Examples with Predicate com.huawei.boostkit.omnidata.model.Predicate used on opensource projects

Example 1 with Predicate

use of com.huawei.boostkit.omnidata.model.Predicate in project boostkit-bigdata by kunpengcompute.

the class OrcPageSourceFactory method createOrcPageSource.

public static OrcPageSource createOrcPageSource(HdfsEnvironment hdfsEnvironment, String sessionUser, Configuration configuration, Path path, long start, long length, long fileSize, List<HiveColumnHandle> columns, boolean useOrcColumnNames, boolean isFullAcid, TupleDomain<HiveColumnHandle> effectivePredicate, DateTimeZone legacyFileTimeZone, TypeManager typeManager, DataSize maxMergeDistance, DataSize maxBufferSize, DataSize streamBufferSize, DataSize tinyStripeThreshold, DataSize maxReadBlockSize, boolean lazyReadSmallRanges, boolean orcBloomFiltersEnabled, FileFormatDataSourceStats stats, Optional<DynamicFilterSupplier> dynamicFilters, Optional<DeleteDeltaLocations> deleteDeltaLocations, Optional<Long> startRowOffsetOfFile, Optional<List<IndexMetadata>> indexes, SplitMetadata splitMetadata, OrcCacheStore orcCacheStore, OrcCacheProperties orcCacheProperties, int domainCompactionThreshold, boolean pageMetadataEnabled, long dataSourceLastModifiedTime) {
    for (HiveColumnHandle column : columns) {
        checkArgument(column.getColumnType() == HiveColumnHandle.ColumnType.REGULAR || column.getHiveColumnIndex() == HiveColumnHandle.ROW_ID__COLUMN_INDEX, "column type must be regular: %s", column);
    }
    checkArgument(!effectivePredicate.isNone());
    OrcDataSource orcDataSource;
    try {
        // Always create a lazy Stream. HDFS stream opened only when required.
        FSDataInputStream inputStream = new FSDataInputStream(new LazyFSInputStream(() -> {
            FileSystem fileSystem = hdfsEnvironment.getFileSystem(sessionUser, path, configuration);
            return hdfsEnvironment.doAs(sessionUser, () -> fileSystem.open(path));
        }));
        orcDataSource = new HdfsOrcDataSource(new OrcDataSourceId(path.toString()), fileSize, maxMergeDistance, maxBufferSize, streamBufferSize, lazyReadSmallRanges, inputStream, stats, dataSourceLastModifiedTime);
    } catch (Exception e) {
        if (nullToEmpty(e.getMessage()).trim().equals("Filesystem closed") || e instanceof FileNotFoundException) {
            throw new PrestoException(HIVE_CANNOT_OPEN_SPLIT, e);
        }
        throw new PrestoException(HIVE_CANNOT_OPEN_SPLIT, splitError(e, path, start, length), e);
    }
    AggregatedMemoryContext systemMemoryUsage = newSimpleAggregatedMemoryContext();
    try {
        OrcDataSource readerLocalDataSource = OrcReader.wrapWithCacheIfTiny(orcDataSource, tinyStripeThreshold);
        OrcFileTail fileTail;
        if (orcCacheProperties.isFileTailCacheEnabled()) {
            try {
                OrcDataSourceIdWithTimeStamp orcDataSourceIdWithTimeStamp = new OrcDataSourceIdWithTimeStamp(readerLocalDataSource.getId(), readerLocalDataSource.getLastModifiedTime());
                fileTail = orcCacheStore.getFileTailCache().get(new OrcFileTailCacheKey(orcDataSourceIdWithTimeStamp), () -> OrcPageSourceFactory.createFileTail(orcDataSource));
            } catch (UncheckedExecutionException | ExecutionException executionException) {
                handleCacheLoadException(executionException);
                log.debug(executionException.getCause(), "Error while caching the Orc file tail. Falling back to default flow");
                fileTail = OrcPageSourceFactory.createFileTail(orcDataSource);
            }
        } else {
            fileTail = OrcPageSourceFactory.createFileTail(orcDataSource);
        }
        OrcReader reader = new OrcReader(readerLocalDataSource, fileTail, maxMergeDistance, tinyStripeThreshold, maxReadBlockSize);
        List<OrcColumn> fileColumns = reader.getRootColumn().getNestedColumns();
        List<OrcColumn> fileReadColumns = isFullAcid ? new ArrayList<>(columns.size() + 5) : new ArrayList<>(columns.size());
        List<Type> fileReadTypes = isFullAcid ? new ArrayList<>(columns.size() + 5) : new ArrayList<>(columns.size());
        ImmutableList<String> acidColumnNames = null;
        List<ColumnAdaptation> columnAdaptations = new ArrayList<>(columns.size());
        // Only Hive ACID files will begin with bucket_
        boolean fileNameContainsBucket = path.getName().contains("bucket");
        if (isFullAcid && fileNameContainsBucket) {
            // Skip the acid schema check in case of non-ACID files
            acidColumnNames = ImmutableList.<String>builder().add(ACID_COLUMN_ORIGINAL_TRANSACTION, ACID_COLUMN_BUCKET, ACID_COLUMN_ROW_ID, ACID_COLUMN_CURRENT_TRANSACTION, ACID_COLUMN_OPERATION).build();
            verifyAcidSchema(reader, path);
            Map<String, OrcColumn> acidColumnsByName = uniqueIndex(fileColumns, orcColumn -> orcColumn.getColumnName().toLowerCase(ENGLISH));
            if (AcidUtils.isDeleteDelta(path.getParent())) {
                // Avoid reading column data from delete_delta files.
                // Call will come here in case of Minor VACUUM where all delete_delta files are merge together.
                fileColumns = ImmutableList.of();
            } else {
                fileColumns = ensureColumnNameConsistency(acidColumnsByName.get(ACID_COLUMN_ROW_STRUCT).getNestedColumns(), columns);
            }
            fileReadColumns.add(acidColumnsByName.get(ACID_COLUMN_ORIGINAL_TRANSACTION.toLowerCase(ENGLISH)));
            fileReadTypes.add(BIGINT);
            fileReadColumns.add(acidColumnsByName.get(ACID_COLUMN_BUCKET.toLowerCase(ENGLISH)));
            fileReadTypes.add(INTEGER);
            fileReadColumns.add(acidColumnsByName.get(ACID_COLUMN_ROW_ID.toLowerCase(ENGLISH)));
            fileReadTypes.add(BIGINT);
            fileReadColumns.add(acidColumnsByName.get(ACID_COLUMN_CURRENT_TRANSACTION.toLowerCase(ENGLISH)));
            fileReadTypes.add(BIGINT);
            fileReadColumns.add(acidColumnsByName.get(ACID_COLUMN_OPERATION.toLowerCase(ENGLISH)));
            fileReadTypes.add(INTEGER);
        }
        Map<String, OrcColumn> fileColumnsByName = ImmutableMap.of();
        if (useOrcColumnNames || isFullAcid) {
            verifyFileHasColumnNames(fileColumns, path);
            // Convert column names read from ORC files to lower case to be consistent with those stored in Hive Metastore
            fileColumnsByName = uniqueIndex(fileColumns, orcColumn -> orcColumn.getColumnName().toLowerCase(ENGLISH));
        }
        TupleDomainOrcPredicateBuilder predicateBuilder = TupleDomainOrcPredicate.builder().setBloomFiltersEnabled(orcBloomFiltersEnabled);
        Map<HiveColumnHandle, Domain> effectivePredicateDomains = effectivePredicate.getDomains().orElseThrow(() -> new IllegalArgumentException("Effective predicate is none"));
        for (HiveColumnHandle column : columns) {
            OrcColumn orcColumn = null;
            if (useOrcColumnNames || isFullAcid) {
                orcColumn = fileColumnsByName.get(column.getName());
            } else if (column.getHiveColumnIndex() >= 0 && column.getHiveColumnIndex() < fileColumns.size()) {
                orcColumn = fileColumns.get(column.getHiveColumnIndex());
            }
            Type readType = typeManager.getType(column.getTypeSignature());
            if (orcColumn != null) {
                int sourceIndex = fileReadColumns.size();
                columnAdaptations.add(ColumnAdaptation.sourceColumn(sourceIndex));
                fileReadColumns.add(orcColumn);
                fileReadTypes.add(readType);
                Domain domain = effectivePredicateDomains.get(column);
                if (domain != null) {
                    predicateBuilder.addColumn(orcColumn.getColumnId(), domain);
                }
            } else if (isFullAcid && readType instanceof RowType && column.getName().equalsIgnoreCase(HiveColumnHandle.UPDATE_ROW_ID_COLUMN_NAME)) {
                HiveType hiveType = column.getHiveType();
                StructTypeInfo structTypeInfo = (StructTypeInfo) hiveType.getTypeInfo();
                ImmutableList.Builder<ColumnAdaptation> builder = new ImmutableList.Builder<>();
                ArrayList<String> fieldNames = structTypeInfo.getAllStructFieldNames();
                List<ColumnAdaptation> adaptations = fieldNames.stream().map(acidColumnNames::indexOf).map(c -> ColumnAdaptation.sourceColumn(c, false)).collect(Collectors.toList());
                columnAdaptations.add(ColumnAdaptation.structColumn(structTypeInfo, adaptations));
            } else {
                columnAdaptations.add(ColumnAdaptation.nullColumn(readType));
            }
        }
        Map<String, Domain> domains = effectivePredicate.getDomains().get().entrySet().stream().collect(toMap(e -> e.getKey().getName(), Map.Entry::getValue));
        OrcRecordReader recordReader = reader.createRecordReader(fileReadColumns, fileReadTypes, predicateBuilder.build(), start, length, legacyFileTimeZone, systemMemoryUsage, INITIAL_BATCH_SIZE, exception -> handleException(orcDataSource.getId(), exception), indexes, splitMetadata, domains, orcCacheStore, orcCacheProperties, pageMetadataEnabled);
        OrcDeletedRows deletedRows = new OrcDeletedRows(path.getName(), deleteDeltaLocations, new OrcDeleteDeltaPageSourceFactory(sessionUser, configuration, hdfsEnvironment, maxMergeDistance, maxBufferSize, streamBufferSize, maxReadBlockSize, tinyStripeThreshold, lazyReadSmallRanges, orcBloomFiltersEnabled, stats), sessionUser, configuration, hdfsEnvironment, startRowOffsetOfFile);
        boolean eagerload = false;
        if (indexes.isPresent()) {
            eagerload = indexes.get().stream().anyMatch(indexMetadata -> EAGER_LOAD_INDEX_ID.contains(indexMetadata.getIndex().getId()));
        }
        return new OrcPageSource(recordReader, columnAdaptations, orcDataSource, deletedRows, eagerload, systemMemoryUsage, stats);
    } catch (Exception e) {
        try {
            orcDataSource.close();
        } catch (IOException ignored) {
        }
        if (e instanceof PrestoException) {
            throw (PrestoException) e;
        }
        String message = splitError(e, path, start, length);
        if (e instanceof BlockMissingException) {
            throw new PrestoException(HIVE_MISSING_DATA, message, e);
        }
        throw new PrestoException(HIVE_CANNOT_OPEN_SPLIT, message, e);
    }
}

Example 2 with Predicate

use of com.huawei.boostkit.omnidata.model.Predicate in project boostkit-bigdata by kunpengcompute.

the class DataIoAdapter method getPageIterator.

/**
 * Contact with Omni-Data-Server
 * @param pageCandidate file split info
 * @param sparkOutPut data schema
 * @param partitionColumn partition column
 * @param filterOutPut filter schema
 * @param pushDownOperators push down expressions
 * @return WritableColumnVector data result info
 * @throws TaskExecutionException connect to omni-data-server failed exception
 * @notice 3rd parties api throws Exception, function has to catch basic Exception
 */
public Iterator<WritableColumnVector[]> getPageIterator(PageCandidate pageCandidate, Seq<Attribute> sparkOutPut, Seq<Attribute> partitionColumn, Seq<Attribute> filterOutPut, PushDownInfo pushDownOperators) throws TaskExecutionException, UnknownHostException {
    // initCandidates
    initCandidates(pageCandidate, filterOutPut);
    // create AggregationInfo
    // init agg candidates
    List<Attribute> partitionColumnBatch = JavaConverters.seqAsJavaList(partitionColumn);
    for (Attribute attribute : partitionColumnBatch) {
        partitionColumnName.add(attribute.name());
    }
    List<AggExeInfo> aggExecutionList = JavaConverters.seqAsJavaList(pushDownOperators.aggExecutions());
    if (aggExecutionList.size() == 0) {
        initColumnInfo(sparkOutPut);
    }
    DataSource dataSource = initDataSource(pageCandidate);
    RowExpression rowExpression = initFilter(pushDownOperators.filterExecutions());
    Optional<RowExpression> prestoFilter = rowExpression == null ? Optional.empty() : Optional.of(rowExpression);
    Optional<AggregationInfo> aggregations = initAggAndGroupInfo(aggExecutionList);
    // create limitLong
    OptionalLong limitLong = NdpUtils.convertLimitExeInfo(pushDownOperators.limitExecution());
    Predicate predicate = new Predicate(omnidataTypes, omnidataColumns, prestoFilter, omnidataProjections, ImmutableMap.of(), ImmutableMap.of(), aggregations, limitLong);
    TaskSource taskSource = new TaskSource(dataSource, predicate, 1048576);
    SparkDeserializer deserializer = initSparkDeserializer();
    WritableColumnVector[] page = null;
    int failedTimes = 0;
    String[] sdiHostArray = pageCandidate.getSdiHosts().split(",");
    int randomIndex = (int) (Math.random() * sdiHostArray.length);
    Iterator<String> sdiHosts = Arrays.stream(sdiHostArray).iterator();
    Set<String> sdiHostSet = new HashSet<>();
    sdiHostSet.add(sdiHostArray[randomIndex]);
    while (sdiHosts.hasNext()) {
        String sdiHost;
        if (failedTimes == 0) {
            sdiHost = sdiHostArray[randomIndex];
        } else {
            sdiHost = sdiHosts.next();
            if (sdiHostSet.contains(sdiHost)) {
                continue;
            }
        }
        String ipAddress = InetAddress.getByName(sdiHost).getHostAddress();
        Properties properties = new Properties();
        properties.put("omnidata.client.target.list", ipAddress);
        LOG.info("Push down node info: [hostname :{} ,ip :{}]", sdiHost, ipAddress);
        try {
            orcDataReader = new DataReaderImpl<SparkDeserializer>(properties, taskSource, deserializer);
            hasNextPage = true;
            page = (WritableColumnVector[]) orcDataReader.getNextPageBlocking();
            if (orcDataReader.isFinished()) {
                orcDataReader.close();
                hasNextPage = false;
            }
            break;
        } catch (OmniDataException omniDataException) {
            OmniErrorCode errorCode = omniDataException.getErrorCode();
            switch(errorCode) {
                case OMNIDATA_INSUFFICIENT_RESOURCES:
                    LOG.warn("OMNIDATA_INSUFFICIENT_RESOURCES: " + "OmniData-server's push down queue is full, " + "begin to find next OmniData-server");
                    break;
                case OMNIDATA_UNSUPPORTED_OPERATOR:
                    LOG.warn("OMNIDATA_UNSUPPORTED_OPERATOR: " + "OmniDataException: exist unsupported operator");
                    break;
                case OMNIDATA_GENERIC_ERROR:
                    LOG.warn("OMNIDATA_GENERIC_ERROR: Current OmniData-server unavailable, " + "begin to find next OmniData-server");
                    break;
                case OMNIDATA_NOT_FOUND:
                    LOG.warn("OMNIDATA_NOT_FOUND: Current OmniData-Server not found, " + "begin to find next OmniData-server");
                    break;
                case OMNIDATA_INVALID_ARGUMENT:
                    LOG.warn("OMNIDATA_INVALID_ARGUMENT: INVALID_ARGUMENT, " + "exist unsupported operator or dataType");
                    break;
                case OMNIDATA_IO_ERROR:
                    LOG.warn("OMNIDATA_IO_ERROR: Current OmniData-Server io exception, " + "begin to find next OmniData-server");
                    break;
                default:
                    LOG.warn("OmniDataException: OMNIDATA_ERROR.");
            }
            LOG.warn("Push down failed node info [hostname :{} ,ip :{}]", sdiHost, ipAddress);
            ++failedTimes;
        } catch (Exception e) {
            LOG.warn("Push down failed node info [hostname :{} ,ip :{}]", sdiHost, ipAddress, e);
            ++failedTimes;
        }
    }
    int retryTime = Math.min(TASK_FAILED_TIMES, sdiHostArray.length);
    if (failedTimes >= retryTime) {
        LOG.warn("No Omni-data-server to Connect, Task has tried {} times.", retryTime);
        throw new TaskExecutionException("No Omni-data-server to Connect");
    }
    List<WritableColumnVector[]> l = new ArrayList<>();
    l.add(page);
    return l.iterator();
}