HBASE-15073 Finer grained control over normalization actions for RegionNormalizer
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@ -44,6 +44,8 @@ import org.apache.hadoop.fs.Path;
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import org.apache.hadoop.hbase.client.Durability;
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import org.apache.hadoop.hbase.client.RegionReplicaUtil;
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import org.apache.hadoop.hbase.exceptions.DeserializationException;
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import org.apache.hadoop.hbase.normalizer.NormalizationPlan;
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import org.apache.hadoop.hbase.normalizer.NormalizationPlan.PlanType;
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import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
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import org.apache.hadoop.hbase.protobuf.ProtobufUtil;
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import org.apache.hadoop.hbase.protobuf.generated.HBaseProtos.BytesBytesPair;
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@ -201,13 +203,14 @@ public class HTableDescriptor implements WritableComparable<HTableDescriptor> {
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/**
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* <em>INTERNAL</em> Used by shell/rest interface to access this metadata
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* attribute which denotes if the table should be treated by region normalizer.
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* attribute which denotes the allowed types of action (split/merge) when the table is treated
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* by region normalizer.
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*
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* @see #isNormalizationEnabled()
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* @see #getDesiredNormalizationTypes()
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*/
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public static final String NORMALIZATION_ENABLED = "NORMALIZATION_ENABLED";
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private static final ImmutableBytesWritable NORMALIZATION_ENABLED_KEY =
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new ImmutableBytesWritable(Bytes.toBytes(NORMALIZATION_ENABLED));
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public static final String NORMALIZATION_MODE = "NORMALIZATION_MODE";
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private static final ImmutableBytesWritable NORMALIZATION_MODE_KEY =
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new ImmutableBytesWritable(Bytes.toBytes(NORMALIZATION_MODE));
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/** Default durability for HTD is USE_DEFAULT, which defaults to HBase-global default value */
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private static final Durability DEFAULT_DURABLITY = Durability.USE_DEFAULT;
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@ -235,11 +238,6 @@ public class HTableDescriptor implements WritableComparable<HTableDescriptor> {
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*/
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public static final boolean DEFAULT_COMPACTION_ENABLED = true;
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/**
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* Constant that denotes whether the table is normalized by default.
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*/
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public static final boolean DEFAULT_NORMALIZATION_ENABLED = false;
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/**
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* Constant that denotes the maximum default size of the memstore after which
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* the contents are flushed to the store files
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@ -264,7 +262,7 @@ public class HTableDescriptor implements WritableComparable<HTableDescriptor> {
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String.valueOf(DEFAULT_DEFERRED_LOG_FLUSH));
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DEFAULT_VALUES.put(DURABILITY, DEFAULT_DURABLITY.name()); //use the enum name
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DEFAULT_VALUES.put(REGION_REPLICATION, String.valueOf(DEFAULT_REGION_REPLICATION));
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DEFAULT_VALUES.put(NORMALIZATION_ENABLED, String.valueOf(DEFAULT_NORMALIZATION_ENABLED));
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DEFAULT_VALUES.put(NORMALIZATION_MODE, "");
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for (String s : DEFAULT_VALUES.keySet()) {
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RESERVED_KEYWORDS.add(new ImmutableBytesWritable(Bytes.toBytes(s)));
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}
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@ -657,22 +655,42 @@ public class HTableDescriptor implements WritableComparable<HTableDescriptor> {
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}
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/**
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* Check if normalization enable flag of the table is true. If flag is
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* false then no region normalizer won't attempt to normalize this table.
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* Check if normalization flag of the table. If flag is
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* empty then region normalizer won't attempt to normalize this table.
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*
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* @return true if region normalization is enabled for this table
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* @return List of PlanType if region normalization is enabled for this table
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* null means region normalization is disabled
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*/
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public boolean isNormalizationEnabled() {
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return isSomething(NORMALIZATION_ENABLED_KEY, DEFAULT_NORMALIZATION_ENABLED);
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public List<PlanType> getDesiredNormalizationTypes() {
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byte [] value = getValue(NORMALIZATION_MODE_KEY);
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if (value == null) {
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return null;
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}
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String strValue = Bytes.toString(value);
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if (strValue.isEmpty()) {
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return null;
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}
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List<NormalizationPlan.PlanType> types = new ArrayList<>();
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if (strValue.toUpperCase().contains("M")) {
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types.add(PlanType.MERGE);
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}
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if (strValue.toUpperCase().contains("S")) {
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types.add(PlanType.SPLIT);
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}
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return types;
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}
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/**
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* Setting the table normalization enable flag.
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* Setting the types of action for table normalization mode flag.
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*
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* @param isEnable True if enable normalization.
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* @param types String containing desired types of action:
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* "M" for region merge
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* "S" for region split
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* "MS" for region merge / split
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*/
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public HTableDescriptor setNormalizationEnabled(final boolean isEnable) {
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setValue(NORMALIZATION_ENABLED_KEY, isEnable ? TRUE : FALSE);
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public HTableDescriptor setNormalizationMode(final String types) {
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setValue(NORMALIZATION_MODE_KEY, types == null || types.isEmpty() ? null :
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new ImmutableBytesWritable(Bytes.toBytes(types.toUpperCase())));
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return this;
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}
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@ -16,7 +16,7 @@
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.hadoop.hbase.master.normalizer;
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package org.apache.hadoop.hbase.normalizer;
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import org.apache.hadoop.hbase.classification.InterfaceAudience;
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import org.apache.hadoop.hbase.client.Admin;
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@ -26,10 +26,20 @@ import org.apache.hadoop.hbase.client.Admin;
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*/
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@InterfaceAudience.Private
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public interface NormalizationPlan {
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enum PlanType {
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SPLIT,
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MERGE,
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NONE
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}
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/**
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* Executes normalization plan on cluster (does actual splitting/merging work).
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* @param admin instance of Admin
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*/
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void execute(Admin admin);
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/**
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* @return the type of this plan
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*/
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PlanType getType();
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}
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@ -116,6 +116,7 @@ import org.apache.hadoop.hbase.master.snapshot.SnapshotManager;
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import org.apache.hadoop.hbase.monitoring.MemoryBoundedLogMessageBuffer;
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import org.apache.hadoop.hbase.monitoring.MonitoredTask;
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import org.apache.hadoop.hbase.monitoring.TaskMonitor;
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import org.apache.hadoop.hbase.normalizer.NormalizationPlan.PlanType;
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import org.apache.hadoop.hbase.procedure.MasterProcedureManagerHost;
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import org.apache.hadoop.hbase.procedure.flush.MasterFlushTableProcedureManager;
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import org.apache.hadoop.hbase.procedure2.ProcedureExecutor;
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@ -1356,13 +1357,20 @@ public class HMaster extends HRegionServer implements MasterServices, Server {
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LOG.debug("Skipping normalizing " + table + " since its namespace has quota");
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continue;
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}
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if (table.isSystemTable() || (getTableDescriptors().get(table) != null &&
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!getTableDescriptors().get(table).isNormalizationEnabled())) {
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if (table.isSystemTable()) {
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LOG.debug("Skipping normalization for table: " + table + ", as it's system table");
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continue;
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}
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List<PlanType> types = null;
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if (getTableDescriptors().get(table) != null) {
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types = getTableDescriptors().get(table).getDesiredNormalizationTypes();
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if (types == null) {
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LOG.debug("Skipping normalization for table: " + table + ", as it's either system"
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+ " table or doesn't have auto normalization turned on");
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continue;
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}
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this.normalizer.computePlanForTable(table).execute(clusterConnection.getAdmin());
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}
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this.normalizer.computePlanForTable(table, types).execute(clusterConnection.getAdmin());
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}
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}
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// If Region did not generate any plans, it means the cluster is already balanced.
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@ -20,6 +20,7 @@ package org.apache.hadoop.hbase.master.normalizer;
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import org.apache.hadoop.hbase.classification.InterfaceAudience;
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import org.apache.hadoop.hbase.client.Admin;
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import org.apache.hadoop.hbase.normalizer.NormalizationPlan;
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/**
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* Plan which signifies that no normalization is required,
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@ -45,4 +46,9 @@ public final class EmptyNormalizationPlan implements NormalizationPlan {
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@Override
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public void execute(Admin admin) {
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}
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@Override
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public PlanType getType() {
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return PlanType.NONE;
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}
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}
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@ -23,6 +23,7 @@ import org.apache.commons.logging.LogFactory;
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import org.apache.hadoop.hbase.HRegionInfo;
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import org.apache.hadoop.hbase.classification.InterfaceAudience;
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import org.apache.hadoop.hbase.client.Admin;
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import org.apache.hadoop.hbase.normalizer.NormalizationPlan;
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import java.io.IOException;
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@ -41,6 +42,11 @@ public class MergeNormalizationPlan implements NormalizationPlan {
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this.secondRegion = secondRegion;
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}
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@Override
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public PlanType getType() {
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return PlanType.MERGE;
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}
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HRegionInfo getFirstRegion() {
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return firstRegion;
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}
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@ -18,10 +18,14 @@
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*/
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package org.apache.hadoop.hbase.master.normalizer;
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import java.util.List;
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import org.apache.hadoop.hbase.HBaseIOException;
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import org.apache.hadoop.hbase.TableName;
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import org.apache.hadoop.hbase.classification.InterfaceAudience;
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import org.apache.hadoop.hbase.master.MasterServices;
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import org.apache.hadoop.hbase.normalizer.NormalizationPlan;
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import org.apache.hadoop.hbase.normalizer.NormalizationPlan.PlanType;
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/**
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* Performs "normalization" of regions on the cluster, making sure that suboptimal
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@ -45,7 +49,9 @@ public interface RegionNormalizer {
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/**
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* Computes next optimal normalization plan.
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* @param table table to normalize
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* @param types desired types of NormalizationPlan
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* @return Next (perhaps most urgent) normalization action to perform
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*/
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NormalizationPlan computePlanForTable(TableName table) throws HBaseIOException;
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NormalizationPlan computePlanForTable(TableName table, List<PlanType> types)
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throws HBaseIOException;
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}
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@ -27,6 +27,8 @@ import org.apache.hadoop.hbase.ServerName;
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import org.apache.hadoop.hbase.TableName;
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import org.apache.hadoop.hbase.classification.InterfaceAudience;
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import org.apache.hadoop.hbase.master.MasterServices;
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import org.apache.hadoop.hbase.normalizer.NormalizationPlan;
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import org.apache.hadoop.hbase.normalizer.NormalizationPlan.PlanType;
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import org.apache.hadoop.hbase.util.Triple;
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import java.util.ArrayList;
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@ -90,10 +92,12 @@ public class SimpleRegionNormalizer implements RegionNormalizer {
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* Action may be either a split, or a merge, or no action.
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*
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* @param table table to normalize
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* @param types desired types of NormalizationPlan
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* @return normalization plan to execute
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*/
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@Override
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public NormalizationPlan computePlanForTable(TableName table) throws HBaseIOException {
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public NormalizationPlan computePlanForTable(TableName table, List<PlanType> types)
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throws HBaseIOException {
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if (table == null || table.isSystemTable()) {
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LOG.debug("Normalization of system table " + table + " isn't allowed");
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return EmptyNormalizationPlan.getInstance();
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@ -134,7 +138,7 @@ public class SimpleRegionNormalizer implements RegionNormalizer {
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// now; if the largest region is >2 times large than average, we split it, split
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// is more high priority normalization action than merge.
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if (largestRegion.getSecond() > 2 * avgRegionSize) {
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if (types.contains(PlanType.SPLIT) && largestRegion.getSecond() > 2 * avgRegionSize) {
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LOG.debug("Table " + table + ", largest region "
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+ largestRegion.getFirst().getRegionNameAsString() + " has size "
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+ largestRegion.getSecond() + ", more than 2 times than avg size, splitting");
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@ -155,7 +159,8 @@ public class SimpleRegionNormalizer implements RegionNormalizer {
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}
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Triple<HRegionInfo, Long, Integer> candidateRegion = regionsWithSize.get(candidateIdx);
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Triple<HRegionInfo, Long, Integer> candidateRegion2 = regionsWithSize.get(candidateIdx+1);
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if (candidateRegion.getSecond() + candidateRegion2.getSecond() < avgRegionSize) {
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if (types.contains(PlanType.MERGE) &&
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candidateRegion.getSecond() + candidateRegion2.getSecond() < avgRegionSize) {
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LOG.debug("Table " + table + ", smallest region size: " + candidateRegion.getSecond()
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+ " and its smallest neighbor size: " + candidateRegion2.getSecond()
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+ ", less than the avg size, merging them");
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@ -23,6 +23,7 @@ import org.apache.commons.logging.LogFactory;
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import org.apache.hadoop.hbase.HRegionInfo;
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import org.apache.hadoop.hbase.classification.InterfaceAudience;
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import org.apache.hadoop.hbase.client.Admin;
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import org.apache.hadoop.hbase.normalizer.NormalizationPlan;
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import java.io.IOException;
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import java.util.Arrays;
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@ -42,6 +43,11 @@ public class SplitNormalizationPlan implements NormalizationPlan {
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this.splitPoint = splitPoint;
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}
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@Override
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public PlanType getType() {
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return PlanType.SPLIT;
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}
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public HRegionInfo getRegionInfo() {
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return regionInfo;
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}
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@ -26,6 +26,8 @@ import org.apache.hadoop.hbase.RegionLoad;
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import org.apache.hadoop.hbase.ServerName;
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import org.apache.hadoop.hbase.TableName;
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import org.apache.hadoop.hbase.master.MasterServices;
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import org.apache.hadoop.hbase.normalizer.NormalizationPlan;
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import org.apache.hadoop.hbase.normalizer.NormalizationPlan.PlanType;
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import org.apache.hadoop.hbase.testclassification.SmallTests;
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import org.apache.hadoop.hbase.util.Bytes;
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import org.junit.BeforeClass;
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@ -52,6 +54,18 @@ public class TestSimpleRegionNormalizer {
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private static final Log LOG = LogFactory.getLog(TestSimpleRegionNormalizer.class);
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private static RegionNormalizer normalizer;
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private static List<PlanType> bothTypes;
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static {
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bothTypes = new ArrayList<>();
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bothTypes.add(PlanType.SPLIT);
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bothTypes.add(PlanType.MERGE);
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}
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private static List<PlanType> splitType;
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static {
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splitType = new ArrayList<>();
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splitType.add(PlanType.SPLIT);
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}
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// mocks
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private static MasterServices masterServices;
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@ -68,7 +82,7 @@ public class TestSimpleRegionNormalizer {
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Map<byte[], Integer> regionSizes = new HashMap<>();
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setupMocksForNormalizer(regionSizes, hris);
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NormalizationPlan plan = normalizer.computePlanForTable(testTable);
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NormalizationPlan plan = normalizer.computePlanForTable(testTable, bothTypes);
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assertTrue(plan instanceof EmptyNormalizationPlan);
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}
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@ -87,7 +101,7 @@ public class TestSimpleRegionNormalizer {
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regionSizes.put(hri2.getRegionName(), 15);
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setupMocksForNormalizer(regionSizes, hris);
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NormalizationPlan plan = normalizer.computePlanForTable(testTable);
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NormalizationPlan plan = normalizer.computePlanForTable(testTable, bothTypes);
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assertTrue((plan instanceof EmptyNormalizationPlan));
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}
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hris.add(hri4);
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regionSizes.put(hri4.getRegionName(), 10);
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setupMocksForNormalizer(regionSizes, hris);
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NormalizationPlan plan = normalizer.computePlanForTable(testTable);
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NormalizationPlan plan = normalizer.computePlanForTable(testTable, bothTypes);
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assertTrue(plan instanceof EmptyNormalizationPlan);
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}
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@Test
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public void testMergeOfSmallRegions() throws HBaseIOException {
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testMergeOfSmallRegions(true);
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testMergeOfSmallRegions(false);
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}
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public void testMergeOfSmallRegions(boolean mergeDesired) throws HBaseIOException {
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TableName testTable = TableName.valueOf("testMergeOfSmallRegions");
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List<HRegionInfo> hris = new ArrayList<>();
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Map<byte[], Integer> regionSizes = new HashMap<>();
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regionSizes.put(hri5.getRegionName(), 16);
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setupMocksForNormalizer(regionSizes, hris);
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NormalizationPlan plan = normalizer.computePlanForTable(testTable);
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NormalizationPlan plan = normalizer.computePlanForTable(testTable,
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mergeDesired ? bothTypes : splitType);
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if (mergeDesired) {
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assertTrue(plan instanceof MergeNormalizationPlan);
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assertEquals(hri2, ((MergeNormalizationPlan) plan).getFirstRegion());
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assertEquals(hri3, ((MergeNormalizationPlan) plan).getSecondRegion());
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} else {
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assertTrue(plan instanceof EmptyNormalizationPlan);
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}
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}
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// Test for situation illustrated in HBASE-14867
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@ -185,7 +208,7 @@ public class TestSimpleRegionNormalizer {
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regionSizes.put(hri6.getRegionName(), 2700);
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setupMocksForNormalizer(regionSizes, hris);
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NormalizationPlan plan = normalizer.computePlanForTable(testTable);
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NormalizationPlan plan = normalizer.computePlanForTable(testTable, bothTypes);
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assertTrue(plan instanceof MergeNormalizationPlan);
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assertEquals(hri5, ((MergeNormalizationPlan) plan).getFirstRegion());
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@ -219,7 +242,7 @@ public class TestSimpleRegionNormalizer {
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regionSizes.put(hri5.getRegionName(), 5);
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setupMocksForNormalizer(regionSizes, hris);
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NormalizationPlan plan = normalizer.computePlanForTable(testTable);
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NormalizationPlan plan = normalizer.computePlanForTable(testTable, bothTypes);
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assertTrue(plan instanceof EmptyNormalizationPlan);
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}
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@ -247,7 +270,7 @@ public class TestSimpleRegionNormalizer {
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regionSizes.put(hri4.getRegionName(), 30);
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setupMocksForNormalizer(regionSizes, hris);
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NormalizationPlan plan = normalizer.computePlanForTable(testTable);
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NormalizationPlan plan = normalizer.computePlanForTable(testTable, bothTypes);
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assertTrue(plan instanceof SplitNormalizationPlan);
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assertEquals(hri4, ((SplitNormalizationPlan) plan).getRegionInfo());
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@ -113,7 +113,7 @@ public class TestSimpleRegionNormalizerOnCluster {
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}
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HTableDescriptor htd = admin.getTableDescriptor(TABLENAME);
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htd.setNormalizationEnabled(true);
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htd.setNormalizationMode("MS");
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admin.modifyTable(TABLENAME, htd);
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admin.flush(TABLENAME);
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@ -178,7 +178,7 @@ public class TestSimpleRegionNormalizerOnCluster {
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}
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HTableDescriptor htd = admin.getTableDescriptor(TABLENAME);
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htd.setNormalizationEnabled(true);
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htd.setNormalizationMode("MS");
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||||
admin.modifyTable(TABLENAME, htd);
|
||||
|
||||
admin.flush(TABLENAME);
|
||||
|
|
|
@ -246,7 +246,10 @@ module Hbase
|
|||
#----------------------------------------------------------------------------------------------
|
||||
# Parse arguments and update HTableDescriptor accordingly
|
||||
def parse_htd_args(htd, arg)
|
||||
htd.setNormalizationEnabled(JBoolean.valueOf(arg.delete(NORMALIZATION_ENABLED))) if arg[NORMALIZATION_ENABLED]
|
||||
if arg.has_key?(NORMALIZATION_MODE)
|
||||
mode = arg.delete(NORMALIZATION_MODE)
|
||||
htd.setValue(NORMALIZATION_MODE, mode)
|
||||
end
|
||||
end
|
||||
|
||||
#----------------------------------------------------------------------------------------------
|
||||
|
|
|
@ -22,7 +22,7 @@ module Shell
|
|||
class Normalize < Command
|
||||
def help
|
||||
return <<-EOF
|
||||
Trigger region normalizer for all tables which have NORMALIZATION_ENABLED flag set. Returns true
|
||||
Trigger region normalizer for all tables which have NORMALIZATION_MODE flag set. Returns true
|
||||
if normalizer ran successfully, false otherwise. Note that this command has no effect
|
||||
if region normalizer is disabled (make sure it's turned on using 'normalizer_switch' command).
|
||||
|
||||
|
|
|
@ -23,7 +23,8 @@ module Shell
|
|||
def help
|
||||
return <<-EOF
|
||||
Enable/Disable region normalizer. Returns previous normalizer state.
|
||||
When normalizer is enabled, it handles all tables with 'NORMALIZATION_ENABLED' => true.
|
||||
When normalizer is enabled, it handles all tables with 'NORMALIZATION_MODE' flag containing
|
||||
types of normalization actions.
|
||||
Examples:
|
||||
|
||||
hbase> normalizer_switch true
|
||||
|
|
Loading…
Reference in New Issue