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Batching Modifications
A Batch
represents a set of data
modification operations to be performed on tables in a database. Use of a
Batch
does not require creating an explicit
Snapshot
or
Transaction
. Until
commit()
is called on a Batch
,
no changes are propagated to the back-end.
Use Batch via BatchCheckout
Database.batch()
creates a BatchCheckout
instance to use as a context manager to handle creating and committing a
Batch
. The
BatchCheckout
will automatically call
commit()
if the with
block exits
without raising an exception.
from google.cloud.spanner import KeySet
client = spanner.Client()
instance = client.instance(INSTANCE_NAME)
database = instance.database(DATABASE_NAME)
to_delete = KeySet(keys=[
('[email protected]',)
('[email protected]',)
])
with database.batch() as batch:
batch.insert(
'citizens', columns=['email', 'first_name', 'last_name', 'age'],
values=[
['[email protected]', 'Phred', 'Phlyntstone', 32],
['[email protected]', 'Bharney', 'Rhubble', 31],
])
batch.update(
'citizens', columns=['email', 'age'],
values=[
['[email protected]', 33],
['[email protected]', 32],
])
...
batch.delete('citizens', to_delete)
Inserting records using a Batch
Batch.insert()
adds one or more new records to a table. This fails if
any of the records already exist.
batch.insert(
'citizens', columns=['email', 'first_name', 'last_name', 'age'],
values=[
['[email protected]', 'Phred', 'Phlyntstone', 32],
['[email protected]', 'Bharney', 'Rhubble', 31],
])
NOTE: Ensure that data being sent for STRING
columns uses a text string
(str
in Python 3; unicode
in Python 2).
Additionally, if you are writing data intended for a BYTES
column, you
must base64 encode it.
Update records using a Batch
Batch.update()
updates one or more existing records in a table. This fails
if any of the records do not already exist.
batch.update(
'citizens', columns=['email', 'age'],
values=[
['[email protected]', 33],
['[email protected]', 32],
])
NOTE: Ensure that data being sent for STRING
columns uses a text string
(str
in Python 3; unicode
in Python 2).
Additionally, if you are writing data intended for a BYTES
column, you
must base64 encode it.
Insert or update records using a Batch
Batch.insert_or_update()
inserts or updates one or more records in a
table. Existing rows have values for the supplied columns overwritten; other
column values are preserved.
batch.insert_or_update(
'citizens', columns=['email', 'first_name', 'last_name', 'age'],
values=[
['[email protected]', 'Phred', 'Phlyntstone', 31],
['[email protected]', 'Wylma', 'Phlyntstone', 29],
])
NOTE: Ensure that data being sent for STRING
columns uses a text string
(str
in Python 3; unicode
in Python 2).
Additionally, if you are writing data intended for a BYTES
column, you
must base64 encode it.
Replace records using a Batch
Batch.replace()
inserts or updates one or more records in a
table. Existing rows have values for the supplied columns overwritten; other
column values are set to null.
batch.replace(
'citizens', columns=['email', 'first_name', 'last_name', 'age'],
values=[
['[email protected]', 'Bharney', 'Rhubble', 30],
['[email protected]', 'Bhettye', 'Rhubble', 30],
])
NOTE: Ensure that data being sent for STRING
columns uses a text string
(str
in Python 3; unicode
in Python 2).
Additionally, if you are writing data intended for a BYTES
column, you
must base64 encode it.
Delete records using a Batch
Batch.delete()
removes one or more records from a table. Attempting to delete
rows that do not exist will not cause errors.
from google.cloud.spanner import KeySet
to_delete = KeySet(keys=[
('[email protected]',)
('[email protected]',)
])
batch.delete('citizens', to_delete)
Commit changes for a Batch
After describing the modifications to be made to table data via the
Batch.insert()
, Batch.update()
, Batch.insert_or_update()
,
Batch.replace()
, and Batch.delete()
methods above, send them to
the back-end by calling Batch.commit()
, which makes the Commit
API call.
You do not need to call this yourself as
BatchCheckout
will call
this method automatically upon exiting the with
block.
batch.commit()
Next Step
Next, learn about Read-only Transactions via Snapshots.