Пример #1
0
 private HQLContextInterface createHQLContext(
     Set<CandidateFact> facts,
     Map<Dimension, CandidateDim> dimsToQuery,
     Map<CandidateFact, Set<Dimension>> factDimMap)
     throws LensException {
   if (facts == null || facts.size() == 0) {
     return new DimOnlyHQLContext(dimsToQuery, this, this);
   } else if (facts.size() == 1 && facts.iterator().next().getStorageTables().size() > 1) {
     // create single fact with multiple storage context
     return new SingleFactMultiStorageHQLContext(facts.iterator().next(), dimsToQuery, this, this);
   } else if (facts.size() == 1 && facts.iterator().next().getStorageTables().size() == 1) {
     // create single fact context
     return new SingleFactSingleStorageHQLContext(
         facts.iterator().next(), dimsToQuery, this, this);
   } else {
     return new MultiFactHQLContext(facts, dimsToQuery, factDimMap, this);
   }
 }
Пример #2
0
 String getQBFromString(CandidateFact fact, Map<Dimension, CandidateDim> dimsToQuery)
     throws LensException {
   String fromString;
   if (getJoinAST() == null) {
     if (cube != null) {
       if (dimensions.size() > 0) {
         throw new LensException(LensCubeErrorCode.NO_JOIN_CONDITION_AVAILABLE.getLensErrorInfo());
       }
       fromString = fact.getStorageString(getAliasForTableName(cube.getName()));
     } else {
       if (dimensions.size() != 1) {
         throw new LensException(LensCubeErrorCode.NO_JOIN_CONDITION_AVAILABLE.getLensErrorInfo());
       }
       Dimension dim = dimensions.iterator().next();
       fromString = dimsToQuery.get(dim).getStorageString(getAliasForTableName(dim.getName()));
     }
   } else {
     StringBuilder builder = new StringBuilder();
     getQLString(qb.getQbJoinTree(), builder, fact, dimsToQuery);
     fromString = builder.toString();
   }
   return fromString;
 }
Пример #3
0
  public String toHQL() throws LensException {
    Set<CandidateFact> cfacts = pickCandidateFactToQuery();
    Map<Dimension, CandidateDim> dimsToQuery = pickCandidateDimsToQuery(dimensions);
    log.info("facts:{}, dimsToQuery: {}", cfacts, dimsToQuery);
    if (autoJoinCtx != null) {
      // prune join paths for picked fact and dimensions
      autoJoinCtx.pruneAllPaths(cube, cfacts, dimsToQuery);
    }

    Map<CandidateFact, Set<Dimension>> factDimMap = new HashMap<>();
    if (cfacts != null) {
      if (cfacts.size() > 1) {
        // copy ASTs for each fact
        for (CandidateFact cfact : cfacts) {
          cfact.copyASTs(this);
          factDimMap.put(cfact, new HashSet<>(dimsToQuery.keySet()));
        }
      }
      for (CandidateFact fact : cfacts) {
        addRangeClauses(fact);
      }
    }

    // pick dimension tables required during expression expansion for the picked fact and dimensions
    Set<Dimension> exprDimensions = new HashSet<Dimension>();
    if (cfacts != null) {
      for (CandidateFact cfact : cfacts) {
        Set<Dimension> factExprDimTables =
            exprCtx.rewriteExprCtx(cfact, dimsToQuery, cfacts.size() > 1 ? cfact : this);
        exprDimensions.addAll(factExprDimTables);
        if (cfacts.size() > 1) {
          factDimMap.get(cfact).addAll(factExprDimTables);
        }
      }
      if (cfacts.size() > 1) {
        havingAST = MultiFactHQLContext.pushDownHaving(havingAST, this, cfacts);
      }
    } else {
      // dim only query
      exprDimensions.addAll(exprCtx.rewriteExprCtx(null, dimsToQuery, this));
    }
    dimsToQuery.putAll(pickCandidateDimsToQuery(exprDimensions));
    log.info("facts:{}, dimsToQuery: {}", cfacts, dimsToQuery);

    // pick denorm tables for the picked fact and dimensions
    Set<Dimension> denormTables = new HashSet<Dimension>();
    if (cfacts != null) {
      for (CandidateFact cfact : cfacts) {
        Set<Dimension> factDenormTables =
            deNormCtx.rewriteDenormctx(cfact, dimsToQuery, cfacts.size() > 1);
        denormTables.addAll(factDenormTables);
        if (cfacts.size() > 1) {
          factDimMap.get(cfact).addAll(factDenormTables);
        }
      }
    } else {
      denormTables.addAll(deNormCtx.rewriteDenormctx(null, dimsToQuery, false));
    }
    dimsToQuery.putAll(pickCandidateDimsToQuery(denormTables));
    log.info("facts:{}, dimsToQuery: {}", cfacts, dimsToQuery);
    // Prune join paths once denorm tables are picked
    if (autoJoinCtx != null) {
      // prune join paths for picked fact and dimensions
      autoJoinCtx.pruneAllPaths(cube, cfacts, dimsToQuery);
    }
    if (autoJoinCtx != null) {
      // add optional dims from Join resolver
      Set<Dimension> joiningTables = new HashSet<Dimension>();
      if (cfacts != null && cfacts.size() > 1) {
        for (CandidateFact cfact : cfacts) {
          Set<Dimension> factJoiningTables =
              autoJoinCtx.pickOptionalTables(cfact, factDimMap.get(cfact), this);
          factDimMap.get(cfact).addAll(factJoiningTables);
          joiningTables.addAll(factJoiningTables);
        }
      } else {
        joiningTables.addAll(autoJoinCtx.pickOptionalTables(null, dimsToQuery.keySet(), this));
      }
      dimsToQuery.putAll(pickCandidateDimsToQuery(joiningTables));
    }
    log.info("Picked Fact:{} dimsToQuery: {}", cfacts, dimsToQuery);
    pickedDimTables = dimsToQuery.values();
    pickedFacts = cfacts;
    if (cfacts != null) {
      if (cfacts.size() > 1) {
        // Update ASTs for each fact
        for (CandidateFact cfact : cfacts) {
          cfact.updateASTs(this);
        }
        whereAST =
            MultiFactHQLContext.convertHavingToWhere(
                havingAST, this, cfacts, new DefaultAliasDecider());
      }
    }
    hqlContext = createHQLContext(cfacts, dimsToQuery, factDimMap);
    return hqlContext.toHQL();
  }