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/*
 * Jython Database Specification API 2.0
 *
 *
 * Copyright (c) 2001 brian zimmer 
 *
 */
package com.ziclix.python.sql;

import org.python.core.Py;
import org.python.core.PyException;
import org.python.core.PyInteger;
import org.python.core.PyList;
import org.python.core.PyObject;
import org.python.core.PyTuple;
import org.python.core.Traverseproc;
import org.python.core.Visitproc;

import java.sql.CallableStatement;
import java.sql.DatabaseMetaData;
import java.sql.ResultSet;
import java.sql.ResultSetMetaData;
import java.sql.SQLException;
import java.sql.SQLWarning;
import java.sql.Types;
import java.util.ArrayList;
import java.util.LinkedList;
import java.util.List;
import java.util.Set;

/**
 * 

The responsibility of a Fetch instance is to manage the iteration of a * ResultSet. Two different alogorithms are available: static or dynamic.

* *

Static The static variety iterates the entire set immediately, * creating the necessary Jython objects and storing them. It is able to * immediately close the ResultSet so a call to close() is essentially a no-op * from a database resource perspective (it does clear the results list however). * This approach also allows for the correct rowcount to be determined since * the entire result set has been iterated.

* *

Dynamic The dynamic variety iterates the result set only as requested. * This holds a bit truer to the intent of the API as the fetch*() methods actually * fetch when instructed. This is especially useful for managing exeedingly large * results, but is unable to determine the rowcount without having worked through * the entire result set. The other disadvantage is the ResultSet remains open * throughout the entire iteration. So the tradeoff is in open database resources * versus JVM resources since the application can keep constant space if it doesn't * require the entire result set be presented as one.

* * @author brian zimmer */ abstract public class Fetch implements Traverseproc { /** * The total number of rows in the result set. *

* Note: since JDBC provides no means to get this information without iterating * the entire result set, only those fetches which build the result statically * will have an accurate row count. */ protected int rowcount; /** * The current row of the cursor (-1 if off either end). */ protected int rownumber; /** * Field cursor */ private DataHandler datahandler; /** * Field description */ protected PyObject description; /** * A list of warning listeners. */ private List listeners; /** * Constructor Fetch * * @param datahandler */ protected Fetch(DataHandler datahandler) { this.rowcount = -1; this.rownumber = -1; this.description = Py.None; this.datahandler = datahandler; this.listeners = new ArrayList(3); } /** * Method newFetch * * @param datahandler * @param dynamic * @return Fetch */ public static Fetch newFetch(DataHandler datahandler, boolean dynamic) { if (dynamic) { return new DynamicFetch(datahandler); } else { return new StaticFetch(datahandler); } } /** * The number of rows in the current result set. */ public int getRowCount() { return this.rowcount; } /** * The description of each column, in order, for the data in the result * set. */ public PyObject getDescription() { return this.description; } /** * Create the results after a successful execution and manages the result set. * * @param resultSet */ abstract public void add(ResultSet resultSet); /** * Create the results after a successful execution and manages the result set. * Optionally takes a set of JDBC-indexed columns to automatically set to None * primarily to support getTypeInfo() which sets a column type of a number but * doesn't use the value so a driver is free to put anything it wants there. * * @param resultSet * @param skipCols JDBC-indexed set of columns to be skipped */ abstract public void add(ResultSet resultSet, Set skipCols); /** * Method add * * @param callableStatement * @param procedure * @param params */ abstract public void add(CallableStatement callableStatement, Procedure procedure, PyObject params); /** * Fetch the next row of a query result set, returning a single sequence, * or None when no more data is available. *

* An Error (or subclass) exception is raised if the previous call to * executeXXX() did not produce any result set or no call was issued yet. * * @return a single sequence from the result set, or None when no more data is available */ public PyObject fetchone() { PyObject sequence = fetchmany(1); if (sequence.__len__() == 1) { return sequence.__getitem__(0); } else { return Py.None; } } /** * Fetch all (remaining) rows of a query result, returning them as a sequence * of sequences (e.g. a list of tuples). Note that the cursor's arraysize attribute * can affect the performance of this operation. *

* An Error (or subclass) exception is raised if the previous call to executeXXX() * did not produce any result set or no call was issued yet. * * @return a sequence of sequences from the result set, or None when no more data is available */ public abstract PyObject fetchall(); /** * Fetch the next set of rows of a query result, returning a sequence of * sequences (e.g. a list of tuples). An empty sequence is returned when * no more rows are available. *

* The number of rows to fetch per call is specified by the parameter. If * it is not given, the cursor's arraysize determines the number of rows * to be fetched. The method should try to fetch as many rows as indicated * by the size parameter. If this is not possible due to the specified number * of rows not being available, fewer rows may be returned. *

* An Error (or subclass) exception is raised if the previous call to executeXXX() * did not produce any result set or no call was issued yet. *

* Note there are performance considerations involved with the size parameter. * For optimal performance, it is usually best to use the arraysize attribute. * If the size parameter is used, then it is best for it to retain the same value * from one fetchmany() call to the next. * * @return a sequence of sequences from the result set, or None when no more data is available */ public abstract PyObject fetchmany(int size); /** * Move the result pointer to the next set if available. * * @return true if more sets exist, else None */ public abstract PyObject nextset(); /** * Scroll the cursor in the result set to a new position according * to mode. *

* If mode is 'relative' (default), value is taken as offset to * the current position in the result set, if set to 'absolute', * value states an absolute target position. *

* An IndexError should be raised in case a scroll operation would * leave the result set. In this case, the cursor position is left * undefined (ideal would be to not move the cursor at all). *

* Note: This method should use native scrollable cursors, if * available, or revert to an emulation for forward-only * scrollable cursors. The method may raise NotSupportedErrors to * signal that a specific operation is not supported by the * database (e.g. backward scrolling). * * @param value * @param mode */ public abstract void scroll(int value, String mode); /** * Cleanup any resources. */ public void close() throws SQLException { this.listeners.clear(); } /** * Builds a tuple containing the meta-information about each column. *

* (name, type_code, display_size, internal_size, precision, scale, null_ok) *

* precision and scale are only available for numeric types */ protected PyObject createDescription(ResultSetMetaData meta) throws SQLException { PyObject metadata = new PyList(); for (int i = 1; i <= meta.getColumnCount(); i++) { PyObject[] a = new PyObject[7]; a[0] = Py.newUnicode(meta.getColumnLabel(i)); a[1] = Py.newInteger(meta.getColumnType(i)); a[2] = Py.newInteger(meta.getColumnDisplaySize(i)); a[3] = Py.None; switch (meta.getColumnType(i)) { case Types.BIGINT: case Types.BIT: case Types.DECIMAL: case Types.NUMERIC: case Types.DOUBLE: case Types.FLOAT: case Types.INTEGER: case Types.SMALLINT: case Types.TINYINT: a[4] = Py.newInteger(meta.getPrecision(i)); a[5] = Py.newInteger(meta.getScale(i)); break; default : a[4] = Py.None; a[5] = Py.None; break; } a[6] = Py.newInteger(meta.isNullable(i)); ((PyList) metadata).append(new PyTuple(a)); } return metadata; } /** * Builds a tuple containing the meta-information about each column. *

* (name, type_code, display_size, internal_size, precision, scale, null_ok) *

* precision and scale are only available for numeric types */ protected PyObject createDescription(Procedure procedure) throws SQLException { PyObject metadata = new PyList(); for (int i = 0, len = procedure.columns.__len__(); i < len; i++) { PyObject column = procedure.columns.__getitem__(i); int colType = column.__getitem__(Procedure.COLUMN_TYPE).asInt(); switch (colType) { case DatabaseMetaData.procedureColumnReturn: PyObject[] a = new PyObject[7]; a[0] = column.__getitem__(Procedure.NAME); a[1] = column.__getitem__(Procedure.DATA_TYPE); a[2] = Py.newInteger(-1); a[3] = column.__getitem__(Procedure.LENGTH); switch (a[1].asInt()) { case Types.BIGINT: case Types.BIT: case Types.DECIMAL: case Types.DOUBLE: case Types.FLOAT: case Types.INTEGER: case Types.SMALLINT: a[4] = column.__getitem__(Procedure.PRECISION); a[5] = column.__getitem__(Procedure.SCALE); break; default : a[4] = Py.None; a[5] = Py.None; break; } int nullable = column.__getitem__(Procedure.NULLABLE).asInt(); a[6] = (nullable == DatabaseMetaData.procedureNullable) ? Py.One : Py.Zero; ((PyList) metadata).append(new PyTuple(a)); break; } } return metadata; } /** * Method createResults * * @param callableStatement * @param procedure * @param params * @return PyObject * @throws SQLException */ protected PyObject createResults(CallableStatement callableStatement, Procedure procedure, PyObject params) throws SQLException { PyList results = new PyList(); for (int i = 0, j = 0, len = procedure.columns.__len__(); i < len; i++) { PyObject obj = Py.None; PyObject column = procedure.columns.__getitem__(i); int colType = column.__getitem__(Procedure.COLUMN_TYPE).asInt(); int dataType = column.__getitem__(Procedure.DATA_TYPE).asInt(); switch (colType) { case DatabaseMetaData.procedureColumnIn: j++; break; case DatabaseMetaData.procedureColumnOut: case DatabaseMetaData.procedureColumnInOut: obj = datahandler.getPyObject(callableStatement, i + 1, dataType); params.__setitem__(j++, obj); break; case DatabaseMetaData.procedureColumnReturn: obj = datahandler.getPyObject(callableStatement, i + 1, dataType); // Oracle sends ResultSets as a return value Object rs = obj.__tojava__(ResultSet.class); if (rs == Py.NoConversion) { results.append(obj); } else { add((ResultSet) rs); } break; } } if (results.__len__() == 0) { return results; } PyList ret = new PyList(); ret.append(PyTuple.fromIterable(results)); return ret; } /** * Creates the results of a query. Iterates through the list and builds the tuple. * * @param set result set * @param skipCols set of JDBC-indexed columns to automatically set to None * @return a list of tuples of the results * @throws SQLException */ protected PyList createResults(ResultSet set, Set skipCols, PyObject metaData) throws SQLException { PyList res = new PyList(); while (set.next()) { PyObject tuple = createResult(set, skipCols, metaData); res.append(tuple); } return res; } /** * Creates the individual result row from the current ResultSet row. * * @param set result set * @param skipCols set of JDBC-indexed columns to automatically set to None * @return a tuple of the results * @throws SQLException */ protected PyTuple createResult(ResultSet set, Set skipCols, PyObject metaData) throws SQLException { int descriptionLength = metaData.__len__(); PyObject[] row = new PyObject[descriptionLength]; for (int i = 0; i < descriptionLength; i++) { if (skipCols != null && skipCols.contains(i + 1)) { row[i] = Py.None; } else { int type = ((PyInteger) metaData.__getitem__(i).__getitem__(1)).getValue(); row[i] = datahandler.getPyObject(set, i + 1, type); } } SQLWarning warning = set.getWarnings(); if (warning != null) { fireWarning(warning); } return new PyTuple(row); } protected void fireWarning(SQLWarning warning) { WarningEvent event = new WarningEvent(this, warning); for (WarningListener listener : listeners) { try { listener.warning(event); } catch (Throwable t) { // ok } } } public void addWarningListener(WarningListener listener) { this.listeners.add(listener); } public boolean removeWarningListener(WarningListener listener) { return this.listeners.remove(listener); } /* Traverseproc support for Fetch */ public int traverse(Visitproc visit, Object arg) { int retVal = visit.visit(description, arg); if (retVal != 0) { return retVal; } if (listeners != null) { for (WarningListener obj: listeners) { if (obj != null) { if (obj instanceof PyObject) { retVal = visit.visit((PyObject) obj, arg); if (retVal != 0) { return retVal; } } else if (obj instanceof Traverseproc) { retVal = ((Traverseproc) obj).traverse(visit, arg); if (retVal != 0) { return retVal; } } } } } return 0; } public boolean refersDirectlyTo(PyObject ob) throws UnsupportedOperationException { if (ob == null) { return false; } else if (ob == description) { return true; } else { throw new UnsupportedOperationException(); } } } /** * This version of fetch builds the results statically. This consumes more resources but * allows for efficient closing of database resources because the contents of the result * set are immediately consumed. It also allows for an accurate rowcount attribute, whereas * a dynamic query is unable to provide this information until all the results have been * consumed. */ class StaticFetch extends Fetch { /** * Field results */ protected List results; /** * Field descriptions */ protected List descriptions; /** * Construct a static fetch. The entire result set is iterated as it * is added and the result set is immediately closed. */ public StaticFetch(DataHandler datahandler) { super(datahandler); this.results = new LinkedList(); this.descriptions = new LinkedList(); } /** * Method add * * @param resultSet */ @Override public void add(ResultSet resultSet) { this.add(resultSet, null); } /** * Method add * * @param resultSet * @param skipCols */ @Override public void add(ResultSet resultSet, Set skipCols) { try { if (resultSet != null && resultSet.getMetaData() != null) { PyObject metadata = this.createDescription(resultSet.getMetaData()); PyObject result = this.createResults(resultSet, skipCols, metadata); this.results.add(result); this.descriptions.add(metadata); // we want the rowcount of the first result set this.rowcount = this.results.get(0).__len__(); // we want the description of the first result set this.description = this.descriptions.get(0); // set the current rownumber this.rownumber = 0; } } catch (PyException e) { throw e; } catch (Throwable e) { throw zxJDBC.makeException(e); } finally { try { resultSet.close(); } catch (Throwable e) { } } } /** * Method add * * @param callableStatement * @param procedure * @param params */ @Override public void add(CallableStatement callableStatement, Procedure procedure, PyObject params) { try { PyObject result = this.createResults(callableStatement, procedure, params); if (result.__len__() > 0) { this.results.add(result); this.descriptions.add(this.createDescription(procedure)); // we want the rowcount of the first result set this.rowcount = this.results.get(0).__len__(); // we want the description of the first result set this.description = this.descriptions.get(0); // set the current rownumber this.rownumber = 0; } } catch (PyException e) { throw e; } catch (Throwable e) { throw zxJDBC.makeException(e); } } /** * Fetch all (remaining) rows of a query result, returning them as a sequence * of sequences (e.g. a list of tuples). Note that the cursor's arraysize attribute * can affect the performance of this operation. *

* An Error (or subclass) exception is raised if the previous call to executeXXX() * did not produce any result set or no call was issued yet. * * @return a sequence of sequences from the result set, or an empty sequence when * no more data is available */ @Override public PyObject fetchall() { return fetchmany(this.rowcount); } /** * Fetch the next set of rows of a query result, returning a sequence of * sequences (e.g. a list of tuples). An empty sequence is returned when * no more rows are available. *

* The number of rows to fetch per call is specified by the parameter. If * it is not given, the cursor's arraysize determines the number of rows * to be fetched. The method should try to fetch as many rows as indicated * by the size parameter. If this is not possible due to the specified number * of rows not being available, fewer rows may be returned. *

* An Error (or subclass) exception is raised if the previous call to executeXXX() * did not produce any result set or no call was issued yet. *

* Note there are performance considerations involved with the size parameter. * For optimal performance, it is usually best to use the arraysize attribute. * If the size parameter is used, then it is best for it to retain the same value * from one fetchmany() call to the next. * * @return a sequence of sequences from the result set, or an empty sequence when * no more data is available */ @Override public PyObject fetchmany(int size) { if (results == null || results.size() == 0) { throw zxJDBC.makeException(zxJDBC.DatabaseError, "no results"); } PyObject res = new PyList(); PyObject current = results.get(0); if (size <= 0) { size = this.rowcount; } if (this.rownumber < this.rowcount) { res = current.__getslice__(Py.newInteger(this.rownumber), Py.newInteger(this.rownumber + size), Py.One); this.rownumber += size; } return res; } /** * Method scroll * * @param value * @param mode 'relative' or 'absolute' */ @Override public void scroll(int value, String mode) { int pos; if ("relative".equals(mode)) { pos = this.rownumber + value; } else if ("absolute".equals(mode)) { pos = value; } else { throw zxJDBC.makeException(zxJDBC.ProgrammingError, "invalid cursor scroll mode [" + mode + "]"); } if (pos >= 0 && pos < this.rowcount) { this.rownumber = pos; } else { throw zxJDBC.makeException(Py.IndexError, "cursor index [" + pos + "] out of range"); } } /** * Move the result pointer to the next set if available. * * @return true if more sets exist, else None */ @Override public PyObject nextset() { PyObject next = Py.None; if (results != null && results.size() > 1) { this.results.remove(0); this.descriptions.remove(0); next = this.results.get(0); this.description = this.descriptions.get(0); this.rowcount = next.__len__(); this.rownumber = 0; } return next == Py.None ? Py.None : Py.One; } /** * Remove the results. */ @Override public void close() throws SQLException { super.close(); this.rownumber = -1; this.results.clear(); } /* Traverseproc support for StaticFetch */ public int traverse(Visitproc visit, Object arg) { int retVal = super.traverse(visit, arg); if (retVal != 0) { return retVal; } if (results != null) { for (PyObject obj: results) { if (obj != null) { retVal = visit.visit((PyObject) obj, arg); if (retVal != 0) { return retVal; } } } } if (descriptions != null) { for (PyObject obj: descriptions) { if (obj != null) { retVal = visit.visit((PyObject) obj, arg); if (retVal != 0) { return retVal; } } } } return 0; } public boolean refersDirectlyTo(PyObject ob) throws UnsupportedOperationException { if (ob == null) { return false; } if (results != null && results.contains(ob)) { return true; } if (descriptions != null && descriptions.contains(ob)) { return true; } return super.refersDirectlyTo(ob); } } /** * Dynamically construct the results from an execute*(). The static version builds the entire * result set immediately upon completion of the query, however in some circumstances, this * requires far too many resources to be efficient. In this version of the fetch the resources * remain constant. The dis-advantage to this approach from an API perspective is its impossible * to generate an accurate rowcount since not all the rows have been consumed. */ class DynamicFetch extends Fetch { /** * Field skipCols */ protected Set skipCols; /** * Field resultSet */ protected ResultSet resultSet; /** * Construct a dynamic fetch. */ public DynamicFetch(DataHandler datahandler) { super(datahandler); } /** * Add the result set to the results. If more than one result * set is attempted to be added, an Error is raised since JDBC * requires that only one ResultSet be iterated for one Statement * at any one time. Since this is a dynamic iteration, it precludes * the addition of more than one result set. */ @Override public void add(ResultSet resultSet) { add(resultSet, null); } /** * Add the result set to the results. If more than one result * set is attempted to be added, an Error is raised since JDBC * requires that only one ResultSet be iterated for one Statement * at any one time. Since this is a dynamic iteration, it precludes * the addition of more than one result set. */ @Override public void add(ResultSet resultSet, Set skipCols) { if (this.resultSet != null) { throw zxJDBC.makeException(zxJDBC.getString("onlyOneResultSet")); } try { if (resultSet != null && resultSet.getMetaData() != null) { if (this.description == Py.None) { this.description = this.createDescription(resultSet.getMetaData()); } this.resultSet = resultSet; this.skipCols = skipCols; // it would be more compliant if we knew the resultSet actually // contained some rows, but since we don't make a stab at it so // everything else looks better this.rowcount = 0; this.rownumber = 0; } } catch (PyException e) { throw e; } catch (Throwable e) { throw zxJDBC.makeException(e); } } /** * Method add * * @param callableStatement * @param procedure * @param params */ @Override public void add(CallableStatement callableStatement, Procedure procedure, PyObject params) { throw zxJDBC.makeException(zxJDBC.NotSupportedError, zxJDBC.getString("nocallprocsupport")); } /** * Iterate the remaining contents of the ResultSet and return. */ @Override public PyObject fetchall() { return fetch(0, true); } /** * Iterate up to size rows remaining in the ResultSet and return. */ @Override public PyObject fetchmany(int size) { return fetch(size, false); } /** * Internal use only. If all is true, return everything * that's left in the result set, otherwise return up to size. Fewer * than size may be returned if fewer than size results are left in * the set. */ private PyObject fetch(int size, boolean all) { PyList res = new PyList(); if (this.resultSet == null) { throw zxJDBC.makeException(zxJDBC.DatabaseError, "no results"); } try { all = (size < 0) ? true : all; while ((size-- > 0 || all) && this.resultSet.next()) { PyTuple tuple = createResult(this.resultSet, this.skipCols, this.description); res.append(tuple); this.rowcount++; this.rownumber = this.resultSet.getRow(); } } catch (AbstractMethodError e) { throw zxJDBC.makeException(zxJDBC.NotSupportedError, zxJDBC.getString("nodynamiccursors")); } catch (PyException e) { throw e; } catch (Throwable e) { throw zxJDBC.makeException(e); } return res; } /** * Always returns None. */ @Override public PyObject nextset() { return Py.None; } /** * Method scroll * * @param value * @param mode */ @Override public void scroll(int value, String mode) { try { int type = this.resultSet.getType(); if (type != ResultSet.TYPE_FORWARD_ONLY || value > 0) { if ("relative".equals(mode)) { if (value < 0) { value = Math.abs(this.rownumber + value); } else if (value > 0) { value = this.rownumber + value + 1; } } else if ("absolute".equals(mode)) { if (value < 0) { throw zxJDBC.makeException(Py.IndexError, "cursor index [" + value + "] out of range"); } } else { throw zxJDBC.makeException(zxJDBC.ProgrammingError, "invalid cursor scroll mode [" + mode + "]"); } if (value == 0) { this.resultSet.beforeFirst(); } else { if (!this.resultSet.absolute(value)) { throw zxJDBC.makeException(Py.IndexError, "cursor index [" + value + "] out of range"); } } // since .rownumber is the *next* row, then the JDBC value suits us fine this.rownumber = this.resultSet.getRow(); } else { String msg = "dynamic result set of type [" + type + "] does not support scrolling"; throw zxJDBC.makeException(zxJDBC.NotSupportedError, msg); } } catch (AbstractMethodError e) { throw zxJDBC.makeException(zxJDBC.NotSupportedError, zxJDBC.getString("nodynamiccursors")); } catch (SQLException e) { throw zxJDBC.makeException(e); } catch (Throwable t) { throw zxJDBC.makeException(t); } } /** * Close the underlying ResultSet. */ @Override public void close() throws SQLException { super.close(); if (this.resultSet == null) { return; } this.rownumber = -1; try { this.resultSet.close(); } finally { this.resultSet = null; } } }





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