> 2. Has anyone contended with managing schema differences between sources?
> In other words, if I have say 500 loggers, each logging slightly different
> schemas (ie 100 different columns and so different table definitions), the
> suggested Pytables way of binding static data definitions for each logger
> could be unmaintainable. From memory I can dynamically bind class
> attributes in Python - is this ok?
Ok I found the docs on defining tables with dictionaries instead of classes.
Fyi this does not work with PyTables:
class LoggerRecord(tables.IsDescription):
pass
LoggerRecord.col1 = tables.Float32Col() # dynamically bind
h5file = tables.openFile("test.h5", mode = "w", title = "test")
group = h5file.createGroup('/', 'test', 'Test Data')
table = h5file.createTable(group, 'data', LoggerRecord, 'Data')
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/lib/python2.5/site-packages/tables/file.py", line 736, in
createTable
chunkshape=chunkshape, byteorder=byteorder)
File "/usr/lib/python2.5/site-packages/tables/table.py", line 517, in
__init__
self.description = Description(descr.columns)
File "/usr/lib/python2.5/site-packages/tables/description.py", line 480, in
__init__
self._g_setPathNames()
File "/usr/lib/python2.5/site-packages/tables/description.py", line 547, in
_g_setPathNames
head = cols[0]
IndexError: list index out of range
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