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# $Source$ |
# $Source$ |
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# $Id$ |
# $Id$ |
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import os |
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import weakref |
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from sqlite import connect |
from sqlite import connect |
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from base import TitledObject |
from base import TitledObject |
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self.internal_name = internal_name |
self.internal_name = internal_name |
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class TransientTableBase(table.OldTableInterfaceMixin): |
class TransientTableBase: |
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"""Base class for tables in the transient database""" |
"""Base class for tables in the transient database""" |
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""" |
""" |
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return self.column_map.has_key(col) |
return self.column_map.has_key(col) |
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def ReadRowAsDict(self, index): |
def RowIdToOrdinal(self, gid): |
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"""Return the row ordinal given its id |
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At the moment the transient tables are only used for tables that |
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don't distinguish between row number and row id, so the value is |
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returned unchanged. |
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""" |
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return gid |
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def RowOrdinalToId(self, num): |
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"""Return the rowid for given its ordinal |
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At the moment the transient tables are only used for tables that |
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don't distinguish between row number and row id, so the value is |
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returned unchanged. |
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""" |
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return num |
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def ReadRowAsDict(self, index, row_is_ordinal = 0): |
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"""Return the entire row as a dictionary with column names as keys |
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The row_is_ordinal is ignored because at the moment the |
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transient tables are only used for DBF files where it doesn't |
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matter. |
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""" |
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# Implementation Strategy: Executing a completely new select |
# Implementation Strategy: Executing a completely new select |
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# statement every time this method is called is too slow. The |
# statement every time this method is called is too slow. The |
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# most important usage is to read the records more or less |
# most important usage is to read the records more or less |
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self.read_record_last_row = index |
self.read_record_last_row = index |
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return dict(zip(self.orig_names, result)) |
return dict(zip(self.orig_names, result)) |
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def ReadValue(self, row, col): |
def ReadValue(self, row, col, row_is_ordinal = 0): |
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"""Return the value of the specified row and column |
"""Return the value of the specified row and column |
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The col parameter may be the index of the column or its name. |
The col parameter may be the index of the column or its name. |
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The row_is_ordinal is ignored because at the moment the |
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transient tables are only used for DBF files where it doesn't |
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matter. |
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""" |
""" |
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# Depending on the actual access patterns of the table data, it |
# Depending on the actual access patterns of the table data, it |
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# might be a bit faster in some circumstances to not implement |
# might be a bit faster in some circumstances to not implement |
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return self.ReadRowAsDict(row)[self.column_map[col].name] |
return self.ReadRowAsDict(row)[self.column_map[col].name] |
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def ValueRange(self, col): |
def ValueRange(self, col): |
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# Performance notes: |
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# |
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# In sqlite 2.8.6 the min and max aggregate functions can use an |
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# index but only when used as the only expression in the select |
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# statement (i.e. 'select min(col), max(col) from tbl;' will not |
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# use the index but 'select min(col) from tbl;' will) so we |
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# query the minimum and maximum separately. |
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# |
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# With the separate statements we can take advantage of an index |
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# if it exists. If the index doesn't exist, creating it first |
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# and then using it in the query is slower than the queries |
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# without an index. Creating the index is only an advantage if |
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# the queries are performed multiple times. With the current use |
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# patterns where ValueRange is only used occasionally by the |
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# classification generation dialog creating the index only for |
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# this usage is not really worth it, so we don't. |
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col = self.column_map[col] |
col = self.column_map[col] |
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iname = col.internal_name |
iname = col.internal_name |
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min, max = self.db.execute("SELECT min(%s), max(%s) FROM %s;" |
min = self.db.execute("SELECT min(%s) FROM %s;" |
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% (iname, iname, self.tablename)) |
% (iname, self.tablename))[0] |
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max = self.db.execute("SELECT max(%s) FROM %s;" |
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% (iname, self.tablename))[0] |
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converter = type_converter_map[col.type] |
converter = type_converter_map[col.type] |
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return (converter(min), converter(max)) |
return (converter(min), converter(max)) |
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def UniqueValues(self, col): |
def UniqueValues(self, col): |
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# Performance notes: |
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# |
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# In sqlite 2.8.6 there doesn't seem to be a way to query the |
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# unique items that uses an index. I've tried |
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# |
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# SELECT col FROM tbl GROUP BY col; |
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# |
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# and |
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# |
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# SELECT DISTINCT col FROM tbl; |
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# |
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# and in both cases the index is not used. If the index isn't |
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# used it doesn't make sense to call self.ensure_index. |
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iname = self.column_map[col].internal_name |
iname = self.column_map[col].internal_name |
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cursor = self.db.cursor() |
cursor = self.db.cursor() |
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cursor.execute("SELECT %s FROM %s GROUP BY %s;" |
cursor.execute("SELECT %s FROM %s GROUP BY %s;" |
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def Width(self, col): |
def Width(self, col): |
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"""Return the maximum width of values in the column |
"""Return the maximum width of values in the column |
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The return value is the the maximum length of string representation |
The return value is the the maximum length of string |
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of the values in the column (represented by index or name).""" |
representation of the values in the column (represented by index |
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or name). |
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""" |
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max = 0 |
max = 0 |
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type = self.column_map[col].type |
type = self.column_map[col].type |
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iname = self.column_map[col].internal_name |
iname = self.column_map[col].internal_name |
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cursor = self.db.cursor() |
cursor = self.db.cursor() |
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if not values: |
if not values: |
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return None |
return None |
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if type == sql_type_map[table.FIELDTYPE_DOUBLE]: |
if type == table.FIELDTYPE_DOUBLE: |
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format = "%.12f" |
format = "%.12f" |
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elif type == sql_type_map[table.FIELDTYPE_INT]: |
elif type == table.FIELDTYPE_INT: |
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format = "%d" |
format = "%d" |
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else: |
else: |
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format = "%s" |
format = "%s" |
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that the value of the left_field column the the left table is |
that the value of the left_field column the the left table is |
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equal to the value of the right_field in the right_table. |
equal to the value of the right_field in the right_table. |
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The joined table contains all columns of the input tables with |
The joined table contains all columns of the input tables, |
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one exception: Any column in the right_table with the same name |
however, the column names of the right table may be changed |
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as one of the columns in the left_table will be omitted. This is |
slightly to make them unique in the joined table. This is |
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somewhat of an implementation detail, but is done so that the |
currently done by appending a sufficient number of underscores |
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column names of the joined table can be the same as the column |
('_'). |
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names of the input tables without having to create prefixes. |
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""" |
""" |
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TransientTableBase.__init__(self, transient_db) |
TransientTableBase.__init__(self, transient_db) |
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self.dependencies = (left_table, right_table) |
self.dependencies = (left_table, right_table) |
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# column names are the same they will be mapped to the same |
# column names are the same they will be mapped to the same |
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# internal name afterwards. |
# internal name afterwards. |
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internal_left_col = self.left_table.orig_to_internal[self.left_field] |
internal_left_col = self.left_table.orig_to_internal[self.left_field] |
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internal_right_col = self.right_table.orig_to_internal[self.right_field] |
internal_right_col =self.right_table.orig_to_internal[self.right_field] |
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# Coalesce the column information |
# Coalesce the column information |
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visited = {} |
visited = {} |
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columns = [] |
columns = [] |
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newcolumns = [] |
newcolumns = [] |
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for table, col in ( |
for table in (self.left_table, self.right_table): |
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[ (self.left_table.tablename, c) for c in self.left_table.columns ] |
for col in table.Columns(): |
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+ [ (self.right_table.tablename, c) for c in self.right_table.columns]): |
colname = col.name |
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if col.name in visited: |
# We can't allow multiple columns with the same |
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if col.name == self.left_field: |
# original name, so append '_' to this one until |
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continue |
# it is unique. |
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else: |
# FIXME: There should be a better solution. |
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# We can't allow multiple columns with the same original |
while colname in visited: |
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# name, so append '_' to this one until it is unique. |
colname = colname + '_' |
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# FIXME: There should be a better solution. |
columns.append((table.tablename, col)) |
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while col.name in visited: |
newcol = ColumnReference(colname, col.type, |
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col.name = col.name + '_' |
"Col%03d" % (len(newcolumns)+1)) |
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columns.append((table, col)) |
newcolumns.append(newcol) |
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newcol = ColumnReference(col.name, col.type, |
visited[colname] = 1 |
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"Col%03d" % (len(newcolumns)+1)) |
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newcolumns.append(newcol) |
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visited[col.name] = 1 |
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TransientTableBase.create(self, newcolumns) |
TransientTableBase.create(self, newcolumns) |
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# Copy the joined data to the table. |
# Copy the joined data to the table. |
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"""Return a tuple with the two tables the join depends on.""" |
"""Return a tuple with the two tables the join depends on.""" |
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return self.dependencies |
return self.dependencies |
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def JoinType(self): |
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"""Return the type of the join (either 'INNER' or 'LEFT OUTER')""" |
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if self.outer_join: |
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return "LEFT OUTER" |
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else: |
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return "INNER" |
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class AutoTransientTable(TitledObject, table.OldTableInterfaceMixin): |
class AutoTransientTable(TitledObject): |
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"""Table that copies data to a transient table on demand. |
"""Table that copies data to a transient table on demand. |
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def NumColumns(self): |
def NumColumns(self): |
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return self.table.NumColumns() |
return self.table.NumColumns() |
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def ReadRowAsDict(self, record): |
def RowIdToOrdinal(self, gid): |
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"""Return the row ordinal given its id""" |
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if self.t_table is not None: |
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return self.t_table.RowIdToOrdinal(gid) |
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else: |
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return self.table.RowIdToOrdinal(gid) |
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def RowOrdinalToId(self, num): |
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"""Return the rowid for given its ordinal""" |
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if self.t_table is not None: |
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return self.t_table.RowOrdinalToId(num) |
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else: |
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return self.table.RowOrdinalToId(num) |
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def ReadRowAsDict(self, record, row_is_ordinal = 0): |
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"""Return the record no. record as a dict mapping field names to values |
"""Return the record no. record as a dict mapping field names to values |
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""" |
""" |
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if self.t_table is not None: |
if self.t_table is not None: |
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return self.t_table.ReadRowAsDict(record) |
return self.t_table.ReadRowAsDict(record, |
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row_is_ordinal = row_is_ordinal) |
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else: |
else: |
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return self.table.ReadRowAsDict(record) |
return self.table.ReadRowAsDict(record, |
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row_is_ordinal = row_is_ordinal) |
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def ReadValue(self, row, col): |
def ReadValue(self, row, col, row_is_ordinal = 0): |
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"""Return the value of the specified row and column |
"""Return the value of the specified row and column |
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The col parameter may be the index of the column or its name. |
The col parameter may be the index of the column or its name. |
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""" |
""" |
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if self.t_table is not None: |
if self.t_table is not None: |
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return self.t_table.ReadValue(row, col) |
return self.t_table.ReadValue(row, col, |
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row_is_ordinal = row_is_ordinal) |
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else: |
else: |
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return self.table.ReadValue(row, col) |
return self.table.ReadValue(row, col, |
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row_is_ordinal = row_is_ordinal) |
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def copy_to_transient(self): |
def copy_to_transient(self): |
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"""Internal: Create a transient table and copy the data into it""" |
"""Internal: Create a transient table and copy the data into it""" |
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return self.t_table |
return self.t_table |
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def ValueRange(self, col): |
def ValueRange(self, col): |
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if self.t_table is None: |
# Performance of sqlite vs. DBF for this method: |
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self.copy_to_transient() |
# |
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return self.t_table.ValueRange(col) |
# If the table has been copied to the sqlite database it's |
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# faster to use it even if there is no index on that column. |
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# Otherwise it's faster to simply loop through all rows in the |
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# DBF file. Copying the data to the sqlite database can take |
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# very long for large amounts of data |
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# |
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# Of course if the table is not a DBF file the issue could be |
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# different, although copying the data into sqlite first will |
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# likely always be slower than simply querying the non-sqlite |
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# table directly. Currently only DBFfiles and memory tables are |
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# used as the underlying non-sqlite table, though. |
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if self.t_table is not None: |
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return self.t_table.ValueRange(col) |
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else: |
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return self.table.ValueRange(col) |
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def UniqueValues(self, col): |
def UniqueValues(self, col): |
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if self.t_table is None: |
# The performance trade-offs for this method are basically the |
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self.copy_to_transient() |
# same as for ValueRange except that currently there doesn't |
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return self.t_table.UniqueValues(col) |
# seem to be a way to take advantage of indexes in this case in |
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# sqlite. However, but it's still faster to query the transient |
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# table if it already exists. |
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if self.t_table is not None: |
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return self.t_table.UniqueValues(col) |
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else: |
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return self.table.UniqueValues(col) |
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def SimpleQuery(self, left, comparison, right): |
def SimpleQuery(self, left, comparison, right): |
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if self.t_table is None: |
if self.t_table is None: |
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def Width(self, col): |
def Width(self, col): |
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return self.table.Width(col) |
return self.table.Width(col) |
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def write_record(self, row, values): |
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"""Write the values to the given row. |
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This is a very experimental feature which doesn't work in all |
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cases, so you better know what you're doing when calling this |
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method. |
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""" |
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self.table.write_record(row, values) |