FAQ
On this page
- Why Am I Getting Errors While Connecting to MongoDB?
- How Does Connection Pooling Work in the Node Driver?
- What Is the Difference Between "connectTimeoutMS", "socketTimeoutMS" and "maxTimeMS"?
- What Happens to Running Operations If the Client Disconnects?
- How Can I Confirm That the Driver Closed Unusable Sockets?
- How Can I Prevent Sockets From Timing Out Before They Become Active?
- What Does a Value of "0" mean for "connectTimeoutMS" and "socketTimeoutMS"?
- How Can I Prevent Long-Running Operations From Slowing Down the Server?
- What Does the "keepAlive" Setting Do?
- What Can I Do If I'm Experiencing Unexpected Network Behavior?
- How Can I Prevent a Slow Operation From Delaying Other Operations?
- How Can I Ensure My Connection String Is Valid for a Replica Set?
This page contains frequently asked questions and their corresponding answers.
Tip
If you can't find an answer to your problem on this page, see the Issues & Help page for next steps and more resources.
Why Am I Getting Errors While Connecting to MongoDB?
If you have trouble connecting to a MongoDB deployment, see the Connection Troubleshooting Guide for possible solutions.
How Does Connection Pooling Work in the Node Driver?
Every MongoClient
instance has a built-in connection pool for each server
in your MongoDB topology. Connection pools open sockets on demand to
support concurrent requests to MongoDB in your application.
The maximum size of each connection pool is set by the maxPoolSize
option, which
defaults to 100
. If the number of in-use connections to a server reaches
the value of maxPoolSize
, the next request to that server will wait
until a connection becomes available.
In addition to the sockets needed to support your application's requests,
each MongoClient
instance opens two additional sockets per server
in your MongoDB topology for monitoring the server's state.
For example, a client connected to a three-node replica set opens six
monitoring sockets. If the application uses the default setting for
maxPoolSize
and only queries the primary (default) node, then
there can be at most 106
total connections in the connection pool. If the
application uses a read preference to query the
secondary nodes, those connection pools grow and there can be
306
total connections.
To support high numbers of concurrent MongoDB requests
within one process, you can increase maxPoolSize
.
Connection pools are rate-limited. The maxConnecting
option
determines the number of connections that the pool can create in
parallel at any time. For example, if the value of maxConnecting
is
2
, the third request that attempts to concurrently check out a
connection succeeds only when one the following cases occurs:
The connection pool finishes creating a connection and there are fewer than
maxPoolSize
connections in the pool.An existing connection is checked back into the pool.
The driver's ability to reuse existing connections improves due to rate-limits on connection creation.
You can set the minimum number of concurrent connections to
each server with the minPoolSize
option, which defaults to 0
.
The driver initializes the connection pool with this number of sockets. If
sockets are closed, causing the total number
of sockets (both in use and idle) to drop below the minimum, more
sockets are opened until the minimum is reached.
You can set the maximum number of milliseconds that a connection can
remain idle in the pool by setting the maxIdleTimeMS
option.
Once a connection has been idle for maxIdleTimeMS
, the connection
pool removes and replaces it. This option defaults to 0
(no limit).
The following default configuration for a MongoClient
works for most
applications:
const client = new MongoClient("<connection string>");
MongoClient
supports multiple concurrent requests. For each process,
create a client and reuse it for all operations in a process. This
practice is more efficient than creating a client for each request.
The driver does not limit the number of requests that
can wait for sockets to become available, and it is the application's
responsibility to limit the size of its pool to bound queuing
during a load spike. Requests wait for the amount of time specified in
the waitQueueTimeoutMS
option, which defaults to 0
(no limit).
A request that waits more than the length of time defined by
waitQueueTimeoutMS
for a socket raises a connection error. Use this
option if it is more important to bound the duration of operations
during a load spike than it is to complete every operation.
When MongoClient.close()
is called by any request, the driver
closes all idle sockets and closes all sockets that are in
use as they are returned to the pool. Calling MongoClient.close()
closes only inactive sockets, so you cannot interrupt or terminate
any ongoing operations by using this method. The driver closes these
sockets only when the process completes.
What Is the Difference Between "connectTimeoutMS", "socketTimeoutMS" and "maxTimeMS"?
Setting | Description |
---|---|
connectTimeoutMS |
TipTo modify the allowed time for MongoClient.connect to establish a
connection to a MongoDB server, use the Default: 30000 |
socketTimeoutMS | socketTimeoutMS specifies the amount of time the driver waits
for an inactive socket before closing it. The default value is to
never time out the socket. This option applies only to sockets that
have already been connected. |
maxTimeMS | maxTimeMS
specifies the maximum amount of time that the server
waits for an operation to complete after it has reached the
server. If an operation runs over the specified time limit, it
returns a timeout error. You can pass maxTimeMS only to an
individual operation or to a cursor. |
To specify the optional settings for your MongoClient
, declare one or
more available settings in the options
object of the constructor as
follows:
const client = new MongoClient(uri, { connectTimeoutMS: <integer value>, socketTimeoutMS: <integer value> });
To see all the available settings, see the MongoClientOptions API Documentation.
To specify maxTimeMS
, chain the maxTimeMS()
method with a
timeout specification to an operation that returns a Cursor
:
const cursor = myColl.find({}).maxTimeMS(50);
What Happens to Running Operations If the Client Disconnects?
Starting in MongoDB Server version 4.2, the server terminates running operations such as aggregations and find operations if the client disconnects. To see a full list of operations affected by this behavior, see the Server version 4.2 release notes in the Server manual.
Other operations, such as write operations, continue to run on the MongoDB Server even if the client disconnects. This behavior can cause data inconsistencies if your application retries the operation after the client disconnects.
How Can I Confirm That the Driver Closed Unusable Sockets?
If you experience unexpected network behavior or if a MongoDB process fails with an error, you may not receive confirmation that the driver correctly closed the corresponding socket.
To make sure that the driver correctly closes the socket in these cases,
set the socketTimeoutMS
option. When a MongoDB process times out, the driver
will close the socket. We recommend that you select a value
for socketTimeoutMS
that is two to three times as long as the
expected duration of the slowest operation that your application executes.
How Can I Prevent Sockets From Timing Out Before They Become Active?
Having a large connection pool does not always reduce reconnection requests. Consider the following example:
An application has a connection pool size of 5 sockets and has the
socketTimeoutMS
option set to 5000 milliseconds. Operations occur,
on average, every 3000 milliseconds, and reconnection requests are
frequent. Each socket times out after 5000 milliseconds, which means
that all sockets must do something during those 5000 milliseconds to
avoid closing.
One message every 3000 milliseconds is not enough to keep the sockets
active, so several of the sockets will time out after 5000 milliseconds.
To avoid excessive socket timeouts, reduce the number of connections
that the driver can maintain in the connection pool by specifying the
maxPoolSize
option.
To specify the optional maxPoolSize
setting for your MongoClient
, declare
it in the options
object of the constructor as follows:
const client = new MongoClient(uri, { maxPoolSize: <integer value>, });
What Does a Value of "0" mean for "connectTimeoutMS" and "socketTimeoutMS"?
If you set the value of connectTimeoutMS
or socketTimeoutMS
to
0
, your application will use the operating system's default socket
timeout value.
How Can I Prevent Long-Running Operations From Slowing Down the Server?
You can prevent long-running operations from slowing down the server by
specifying a timeout value. You can chain the maxTimeMS()
method to
an operation that returns a Cursor
to set a timeout on a specific action.
The following example shows how you can chain the maxTimeMS()
method
to an operation that returns a Cursor
:
// Execute a find command await collection .find({ $where: "sleep(100) || true" }) .maxTimeMS(50);
What Does the "keepAlive" Setting Do?
keepAlive
is a connection-setting
that sets the number of
milliseconds to wait before initiating a TLS keepAlive on a TCP Socket. The keepAlive
option
will keep a socket alive by sending periodic probes to MongoDB. However,
this only works if the operating system supports SO_KEEPALIVE
.
This setting is deprecated in v5.3 of the Node.js driver and later.
Warning
If a firewall ignores or drops the keepAlive packets this may not work
What Can I Do If I'm Experiencing Unexpected Network Behavior?
Internal firewalls that exist between application servers and MongoDB are often misconfigured and are overly aggressive in their removal of socket connections.
If you experience unexpected network behavior, here are some things to check:
The firewall should send a
FIN packet
when closing a socket, allowing the driver to detect that the socket is closed.The firewall should allow
keepAlive
probes.
How Can I Prevent a Slow Operation From Delaying Other Operations?
When you use the same MongoClient
instance to run multiple MongoDB
operations concurrently, a slow operation can cause delays to other
operations. Slow operations keep a connection to MongoDB occupied,
which can cause other operations to wait until an additional connection
becomes available.
If you suspect that slow MongoDB operations are causing delays, you can check the performance of all in-progress operations by using the following methods:
Enable the database profiler on your deployment. To learn more, see Database Profiler in the Server manual.
Run the
db.currentOp()
MongoDB Shell command. To learn more, see the db.currentOp() documentation in the Server manual.Enable connection pool monitoring. To learn more, see Connection Pool Monitoring.
After you determine which operations are causing delays, try to improve the performance of these operations. Read the Best Practices Guide for MongoDB Performance for possible solutions.
If you implement performance best practices but still experience delays, you can modify your connection settings to increase the size of the connection pool. A connection pool is the group of connections to the server that the driver maintains at any time.
To specify the maximum size of a
connection pool, you can set the maxPoolSize
option in the
connection options for your
MongoClient
instance. The default value
of maxPoolSize
is 100
. If the number of in-use connections to a
server reaches maxPoolSize
, the next operation sent to the server
pauses until a connection to the driver becomes available. The following
code sets maxPoolSize
to 150
when creating a new MongoClient
:
const client = new MongoClient(uri, { maxPoolSize: 150 });
Tip
To learn more about connection pooling, see the How Does Connection Pooling Work in the Node Driver? FAQ entry.
How Can I Ensure My Connection String Is Valid for a Replica Set?
The connection string passed to the driver must use exact hostnames for
the servers as set in the Replica Set Config.
Given the following configuration settings for your Replica Set, in
order for the Replica Set discovery and failover to work, the driver must have access
to server1
, server2
, and server3
.
{ "_id": "testSet", "version": 1, "protocolVersion": 1, "members": [ { "_id": 1, "host": "server1:31000" }, { "_id": 2, "host": "server2:31001" }, { "_id": 3, "host": "server3:31002" } ] }
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