HIVE-27055: hive-exec typos part 3

ql/src/java/org/apache/hadoop/hive/llap/LlapCacheAwareFs.java

@@ -310,7 +310,7 @@ public DiskRangeList createCacheChunk(
                     arrayOffset + offsetFromReadStart + extraDiskDataOffset,
                     smallSize, bb, cacheRanges, largeBufCount, chunkFrom + extraOffsetInChunk);
                 extraDiskDataOffset += smallSize;
-                extraOffsetInChunk += smallSize; // Not strictly necessary, noone will look at it.
+                extraOffsetInChunk += smallSize; // Not strictly necessary, no one will look at it.
                 if (newCacheData == null) {
                   newCacheData = smallBuffer;
                 } else {

ql/src/java/org/apache/hadoop/hive/ql/HiveQueryLifeTimeHook.java

@@ -87,11 +87,11 @@ private void checkAndRollbackCTAS(QueryLifeTimeHookContext ctx) {
         if (table != null) {
           LOG.info("Performing cleanup as part of rollback: {}", table.getFullTableName().toString());
           try {
-            CompactionRequest rqst = new CompactionRequest(table.getDbName(), table.getTableName(), CompactionType.MAJOR);
-            rqst.setRunas(TxnUtils.findUserToRunAs(tblPath.toString(), table.getTTable(), conf));
-            rqst.putToProperties(META_TABLE_LOCATION, tblPath.toString());
-            rqst.putToProperties(IF_PURGE, Boolean.toString(true));
-            boolean success = Hive.get(conf).getMSC().submitForCleanup(rqst, writeId,
+            CompactionRequest request = new CompactionRequest(table.getDbName(), table.getTableName(), CompactionType.MAJOR);
+            request.setRunas(TxnUtils.findUserToRunAs(tblPath.toString(), table.getTTable(), conf));
+            request.putToProperties(META_TABLE_LOCATION, tblPath.toString());
+            request.putToProperties(IF_PURGE, Boolean.toString(true));
+            boolean success = Hive.get(conf).getMSC().submitForCleanup(request, writeId,
                     pCtx.getQueryState().getTxnManager().getCurrentTxnId());
             if (success) {
               LOG.info("The cleanup request has been submitted");

ql/src/java/org/apache/hadoop/hive/ql/IDriver.java

@@ -31,7 +31,7 @@
 import org.apache.hadoop.hive.ql.processors.CommandProcessorResponse;
 
 /**
- * Hive query executer driver.
+ * Hive query executor driver.
  */
 @InterfaceAudience.Private
 @InterfaceStability.Unstable

ql/src/java/org/apache/hadoop/hive/ql/QueryDisplay.java

@@ -47,7 +47,7 @@
 public class QueryDisplay {
 
   /**
-   * Preffered objectmapper for this class.
+   * Preferred objectMapper for this class.
    *
    * It must be used to have things work in shaded environment (and its also more performant).
    */
@@ -307,55 +307,55 @@ public synchronized void setExplainPlan(String explainPlan) {
 
   /**
    * @param phase phase of query
-   * @return map of HMS Client method-calls and duration in miliseconds, during given phase.
+   * @return map of HMS Client method-calls and duration in milliseconds, during given phase.
    */
   public synchronized Map<String, Long> getHmsTimings(Phase phase) {
     return hmsTimingMap.get(phase);
   }
 
   /**
    * @param phase phase of query
-   * @param hmsTimings map of HMS Client method-calls and duration in miliseconds, during given phase.
+   * @param hmsTimings map of HMS Client method-calls and duration in milliseconds, during given phase.
    */
   public synchronized void setHmsTimings(Phase phase, Map<String, Long> hmsTimings) {
     hmsTimingMap.put(phase, hmsTimings);
   }
 
   /**
    * @param phase phase of query
-   * @return map of PerfLogger call-trace name and start time in miliseconds, during given phase.
+   * @return map of PerfLogger call-trace name and start time in milliseconds, during given phase.
    */
   public synchronized Map<String, Long> getPerfLogStarts(Phase phase) {
     return perfLogStartMap.get(phase);
   }
 
   /**
    * @param phase phase of query
-   * @param perfLogStarts map of PerfLogger call-trace name and start time in miliseconds, during given phase.
+   * @param perfLogStarts map of PerfLogger call-trace name and start time in milliseconds, during given phase.
    */
   public synchronized void setPerfLogStarts(Phase phase, Map<String, Long> perfLogStarts) {
     perfLogStartMap.put(phase, perfLogStarts);
   }
 
   /**
    * @param phase phase of query
-   * @return map of PerfLogger call-trace name and end time in miliseconds, during given phase.
+   * @return map of PerfLogger call-trace name and end time in milliseconds, during given phase.
    */
   public synchronized Map<String, Long> getPerfLogEnds(Phase phase) {
     return perfLogEndMap.get(phase);
   }
 
   /**
    * @param phase phase of query
-   * @param perfLogEnds map of PerfLogger call-trace name and end time in miliseconds, during given phase.
+   * @param perfLogEnds map of PerfLogger call-trace name and end time in milliseconds, during given phase.
    */
   public synchronized void setPerfLogEnds(Phase phase, Map<String, Long> perfLogEnds) {
     perfLogEndMap.put(phase, perfLogEnds);
   }
 
   /**
    * @param phase phase of query
-   * @return map of PerfLogger call-trace name and duration in miliseconds, during given phase.
+   * @return map of PerfLogger call-trace name and duration in milliseconds, during given phase.
    */
   public synchronized Map<String, Long> getPerfLogTimes(Phase phase) {
     Map<String, Long> times = new HashMap<>();

ql/src/java/org/apache/hadoop/hive/ql/ddl/table/info/desc/DescTableOperation.java

@@ -44,7 +44,6 @@
 import org.apache.hadoop.hive.ql.ddl.ShowUtils;
 import org.apache.hadoop.hive.ql.ddl.table.info.desc.formatter.DescTableFormatter;
 import org.apache.hadoop.hive.ql.exec.ColumnInfo;
-import org.apache.hadoop.hive.ql.lockmgr.LockException;
 import org.apache.hadoop.hive.ql.ErrorMsg;
 import org.apache.hadoop.hive.ql.ddl.DDLOperation;
 import org.apache.hadoop.hive.ql.metadata.Hive;

ql/src/java/org/apache/hadoop/hive/ql/exec/BoundaryCache.java

@@ -97,15 +97,15 @@ public void clear() {
   }
 
   /**
-   * Returns entry corresponding to highest row index.
+   * Returns entry corresponding to the highest row index.
    * @return max entry.
    */
   public Map.Entry<Integer, Object> getMaxEntry() {
     return floorEntry(Integer.MAX_VALUE);
   }
 
   /**
-   * Removes eldest entry from the boundary cache.
+   * Removes the eldest entry from the boundary cache.
    */
   public void evictOne() {
     if (queue.isEmpty()) {

ql/src/java/org/apache/hadoop/hive/ql/exec/FileSinkOperator.java

@@ -1136,8 +1136,8 @@ public void process(Object row, int tag) throws HiveException {
       }
 
       rowOutWriters = fpaths.outWriters;
-      // check if all record writers implement statistics. if atleast one RW
-      // doesn't implement stats interface we will fallback to conventional way
+      // check if all record writers implement statistics. if at least one RW
+      // doesn't implement stats interface we will fall back to conventional way
       // of gathering stats
       isCollectRWStats = areAllTrue(statsFromRecordWriter);
       if (conf.isGatherStats() && !isCollectRWStats) {
@@ -1637,7 +1637,7 @@ public void checkOutputSpecs(FileSystem ignored, JobConf job) throws IOException
       }
     }
     if (conf.getTableInfo().isNonNative()) {
-      //check the ouput specs only if it is a storage handler (native tables's outputformats does
+      //check the output specs only if it is a storage handler (native tables's outputformats does
       //not set the job's output properties correctly)
       try {
         hiveOutputFormat.checkOutputSpecs(ignored, job);

ql/src/java/org/apache/hadoop/hive/ql/exec/GroupByOperator.java

@@ -1129,7 +1129,7 @@ public static boolean shouldEmitSummaryRow(GroupByDesc desc) {
     int groupingSetPosition = desc.getGroupingSetPosition();
     List<Long> listGroupingSets = desc.getListGroupingSets();
     // groupingSets are known at map/reducer side; but have to do real processing
-    // hence grouppingSetsPresent is true only at map side
+    // hence groupingSetsPresent is true only at map side
     if (groupingSetPosition >= 0 && listGroupingSets != null) {
       Long emptyGrouping = (1L << groupingSetPosition) - 1;
       if (listGroupingSets.contains(emptyGrouping)) {

ql/src/java/org/apache/hadoop/hive/ql/exec/SkewJoinHandler.java

@@ -18,7 +18,6 @@
 
 package org.apache.hadoop.hive.ql.exec;
 
-import java.io.FileNotFoundException;
 import java.io.IOException;
 import java.util.ArrayList;
 import java.util.Arrays;
@@ -181,7 +180,7 @@ void endGroup() throws IOException, HiveException {
       RowContainer<ArrayList<Object>> bigKey = (RowContainer)joinOp.storage[currBigKeyTag];
       Path outputPath = getOperatorOutputPath(specPath);
       FileSystem destFs = outputPath.getFileSystem(hconf);
-      bigKey.copyToDFSDirecory(destFs, outputPath);
+      bigKey.copyToDFSDirectory(destFs, outputPath);
 
       for (int i = 0; i < numAliases; i++) {
         if (((byte) i) == currBigKeyTag) {
@@ -191,7 +190,7 @@ void endGroup() throws IOException, HiveException {
         if (values != null) {
           specPath = conf.getSmallKeysDirMap().get((byte) currBigKeyTag).get(
               (byte) i);
-          values.copyToDFSDirecory(destFs, getOperatorOutputPath(specPath));
+          values.copyToDFSDirectory(destFs, getOperatorOutputPath(specPath));
         }
       }
     }

ql/src/java/org/apache/hadoop/hive/ql/exec/persistence/HybridHashTableContainer.java

@@ -468,7 +468,7 @@ private long refreshMemoryUsed() {
       if (hp.hashMap != null) {
         memUsed += hp.hashMap.memorySize();
       } else {
-        // also include the still-in-memory sidefile, before it has been truely spilled
+        // also include the still-in-memory sidefile, before it has been truly spilled
         if (hp.sidefileKVContainer != null) {
           memUsed += hp.sidefileKVContainer.numRowsInReadBuffer() * tableRowSize;
         }
@@ -627,7 +627,7 @@ private int biggestPartition() {
       }
     }
 
-    // It can happen that although there're some partitions in memory, but their sizes are all 0.
+    // It can happen that although there are some partitions in memory, but their sizes are all 0.
     // In that case we just pick one and spill.
     if (res == -1) {
       for (int i = 0; i < hashPartitions.length; i++) {

ql/src/java/org/apache/hadoop/hive/ql/exec/persistence/RowContainer.java

@@ -295,7 +295,7 @@ private void removeKeys(ROW ret) {
   }
 
   private final ArrayList<Object> row = new ArrayList<Object>(2);
-  
+
   private void spillBlock(ROW[] block, int length) throws HiveException {
     try {
       if (tmpFile == null) {
@@ -405,7 +405,7 @@ protected boolean nextBlock(int readIntoOffset) throws HiveException {
     }
   }
 
-  public void copyToDFSDirecory(FileSystem destFs, Path destPath) throws IOException, HiveException {
+  public void copyToDFSDirectory(FileSystem destFs, Path destPath) throws IOException, HiveException {
     if (addCursor > 0) {
       this.spillBlock(this.currentWriteBlock, addCursor);
     }

ql/src/java/org/apache/hadoop/hive/ql/exec/repl/ReplDumpTask.java

@@ -798,7 +798,7 @@ && shouldBootstrapDumpAcidTable(table.getTableName())) {
     return !ReplUtils.tableIncludedInReplScope(work.oldReplScope, table.getTableName());
   }
 
-  private boolean isTableSatifiesConfig(Table table) {
+  private boolean isTableSatisfiesConfig(Table table) {
     if (table == null) {
       return false;
     }
@@ -1095,7 +1095,7 @@ private Long incrementalDump(Path dumpRoot, DumpMetaData dmd, Path cmRoot, Hive
                 dumpTable(exportService, matchedDbName, tableName, validTxnList, dbRootMetadata, dbRootData, bootDumpBeginReplId,
                         hiveDb, tableTuple, managedTblList, dataCopyAtLoad);
               }
-              if (tableList != null && isTableSatifiesConfig(table)) {
+              if (tableList != null && isTableSatisfiesConfig(table)) {
                 tableList.add(tableName);
               }
             } catch (InvalidTableException te) {
@@ -1418,7 +1418,7 @@ Long bootStrapDump(Path dumpRoot, DumpMetaData dmd, Path cmRoot, Hive hiveDb)
               LOG.debug(te.getMessage());
             }
             dumpConstraintMetadata(dbName, tblName, dbRoot, hiveDb, table != null ? table.getTTable().getId() : -1);
-            if (tableList != null && isTableSatifiesConfig(table)) {
+            if (tableList != null && isTableSatisfiesConfig(table)) {
               tableList.add(tblName);
             }
           }
@@ -1650,7 +1650,7 @@ String getValidTxnListForReplDump(Hive hiveDb, long waitUntilTime) throws HiveEx
     // phase won't be able to replicate those txns. So, the logic is to wait for the given amount
     // of time to see if all open txns < current txn is getting aborted/committed. If not, then
     // we forcefully abort those txns just like AcidHouseKeeperService.
-    //Exclude readonly and repl created tranasactions
+    //Exclude readonly and repl created transactions
     HiveTxnManager hiveTxnManager = getTxnMgr();
     ValidTxnList validTxnList = hiveTxnManager.getValidTxns(excludedTxns);
     while (System.currentTimeMillis() < waitUntilTime) {

ql/src/java/org/apache/hadoop/hive/ql/exec/repl/ReplDumpWork.java

@@ -146,8 +146,8 @@ void setEventFrom(long eventId) {
   void overrideLastEventToDump(Hive fromDb, long bootstrapLastId, long failoverEventId) throws Exception {
     // If we are bootstrapping ACID tables, we need to dump all the events upto the event id at
     // the beginning of the bootstrap dump and also not dump any event after that. So we override
-    // both, the last event as well as any user specified limit on the number of events. See
-    // bootstrampDump() for more details.
+    // both, the last event and any user specified limit on the number of events. See
+    // bootstrapDump() for more details.
     if (failoverEventId > 0) {
       LOG.info("eventTo : {} marked as failover eventId.", eventTo);
       eventTo = failoverEventId;

ql/src/java/org/apache/hadoop/hive/ql/exec/repl/ReplExternalTables.java

@@ -84,7 +84,7 @@ void dataLocationDump(Table table, FileList fileList, HashMap<String, Boolean> s
     }
     if (!TableType.EXTERNAL_TABLE.equals(table.getTableType())) {
       throw new IllegalArgumentException(
-              "only External tables can be writen via this writer, provided table is " + table
+              "only External tables can be written via this writer, provided table is " + table
                       .getTableType());
     }
     Path fullyQualifiedDataLocation = PathBuilder.fullyQualifiedHDFSUri(table.getDataLocation(), FileSystem.get(hiveConf));

ql/src/java/org/apache/hadoop/hive/ql/exec/repl/ReplLoadTask.java

@@ -31,7 +31,6 @@
 import org.apache.hadoop.hive.ql.exec.repl.util.SnapshotUtils;
 import org.apache.hadoop.hive.ql.lockmgr.HiveTxnManager;
 import org.apache.hadoop.hive.ql.parse.repl.load.log.IncrementalLoadLogger;
-import org.apache.hadoop.hive.ql.parse.repl.metric.event.Metadata;
 import org.apache.hadoop.hive.ql.parse.repl.metric.event.Status;
 import org.apache.thrift.TException;
 import com.google.common.collect.Collections2;
@@ -164,7 +163,7 @@ public int execute() {
         addAtlasLoadTask();
       }
       if (conf.getBoolVar(HiveConf.ConfVars.REPL_RANGER_HANDLE_DENY_POLICY_TARGET)) {
-        initiateRangerDenytask();
+        initiateRangerDenyTask();
       }
       if (shouldLoadAuthorizationMetadata()) {
         initiateAuthorizationLoadTask();
@@ -203,7 +202,7 @@ private boolean shouldLoadAuthorizationMetadata() {
     return conf.getBoolVar(HiveConf.ConfVars.REPL_INCLUDE_AUTHORIZATION_METADATA);
   }
 
-  private void initiateRangerDenytask() throws SemanticException {
+  private void initiateRangerDenyTask() throws SemanticException {
     if (RANGER_AUTHORIZER.equalsIgnoreCase(conf.getVar(HiveConf.ConfVars.REPL_AUTHORIZATION_PROVIDER_SERVICE))) {
       LOG.info("Adding Ranger Deny Policy Task for {} ", work.dbNameToLoadIn);
       RangerDenyWork rangerDenyWork = new RangerDenyWork(new Path(work.getDumpDirectory()), work.getSourceDbName(),
@@ -669,7 +668,7 @@ public void run() throws SemanticException {
 
               db.setParameters(params);
               hiveDb.alterDatabase(work.getTargetDatabase(), db);
-              LOG.debug("Database {} poperties after removal {}", work.getTargetDatabase(), params);
+              LOG.debug("Database {} properties after removal {}", work.getTargetDatabase(), params);
             } catch (HiveException e) {
               throw new SemanticException(e);
             }
@@ -847,7 +846,7 @@ private int executeIncrementalLoad(long loadStartTime) throws Exception {
 
       Hive db = getHive();
       for (String table : work.tablesToDrop) {
-        LOG.info("Dropping table {} for optimised bootstarap", work.dbNameToLoadIn + "." + table);
+        LOG.info("Dropping table {} for optimised bootstrap", work.dbNameToLoadIn + "." + table);
         db.dropTable(work.dbNameToLoadIn + "." + table, true);
       }
       Database sourceDb = getSourceDbMetadata();  //This sourceDb was the actual target prior to failover.

ql/src/java/org/apache/hadoop/hive/ql/exec/repl/ReplLoadWork.java

@@ -218,7 +218,7 @@ private ObjectName initializeMetricsMBeans(HiveConf hiveConf, String dbNameToLoa
     return null;
   }
 
-  // Unregisters MBeans by forming the Metrics same as how the Hadoop code forms during MBean registeration.
+  // Unregisters MBeans by forming the Metrics same as how the Hadoop code forms during MBean registration.
   private void unRegisterMBeanIfRegistered(String serviceName, String nameName,
       Map<String, String> additionalParameters) {
 
@@ -284,7 +284,7 @@ public Task<?> getRootTask() {
 
   @Override
   public String getDumpDirectory() {return dumpDirectory;}
-  
+
   public void setRootTask(Task<?> rootTask) {
     this.rootTask = rootTask;
   }

ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorGroupKeyHelper.java

@@ -40,7 +40,7 @@ public VectorGroupKeyHelper(int keyCount) {
 
   void init(VectorExpression[] keyExpressions) throws HiveException {
 
-    // NOTE: To support pruning the grouping set id dummy key by VectorGroupbyOpeator MERGE_PARTIAL
+    // NOTE: To support pruning the grouping set id dummy key by VectorGroupByOperator MERGE_PARTIAL
     // case, we use the keyCount passed to the constructor and not keyExpressions.length.
 
     // Inspect the output type of each key expression.  And, remember the output columns.
@@ -62,7 +62,7 @@ void init(VectorExpression[] keyExpressions) throws HiveException {
   /*
    * This helper method copies the group keys from one vectorized row batch to another,
    * but does not increment the outputBatch.size (i.e. the next output position).
-   * 
+   *
    * It was designed for VectorGroupByOperator's sorted reduce group batch processing mode
    * to copy the group keys at startGroup.
    */
@@ -75,7 +75,7 @@ public void copyGroupKey(VectorizedRowBatch inputBatch, VectorizedRowBatch outpu
       LongColumnVector inputColumnVector = (LongColumnVector) inputBatch.cols[inputColumnNum];
       LongColumnVector outputColumnVector = (LongColumnVector) outputBatch.cols[outputColumnNum];
 
-      // This vectorized code pattern says: 
+      // This vectorized code pattern says:
       //    If the input batch has no nulls at all (noNulls is true) OR
       //    the input row is NOT NULL, copy the value.
       //

ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/ListIndexColColumn.java

@@ -210,7 +210,7 @@ public void evaluate(VectorizedRowBatch batch) throws HiveException {
     // ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
     /*
-     * Same LIST for entire batch. Still need to validate the LIST upper limit against varing
+     * Same LIST for entire batch. Still need to validate the LIST upper limit against varying
      * INDEX.
      *
      * (Repeated INDEX case handled above).

ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/StringGroupConcatColCol.java

@@ -402,7 +402,7 @@ private static void propagateNullsCombine(boolean selectedInUse, int n, int[] se
    * @param sel selected value position array
    * @param n number of qualifying rows
    * @param inV input vector
-   * @param outV ouput vector
+   * @param outV output vector
    */
   private static void propagateNulls(boolean selectedInUse, int n, int[] sel, ColumnVector inV,
       ColumnVector outV) {