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Perform Two Phase Commits
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Synopsis
This document provides a pattern for doing multi-document updates or “multi-document transactions” using a two-phase commit approach for writing data to multiple documents. Additionally, you can extend this process to provide a rollback-like functionality.
Background
Operations on a single document are always atomic with MongoDB databases; however, operations that involve multiple documents, which are often referred to as “multi-document transactions”, are not atomic. Since documents can be fairly complex and contain multiple “nested” documents, single-document atomicity provides the necessary support for many practical use cases.
Despite the power of single-document atomic operations, there are cases that require multi-document transactions. When executing a transaction composed of sequential operations, certain issues arise, such as:
- Atomicity: if one operation fails, the previous operation within the transaction must “rollback” to the previous state (i.e. the “nothing,” in “all or nothing”).
- Consistency: if a major failure (i.e. network, hardware) interrupts the transaction, the database must be able to recover a consistent state.
For situations that require multi-document transactions, you can implement two-phase commit in your application to provide support for these kinds of multi-document updates. Using two-phase commit ensures that data is consistent and, in case of an error, the state that preceded the transaction is recoverable. During the procedure, however, documents can represent pending data and states.
Note
Because only single-document operations are atomic with MongoDB, two-phase commits can only offer transaction-like semantics. It is possible for applications to return intermediate data at intermediate points during the two-phase commit or rollback.
Pattern
Overview
Consider a scenario where you want to transfer funds from account A
to account B
. In a relational database system, you can subtract the funds from A
and add the funds to B
in a single multi-statement transaction. In MongoDB, you can emulate a two-phase commit to achieve a comparable result.
The examples in this tutorial use the following two collections:
- A collection named
accounts
to store account information. - A collection named
transactions
to store information on the fund transfer transactions.
Initialize Source and Destination Accounts
Insert into the accounts
collection a document for account A
and a document for account B
.
db.accounts.insert(
[
{ _id: "A", balance: 1000, pendingTransactions: [] },
{ _id: "B", balance: 1000, pendingTransactions: [] }
]
)
The operation returns a BulkWriteResult()
object with the status of the operation. Upon successful insert, the BulkWriteResult()
has nInserted
set to 2
.
Initialize Transfer Record
For each fund transfer to perform, insert into the transactions
collection a document with the transfer information. The document contains the following fields:
source
anddestination
fields, which refer to the_id
fields from theaccounts
collection,value
field, which specifies the amount of transfer affecting thebalance
of thesource
anddestination
accounts,state
field, which reflects the current state of the transfer. Thestate
field can have the value ofinitial
,pending
,applied
,done
,canceling
, andcanceled
.lastModified
field, which reflects last modification date.
To initialize the transfer of 100
from account A
to account B
, insert into the transactions
collection a document with the transfer information, the transaction state
of "initial"
, and the lastModified
field set to the current date:
db.transactions.insert(
{ _id: 1, source: "A", destination: "B", value: 100, state: "initial", lastModified: new Date() }
)
The operation returns a WriteResult()
object with the status of the operation. Upon successful insert, the WriteResult()
object has nInserted
set to 1
.
Transfer Funds Between Accounts Using Two-Phase Commit
Retrieve the transaction to start.
From the transactions
collection, find a transaction in the initial
state. Currently the transactions
collection has only one document, namely the one added in the Initialize Transfer Record step. If the collection contains additional documents, the query will return any transaction with an initial
state unless you specify additional query conditions.
var t = db.transactions.findOne( { state: "initial" } )
Type the variable t
in the mongo
shell to print the contents of the variable. The operation should print a document similar to the following except the lastModified
field should reflect date of your insert operation:
{ "_id" : 1, "source" : "A", "destination" : "B", "value" : 100, "state" : "initial", "lastModified" : ISODate("2014-07-11T20:39:26.345Z") }
Update transaction state to pending.
Set the transaction state
from initial
to pending
and use the $currentDate
operator to set the lastModified
field to the current date.
db.transactions.update(
{ _id: t._id, state: "initial" },
{
$set: { state: "pending" },
$currentDate: { lastModified: true }
}
)
The operation returns a WriteResult()
object with the status of the operation. Upon successful update, the nMatched
and nModified
displays 1
.
In the update statement, the state: "initial"
condition ensures that no other process has already updated this record. If nMatched
and nModified
is 0
, go back to the first step to get a different transaction and restart the procedure.
Apply the transaction to both accounts.
Apply the transaction t
to both accounts using the update()
method if the transaction has not been applied to the accounts. In the update condition, include the condition pendingTransactions: { $ne: t._id }
in order to avoid re-applying the transaction if the step is run more than once.
To apply the transaction to the account, update both the balance
field and the pendingTransactions
field.
Update the source account, subtracting from its balance
the transaction value
and adding to its pendingTransactions
array the transaction _id
.
db.accounts.update(
{ _id: t.source, pendingTransactions: { $ne: t._id } },
{ $inc: { balance: -t.value }, $push: { pendingTransactions: t._id } }
)
Upon successful update, the method returns a WriteResult()
object with nMatched
and nModified
set to 1
.
Update the destination account, adding to its balance
the transaction value
and adding to its pendingTransactions
array the transaction _id
.
db.accounts.update(
{ _id: t.destination, pendingTransactions: { $ne: t._id } },
{ $inc: { balance: t.value }, $push: { pendingTransactions: t._id } }
)
Upon successful update, the method returns a