18 |
# $Source$ |
# $Source$ |
19 |
# $Id$ |
# $Id$ |
20 |
|
|
|
import os |
|
|
import weakref |
|
21 |
from sqlite import connect |
from sqlite import connect |
22 |
|
|
23 |
|
from base import TitledObject |
24 |
|
|
25 |
import table |
import table |
26 |
|
|
27 |
sql_type_map = { |
sql_type_map = { |
85 |
self.internal_name = internal_name |
self.internal_name = internal_name |
86 |
|
|
87 |
|
|
88 |
class TransientTableBase: |
class TransientTableBase(table.OldTableInterfaceMixin): |
89 |
|
|
90 |
"""Base class for tables in the transient database""" |
"""Base class for tables in the transient database""" |
91 |
|
|
96 |
self.indexed_columns = {} |
self.indexed_columns = {} |
97 |
self.read_record_cursor = None |
self.read_record_cursor = None |
98 |
self.read_record_last_row = None |
self.read_record_last_row = None |
99 |
|
self.read_record_last_result = None |
100 |
|
|
101 |
def create(self, columns): |
def create(self, columns): |
102 |
self.columns = columns |
self.columns = columns |
104 |
self.orig_names = [] |
self.orig_names = [] |
105 |
self.internal_to_orig = {} |
self.internal_to_orig = {} |
106 |
self.orig_to_internal = {} |
self.orig_to_internal = {} |
107 |
|
self.column_map = {} |
108 |
|
|
109 |
# Create the column objects and fill various maps and lists |
# Create the column objects and fill various maps and lists |
110 |
for col in self.columns: |
for index in range(len(self.columns)): |
111 |
|
col = self.columns[index] |
112 |
self.name_to_column[col.name] = col |
self.name_to_column[col.name] = col |
113 |
self.orig_names.append(col.name) |
self.orig_names.append(col.name) |
114 |
self.internal_to_orig[col.internal_name] = col.name |
self.internal_to_orig[col.internal_name] = col.name |
115 |
self.orig_to_internal[col.name] = col.internal_name |
self.orig_to_internal[col.name] = col.internal_name |
116 |
|
self.column_map[col.name] = col |
117 |
|
self.column_map[index] = col |
118 |
|
|
119 |
# Build the CREATE TABLE statement and create the table in the |
# Build the CREATE TABLE statement and create the table in the |
120 |
# database |
# database |
121 |
table_types = [] |
table_types = ["id INTEGER PRIMARY KEY"] |
122 |
for col in self.columns: |
for col in self.columns: |
123 |
table_types.append("%s %s" % (col.internal_name, |
table_types.append("%s %s" % (col.internal_name, |
124 |
sql_type_map[col.type])) |
sql_type_map[col.type])) |
142 |
self.db.execute(stmt) |
self.db.execute(stmt) |
143 |
self.indexed_columns[column] = 1 |
self.indexed_columns[column] = 1 |
144 |
|
|
145 |
def field_count(self): |
def NumColumns(self): |
146 |
return len(self.columns) |
return len(self.columns) |
147 |
|
|
148 |
def field_info(self, i): |
def NumRows(self): |
|
col = self.columns[i] |
|
|
return col.type, col.name, 0, 0 |
|
|
|
|
|
def field_info_by_name(self, name): |
|
|
for col in self.columns: |
|
|
if col.name == name: |
|
|
return col.type, col.name, 0, 0 |
|
|
else: |
|
|
return None |
|
|
|
|
|
def record_count(self): |
|
149 |
result = self.db.execute("SELECT count(*) FROM %s;" % self.tablename) |
result = self.db.execute("SELECT count(*) FROM %s;" % self.tablename) |
150 |
return int(result[0]) |
return int(result[0]) |
151 |
|
|
152 |
def read_record(self, index): |
def Columns(self): |
153 |
|
return self.columns |
154 |
|
|
155 |
|
def Column(self, col): |
156 |
|
return self.column_map[col] |
157 |
|
|
158 |
|
def HasColumn(self, col): |
159 |
|
"""Return whether the table has a column with the given name or index |
160 |
|
""" |
161 |
|
return self.column_map.has_key(col) |
162 |
|
|
163 |
|
def RowIdToOrdinal(self, gid): |
164 |
|
"""Return the row ordinal given its id |
165 |
|
|
166 |
|
At the moment the transient tables are only used for tables that |
167 |
|
don't distinguish between row number and row id, so the value is |
168 |
|
returned unchanged. |
169 |
|
""" |
170 |
|
return gid |
171 |
|
|
172 |
|
def RowOrdinalToId(self, num): |
173 |
|
"""Return the rowid for given its ordinal |
174 |
|
|
175 |
|
At the moment the transient tables are only used for tables that |
176 |
|
don't distinguish between row number and row id, so the value is |
177 |
|
returned unchanged. |
178 |
|
""" |
179 |
|
return num |
180 |
|
|
181 |
|
def ReadRowAsDict(self, index, row_is_ordinal = 0): |
182 |
|
"""Return the entire row as a dictionary with column names as keys |
183 |
|
|
184 |
|
The row_is_ordinal is ignored because at the moment the |
185 |
|
transient tables are only used for DBF files where it doesn't |
186 |
|
matter. |
187 |
|
""" |
188 |
|
# Implementation Strategy: Executing a completely new select |
189 |
|
# statement every time this method is called is too slow. The |
190 |
|
# most important usage is to read the records more or less |
191 |
|
# sequentially. This happens e.g. when drawing a layer with a |
192 |
|
# classification where the shapes are drawn in order of the |
193 |
|
# shape ids. Another pattern is that the same row is requested |
194 |
|
# several times in a row. This happens in the table view, for |
195 |
|
# instance. |
196 |
|
|
197 |
|
# We can exploit this to make access faster by having one cursor |
198 |
|
# open all the time and keeping the last row read around in case |
199 |
|
# the same row is accessed again the next time and if the row |
200 |
|
# index is larger than the row we have read last we simply fetch |
201 |
|
# rows from the cursor until we've reached the requested row. If |
202 |
|
# the requested row index is smaller then we start a new cursor. |
203 |
|
|
204 |
|
# FIXME: So far this scheme seems to work well enough. Obvious |
205 |
|
# improvements would be to start the cursor at exactly the |
206 |
|
# requested row (should be efficient and easy to do now that the |
207 |
|
# id is the primary key) and to perhaps to also start a new |
208 |
|
# cursor if the requested index is much larger than the last row |
209 |
|
# so that we don't read and discard lots of the rows. |
210 |
|
|
211 |
|
# Check whether we have to start a new cursor |
212 |
if self.read_record_cursor is None or index <self.read_record_last_row: |
if self.read_record_cursor is None or index <self.read_record_last_row: |
213 |
stmt = ("SELECT %s FROM %s;" |
stmt = ("SELECT %s FROM %s;" |
214 |
% (", ".join([c.internal_name for c in self.columns]), |
% (", ".join([c.internal_name for c in self.columns]), |
216 |
self.read_record_cursor = self.db.cursor() |
self.read_record_cursor = self.db.cursor() |
217 |
self.read_record_cursor.execute(stmt) |
self.read_record_cursor.execute(stmt) |
218 |
self.read_record_last_row = -1 |
self.read_record_last_row = -1 |
219 |
for i in range(index - self.read_record_last_row): |
self.read_record_last_result = None |
220 |
result = self.read_record_cursor.fetchone() |
|
221 |
|
# Now we should have a cursor at a position less than or equal |
222 |
|
# to the index so the following if statement will always set |
223 |
|
# result to a suitable value |
224 |
|
assert index >= self.read_record_last_row |
225 |
|
|
226 |
|
if index == self.read_record_last_row: |
227 |
|
result = self.read_record_last_result |
228 |
|
else: |
229 |
|
for i in range(index - self.read_record_last_row): |
230 |
|
result = self.read_record_cursor.fetchone() |
231 |
|
self.read_record_last_result = result |
232 |
self.read_record_last_row = index |
self.read_record_last_row = index |
233 |
result = dict(zip(self.orig_names, result)) |
return dict(zip(self.orig_names, result)) |
234 |
return result |
|
235 |
|
def ReadValue(self, row, col, row_is_ordinal = 0): |
236 |
|
"""Return the value of the specified row and column |
237 |
|
|
238 |
def field_range(self, colname): |
The col parameter may be the index of the column or its name. |
239 |
col = self.name_to_column[colname] |
|
240 |
|
The row_is_ordinal is ignored because at the moment the |
241 |
|
transient tables are only used for DBF files where it doesn't |
242 |
|
matter. |
243 |
|
""" |
244 |
|
# Depending on the actual access patterns of the table data, it |
245 |
|
# might be a bit faster in some circumstances to not implement |
246 |
|
# this via ReadRowAsDict, but this simple implementation should |
247 |
|
# be fast enough for most purposes. |
248 |
|
return self.ReadRowAsDict(row)[self.column_map[col].name] |
249 |
|
|
250 |
|
def ValueRange(self, col): |
251 |
|
# Performance notes: |
252 |
|
# |
253 |
|
# In sqlite 2.8.6 the min and max aggregate functions can use an |
254 |
|
# index but only when used as the only expression in the select |
255 |
|
# statement (i.e. 'select min(col), max(col) from tbl;' will not |
256 |
|
# use the index but 'select min(col) from tbl;' will) so we |
257 |
|
# query the minimum and maximum separately. |
258 |
|
# |
259 |
|
# With the separate statements we can take advantage of an index |
260 |
|
# if it exists. If the index doesn't exist, creating it first |
261 |
|
# and then using it in the query is slower than the queries |
262 |
|
# without an index. Creating the index is only an advantage if |
263 |
|
# the queries are performed multiple times. With the current use |
264 |
|
# patterns where ValueRange is only used occasionally by the |
265 |
|
# classification generation dialog creating the index only for |
266 |
|
# this usage is not really worth it, so we don't. |
267 |
|
col = self.column_map[col] |
268 |
iname = col.internal_name |
iname = col.internal_name |
269 |
min, max = self.db.execute("SELECT min(%s), max(%s) FROM %s;" |
min = self.db.execute("SELECT min(%s) FROM %s;" |
270 |
% (iname, iname, self.tablename)) |
% (iname, self.tablename))[0] |
271 |
|
max = self.db.execute("SELECT max(%s) FROM %s;" |
272 |
|
% (iname, self.tablename))[0] |
273 |
converter = type_converter_map[col.type] |
converter = type_converter_map[col.type] |
274 |
return ((converter(min), None), (converter(max), None)) |
return (converter(min), converter(max)) |
275 |
|
|
276 |
def GetUniqueValues(self, colname): |
def UniqueValues(self, col): |
277 |
iname = self.orig_to_internal[colname] |
# Performance notes: |
278 |
|
# |
279 |
|
# In sqlite 2.8.6 there doesn't seem to be a way to query the |
280 |
|
# unique items that uses an index. I've tried |
281 |
|
# |
282 |
|
# SELECT col FROM tbl GROUP BY col; |
283 |
|
# |
284 |
|
# and |
285 |
|
# |
286 |
|
# SELECT DISTINCT col FROM tbl; |
287 |
|
# |
288 |
|
# and in both cases the index is not used. If the index isn't |
289 |
|
# used it doesn't make sense to call self.ensure_index. |
290 |
|
iname = self.column_map[col].internal_name |
291 |
cursor = self.db.cursor() |
cursor = self.db.cursor() |
292 |
cursor.execute("SELECT %s FROM %s GROUP BY %s;" |
cursor.execute("SELECT %s FROM %s GROUP BY %s;" |
293 |
% (iname, self.tablename, iname)) |
% (iname, self.tablename, iname)) |
299 |
result.append(row[0]) |
result.append(row[0]) |
300 |
return result |
return result |
301 |
|
|
302 |
|
def Width(self, col): |
303 |
|
"""Return the maximum width of values in the column |
304 |
|
|
305 |
|
The return value is the the maximum length of string |
306 |
|
representation of the values in the column (represented by index |
307 |
|
or name). |
308 |
|
""" |
309 |
|
max = 0 |
310 |
|
|
311 |
|
type = self.column_map[col].type |
312 |
|
iname = self.column_map[col].internal_name |
313 |
|
cursor = self.db.cursor() |
314 |
|
cursor.execute("SELECT %s FROM %s;" % (iname, self.tablename)) |
315 |
|
values = [ i[0] for i in cursor.fetchall()] |
316 |
|
if not values: |
317 |
|
return None |
318 |
|
|
319 |
|
if type == table.FIELDTYPE_DOUBLE: |
320 |
|
format = "%.12f" |
321 |
|
elif type == table.FIELDTYPE_INT: |
322 |
|
format = "%d" |
323 |
|
else: |
324 |
|
format = "%s" |
325 |
|
for value in values: |
326 |
|
if value is None: continue |
327 |
|
l = len(format % value) |
328 |
|
if l > max: |
329 |
|
max = l |
330 |
|
|
331 |
|
return max |
332 |
|
|
333 |
|
def SimpleQuery(self, left, comparison, right): |
334 |
|
"""Return the indices of all rows that matching a condition. |
335 |
|
|
336 |
|
Parameters: |
337 |
|
left -- The column object for the left side of the comparison |
338 |
|
|
339 |
|
comparison -- The comparison operator as a string. It must be |
340 |
|
one of '==', '!=', '<', '<=', '>=', '>' |
341 |
|
|
342 |
|
right -- The right hand side of the comparison. It must be |
343 |
|
either a column object or a value, i.e. a string, |
344 |
|
int or float. |
345 |
|
|
346 |
|
The return value is a sorted list of the indices of the rows |
347 |
|
where the condition is true. |
348 |
|
""" |
349 |
|
if comparison not in ("==", "!=", "<", "<=", ">=", ">"): |
350 |
|
raise ValueError("Comparison operator %r not allowed" % comparison) |
351 |
|
|
352 |
|
if hasattr(right, "internal_name"): |
353 |
|
right_template = right.internal_name |
354 |
|
params = () |
355 |
|
else: |
356 |
|
right_template = "%s" |
357 |
|
params = (right,) |
358 |
|
|
359 |
|
query = "SELECT id FROM %s WHERE %s %s %s ORDER BY id;" \ |
360 |
|
% (self.tablename, left.internal_name, comparison, |
361 |
|
right_template) |
362 |
|
|
363 |
|
cursor = self.db.cursor() |
364 |
|
cursor.execute(query, params) |
365 |
|
result = [] |
366 |
|
while 1: |
367 |
|
row = cursor.fetchone() |
368 |
|
if row is None: |
369 |
|
break |
370 |
|
result.append(row[0]) |
371 |
|
return result |
372 |
|
|
373 |
|
def Dependencies(self): |
374 |
|
"""Placeholder for a method in a derived class. |
375 |
|
|
376 |
class TransientTable(TransientTableBase): |
Return a sequence with the tables and other data objects that |
377 |
|
self depends on. |
378 |
|
""" |
379 |
|
raise NotImplementedError |
380 |
|
|
381 |
|
|
382 |
|
class TransientTable(TitledObject, TransientTableBase): |
383 |
|
|
384 |
"""A Table in a transient DB that starts as the copy of a Thuban Table.""" |
"""A Table in a transient DB that starts as the copy of a Thuban Table.""" |
385 |
|
|
390 |
interface. |
interface. |
391 |
""" |
""" |
392 |
TransientTableBase.__init__(self, transient_db) |
TransientTableBase.__init__(self, transient_db) |
393 |
|
TitledObject.__init__(self, table.Title()) |
394 |
self.create(table) |
self.create(table) |
395 |
|
|
396 |
def create(self, table): |
def create(self, table): |
397 |
columns = [] |
columns = [] |
398 |
for i in range(table.field_count()): |
for col in table.Columns(): |
399 |
type, name = table.field_info(i)[:2] |
columns.append(ColumnReference(col.name, col.type, |
|
columns.append(ColumnReference(name, type, |
|
400 |
self.db.new_column_name())) |
self.db.new_column_name())) |
401 |
TransientTableBase.create(self, columns) |
TransientTableBase.create(self, columns) |
402 |
|
|
403 |
# copy the input table to the transient db |
# copy the input table to the transient db |
404 |
insert_template = "INSERT INTO %s (%s) VALUES (%s);" \ |
|
405 |
|
# A key to insert to use for the formatting of the insert |
406 |
|
# statement. The key must not be equal to any of the column |
407 |
|
# names so we construct one by building a string of x's that is |
408 |
|
# longer than any of the column names |
409 |
|
id_key = max([len(col.name) for col in self.columns]) * "x" |
410 |
|
|
411 |
|
insert_template = "INSERT INTO %s (id, %s) VALUES (%%(%s)s, %s);" \ |
412 |
% (self.tablename, |
% (self.tablename, |
413 |
", ".join([col.internal_name |
", ".join([col.internal_name |
414 |
for col in self.columns]), |
for col in self.columns]), |
415 |
|
id_key, |
416 |
", ".join(["%%(%s)s" % col.name |
", ".join(["%%(%s)s" % col.name |
417 |
for col in self.columns])) |
for col in self.columns])) |
418 |
cursor = self.db.cursor() |
cursor = self.db.cursor() |
419 |
for i in range(table.record_count()): |
for i in range(table.NumRows()): |
420 |
cursor.execute(insert_template, table.read_record(i)) |
row = table.ReadRowAsDict(i) |
421 |
|
row[id_key] = i |
422 |
|
cursor.execute(insert_template, row) |
423 |
self.db.conn.commit() |
self.db.conn.commit() |
424 |
|
|
425 |
|
|
426 |
|
|
427 |
class TransientJoinedTable(TransientTableBase): |
class TransientJoinedTable(TitledObject, TransientTableBase): |
428 |
|
|
429 |
"""A Table in the transient DB that contains a join of two tables""" |
"""A Table in the transient DB that contains a join of two tables""" |
430 |
|
|
431 |
def __init__(self, transient_db, left_table, left_field, |
def __init__(self, transient_db, left_table, left_field, |
432 |
right_table, right_field = None): |
right_table, right_field = None, outer_join = False): |
433 |
"""Create a new table in the transient DB as a join of two tables. |
"""Create a new table in the transient DB as a join of two tables. |
434 |
|
|
435 |
Both input tables, left_table and right_table must have a |
Both input tables, left_table and right_table must have a |
436 |
transient_table method that returns a table object for a table |
transient_table method that returns a table object for a table |
437 |
in the trnsient database. The join is performed on the condition |
in the transient database. The join is performed on the condition |
438 |
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 |
439 |
equal to the value of the right_field in the right_table. |
equal to the value of the right_field in the right_table. |
440 |
|
|
441 |
The joined table contains all columns of the input tables with |
The joined table contains all columns of the input tables, |
442 |
one exception: Any column in the right_table with the same name |
however, the column names of the right table may be changed |
443 |
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 |
444 |
somewhat of an implementation detail, but is done so that the |
currently done by appending a sufficient number of underscores |
445 |
column names of the joined table can be the same as the column |
('_'). |
|
names of the input tables without having to create prefixes. |
|
446 |
""" |
""" |
447 |
TransientTableBase.__init__(self, transient_db) |
TransientTableBase.__init__(self, transient_db) |
448 |
|
self.dependencies = (left_table, right_table) |
449 |
self.left_table = left_table.transient_table() |
self.left_table = left_table.transient_table() |
450 |
self.left_field = left_field |
self.left_field = left_field |
451 |
self.right_table = right_table.transient_table() |
self.right_table = right_table.transient_table() |
453 |
self.right_field = right_field |
self.right_field = right_field |
454 |
else: |
else: |
455 |
self.right_field = self.left_field |
self.right_field = self.left_field |
456 |
|
self.outer_join = outer_join |
457 |
|
|
458 |
|
title = "Join of %(left)s and %(right)s" \ |
459 |
|
% {"left": self.left_table.Title(), |
460 |
|
"right": self.right_table.Title()} |
461 |
|
TitledObject.__init__(self, title) |
462 |
|
|
463 |
self.create() |
self.create() |
464 |
|
|
465 |
def create(self): |
def create(self): |
468 |
|
|
469 |
self.right_table.ensure_index(self.right_field) |
self.right_table.ensure_index(self.right_field) |
470 |
|
|
471 |
|
# determine the internal column names to join on before |
472 |
|
# coalescing the column information because if the external |
473 |
|
# column names are the same they will be mapped to the same |
474 |
|
# internal name afterwards. |
475 |
|
internal_left_col = self.left_table.orig_to_internal[self.left_field] |
476 |
|
internal_right_col =self.right_table.orig_to_internal[self.right_field] |
477 |
|
|
478 |
# Coalesce the column information |
# Coalesce the column information |
479 |
visited = {} |
visited = {} |
480 |
columns = [] |
columns = [] |
481 |
for col in self.left_table.columns + self.right_table.columns: |
newcolumns = [] |
482 |
if col.name in visited: |
for table in (self.left_table, self.right_table): |
483 |
continue |
for col in table.Columns(): |
484 |
columns.append(col) |
colname = col.name |
485 |
TransientTableBase.create(self, columns) |
# We can't allow multiple columns with the same |
486 |
|
# original name, so append '_' to this one until |
487 |
|
# it is unique. |
488 |
|
# FIXME: There should be a better solution. |
489 |
|
while colname in visited: |
490 |
|
colname = colname + '_' |
491 |
|
columns.append((table.tablename, col)) |
492 |
|
newcol = ColumnReference(colname, col.type, |
493 |
|
"Col%03d" % (len(newcolumns)+1)) |
494 |
|
newcolumns.append(newcol) |
495 |
|
visited[colname] = 1 |
496 |
|
TransientTableBase.create(self, newcolumns) |
497 |
|
|
498 |
# Copy the joined data to the table. |
# Copy the joined data to the table. |
499 |
internal_names = [col.internal_name for col in self.columns] |
newinternal_names = [col.internal_name for col in self.columns] |
500 |
stmt = "INSERT INTO %s (%s) SELECT %s FROM %s JOIN %s ON %s = %s;" \ |
internal_references = ["%s.%s" % (table, col.internal_name) |
501 |
% (self.tablename, |
for table, col in columns] |
502 |
", ".join(internal_names), |
if self.outer_join: |
503 |
", ".join(internal_names), |
join_operator = 'LEFT OUTER JOIN' |
504 |
self.left_table.tablename, |
else: |
505 |
self.right_table.tablename, |
join_operator = 'JOIN' |
506 |
self.orig_to_internal[self.left_field], |
stmt = ("INSERT INTO %s (id, %s) SELECT %s.id, %s FROM %s" |
507 |
self.orig_to_internal[self.right_field]) |
" %s %s ON %s.%s = %s.%s;" |
508 |
|
% (self.tablename, |
509 |
|
", ".join(newinternal_names), |
510 |
|
self.left_table.tablename, |
511 |
|
", ".join(internal_references), |
512 |
|
self.left_table.tablename, |
513 |
|
join_operator, |
514 |
|
self.right_table.tablename, |
515 |
|
self.left_table.tablename, |
516 |
|
internal_left_col, |
517 |
|
self.right_table.tablename, |
518 |
|
internal_right_col)) |
519 |
self.db.execute(stmt) |
self.db.execute(stmt) |
520 |
|
|
521 |
|
def Dependencies(self): |
522 |
|
"""Return a tuple with the two tables the join depends on.""" |
523 |
|
return self.dependencies |
524 |
|
|
525 |
|
def JoinType(self): |
526 |
|
"""Return the type of the join (either 'INNER' or 'LEFT OUTER')""" |
527 |
|
if self.outer_join: |
528 |
|
return "LEFT OUTER" |
529 |
|
else: |
530 |
|
return "INNER" |
531 |
|
|
532 |
class AutoTransientTable: |
|
533 |
|
class AutoTransientTable(TitledObject, table.OldTableInterfaceMixin): |
534 |
|
|
535 |
"""Table that copies data to a transient table on demand. |
"""Table that copies data to a transient table on demand. |
536 |
|
|
539 |
""" |
""" |
540 |
|
|
541 |
def __init__(self, transient_db, table): |
def __init__(self, transient_db, table): |
542 |
|
TitledObject.__init__(self, table.Title()) |
543 |
self.transient_db = transient_db |
self.transient_db = transient_db |
544 |
self.table = table |
self.table = table |
545 |
self.t_table = None |
self.t_table = None |
546 |
|
|
547 |
def record_count(self): |
def Columns(self): |
548 |
"""Return the number of records""" |
return self.table.Columns() |
549 |
return self.table.record_count() |
|
550 |
|
def Column(self, col): |
551 |
def field_count(self): |
return self.table.Column(col) |
552 |
"""Return the number of fields in a record""" |
|
553 |
return self.table.field_count() |
def HasColumn(self, col): |
554 |
|
"""Return whether the table has a column with the given name or index |
555 |
def field_info(self, field): |
""" |
556 |
"""Return a tuple (type, name, width, prec) for the field no. field |
return self.table.HasColumn(col) |
557 |
|
|
558 |
type is the data type of the field, name the name, width the |
def NumRows(self): |
559 |
field width in characters and prec the decimal precision. |
return self.table.NumRows() |
|
""" |
|
|
info = self.table.field_info(field) |
|
|
if info: |
|
|
info = info[:2] + (0, 0) |
|
|
return info |
|
|
|
|
|
def field_info_by_name(self, fieldName): |
|
|
info = self.table.field_info_by_name(fieldName) |
|
|
if info: |
|
|
info = info[:2] + (0, 0) |
|
|
return info |
|
560 |
|
|
561 |
def read_record(self, record): |
def NumColumns(self): |
562 |
|
return self.table.NumColumns() |
563 |
|
|
564 |
|
def RowIdToOrdinal(self, gid): |
565 |
|
"""Return the row ordinal given its id""" |
566 |
|
if self.t_table is not None: |
567 |
|
return self.t_table.RowIdToOrdinal(gid) |
568 |
|
else: |
569 |
|
return self.table.RowIdToOrdinal(gid) |
570 |
|
|
571 |
|
def RowOrdinalToId(self, num): |
572 |
|
"""Return the rowid for given its ordinal""" |
573 |
|
if self.t_table is not None: |
574 |
|
return self.t_table.RowOrdinalToId(num) |
575 |
|
else: |
576 |
|
return self.table.RowOrdinalToId(num) |
577 |
|
|
578 |
|
def ReadRowAsDict(self, record, row_is_ordinal = 0): |
579 |
"""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 |
580 |
""" |
""" |
581 |
if self.t_table is not None: |
if self.t_table is not None: |
582 |
return self.t_table.read_record(record) |
return self.t_table.ReadRowAsDict(record, |
583 |
|
row_is_ordinal = row_is_ordinal) |
584 |
else: |
else: |
585 |
return self.table.read_record(record) |
return self.table.ReadRowAsDict(record, |
586 |
|
row_is_ordinal = row_is_ordinal) |
587 |
|
|
588 |
def write_record(self, record, values): |
def ReadValue(self, row, col, row_is_ordinal = 0): |
589 |
raise NotImplementedError |
"""Return the value of the specified row and column |
590 |
|
|
591 |
|
The col parameter may be the index of the column or its name. |
592 |
|
""" |
593 |
|
if self.t_table is not None: |
594 |
|
return self.t_table.ReadValue(row, col, |
595 |
|
row_is_ordinal = row_is_ordinal) |
596 |
|
else: |
597 |
|
return self.table.ReadValue(row, col, |
598 |
|
row_is_ordinal = row_is_ordinal) |
599 |
|
|
600 |
def copy_to_transient(self): |
def copy_to_transient(self): |
601 |
"""Internal: Create a transient table and copy the data into it""" |
"""Internal: Create a transient table and copy the data into it""" |
609 |
self.copy_to_transient() |
self.copy_to_transient() |
610 |
return self.t_table |
return self.t_table |
611 |
|
|
612 |
def field_range(self, colname): |
def ValueRange(self, col): |
613 |
if self.t_table is None: |
# Performance of sqlite vs. DBF for this method: |
614 |
self.copy_to_transient() |
# |
615 |
return self.t_table.field_range(colname) |
# If the table has been copied to the sqlite database it's |
616 |
|
# faster to use it even if there is no index on that column. |
617 |
|
# Otherwise it's faster to simply loop through all rows in the |
618 |
|
# DBF file. Copying the data to the sqlite database can take |
619 |
|
# very long for large amounts of data |
620 |
|
# |
621 |
|
# Of course if the table is not a DBF file the issue could be |
622 |
|
# different, although copying the data into sqlite first will |
623 |
|
# likely always be slower than simply querying the non-sqlite |
624 |
|
# table directly. Currently only DBFfiles and memory tables are |
625 |
|
# used as the underlying non-sqlite table, though. |
626 |
|
if self.t_table is not None: |
627 |
|
return self.t_table.ValueRange(col) |
628 |
|
else: |
629 |
|
return self.table.ValueRange(col) |
630 |
|
|
631 |
def GetUniqueValues(self, colname): |
def UniqueValues(self, col): |
632 |
|
# The performance trade-offs for this method are basically the |
633 |
|
# same as for ValueRange except that currently there doesn't |
634 |
|
# seem to be a way to take advantage of indexes in this case in |
635 |
|
# sqlite. However, but it's still faster to query the transient |
636 |
|
# table if it already exists. |
637 |
|
if self.t_table is not None: |
638 |
|
return self.t_table.UniqueValues(col) |
639 |
|
else: |
640 |
|
return self.table.UniqueValues(col) |
641 |
|
|
642 |
|
def SimpleQuery(self, left, comparison, right): |
643 |
if self.t_table is None: |
if self.t_table is None: |
644 |
self.copy_to_transient() |
self.copy_to_transient() |
645 |
return self.t_table.GetUniqueValues(colname) |
# Make sure to use the column object of the transient table. The |
646 |
|
# left argument is always a column object so we can just ask the |
647 |
|
# t_table for the right object. |
648 |
|
if hasattr(right, "name"): |
649 |
|
return self.t_table.SimpleQuery(self.t_table.Column(left.name), |
650 |
|
comparison, |
651 |
|
self.t_table.Column(right.name)) |
652 |
|
else: |
653 |
|
return self.t_table.SimpleQuery(self.t_table.Column(left.name), |
654 |
|
comparison, right) |
655 |
|
|
656 |
|
def Dependencies(self): |
657 |
|
"""Return a tuple containing the original table""" |
658 |
|
return (self.table,) |
659 |
|
|
660 |
|
def Width(self, col): |
661 |
|
return self.table.Width(col) |