Examples with HiveException org.apache.hadoop.hive.ql.metadata.HiveException used on opensource projects

Example 36 with HiveException

use of org.apache.hadoop.hive.ql.metadata.HiveException in project hive by apache.

the class PTFTranslator method translate.

private PTFExpressionDef translate(ShapeDetails inpShape, PartitionExpression pExpr) throws SemanticException {
    PTFExpressionDef expDef = null;
    try {
        expDef = buildExpressionDef(inpShape, pExpr.getExpression());
    } catch (HiveException he) {
        throw new SemanticException(he);
    }
    PTFTranslator.validateComparable(expDef.getOI(), String.format("Partition Expression %s is not a comparable expression", pExpr.getExpression().toStringTree()));
    return expDef;
}

Example 37 with HiveException

use of org.apache.hadoop.hive.ql.metadata.HiveException in project hive by apache.

the class DDLSemanticAnalyzer method preparePartitions.

private List<Partition> preparePartitions(org.apache.hadoop.hive.ql.metadata.Table baseTbl, HashMap<String, String> partSpec, org.apache.hadoop.hive.ql.metadata.Table indexTbl, Hive db, List<Partition> indexTblPartitions) throws HiveException, MetaException {
    List<Partition> baseTblPartitions = new ArrayList<Partition>();
    if (partSpec != null) {
        // if partspec is specified, then only producing index for that
        // partition
        Partition part = db.getPartition(baseTbl, partSpec, false);
        if (part == null) {
            throw new HiveException("Partition " + Warehouse.makePartName(partSpec, false) + " does not exist in table " + baseTbl.getTableName());
        }
        baseTblPartitions.add(part);
        Partition indexPart = db.getPartition(indexTbl, partSpec, false);
        if (indexPart == null) {
            indexPart = db.createPartition(indexTbl, partSpec);
        }
        indexTblPartitions.add(indexPart);
    } else if (baseTbl.isPartitioned()) {
        // if no partition is specified, create indexes for all partitions one
        // by one.
        baseTblPartitions = db.getPartitions(baseTbl);
        for (Partition basePart : baseTblPartitions) {
            HashMap<String, String> pSpec = basePart.getSpec();
            Partition indexPart = db.getPartition(indexTbl, pSpec, false);
            if (indexPart == null) {
                indexPart = db.createPartition(indexTbl, pSpec);
            }
            indexTblPartitions.add(indexPart);
        }
    }
    return baseTblPartitions;
}

Example 38 with HiveException

use of org.apache.hadoop.hive.ql.metadata.HiveException in project hive by apache.

the class PTFDeserializer method initialize.

protected void initialize(ShapeDetails shp, StructObjectInspector OI) throws HiveException {
    String serdeClassName = shp.getSerdeClassName();
    Properties serDeProps = new Properties();
    Map<String, String> serdePropsMap = new LinkedHashMap<String, String>();
    addOIPropertiestoSerDePropsMap(OI, serdePropsMap);
    for (String serdeName : serdePropsMap.keySet()) {
        serDeProps.setProperty(serdeName, serdePropsMap.get(serdeName));
    }
    try {
        AbstractSerDe serDe = ReflectionUtils.newInstance(hConf.getClassByName(serdeClassName).asSubclass(AbstractSerDe.class), hConf);
        SerDeUtils.initializeSerDe(serDe, hConf, serDeProps, null);
        shp.setSerde(serDe);
        StructObjectInspector outOI = PTFPartition.setupPartitionOutputOI(serDe, OI);
        shp.setOI(outOI);
    } catch (Exception se) {
        throw new HiveException(se);
    }
}

Example 39 with HiveException

use of org.apache.hadoop.hive.ql.metadata.HiveException in project hive by apache.

the class SparkPartitionPruningSinkOperator method process.

@Override
public void process(Object row, int tag) throws HiveException {
    ObjectInspector rowInspector = inputObjInspectors[0];
    try {
        Writable writableRow = serializer.serialize(row, rowInspector);
        writableRow.write(buffer);
    } catch (Exception e) {
        throw new HiveException(e);
    }
}

Example 40 with HiveException

use of org.apache.hadoop.hive.ql.metadata.HiveException in project hive by apache.

the class Driver method run.

public CommandProcessorResponse run(String command, boolean alreadyCompiled) throws CommandNeedRetryException {
    CommandProcessorResponse cpr = runInternal(command, alreadyCompiled);
    if (cpr.getResponseCode() == 0) {
        return cpr;
    }
    SessionState ss = SessionState.get();
    if (ss == null) {
        return cpr;
    }
    MetaDataFormatter mdf = MetaDataFormatUtils.getFormatter(ss.getConf());
    if (!(mdf instanceof JsonMetaDataFormatter)) {
        return cpr;
    }
    /*Here we want to encode the error in machine readable way (e.g. JSON)
     * Ideally, errorCode would always be set to a canonical error defined in ErrorMsg.
     * In practice that is rarely the case, so the messy logic below tries to tease
     * out canonical error code if it can.  Exclude stack trace from output when
     * the error is a specific/expected one.
     * It's written to stdout for backward compatibility (WebHCat consumes it).*/
    try {
        if (downstreamError == null) {
            mdf.error(ss.out, errorMessage, cpr.getResponseCode(), SQLState);
            return cpr;
        }
        ErrorMsg canonicalErr = ErrorMsg.getErrorMsg(cpr.getResponseCode());
        if (canonicalErr != null && canonicalErr != ErrorMsg.GENERIC_ERROR) {
            /*Some HiveExceptions (e.g. SemanticException) don't set
          canonical ErrorMsg explicitly, but there is logic
          (e.g. #compile()) to find an appropriate canonical error and
          return its code as error code. In this case we want to
          preserve it for downstream code to interpret*/
            mdf.error(ss.out, errorMessage, cpr.getResponseCode(), SQLState, null);
            return cpr;
        }
        if (downstreamError instanceof HiveException) {
            HiveException rc = (HiveException) downstreamError;
            mdf.error(ss.out, errorMessage, rc.getCanonicalErrorMsg().getErrorCode(), SQLState, rc.getCanonicalErrorMsg() == ErrorMsg.GENERIC_ERROR ? org.apache.hadoop.util.StringUtils.stringifyException(rc) : null);
        } else {
            ErrorMsg canonicalMsg = ErrorMsg.getErrorMsg(downstreamError.getMessage());
            mdf.error(ss.out, errorMessage, canonicalMsg.getErrorCode(), SQLState, org.apache.hadoop.util.StringUtils.stringifyException(downstreamError));
        }
    } catch (HiveException ex) {
        console.printError("Unable to JSON-encode the error", org.apache.hadoop.util.StringUtils.stringifyException(ex));
    }
    return cpr;
}