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https://issues.apache.org/jira/browse/AIRFLOW-1613?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Joy Gao updated AIRFLOW-1613:
-----------------------------
Description:
1.
In Python 3, map(...) returns an iterator, which can only be iterated over
once.
Therefore the current implementation will return an empty list after the first
iteration of schema:
{code}
schema = map(lambda schema_tuple: schema_tuple[0], cursor.description)
file_no = 0
tmp_file_handle = NamedTemporaryFile(delete=True)
tmp_file_handles = {self.filename.format(file_no): tmp_file_handle}
for row in cursor:
# Convert datetime objects to utc seconds, and decimals to floats
row = map(self.convert_types, row)
row_dict = dict(zip(schema, row))
{code}
2.
File opened as binary, but string are written to it. Get error `a bytes-like
object is required, not 'str'`. Use mode='w' instead.
3.
Operator currently does not support binary columns in mysql. We should support
uploading binary columns from mysql to cloud storage as it's a pretty common
use-case.
was:
1.
In Python 3, map(...) returns an iterator, which can only be iterated over
once.
Therefore the current implementation will return an empty list after the first
iteration of schema:
{code}
schema = map(lambda schema_tuple: schema_tuple[0], cursor.description)
file_no = 0
tmp_file_handle = NamedTemporaryFile(delete=True)
tmp_file_handles = {self.filename.format(file_no): tmp_file_handle}
for row in cursor:
# Convert datetime objects to utc seconds, and decimals to floats
row = map(self.convert_types, row)
row_dict = dict(zip(schema, row))
{code}
2.
File opened as binary, but string are written to it. Get error `a bytes-like
object is required, not 'str'`. Use mode='w' instead.
3. Update:
Operator currently does not support binary columns in mysql. We should support
uploading binary columns from mysql to cloud storage as it's a pretty common
use-case.
> Make MySqlToGoogleCloudStorageOperator compaitible with python3
> ---------------------------------------------------------------
>
> Key: AIRFLOW-1613
> URL: https://issues.apache.org/jira/browse/AIRFLOW-1613
> Project: Apache Airflow
> Issue Type: Bug
> Components: contrib
> Reporter: Joy Gao
> Assignee: Joy Gao
> Fix For: 1.9.0
>
>
> 1.
> In Python 3, map(...) returns an iterator, which can only be iterated over
> once.
> Therefore the current implementation will return an empty list after the
> first iteration of schema:
> {code}
> schema = map(lambda schema_tuple: schema_tuple[0], cursor.description)
> file_no = 0
> tmp_file_handle = NamedTemporaryFile(delete=True)
> tmp_file_handles = {self.filename.format(file_no): tmp_file_handle}
> for row in cursor:
> # Convert datetime objects to utc seconds, and decimals to floats
> row = map(self.convert_types, row)
> row_dict = dict(zip(schema, row))
> {code}
> 2.
> File opened as binary, but string are written to it. Get error `a bytes-like
> object is required, not 'str'`. Use mode='w' instead.
> 3.
> Operator currently does not support binary columns in mysql. We should
> support uploading binary columns from mysql to cloud storage as it's a pretty
> common use-case.
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