Stores neuron meshes and manifests for fast and cheap reads / writes. This database uses BigTable and hides the column logic. Each entry is a single value.
The first time you load a table set is_new=True, eg.:
from neuronmeshdb import meshdb
mdb = meshdb.MeshDB(table_id="my_unique_table_name", is_new=is_new)
is_new reduces performance and uses quota but does not do any damage if used multiple times.
Make sure that you are happy with the default values for instance_id and project_id.
Use either write_data or write_cv_data to write data efficiently to the database. If you want to generate your own writing logic take a look at those and adapt accordingly.
Example for a list of dicts obtained with cloudvolume:
from neuronmeshdb import meshdb
mdb = meshdb.MeshDB(table_id="my_great_table_name")
mdb.write_cv_data(self, data_list)
Use either read_byte_row or read_byte_rows to read data from the databse.
Example:
from neuronmeshdb import meshdb
mdb = meshdb.MeshDB(table_id="my_great_table_name")
rows = mdb.read_byte_rows(row_keys=my_row_keys)