1 files changed, 0 insertions, 60 deletions
diff --git a/sqlplain/tests/test_million.py b/sqlplain/tests/test_million.py
deleted file mode 100644
index bd47a7d..0000000
--- a/sqlplain/tests/test_million.py
+++ /dev/null
@@ -1,60 +0,0 @@
-"""
-A test script to investigate the performance of load_file.
-"""
-
-from __future__ import with_statement
-import os, sys, csv, tempfile
-from random import random
-from datetime import date, timedelta
-from sqlplain import do, util, table
-from sqlplain.recipes import Clock
-
-create_price_table = do('''
-CREATE TABLE price(
-code CHAR(4),
-date DATE,
-price FLOAT,
-PRIMARY KEY (code, date)
-)
-''')
-
-clock = Clock(lambda et: sys.stdout.write('Elapsed time: %s\n' % et))
-
-def makedatafile(ncodes, ndates):
-    "Create a big datafile with ncodes * ndates rows; return the file name"
-    tmp, fname = tempfile.mkstemp()
-    today = date.today()
-    for i in range(ncodes):
-        for j in range(ndates):
-            code = '%04d' % i
-            day = today - timedelta(j)
-            value = 1 + random()
-            os.write(tmp, '%s,%s,%s\n' % (code, day, value))
-    os.close(tmp)
-    os.chmod(fname, 0755)
-    return fname
-
-def makedb(uri):
-    global fname
-    db = util.create_db(uri, force=True)
-    create_price_table(db)
-    fname = makedatafile(100, 100)
-    print 'Created datafile %s' % fname
-    return db
-
-def test():
-    db = makedb('sqlite_test')
-    price = table.DTable.reflect(db, 'price')
-    with clock:
-        # 104 seconds for 100,000 rows on my MacBook
-        for r in csv.reader(file(fname)):
-            price.insert_row(r)
-        yield lambda x:x, 'insert_row'
-    price.truncate()
-    with clock:
-        # 2.4 seconds for 100,000 rows on my MacBook
-        price.load_file(fname, sep=',')
-    yield lambda x:x, 'load_file'
-    
-def teardown():
-    os.remove(fname)