Example usage for java.sql Types SMALLINT

Introduction

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

Prototype

int SMALLINT

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

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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 SMALLINT.

Usage

From source file:org.apache.ddlutils.platform.sybase.SybasePlatform.java

/**
 * Creates a new platform instance.//from   w  w  w . ja va2s .c o m
 */
public SybasePlatform() {
    PlatformInfo info = getPlatformInfo();

    info.setMaxIdentifierLength(28);
    info.setNullAsDefaultValueRequired(true);
    info.setIdentityColumnAutomaticallyRequired(true);
    info.setMultipleIdentityColumnsSupported(false);
    info.setPrimaryKeyColumnsHaveToBeRequired(true);
    info.setCommentPrefix("/*");
    info.setCommentSuffix("*/");

    info.addNativeTypeMapping(Types.ARRAY, "IMAGE");
    // BIGINT is mapped back in the model reader
    info.addNativeTypeMapping(Types.BIGINT, "DECIMAL(19,0)");
    // we're not using the native BIT type because it is rather limited (cannot be NULL, cannot be indexed)
    info.addNativeTypeMapping(Types.BIT, "SMALLINT", Types.SMALLINT);
    info.addNativeTypeMapping(Types.BLOB, "IMAGE", Types.LONGVARBINARY);
    info.addNativeTypeMapping(Types.BOOLEAN, "SMALLINT", Types.SMALLINT);
    info.addNativeTypeMapping(Types.CLOB, "TEXT", Types.LONGVARCHAR);
    info.addNativeTypeMapping(Types.DATALINK, "IMAGE", Types.LONGVARBINARY);
    info.addNativeTypeMapping(Types.DATE, "DATETIME", Types.TIMESTAMP);
    info.addNativeTypeMapping(Types.DISTINCT, "IMAGE", Types.LONGVARBINARY);
    info.addNativeTypeMapping(Types.DOUBLE, "DOUBLE PRECISION");
    info.addNativeTypeMapping(Types.FLOAT, "DOUBLE PRECISION", Types.DOUBLE);
    info.addNativeTypeMapping(Types.INTEGER, "INT");
    info.addNativeTypeMapping(Types.JAVA_OBJECT, "IMAGE", Types.LONGVARBINARY);
    info.addNativeTypeMapping(Types.LONGVARBINARY, "IMAGE");
    info.addNativeTypeMapping(Types.LONGVARCHAR, "TEXT");
    info.addNativeTypeMapping(Types.NULL, "IMAGE", Types.LONGVARBINARY);
    info.addNativeTypeMapping(Types.OTHER, "IMAGE", Types.LONGVARBINARY);
    info.addNativeTypeMapping(Types.REF, "IMAGE", Types.LONGVARBINARY);
    info.addNativeTypeMapping(Types.STRUCT, "IMAGE", Types.LONGVARBINARY);
    info.addNativeTypeMapping(Types.TIME, "DATETIME", Types.TIMESTAMP);
    info.addNativeTypeMapping(Types.TIMESTAMP, "DATETIME", Types.TIMESTAMP);
    info.addNativeTypeMapping(Types.TINYINT, "SMALLINT", Types.SMALLINT);

    info.setDefaultSize(Types.BINARY, 254);
    info.setDefaultSize(Types.VARBINARY, 254);
    info.setDefaultSize(Types.CHAR, 254);
    info.setDefaultSize(Types.VARCHAR, 254);

    setSqlBuilder(new SybaseBuilder(this));
    setModelReader(new SybaseModelReader(this));
}

---

From source file:org.apache.ddlutils.platform.postgresql.PostgreSqlPlatform.java

/**
 * Creates a new platform instance.//from   w  w w .j  a  v a2s.c  om
 */
public PostgreSqlPlatform() {
    PlatformInfo info = getPlatformInfo();

    info.setPrimaryKeyColumnAutomaticallyRequired(true);
    // this is the default length though it might be changed when building PostgreSQL
    // in file src/include/postgres_ext.h
    info.setMaxIdentifierLength(31);

    info.addNativeTypeMapping(Types.ARRAY, "BYTEA", Types.LONGVARBINARY);
    info.addNativeTypeMapping(Types.BINARY, "BYTEA", Types.LONGVARBINARY);
    info.addNativeTypeMapping(Types.BIT, "BOOLEAN");
    info.addNativeTypeMapping(Types.BLOB, "BYTEA", Types.LONGVARBINARY);
    info.addNativeTypeMapping(Types.BOOLEAN, "BOOLEAN", Types.BIT);
    info.addNativeTypeMapping(Types.CLOB, "TEXT", Types.LONGVARCHAR);
    info.addNativeTypeMapping(Types.DATALINK, "BYTEA", Types.LONGVARBINARY);
    info.addNativeTypeMapping(Types.DECIMAL, "NUMERIC", Types.NUMERIC);
    info.addNativeTypeMapping(Types.DISTINCT, "BYTEA", Types.LONGVARBINARY);
    info.addNativeTypeMapping(Types.DOUBLE, "DOUBLE PRECISION");
    info.addNativeTypeMapping(Types.FLOAT, "DOUBLE PRECISION", Types.DOUBLE);
    info.addNativeTypeMapping(Types.JAVA_OBJECT, "BYTEA", Types.LONGVARBINARY);
    info.addNativeTypeMapping(Types.LONGVARBINARY, "BYTEA");
    info.addNativeTypeMapping(Types.LONGVARCHAR, "TEXT", Types.LONGVARCHAR);
    info.addNativeTypeMapping(Types.NULL, "BYTEA", Types.LONGVARBINARY);
    info.addNativeTypeMapping(Types.OTHER, "BYTEA", Types.LONGVARBINARY);
    info.addNativeTypeMapping(Types.REF, "BYTEA", Types.LONGVARBINARY);
    info.addNativeTypeMapping(Types.STRUCT, "BYTEA", Types.LONGVARBINARY);
    info.addNativeTypeMapping(Types.TINYINT, "SMALLINT", Types.SMALLINT);
    info.addNativeTypeMapping(Types.VARBINARY, "BYTEA", Types.LONGVARBINARY);

    info.setDefaultSize(Types.CHAR, 254);
    info.setDefaultSize(Types.VARCHAR, 254);

    // no support for specifying the size for these types (because they are mapped
    // to BYTEA which back-maps to BLOB)
    info.setHasSize(Types.BINARY, false);
    info.setHasSize(Types.VARBINARY, false);

    setSqlBuilder(new PostgreSqlBuilder(this));
    setModelReader(new PostgreSqlModelReader(this));
}

---

From source file:org.apache.tajo.storage.jdbc.JdbcMetadataProviderBase.java

private TypeDesc convertDataType(ResultSet res) throws SQLException {
    final int typeId = res.getInt("DATA_TYPE");

    switch (typeId) {
    case Types.BOOLEAN:
        return new TypeDesc(newSimpleDataType(Type.BOOLEAN));

    case Types.TINYINT:
    case Types.SMALLINT:
    case Types.INTEGER:
        return new TypeDesc(newSimpleDataType(Type.INT4));

    case Types.DISTINCT: // sequence for postgresql
    case Types.BIGINT:
        return new TypeDesc(newSimpleDataType(Type.INT8));

    case Types.FLOAT:
        return new TypeDesc(newSimpleDataType(Type.FLOAT4));

    case Types.NUMERIC:
    case Types.DECIMAL:
    case Types.DOUBLE:
        return new TypeDesc(newSimpleDataType(Type.FLOAT8));

    case Types.DATE:
        return new TypeDesc(newSimpleDataType(Type.DATE));

    case Types.TIME:
        return new TypeDesc(newSimpleDataType(Type.TIME));

    case Types.TIMESTAMP:
        return new TypeDesc(newSimpleDataType(Type.TIMESTAMP));

    case Types.CHAR:
    case Types.NCHAR:
    case Types.VARCHAR:
    case Types.NVARCHAR:
    case Types.CLOB:
    case Types.NCLOB:
    case Types.LONGVARCHAR:
    case Types.LONGNVARCHAR:
        return new TypeDesc(newSimpleDataType(Type.TEXT));

    case Types.BINARY:
    case Types.VARBINARY:
    case Types.BLOB:
        return new TypeDesc(newSimpleDataType(Type.BLOB));

    default:// ww w.  j a v a 2  s  .c  o m
        throw SQLExceptionUtil.toSQLException(new UnsupportedDataTypeException(typeId + ""));
    }
}

---

From source file:org.nuxeo.ecm.core.storage.sql.jdbc.dialect.DialectDB2.java

@Override
public boolean isAllowedConversion(int expected, int actual, String actualName, int actualSize) {
    if (expected == Types.BIT && actual == Types.SMALLINT) {
        return true;
    }//from   ww w  . j a v a  2  s. c  o m
    return false;
}

---

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//from  w w  w .  ja va 2 s.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.kylin.jdbc.KylinClient.java

public static Object wrapObject(String value, int sqlType) {
    if (null == value) {
        return null;
    }/*  www.j  a  v  a  2  s.  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:org.apache.ddlutils.platform.oracle.Oracle8ModelReader.java

/**
  * {@inheritDoc}//from w  w  w. j  a v a2 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 .  ja v  a 2s.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;
    }
}

---

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

/**
 * @return the DBSplitter implementation to use to divide the table/query
 *         into InputSplits.//  ww w  . j a  v  a2 s  .  c  om
 */
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:co.nubetech.hiho.mapreduce.lib.db.apache.DataDrivenDBInputFormat.java

/**
 * @return the DBSplitter implementation to use to divide the table/query into InputSplits.
 *///from  ww  w .  ja  v  a 2 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;
    }
}

---

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