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Several fixes and enhancements #39

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38 changes: 30 additions & 8 deletions etlalchemy/ETLAlchemySource.py
Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,7 @@
from sqlalchemy.inspection import inspect
from sqlalchemy.exc import NoSuchTableError
from sqlalchemy.types import Text, Numeric, BigInteger, Integer, DateTime, Date, TIMESTAMP, String, BINARY, LargeBinary
from sqlalchemy.dialects.postgresql import BYTEA
from sqlalchemy.dialects.postgresql import BYTEA, UUID
import inspect as ins
import re
import csv
Expand Down Expand Up @@ -50,7 +50,8 @@ def __init__(self,
skip_table_if_empty=False,
skip_column_if_empty=False,
compress_varchar=False,
log_file=None):
log_file=None,
per_table_buffers={}):
# TODO: Store unique columns in here, and ADD the unique constraints
# after data has been migrated, rather than before
self.unique_columns = []
Expand All @@ -59,6 +60,9 @@ def __init__(self,
self.logger = logging.getLogger("ETLAlchemySource")
self.logger.propagate = False

#Allow specifying of buffer size on a per-table basis when fetching rows from the source
self.per_table_buffers = per_table_buffers

for h in list(self.logger.handlers):
# Clean up any old loggers...(useful during testing w/ multiple
# log_files)
Expand Down Expand Up @@ -205,6 +209,16 @@ def standardize_column_type(self, column, raw_rows):
# Get the VARCHAR size of the column...
########################################
varchar_length = column.type.length
# If varchar_length exceeds the maximum size for our target
# database, then convert VARCHAR -> TEXT
if self.dst_engine.dialect.name.lower() == "postgresql":
if varchar_length == 'max' or varchar_length > 10485760:
varchar_length = 0
elif self.dst_engine.dialect.name.lower() == "mssql":
if varchar_length == 'max' or varchar_length > 65532:
# Note: This isn't always the case for mssql!
# If using utf8, the limit is 21844.
varchar_length = 0
##################################
# Strip collation here ...
##################################
Expand Down Expand Up @@ -401,6 +415,11 @@ def standardize_column_type(self, column, raw_rows):
"coercing to Boolean'")
column_copy.type.__class__ = sqlalchemy.types.Boolean
elif "TYPEENGINE" in base_classes:
if self.dst_engine.dialect.name.lower() == "postgresql"\
and column.type.__class__.__name__ == "UNIQUEIDENTIFIER":
column_copy.type = UUID()
self.logger.warning("Found column of type 'UNIQUEIDENTIFIER' -> " +
"coercing to 'UUID'")
for r in raw_rows:
if r[idx] is not None:
null = False
Expand Down Expand Up @@ -1005,6 +1024,9 @@ def migrate(
self.logger.info("Loading all rows into memory...")
rows = []

if T_src.name in self.per_table_buffers:
buffer_size = self.per_table_buffers.get(T_src.name)

for i in range(1, (cnt / buffer_size) + 1):
self.logger.info(
"Fetched {0} rows".format(str(i * buffer_size)))
Expand Down Expand Up @@ -1206,9 +1228,9 @@ def add_indexes(self, destination_database_url):
.get(table_name)
column_transformer = self.schema_transformer.column_transformations\
.get(table_name)
if table_transform and table_transform.newTable not in ["", None]:
if table_transform and table_transform.new_table not in ["", None]:
# Update the table_name
table_name = table_transform.newTable
table_name = table_transform.new_table
this_idx_count = 0
self.logger.info("Creating indexes for '" + table_name + "'...")
for i in indexes:
Expand Down Expand Up @@ -1383,9 +1405,9 @@ def add_fks(self, destination_database_url):
####################################
table_transform = self.schema_transformer.table_transformations.get(
table_name)
if table_transform and table_transform.newTable not in ["", None]:
if table_transform and table_transform.new_table not in ["", None]:
# Update the table_name
table_name = table_transform.newTable
table_name = table_transform.new_table
self.logger.info(
"Adding FKs to table '{0}' (previously {1})".format(
table_name, pre_transformed_table_name))
Expand Down Expand Up @@ -1456,10 +1478,10 @@ def add_fks(self, destination_database_url):
ref_column_transformer = \
self.schema_transformer.column_transformations.get(
ref_table)
if table_transform and table_transform.newTable not in [
if table_transform and table_transform.new_table not in [
"", None]:
# Update the table_name
ref_table = table_transform.newTable
ref_table = table_transform.new_table
T_ref = Table(ref_table, dst_meta)
############################
# Check that referenced table
Expand Down
1 change: 1 addition & 0 deletions etlalchemy/literal_value_generator.py
Original file line number Diff line number Diff line change
@@ -1,6 +1,7 @@
import shutil
import decimal
import datetime

# Find the best implementation available on this platform
try:
from cStringIO import StringIO
Expand Down
2 changes: 1 addition & 1 deletion etlalchemy/schema_transformer.py
Original file line number Diff line number Diff line change
Expand Up @@ -81,7 +81,7 @@ def __init__(self, column_transform_file,

# Returns False if deleted...
def transform_table(self, table):
thisTableTT = self.table_transformations.get(table.name.lower())
thisTableTT = self.table_transformations.get(table.name)
# Update table name
if thisTableTT:
if thisTableTT.delete:
Expand Down
2 changes: 1 addition & 1 deletion requirements.txt
Original file line number Diff line number Diff line change
Expand Up @@ -11,4 +11,4 @@ py==1.4.31
six==1.9.0
SQLAlchemy==1.0.13
sqlalchemy-migrate==0.9.7
SQLAlchemy-Utils==0.30.9
SQLAlchemy-Utils==0.33.6