerOfRegion(hri);
+    RegionMetrics regionLoad =
+        masterServices.getServerManager().getLoad(sn).getRegionMetrics().get(hri.getRegionName());
+    if (regionLoad == null) {
+      LOG.debug("{} was not found in RegionsLoad", hri.getRegionNameAsString());
+      return -1;
+    }
+    return (long) regionLoad.getStoreFileSize().get(Size.Unit.MEGABYTE);
+  }
+
+  protected boolean isMergeEnabled() {
+    boolean mergeEnabled = true;
+    try {
+      mergeEnabled = masterRpcServices
+          .isSplitOrMergeEnabled(null,
+            RequestConverter.buildIsSplitOrMergeEnabledRequest(MasterSwitchType.MERGE))
+          .getEnabled();
+    } catch (ServiceException e) {
+      LOG.warn("Unable to determine whether merge is enabled", e);
+    }
+    return mergeEnabled;
+  }
+
+  protected boolean isSplitEnabled() {
+    boolean splitEnabled = true;
+    try {
+      splitEnabled = masterRpcServices
+          .isSplitOrMergeEnabled(null,
+            RequestConverter.buildIsSplitOrMergeEnabledRequest(MasterSwitchType.SPLIT))
+          .getEnabled();
+    } catch (ServiceException se) {
+      LOG.warn("Unable to determine whether split is enabled", se);
+    }
+    return splitEnabled;
+  }
+
+  /**
+   * @param tableRegions regions of table to normalize
+   * @return average region size depending on
+   * @see org.apache.hadoop.hbase.client.TableDescriptor#getNormalizerTargetRegionCount()
+   * Also make sure tableRegions contains regions of the same table
+   */
+  protected double getAverageRegionSize(List<RegionInfo> tableRegions) {
+    long totalSizeMb = 0;
+    int acutalRegionCnt = 0;
+    for (RegionInfo hri : tableRegions) {
+      long regionSize = getRegionSize(hri);
+      // don't consider regions that are in bytes for averaging the size.
+      if (regionSize > 0) {
+        acutalRegionCnt++;
+        totalSizeMb += regionSize;
+      }
+    }
+    TableName table = tableRegions.get(0).getTable();
+    int targetRegionCount = -1;
+    long targetRegionSize = -1;
+    try {
+      TableDescriptor tableDescriptor = masterServices.getTableDescriptors().get(table);
+      if (tableDescriptor != null) {
+        targetRegionCount = tableDescriptor.getNormalizerTargetRegionCount();
+        targetRegionSize = tableDescriptor.getNormalizerTargetRegionSize();
+        LOG.debug("Table {}:  target region count is {}, target region size is {}", table,
+          targetRegionCount, targetRegionSize);
+      }
+    } catch (IOException e) {
+      LOG.warn(
+        "cannot get the target number and target size of table {}, they will be default value -1.",
+        table, e);
+    }
+
+    double avgRegionSize;
+    if (targetRegionSize > 0) {
+      avgRegionSize = targetRegionSize;
+    } else if (targetRegionCount > 0) {
+      avgRegionSize = totalSizeMb / (double) targetRegionCount;
+    } else {
+      avgRegionSize = acutalRegionCnt == 0 ? 0 : totalSizeMb / (double) acutalRegionCnt;
+    }
+
+    LOG.debug("Table {}, total aggregated regions size: {} and average region size {}", table,
+      totalSizeMb, avgRegionSize);
+    return avgRegionSize;
+  }
+
+  /**
+   * Computes the merge plans that should be executed for this table to converge average region
+   * towards target average or target region count
+   * @param table table to normalize
+   * @return list of merge normalization plans
+   */
+  protected List<NormalizationPlan> getMergeNormalizationPlan(TableName table) {
+    List<NormalizationPlan> plans = new ArrayList<>();
+    List<RegionInfo> tableRegions =
+        masterServices.getAssignmentManager().getRegionStates().getRegionsOfTable(table);
+    double avgRegionSize = getAverageRegionSize(tableRegions);
+    LOG.debug("Table {}, average region size: {}.\n Computing normalization plan for table: {}, "
+        + "number of regions: {}",
+      table, avgRegionSize, table, tableRegions.size());
+
+    int candidateIdx = 0;
+    while (candidateIdx < tableRegions.size() - 1) {
+      RegionInfo hri = tableRegions.get(candidateIdx);
+      long regionSize = getRegionSize(hri);
+      RegionInfo hri2 = tableRegions.get(candidateIdx + 1);
+      long regionSize2 = getRegionSize(hri2);
+      if (regionSize >= 0 && regionSize2 >= 0 && regionSize + regionSize2 < avgRegionSize) {
+        // atleast one of the two regions should be older than MIN_REGION_DURATION days
+        plans.add(new MergeNormalizationPlan(hri, hri2));
+        candidateIdx++;
+      } else {
+        LOG.debug("Skipping region {} of table {} with size {}", hri.getRegionNameAsString(), table,
+          regionSize);
+      }
+      candidateIdx++;
+    }
+    return plans;
+  }
+
+  /**
+   * Computes the split plans that should be executed for this table to converge average region size
+   * towards target average or target region count
+   * @param table table to normalize
+   * @return list of split normalization plans
+   */
+  protected List<NormalizationPlan> getSplitNormalizationPlan(TableName table) {
+    List<NormalizationPlan> plans = new ArrayList<>();
+    List<RegionInfo> tableRegions =
+        masterServices.getAssignmentManager().getRegionStates().getRegionsOfTable(table);
+    double avgRegionSize = getAverageRegionSize(tableRegions);
+    LOG.debug("Table {}, average region size: {}", table, avgRegionSize);
+
+    int candidateIdx = 0;
+    while (candidateIdx < tableRegions.size()) {
+      RegionInfo hri = tableRegions.get(candidateIdx);
+      long regionSize = getRegionSize(hri);
+      // if the region is > 2 times larger than average, we split it, split
+      // is more high priority normalization action than merge.
+      if (regionSize > 2 * avgRegionSize) {
+        LOG.info("Table {}, large region {} has size {}, more than twice avg size, splitting",
+          table, hri.getRegionNameAsString(), regionSize);
+        plans.add(new SplitNormalizationPlan(hri, null));
+      }
+      candidateIdx++;
+    }
+    return plans;
+  }
+}

hbase-server/src/main/java/org/apache/hadoop/hbase/master/normalizer/MergeNormalizer.java

@@ -0,0 +1,143 @@
+/**
+ *
+ * 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.hadoop.hbase.master.normalizer;
+
+import java.sql.Timestamp;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.concurrent.TimeUnit;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.hbase.HBaseConfiguration;
+import org.apache.hadoop.hbase.HBaseIOException;
+import org.apache.hadoop.hbase.TableName;
+import org.apache.hadoop.hbase.client.RegionInfo;
+import org.apache.yetus.audience.InterfaceAudience;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+/**
+ * Implementation of MergeNormalizer Logic in use:
+ * <ol>
+ * <li>get all regions of a given table
+ * <li>get avg size S of each region (by total size of store files reported in RegionLoad)
+ * <li>two regions R1 and its neighbour R2 are merged, if R1 + R2 &lt; S, and all such regions are
+ * returned to be merged
+ * <li>Otherwise, no action is performed
+ * </ol>
+ * <p>
+ * Considering the split policy takes care of splitting region we also want a way to merge when
+ * regions are too small. It is little different than what
+ * {@link org.apache.hadoop.hbase.master.normalizer.SimpleRegionNormalizer} does. Instead of doing
+ * splits and merge both to achieve average region size in cluster for a table. We only merge
+ * regions(older than defined age) and rely on Split policy for region splits. The goal of this
+ * normalizer is to merge small regions to make size of regions close to average size (which is
+ * either average size or depends on either target region size or count in that order). Consider
+ * region with size 1,2,3,4,10,10,10,5,4,3. If minimum merge age is set to 0 days this algorithm
+ * will find the average size as 7.2 assuming we haven't provided target region count or size. Now
+ * we will find all those adjacent region which if merged doesn't exceed the average size. so we
+ * will merge 1-2, 3-4, 4,3 in our first run. To get best results from this normalizer theoretically
+ * we should set target region size between 0.5 to 0.75 of configured maximum file size. If we set
+ * min merge age as 3 we create plan as above and see if we have a plan which has both regions as
+ * new(age less than 3) we discard such plans and we consider the regions even if one of the region
+ * is old enough to be merged.
+ * </p>
+ */
+
+@InterfaceAudience.Private
+public class MergeNormalizer extends AbstractRegionNormalizer {
+  private static final Logger LOG = LoggerFactory.getLogger(MergeNormalizer.class);
+
+  private int minRegionCount;
+  private int minRegionAge;
+  private static long[] skippedCount = new long[NormalizationPlan.PlanType.values().length];
+
+  public MergeNormalizer() {
+    Configuration conf = HBaseConfiguration.create();
+    minRegionCount = conf.getInt("hbase.normalizer.min.region.count", 3);
+    minRegionAge = conf.getInt("hbase.normalizer.min.region.merge.age", 3);
+  }
+
+  @Override
+  public void planSkipped(RegionInfo hri, NormalizationPlan.PlanType type) {
+    skippedCount[type.ordinal()]++;
+  }
+
+  @Override
+  public long getSkippedCount(NormalizationPlan.PlanType type) {
+    return skippedCount[type.ordinal()];
+  }
+
+  @Override
+  public List<NormalizationPlan> computePlanForTable(TableName table) throws HBaseIOException {
+    List<NormalizationPlan> plans = new ArrayList<>();
+    if (!shouldNormalize(table)) {
+      return null;
+    }
+    // at least one of the two regions should be older than MIN_REGION_AGE days
+    List<NormalizationPlan> normalizationPlans = getMergeNormalizationPlan(table);
+    for (NormalizationPlan plan : normalizationPlans) {
+      if (plan instanceof MergeNormalizationPlan) {
+        RegionInfo hri = ((MergeNormalizationPlan) plan).getFirstRegion();
+        RegionInfo hri2 = ((MergeNormalizationPlan) plan).getSecondRegion();
+        if (isOldEnoughToMerge(hri) || isOldEnoughToMerge(hri2)) {
+          plans.add(plan);
+        } else {
+          LOG.debug("Skipping region {} and {} as they are both new", hri.getEncodedName(),
+            hri2.getEncodedName());
+        }
+      }
+    }
+    if (plans.isEmpty()) {
+      LOG.debug("No normalization needed, regions look good for table: {}", table);
+      return null;
+    }
+    return plans;
+  }
+
+  private boolean isOldEnoughToMerge(RegionInfo hri) {
+    Timestamp currentTime = new Timestamp(System.currentTimeMillis());
+    Timestamp hriTime = new Timestamp(hri.getRegionId());
+    boolean isOld =
+      new Timestamp(hriTime.getTime() + TimeUnit.DAYS.toMillis(minRegionAge))
+        .before(currentTime);
+    return isOld;
+  }
+
+  private boolean shouldNormalize(TableName table) {
+    boolean normalize = false;
+    if (table == null || table.isSystemTable()) {
+      LOG.debug("Normalization of system table {} isn't allowed", table);
+    } else if (!isMergeEnabled()) {
+      LOG.debug("Merge disabled for table: {}", table);
+    } else {
+      List<RegionInfo> tableRegions =
+        masterServices.getAssignmentManager().getRegionStates().getRegionsOfTable(table);
+      if (tableRegions == null || tableRegions.size() < minRegionCount) {
+        int nrRegions = tableRegions == null ? 0 : tableRegions.size();
+        LOG.debug(
+          "Table {} has {} regions, required min number of regions for normalizer to run is {} , "
+            + "not running normalizer",
+          table, nrRegions, minRegionCount);
+      } else {
+        normalize = true;
+      }
+    }
+    return normalize;
+  }
+}