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Fix for too many SQL variables, closes #50
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2 changed files with 44 additions and 1 deletions
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@ -848,7 +848,14 @@ class Table:
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), "Use either ignore=True or upsert=True, not both"
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all_columns = None
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first = True
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for chunk in chunks(records, batch_size):
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# We can only handle a max of 999 variables in a SQL insert, so
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# we need to adjust the batch_size down if we have too many cols
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records = iter(records)
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# Peek at first record to count its columns:
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first_record = next(records)
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num_columns = len(first_record.keys())
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batch_size = max(1, min(batch_size, 999 // num_columns))
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for chunk in chunks(itertools.chain([first_record], records), batch_size):
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chunk = list(chunk)
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if first:
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if not self.exists:
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@ -500,6 +500,42 @@ def test_upsert_rows_alter_table(fresh_db, use_table_factory):
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] == list(table.rows)
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def test_bulk_insert_more_than_999_values(fresh_db):
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"Inserting 100 items with 11 columns should work"
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fresh_db["big"].insert_all(
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(
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{
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"id": i + 1,
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"c2": 2,
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"c3": 3,
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"c4": 4,
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"c5": 5,
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"c6": 6,
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"c7": 7,
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"c8": 8,
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"c8": 9,
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"c10": 10,
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"c11": 11,
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}
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for i in range(100)
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),
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pk="id",
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)
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assert 100 == fresh_db["big"].count
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@pytest.mark.parametrize(
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"num_columns,should_error", ((900, False), (999, False), (1000, True))
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)
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def test_error_if_more_than_999_columns(fresh_db, num_columns, should_error):
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record = dict([("c{}".format(i), i) for i in range(num_columns)])
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if should_error:
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with pytest.raises(Exception):
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fresh_db["big"].insert(record)
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else:
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fresh_db["big"].insert(record)
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@pytest.mark.parametrize(
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"columns,index_name,expected_index",
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(
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