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Compress Network Traffic

MongoDB drivers can compress the messages sent to and received from MongoDB Server. This reduces the amount of data transferred for each operation. Compression can improve performance over constrained networks and lower the data transfer costs associated with running MongoDB Atlas.

Compression operates at the wire protocol level, so it applies to every operation that your application performs. If you specify more than one algorithm, the driver uses the first algorithm in your list that MongoDB Server also supports.

MongoDB drivers support the following compression algorithms:

MongoDB Atlas charges for data transferred across cloud regions, cloud providers, and between your infrastructure and MongoDB Atlas. Network compression reduces the amount of data that your application sends and receives, which can lower these data transfer costs. To learn more about pricing, see Data Transfer Costs.

Network compression also has productivity benefits. Compressed messages take less time to transfer across the network, which can improve your application's response times. Compression also reduces the bandwidth that your MongoDB traffic uses, which leaves more bandwidth available for other applications on the same network.

When you choose a compression algorithm, consider the following guidelines:

  • Use Zstandard for a balance of compression efficiency and resource usage. Zstandard is a good default choice for most applications.

  • Use Snappy for latency-sensitive applications that require minimal computational overhead.

  • Use Zlib for broad compatibility across MongoDB drivers and environments.

Tip

Monitor CPU Usage

Compression trades network bandwidth for CPU usage. After you enable network compression, monitor your application's CPU utilization to confirm that the trade-off benefits your workload. To learn more about these trade-offs, see the CPU Utilization and Network Compression in MongoDB blog post.

The following table lists the minimum supported driver and MongoDB Server version for each compression algorithm:

Compression Algorithm
Minimum Driver Version
Minimum Server Version

1.7

4.2

1.7

4.2

1.15

4.2

To enable network compression for your MongoDB connection, build the C driver with the required dependencies and specify the compression algorithms that you want to use.

The following table lists each algorithm and the dependency it requires, if any:

Compression Algorithm
Dependency

Snappy

Install the Snappy library. To view installation instructions, see the snappy GitHub repository.

Zlib

None. The driver bundles Zlib by default.

Zstandard

Install the Zstandard library. To view installation instructions, see the zstd GitHub repository.

You can enable compression for the connection to your MongoDB instance by specifying the algorithms in one of the following ways:

  • Add the compressors parameter to your connection string

  • Set the compressors on a mongoc_uri_t struct

Select the Connection String or URI Option tab to view an example that specifies all available compressors:

client = mongoc_client_new("mongodb://<db_username>:<db_password>@<hostname>/?compressors=snappy,zlib,zstd");
uri = mongoc_uri_new("mongodb://localhost:27017");
mongoc_uri_set_compressors(uri, "snappy,zlib,zstd");
client = mongoc_client_new_from_uri(uri);

When you use the Zlib algorithm, you can specify a compression level from -1 to 9. Lower levels generally provide faster compression with a lower compression ratio, and higher levels provide slower compression with a higher compression ratio.

Select the Connection String or URI Option tab to view an example that specifies a compression level for the zlib compressor:

client = mongoc_client_new("mongodb://<db_username>:<db_password>@<hostname>/?compressors=zlib&zlibCompressionLevel=<zlib_compression_level");
uri = mongoc_uri_new("mongodb://localhost:27017");
mongoc_uri_set_option_as_int32(uri, MONGOC_URI_ZLIBCOMPRESSIONLEVEL, <zlib-compression-level>);
client = mongoc_client_new_from_uri(uri);

For more information about the types and functions used on this page, see the following API documentation: