Example usage for java.sql Types REAL

List of usage examples for java.sql Types REAL

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Introduction

In this page you can find the example usage for java.sql Types REAL.

Prototype

int REAL

To view the source code for java.sql Types REAL.

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Document

The constant in the Java programming language, sometimes referred to as a type code, that identifies the generic SQL type REAL.

Usage

From source file:com.sangupta.fileanalysis.db.DBResultViewer.java

/**
 * View resutls of a {@link ResultSet}./*from   www .  ja  v  a 2 s  .  com*/
 * 
 * @param resultSet
 * @throws SQLException 
 */
public void viewResult(ResultSet resultSet) throws SQLException {
    if (resultSet == null) {
        // nothing to do
        return;
    }

    // collect the meta
    ResultSetMetaData meta = resultSet.getMetaData();

    final int numColumns = meta.getColumnCount();
    final int[] displaySizes = new int[numColumns + 1];
    final int[] colType = new int[numColumns + 1];

    for (int index = 1; index <= numColumns; index++) {
        colType[index] = meta.getColumnType(index);
        displaySizes[index] = getColumnSize(meta.getTableName(index), meta.getColumnName(index),
                colType[index]);
    }

    // display the header row
    for (int index = 1; index <= numColumns; index++) {
        center(meta.getColumnLabel(index), displaySizes[index]);
    }
    System.out.println("|");
    for (int index = 1; index <= numColumns; index++) {
        System.out.print("+" + StringUtils.repeat('-', displaySizes[index] + 2));
    }
    System.out.println("+");

    // start iterating over the result set
    int rowsDisplayed = 0;
    int numRecords = 0;
    while (resultSet.next()) {
        // read and display the value
        rowsDisplayed++;
        numRecords++;

        for (int index = 1; index <= numColumns; index++) {
            switch (colType[index]) {
            case Types.DECIMAL:
            case Types.DOUBLE:
            case Types.REAL:
                format(resultSet.getDouble(index), displaySizes[index]);
                continue;

            case Types.INTEGER:
            case Types.SMALLINT:
                format(resultSet.getInt(index), displaySizes[index]);
                continue;

            case Types.VARCHAR:
                format(resultSet.getString(index), displaySizes[index], false);
                continue;

            case Types.TIMESTAMP:
                format(resultSet.getTimestamp(index), displaySizes[index]);
                continue;

            case Types.BIGINT:
                format(resultSet.getBigDecimal(index), displaySizes[index]);
                continue;
            }
        }

        // terminator for row and new line
        System.out.println("|");

        // check for rows displayed
        if (rowsDisplayed == 20) {
            // ask the user if more data needs to be displayed
            String cont = ConsoleUtils.readLine("Type \"it\" for more: ", true);
            if (!"it".equalsIgnoreCase(cont)) {
                break;
            }

            // continue;
            rowsDisplayed = 0;
            continue;
        }
    }

    System.out.println("\nTotal number of records found: " + numRecords);
}

From source file:org.apache.sqoop.mapreduce.db.DataDrivenDBInputFormat.java

/**
 * @return the DBSplitter implementation to use to divide the table/query
 * into InputSplits.//from www .j  a v  a2  s. co m
 */
protected DBSplitter getSplitter(int sqlDataType) {
    switch (sqlDataType) {
    case Types.NUMERIC:
    case Types.DECIMAL:
        return new BigDecimalSplitter();

    case Types.BIT:
    case Types.BOOLEAN:
        return new BooleanSplitter();

    case Types.INTEGER:
    case Types.TINYINT:
    case Types.SMALLINT:
    case Types.BIGINT:
        return new IntegerSplitter();

    case Types.REAL:
    case Types.FLOAT:
    case Types.DOUBLE:
        return new FloatSplitter();

    case Types.CHAR:
    case Types.VARCHAR:
    case Types.LONGVARCHAR:
    case Types.LONGNVARCHAR:
    case Types.NVARCHAR:
    case Types.NCHAR:
        return new TextSplitter();

    case Types.DATE:
    case Types.TIME:
    case Types.TIMESTAMP:
        return new DateSplitter();

    default:
        // TODO: Support BINARY, VARBINARY, LONGVARBINARY, DISTINCT, CLOB,
        // BLOB, ARRAY, STRUCT, REF, DATALINK, and JAVA_OBJECT.
        return null;
    }
}

From source file:au.com.ish.derbydump.derbydump.metadata.Column.java

/**
 * Get a string value for the value in this column in the datarow
 * /*from w ww.  j a v  a 2s .  com*/
 * @param dataRow The row which we are exporting
 * @return an SQL statement compliant string version of the value
 */
public String toString(ResultSet dataRow) throws SQLException {

    switch (getColumnDataType()) {
    case Types.BINARY:
    case Types.VARBINARY:
    case Types.BLOB: {
        Blob obj = dataRow.getBlob(columnName);
        return (obj == null) ? "NULL" : processBinaryData(obj);
    }

    case Types.CLOB: {
        Clob obj = dataRow.getClob(columnName);
        return (obj == null) ? "NULL" : processClobData(obj);
    }

    case Types.CHAR:
    case Types.LONGNVARCHAR:
    case Types.VARCHAR: {
        String obj = dataRow.getString(columnName);
        return (obj == null) ? "NULL" : processStringData(obj);
    }

    case Types.TIME: {
        Time obj = dataRow.getTime(columnName);
        return (obj == null) ? "NULL" : processStringData(obj.toString());
    }

    case Types.DATE: {
        Date obj = dataRow.getDate(columnName);
        return (obj == null) ? "NULL" : processStringData(obj.toString());
    }

    case Types.TIMESTAMP: {
        Timestamp obj = dataRow.getTimestamp(columnName);
        return (obj == null) ? "NULL" : processStringData(obj.toString());
    }

    case Types.SMALLINT: {
        Object obj = dataRow.getObject(columnName);
        return (obj == null) ? "NULL" : obj.toString();
    }

    case Types.BIGINT: {
        Object obj = dataRow.getObject(columnName);
        return (obj == null) ? "NULL" : obj.toString();
    }

    case Types.INTEGER: {
        Object obj = dataRow.getObject(columnName);
        return (obj == null) ? "NULL" : obj.toString();
    }

    case Types.NUMERIC:
    case Types.DECIMAL: {
        BigDecimal obj = dataRow.getBigDecimal(columnName);
        return (obj == null) ? "NULL" : String.valueOf(obj);
    }

    case Types.REAL:
    case Types.FLOAT: {
        Float obj = dataRow.getFloat(columnName);
        // dataRow.getFloat() always returns a value. only way to check the null is wasNull() method
        return (dataRow.wasNull()) ? "NULL" : String.valueOf(obj);
    }

    case Types.DOUBLE: {
        Double obj = dataRow.getDouble(columnName);
        return (dataRow.wasNull()) ? "NULL" : String.valueOf(obj);
    }

    default: {
        Object obj = dataRow.getObject(columnName);
        return (obj == null) ? "NULL" : obj.toString();
    }
    }
}

From source file:org.apache.ddlutils.platform.firebird.FirebirdModelReader.java

/**
* {@inheritDoc}/*from w  w  w . java  2s. c  o  m*/
*/
protected Column readColumn(DatabaseMetaDataWrapper metaData, Map values) throws SQLException {
    Column column = super.readColumn(metaData, values);

    if (column.getTypeCode() == Types.FLOAT) {
        column.setTypeCode(Types.REAL);
    } else if (TypeMap.isTextType(column.getTypeCode())) {
        column.setDefaultValue(unescape(column.getDefaultValue(), "'", "''"));
    }
    return column;
}

From source file:org.apache.sqoop.manager.ConnManager.java

/**
 * Resolve a database-specific type to the Java type that should contain it.
 * @param sqlType     sql type//  w w  w.jav  a  2s .c o  m
 * @return the name of a Java type to hold the sql datatype, or null if none.
 */
public String toJavaType(int sqlType) {
    // Mappings taken from:
    // http://java.sun.com/j2se/1.3/docs/guide/jdbc/getstart/mapping.html
    if (sqlType == Types.INTEGER) {
        return "Integer";
    } else if (sqlType == Types.VARCHAR) {
        return "String";
    } else if (sqlType == Types.CHAR) {
        return "String";
    } else if (sqlType == Types.LONGVARCHAR) {
        return "String";
    } else if (sqlType == Types.NVARCHAR) {
        return "String";
    } else if (sqlType == Types.NCHAR) {
        return "String";
    } else if (sqlType == Types.LONGNVARCHAR) {
        return "String";
    } else if (sqlType == Types.NUMERIC) {
        return "java.math.BigDecimal";
    } else if (sqlType == Types.DECIMAL) {
        return "java.math.BigDecimal";
    } else if (sqlType == Types.BIT) {
        return "Boolean";
    } else if (sqlType == Types.BOOLEAN) {
        return "Boolean";
    } else if (sqlType == Types.TINYINT) {
        return "Integer";
    } else if (sqlType == Types.SMALLINT) {
        return "Integer";
    } else if (sqlType == Types.BIGINT) {
        return "Long";
    } else if (sqlType == Types.REAL) {
        return "Float";
    } else if (sqlType == Types.FLOAT) {
        return "Double";
    } else if (sqlType == Types.DOUBLE) {
        return "Double";
    } else if (sqlType == Types.DATE) {
        return "java.sql.Date";
    } else if (sqlType == Types.TIME) {
        return "java.sql.Time";
    } else if (sqlType == Types.TIMESTAMP) {
        return "java.sql.Timestamp";
    } else if (sqlType == Types.BINARY || sqlType == Types.VARBINARY) {
        return BytesWritable.class.getName();
    } else if (sqlType == Types.CLOB) {
        return ClobRef.class.getName();
    } else if (sqlType == Types.BLOB || sqlType == Types.LONGVARBINARY) {
        return BlobRef.class.getName();
    } else {
        // TODO(aaron): Support DISTINCT, ARRAY, STRUCT, REF, JAVA_OBJECT.
        // Return null indicating database-specific manager should return a
        // java data type if it can find one for any nonstandard type.
        return null;
    }
}

From source file:org.apache.syncope.core.persistence.jpa.content.ContentLoaderHandler.java

private Object[] getParameters(final String tableName, final Attributes attrs) {
    JdbcTemplate jdbcTemplate = new JdbcTemplate(dataSource);

    Map<String, Integer> colTypes = jdbcTemplate.query("SELECT * FROM " + tableName + " WHERE 0=1",
            new ResultSetExtractor<Map<String, Integer>>() {

                @Override//  ww w .  j a  v a 2s .  c  om
                public Map<String, Integer> extractData(final ResultSet rs) throws SQLException {
                    Map<String, Integer> colTypes = new HashMap<>();
                    for (int i = 1; i <= rs.getMetaData().getColumnCount(); i++) {
                        colTypes.put(rs.getMetaData().getColumnName(i).toUpperCase(),
                                rs.getMetaData().getColumnType(i));
                    }
                    return colTypes;
                }
            });

    Object[] parameters = new Object[attrs.getLength()];
    for (int i = 0; i < attrs.getLength(); i++) {
        Integer colType = colTypes.get(attrs.getQName(i).toUpperCase());
        if (colType == null) {
            LOG.warn("No column type found for {}", attrs.getQName(i).toUpperCase());
            colType = Types.VARCHAR;
        }

        switch (colType) {
        case Types.INTEGER:
        case Types.TINYINT:
        case Types.SMALLINT:
            try {
                parameters[i] = Integer.valueOf(attrs.getValue(i));
            } catch (NumberFormatException e) {
                LOG.error("Unparsable Integer '{}'", attrs.getValue(i));
                parameters[i] = attrs.getValue(i);
            }
            break;

        case Types.NUMERIC:
        case Types.DECIMAL:
        case Types.BIGINT:
            try {
                parameters[i] = Long.valueOf(attrs.getValue(i));
            } catch (NumberFormatException e) {
                LOG.error("Unparsable Long '{}'", attrs.getValue(i));
                parameters[i] = attrs.getValue(i);
            }
            break;

        case Types.DOUBLE:
            try {
                parameters[i] = Double.valueOf(attrs.getValue(i));
            } catch (NumberFormatException e) {
                LOG.error("Unparsable Double '{}'", attrs.getValue(i));
                parameters[i] = attrs.getValue(i);
            }
            break;

        case Types.REAL:
        case Types.FLOAT:
            try {
                parameters[i] = Float.valueOf(attrs.getValue(i));
            } catch (NumberFormatException e) {
                LOG.error("Unparsable Float '{}'", attrs.getValue(i));
                parameters[i] = attrs.getValue(i);
            }
            break;

        case Types.DATE:
        case Types.TIME:
        case Types.TIMESTAMP:
            try {
                parameters[i] = FormatUtils.parseDate(attrs.getValue(i));
            } catch (ParseException e) {
                LOG.error("Unparsable Date '{}'", attrs.getValue(i));
                parameters[i] = attrs.getValue(i);
            }
            break;

        case Types.BIT:
        case Types.BOOLEAN:
            parameters[i] = "1".equals(attrs.getValue(i)) ? Boolean.TRUE : Boolean.FALSE;
            break;

        case Types.BINARY:
        case Types.VARBINARY:
        case Types.LONGVARBINARY:
            try {
                parameters[i] = Hex.decodeHex(attrs.getValue(i).toCharArray());
            } catch (DecoderException | IllegalArgumentException e) {
                parameters[i] = attrs.getValue(i);
            }
            break;

        case Types.BLOB:
            try {
                parameters[i] = Hex.decodeHex(attrs.getValue(i).toCharArray());
            } catch (DecoderException | IllegalArgumentException e) {
                LOG.warn("Error decoding hex string to specify a blob parameter", e);
                parameters[i] = attrs.getValue(i);
            } catch (Exception e) {
                LOG.warn("Error creating a new blob parameter", e);
            }
            break;

        default:
            parameters[i] = attrs.getValue(i);
        }
    }

    return parameters;
}

From source file:org.apache.ddlutils.platform.oracle.Oracle8ModelReader.java

/**
  * {@inheritDoc}/*from   w  w w . ja  v a 2 s. c o  m*/
  */
protected Column readColumn(DatabaseMetaDataWrapper metaData, Map values) throws SQLException {
    Column column = super.readColumn(metaData, values);

    if (column.getDefaultValue() != null) {
        // Oracle pads the default value with spaces
        column.setDefaultValue(column.getDefaultValue().trim());
    }
    if (column.getTypeCode() == Types.DECIMAL) {
        // We're back-mapping the NUMBER columns returned by Oracle
        // Note that the JDBC driver returns DECIMAL for these NUMBER columns
        switch (column.getSizeAsInt()) {
        case 1:
            if (column.getScale() == 0) {
                column.setTypeCode(Types.BIT);
            }
            break;
        case 3:
            if (column.getScale() == 0) {
                column.setTypeCode(Types.TINYINT);
            }
            break;
        case 5:
            if (column.getScale() == 0) {
                column.setTypeCode(Types.SMALLINT);
            }
            break;
        case 18:
            column.setTypeCode(Types.REAL);
            break;
        case 22:
            if (column.getScale() == 0) {
                column.setTypeCode(Types.INTEGER);
            }
            break;
        case 38:
            if (column.getScale() == 0) {
                column.setTypeCode(Types.BIGINT);
            } else {
                column.setTypeCode(Types.DOUBLE);
            }
            break;
        }
    } else if (column.getTypeCode() == Types.FLOAT) {
        // Same for REAL, FLOAT, DOUBLE PRECISION, which all back-map to FLOAT but with
        // different sizes (63 for REAL, 126 for FLOAT/DOUBLE PRECISION)
        switch (column.getSizeAsInt()) {
        case 63:
            column.setTypeCode(Types.REAL);
            break;
        case 126:
            column.setTypeCode(Types.DOUBLE);
            break;
        }
    } else if ((column.getTypeCode() == Types.DATE) || (column.getTypeCode() == Types.TIMESTAMP)) {
        // Oracle has only one DATE/TIME type, so we can't know which it is and thus map
        // it back to TIMESTAMP
        column.setTypeCode(Types.TIMESTAMP);

        // we also reverse the ISO-format adaptation, and adjust the default value to timestamp
        if (column.getDefaultValue() != null) {
            Matcher matcher = _oracleIsoTimestampPattern.matcher(column.getDefaultValue());
            Timestamp timestamp = null;

            if (matcher.matches()) {
                String timestampVal = matcher.group(1);

                timestamp = Timestamp.valueOf(timestampVal);
            } else {
                matcher = _oracleIsoDatePattern.matcher(column.getDefaultValue());
                if (matcher.matches()) {
                    String dateVal = matcher.group(1);

                    timestamp = new Timestamp(Date.valueOf(dateVal).getTime());
                } else {
                    matcher = _oracleIsoTimePattern.matcher(column.getDefaultValue());
                    if (matcher.matches()) {
                        String timeVal = matcher.group(1);

                        timestamp = new Timestamp(Time.valueOf(timeVal).getTime());
                    }
                }
            }
            if (timestamp != null) {
                column.setDefaultValue(timestamp.toString());
            }
        }
    } else if (TypeMap.isTextType(column.getTypeCode())) {
        column.setDefaultValue(unescape(column.getDefaultValue(), "'", "''"));
    }
    return column;
}

From source file:com.cloudera.sqoop.mapreduce.db.DataDrivenDBInputFormat.java

/**
 * @return the DBSplitter implementation to use to divide the table/query
 * into InputSplits./*  w  w  w.  j  a va 2s.  co  m*/
 */
protected DBSplitter getSplitter(int sqlDataType) {
    switch (sqlDataType) {
    case Types.NUMERIC:
    case Types.DECIMAL:
        return new BigDecimalSplitter();

    case Types.BIT:
    case Types.BOOLEAN:
        return new BooleanSplitter();

    case Types.INTEGER:
    case Types.TINYINT:
    case Types.SMALLINT:
    case Types.BIGINT:
        return new IntegerSplitter();

    case Types.REAL:
    case Types.FLOAT:
    case Types.DOUBLE:
        return new FloatSplitter();

    case Types.CHAR:
    case Types.VARCHAR:
    case Types.LONGVARCHAR:
        return new TextSplitter();

    case Types.DATE:
    case Types.TIME:
    case Types.TIMESTAMP:
        return new DateSplitter();

    default:
        // TODO: Support BINARY, VARBINARY, LONGVARBINARY, DISTINCT, CLOB,
        // BLOB, ARRAY, STRUCT, REF, DATALINK, and JAVA_OBJECT.
        return null;
    }
}

From source file:org.apache.kylin.jdbc.KylinClient.java

public static Object wrapObject(String value, int sqlType) {
    if (null == value) {
        return null;
    }// w w w . jav  a  2s. c  o m

    switch (sqlType) {
    case Types.CHAR:
    case Types.VARCHAR:
    case Types.LONGVARCHAR:
        return value;
    case Types.NUMERIC:
    case Types.DECIMAL:
        return new BigDecimal(value);
    case Types.BIT:
        return Boolean.parseBoolean(value);
    case Types.TINYINT:
        return Byte.valueOf(value);
    case Types.SMALLINT:
        return Short.valueOf(value);
    case Types.INTEGER:
        return Integer.parseInt(value);
    case Types.BIGINT:
        return Long.parseLong(value);
    case Types.FLOAT:
        return Float.parseFloat(value);
    case Types.REAL:
    case Types.DOUBLE:
        return Double.parseDouble(value);
    case Types.BINARY:
    case Types.VARBINARY:
    case Types.LONGVARBINARY:
        return value.getBytes();
    case Types.DATE:
        return Date.valueOf(value);
    case Types.TIME:
        return Time.valueOf(value);
    case Types.TIMESTAMP:
        return Timestamp.valueOf(value);
    default:
        //do nothing
        break;

    }

    return value;
}

From source file:co.nubetech.apache.hadoop.DataDrivenDBInputFormat.java

/**
 * @return the DBSplitter implementation to use to divide the table/query
 *         into InputSplits./*  www .j a  va2  s.  c o m*/
 */
protected DBSplitter getSplitter(int sqlDataType) {
    switch (sqlDataType) {
    case Types.NUMERIC:
    case Types.DECIMAL:
        return new BigDecimalSplitter();

    case Types.BIT:
    case Types.BOOLEAN:
        return new BooleanSplitter();

    case Types.INTEGER:
    case Types.TINYINT:
    case Types.SMALLINT:
    case Types.BIGINT:
        return new IntegerSplitter();

    case Types.REAL:
    case Types.FLOAT:
    case Types.DOUBLE:
        return new FloatSplitter();

    case Types.CHAR:
    case Types.VARCHAR:
    case Types.LONGVARCHAR:
        return new TextSplitter();

    case Types.DATE:
    case Types.TIME:
    case Types.TIMESTAMP:
        return new DateSplitter();

    default:
        // TODO: Support BINARY, VARBINARY, LONGVARBINARY, DISTINCT, CLOB,
        // BLOB, ARRAY
        // STRUCT, REF, DATALINK, and JAVA_OBJECT.
        return null;
    }
}