src.com.ziclix.python.sql.Jython22DataHandler Maven / Gradle / Ivy
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/*
* Jython Database Specification API 2.0
*
*
* Copyright (c) 2001 brian zimmer
*
*/
package com.ziclix.python.sql;
import java.io.BufferedInputStream;
import java.io.BufferedReader;
import java.io.InputStream;
import java.io.Reader;
import java.io.StringReader;
import java.math.BigDecimal;
import java.sql.CallableStatement;
import java.sql.Date;
import java.sql.PreparedStatement;
import java.sql.ResultSet;
import java.sql.SQLException;
import java.sql.Statement;
import java.sql.Time;
import java.sql.Timestamp;
import java.sql.Types;
import org.python.core.Py;
import org.python.core.PyFile;
import org.python.core.PyList;
import org.python.core.PyLong;
import org.python.core.PyObject;
import org.python.core.util.StringUtil;
/**
* A copy of the DataHandler class as it was before Jython 2.5. By that version,
* some backward-incompatible changes was made, as returning datetime.*
* objects for DATE, TIME and TIMESTAMP columns, instead of java.sql.* classes.
*
* @author brian zimmer
*/
public class Jython22DataHandler extends DataHandler {
/**
* Handle most generic Java data types.
*/
public Jython22DataHandler() {}
/**
* Some database vendors are case sensitive on calls to DatabaseMetaData,
* most notably Oracle. This callback allows a DataHandler to affect the
* name.
*/
@Override
public String getMetaDataName(PyObject name) {
return ((name == Py.None) ? null : name.__str__().toString());
}
/**
* A factory method for determing the correct procedure class to use
* per the cursor type.
* @param cursor an open cursor
* @param name the name of the procedure to invoke
* @return an instance of a Procedure
* @throws SQLException
*/
@Override
public Procedure getProcedure(PyCursor cursor, PyObject name) throws SQLException {
return new Procedure(cursor, name);
}
/**
* Returns the row id of the last executed statement.
*
* @param stmt the current statement
* @return the row id of the last executed statement or None
* @throws SQLException thrown if an exception occurs
*
*/
@Override
public PyObject getRowId(Statement stmt) throws SQLException {
return Py.None;
}
/**
* A callback prior to each execution of the statement. If the statement is
* a PreparedStatement, all the parameters will have been set.
*/
@Override
public void preExecute(Statement stmt) throws SQLException {
return;
}
/**
* A callback after successfully executing the statement.
*/
@Override
public void postExecute(Statement stmt) throws SQLException {
return;
}
/**
* Any .execute() which uses prepared statements will receive a callback for deciding
* how to map the PyObject to the appropriate JDBC type.
*
* @param stmt the current PreparedStatement
* @param index the index for which this object is bound
* @param object the PyObject in question
* @throws SQLException
*/
@Override
public void setJDBCObject(PreparedStatement stmt, int index, PyObject object) throws SQLException {
try {
stmt.setObject(index, object.__tojava__(Object.class));
} catch (Exception e) {
SQLException cause = null, ex = new SQLException("error setting index [" + index + "]");
if (e instanceof SQLException) {
cause = (SQLException) e;
} else {
cause = new SQLException(e.getMessage());
}
ex.setNextException(cause);
throw ex;
}
}
/**
* Any .execute() which uses prepared statements will receive a callback for deciding
* how to map the PyObject to the appropriate JDBC type. The type is the JDBC
* type as obtained from java.sql.Types.
*
* @param stmt the current PreparedStatement
* @param index the index for which this object is bound
* @param object the PyObject in question
* @param type the java.sql.Types for which this PyObject should be bound
* @throws SQLException
*/
@Override
public void setJDBCObject(PreparedStatement stmt, int index, PyObject object, int type) throws SQLException {
try {
if (checkNull(stmt, index, object, type)) {
return;
}
switch (type) {
case Types.DATE:
Date date = (Date) object.__tojava__(Date.class);
stmt.setDate(index, date);
break;
case Types.TIME:
Time time = (Time) object.__tojava__(Time.class);
stmt.setTime(index, time);
break;
case Types.TIMESTAMP:
Timestamp timestamp = (Timestamp) object.__tojava__(Timestamp.class);
stmt.setTimestamp(index, timestamp);
break;
case Types.LONGVARCHAR:
if (object instanceof PyFile) {
object = ((PyFile) object).read();
}
String varchar = (String) object.__tojava__(String.class);
Reader reader = new BufferedReader(new StringReader(varchar));
stmt.setCharacterStream(index, reader, varchar.length());
break;
case Types.BIT:
stmt.setBoolean(index, object.__nonzero__());
break;
default :
if (object instanceof PyFile) {
object = ((PyFile) object).read();
}
stmt.setObject(index, object.__tojava__(Object.class), type);
break;
}
} catch (Exception e) {
SQLException cause = null, ex = new SQLException("error setting index [" + index + "], type [" + type + "]");
if (e instanceof SQLException) {
cause = (SQLException) e;
} else {
cause = new SQLException(e.getMessage());
}
ex.setNextException(cause);
throw ex;
}
}
/**
* Given a ResultSet, column and type, return the appropriate
* Jython object.
*
* Note: DO NOT iterate the ResultSet.
*
* @param set the current ResultSet set to the current row
* @param col the column number (adjusted properly for JDBC)
* @param type the column type
* @throws SQLException if the type is unmappable
*/
@Override
@SuppressWarnings("deprecation")
public PyObject getPyObject(ResultSet set, int col, int type) throws SQLException {
PyObject obj = Py.None;
switch (type) {
case Types.CHAR:
case Types.VARCHAR:
String string = set.getString(col);
obj = (string == null) ? Py.None : Py.newString(string);
break;
case Types.LONGVARCHAR:
InputStream longvarchar = set.getAsciiStream(col);
if (longvarchar == null) {
obj = Py.None;
} else {
try {
longvarchar = new BufferedInputStream(longvarchar);
byte[] bytes = Jython22DataHandler.read(longvarchar);
if (bytes != null) {
obj = Py.newString(StringUtil.fromBytes(bytes));
}
} finally {
try {
longvarchar.close();
} catch (Throwable t) {}
}
}
break;
case Types.NUMERIC:
case Types.DECIMAL:
BigDecimal bd = null;
try {
bd = set.getBigDecimal(col, set.getMetaData().getPrecision(col));
} catch (Throwable t) {
bd = set.getBigDecimal(col, 10);
}
obj = (bd == null) ? Py.None : Py.newFloat(bd.doubleValue());
break;
case Types.BIT:
obj = set.getBoolean(col) ? Py.One : Py.Zero;
break;
case Types.INTEGER:
case Types.TINYINT:
case Types.SMALLINT:
obj = Py.newInteger(set.getInt(col));
break;
case Types.BIGINT:
obj = new PyLong(set.getLong(col));
break;
case Types.FLOAT:
case Types.REAL:
obj = Py.newFloat(set.getFloat(col));
break;
case Types.DOUBLE:
obj = Py.newFloat(set.getDouble(col));
break;
case Types.TIME:
obj = Py.java2py(set.getTime(col));
break;
case Types.TIMESTAMP:
obj = Py.java2py(set.getTimestamp(col));
break;
case Types.DATE:
obj = Py.java2py(set.getDate(col));
break;
case Types.NULL:
obj = Py.None;
break;
case Types.OTHER:
obj = Py.java2py(set.getObject(col));
break;
case Types.BINARY:
case Types.VARBINARY:
case Types.LONGVARBINARY:
obj = Py.java2py(set.getBytes(col));
break;
default :
throw createUnsupportedTypeSQLException(Integer.valueOf(type), col);
}
return (set.wasNull() || (obj == null)) ? Py.None : obj;
}
/**
* Given a CallableStatement, column and type, return the appropriate
* Jython object.
*
* @param stmt the CallableStatement
* @param col the column number (adjusted properly for JDBC)
* @param type the column type
* @throws SQLException if the type is unmappable
*/
@Override
@SuppressWarnings("deprecation")
public PyObject getPyObject(CallableStatement stmt, int col, int type) throws SQLException {
PyObject obj = Py.None;
switch (type) {
case Types.CHAR:
case Types.VARCHAR:
case Types.LONGVARCHAR:
String string = stmt.getString(col);
obj = (string == null) ? Py.None : Py.newString(string);
break;
case Types.NUMERIC:
case Types.DECIMAL:
BigDecimal bd = stmt.getBigDecimal(col, 10);
obj = (bd == null) ? Py.None : Py.newFloat(bd.doubleValue());
break;
case Types.BIT:
obj = stmt.getBoolean(col) ? Py.One : Py.Zero;
break;
case Types.INTEGER:
case Types.TINYINT:
case Types.SMALLINT:
obj = Py.newInteger(stmt.getInt(col));
break;
case Types.BIGINT:
obj = new PyLong(stmt.getLong(col));
break;
case Types.FLOAT:
case Types.REAL:
obj = Py.newFloat(stmt.getFloat(col));
break;
case Types.DOUBLE:
obj = Py.newFloat(stmt.getDouble(col));
break;
case Types.TIME:
obj = Py.java2py(stmt.getTime(col));
break;
case Types.TIMESTAMP:
obj = Py.java2py(stmt.getTimestamp(col));
break;
case Types.DATE:
obj = Py.java2py(stmt.getDate(col));
break;
case Types.NULL:
obj = Py.None;
break;
case Types.OTHER:
obj = Py.java2py(stmt.getObject(col));
break;
case Types.BINARY:
case Types.VARBINARY:
case Types.LONGVARBINARY:
obj = Py.java2py(stmt.getBytes(col));
break;
default :
throw createUnsupportedTypeSQLException(Integer.valueOf(type), col);
}
return (stmt.wasNull() || (obj == null)) ? Py.None : obj;
}
/**
* Called when a stored procedure or function is executed and OUT parameters
* need to be registered with the statement.
*
* @param statement
* @param index the JDBC offset column number
* @param colType the column as from DatabaseMetaData (eg, procedureColumnOut)
* @param dataType the JDBC datatype from Types
* @param dataTypeName the JDBC datatype name
*
* @throws SQLException
*
*/
@Override
public void registerOut(CallableStatement statement, int index, int colType, int dataType, String dataTypeName) throws SQLException {
try {
statement.registerOutParameter(index, dataType);
} catch (Throwable t) {
SQLException cause = null;
SQLException ex = new SQLException("error setting index ["
+ index + "], coltype [" + colType + "], datatype [" + dataType
+ "], datatypename [" + dataTypeName + "]");
if (t instanceof SQLException) {
cause = (SQLException)t;
} else {
cause = new SQLException(t.getMessage());
}
ex.setNextException(cause);
throw ex;
}
}
/**
* Returns a list of datahandlers chained together through the use of delegation.
*
* @return a list of datahandlers
*/
@Override
public PyObject __chain__() {
return new PyList(Py.javas2pys(this));
}
}