Examples with SqlType com.facebook.presto.spi.function.SqlType used on opensource projects

Example 46 with SqlType

use of com.facebook.presto.spi.function.SqlType in project presto by prestodb.

the class JoniRegexpFunctions method regexpLike.

@Description("returns whether the pattern is contained within the string")
@ScalarFunction
@LiteralParameters("x")
@SqlType(StandardTypes.BOOLEAN)
public static boolean regexpLike(@SqlType("varchar(x)") Slice source, @SqlType(JoniRegexpType.NAME) Regex pattern) {
    Matcher m = pattern.matcher(source.getBytes());
    int offset = m.search(0, source.length(), Option.DEFAULT);
    return offset != -1;
}

Example 47 with SqlType

use of com.facebook.presto.spi.function.SqlType in project presto by prestodb.

the class JsonFunctions method jsonArrayContains.

@SqlNullable
@ScalarFunction
@SqlType(StandardTypes.BOOLEAN)
public static Boolean jsonArrayContains(@SqlType(StandardTypes.JSON) Slice json, @SqlType(StandardTypes.DOUBLE) double value) {
    if (!Doubles.isFinite(value)) {
        return false;
    }
    try (JsonParser parser = createJsonParser(JSON_FACTORY, json)) {
        if (parser.nextToken() != START_ARRAY) {
            return null;
        }
        while (true) {
            JsonToken token = parser.nextToken();
            if (token == null) {
                return null;
            }
            if (token == END_ARRAY) {
                return false;
            }
            parser.skipChildren();
            // noinspection FloatingPointEquality
            if ((token == VALUE_NUMBER_FLOAT) && (parser.getDoubleValue() == value) && (Doubles.isFinite(parser.getDoubleValue()))) {
                return true;
            }
        }
    } catch (IOException e) {
        return null;
    }
}

Example 48 with SqlType

use of com.facebook.presto.spi.function.SqlType in project presto by prestodb.

the class JsonFunctions method jsonArrayGet.

@SqlNullable
@ScalarFunction
@SqlType(StandardTypes.JSON)
public static Slice jsonArrayGet(@SqlType(StandardTypes.JSON) Slice json, @SqlType(StandardTypes.BIGINT) long index) {
    // this value cannot be converted to positive number
    if (index == Long.MIN_VALUE) {
        return null;
    }
    try (JsonParser parser = createJsonParser(MAPPING_JSON_FACTORY, json)) {
        if (parser.nextToken() != START_ARRAY) {
            return null;
        }
        List<String> tokens = null;
        if (index < 0) {
            tokens = new LinkedList<>();
        }
        long count = 0;
        while (true) {
            JsonToken token = parser.nextToken();
            if (token == null) {
                return null;
            }
            if (token == END_ARRAY) {
                if (tokens != null && count >= index * -1) {
                    return utf8Slice(tokens.get(0));
                }
                return null;
            }
            String arrayElement;
            if (token == START_OBJECT || token == START_ARRAY) {
                arrayElement = parser.readValueAsTree().toString();
            } else {
                arrayElement = parser.getValueAsString();
            }
            if (count == index) {
                return arrayElement == null ? null : utf8Slice(arrayElement);
            }
            if (tokens != null) {
                tokens.add(arrayElement);
                if (count >= index * -1) {
                    tokens.remove(0);
                }
            }
            count++;
        }
    } catch (IOException e) {
        return null;
    }
}

Example 49 with SqlType

use of com.facebook.presto.spi.function.SqlType in project presto by prestodb.

the class JsonOperators method castToBigint.

@ScalarOperator(CAST)
@SqlNullable
@SqlType(BIGINT)
public static Long castToBigint(@SqlType(JSON) Slice json) {
    try (JsonParser parser = createJsonParser(JSON_FACTORY, json)) {
        parser.nextToken();
        Long result;
        switch(parser.getCurrentToken()) {
            case VALUE_NULL:
                result = null;
                break;
            case VALUE_STRING:
                result = VarcharOperators.castToBigint(Slices.utf8Slice(parser.getText()));
                break;
            case VALUE_NUMBER_FLOAT:
                result = DoubleOperators.castToLong(parser.getDoubleValue());
                break;
            case VALUE_NUMBER_INT:
                result = parser.getLongValue();
                break;
            case VALUE_TRUE:
                result = BooleanOperators.castToBigint(true);
                break;
            case VALUE_FALSE:
                result = BooleanOperators.castToBigint(false);
                break;
            default:
                throw new PrestoException(INVALID_CAST_ARGUMENT, format("Cannot cast '%s' to %s", json.toStringUtf8(), BIGINT));
        }
        // check no trailing token
        checkCondition(parser.nextToken() == null, INVALID_CAST_ARGUMENT, "Cannot cast input json to BIGINT");
        return result;
    } catch (IOException e) {
        throw new PrestoException(INVALID_CAST_ARGUMENT, format("Cannot cast '%s' to %s", json.toStringUtf8(), BIGINT));
    }
}

Example 50 with SqlType

use of com.facebook.presto.spi.function.SqlType in project presto by prestodb.

the class JsonOperators method castToVarchar.

@ScalarOperator(CAST)
@SqlNullable
@LiteralParameters("x")
@SqlType("varchar(x)")
public static Slice castToVarchar(@SqlType(JSON) Slice json) {
    try (JsonParser parser = createJsonParser(JSON_FACTORY, json)) {
        JsonToken nextToken = parser.nextToken();
        Slice result;
        switch(nextToken) {
            case VALUE_NULL:
                result = null;
                break;
            case VALUE_STRING:
                result = Slices.utf8Slice(parser.getText());
                break;
            case VALUE_NUMBER_FLOAT:
                // Avoidance of loss of precision does not seem to be possible here because of Jackson implementation.
                result = DoubleOperators.castToVarchar(parser.getDoubleValue());
                break;
            case VALUE_NUMBER_INT:
                // An alternative is calling getLongValue and then BigintOperators.castToVarchar.
                // It doesn't work as well because it can result in overflow and underflow exceptions for large integral numbers.
                result = Slices.utf8Slice(parser.getText());
                break;
            case VALUE_TRUE:
                result = BooleanOperators.castToVarchar(true);
                break;
            case VALUE_FALSE:
                result = BooleanOperators.castToVarchar(false);
                break;
            default:
                throw new PrestoException(INVALID_CAST_ARGUMENT, format("Cannot cast '%s' to %s", json.toStringUtf8(), VARCHAR));
        }
        // check no trailing token
        checkCondition(parser.nextToken() == null, INVALID_CAST_ARGUMENT, "Cannot cast input json to VARCHAR");
        return result;
    } catch (IOException e) {
        throw new PrestoException(INVALID_CAST_ARGUMENT, format("Cannot cast '%s' to %s", json.toStringUtf8(), VARCHAR));
    }
}