17 releases (9 breaking)
0.10.3 | Nov 7, 2024 |
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0.10.1 | Sep 28, 2024 |
0.10.0 | Jun 19, 2024 |
0.8.0 | Mar 21, 2024 |
0.3.0 | Oct 3, 2023 |
#231 in Database interfaces
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Used in 5 crates
(3 directly)
525KB
12K
SLoC
Native Rust HDFS client
This is a proof-of-concept HDFS client written natively in Rust. All other clients I have found in any other language are simply wrappers around libhdfs and require all the same Java dependencies, so I wanted to see if I could write one from scratch given that HDFS isn't really changing very often anymore. Several basic features are working, however it is not nearly as robust and the real HDFS client.
What this is not trying to do is implement all HDFS client/FileSystem interfaces, just things involving reading and writing data.
Supported HDFS features
Here is a list of currently supported and unsupported but possible future features.
HDFS Operations
- Listing
- Reading
- Writing
- Rename
- Delete
HDFS Features
- Name Services
- Observer reads (state ID tracking is supported, but needs improvements on tracking Observer/Active NameNode)
- ViewFS
- Router based federation
- Erasure coded reads and writes
- RS schema only, no support for RS-Legacy or XOR
Security Features
- Kerberos authentication (GSSAPI SASL support) (requires libgssapi_krb5, see below)
- Token authentication (DIGEST-MD5 SASL support)
- NameNode SASL connection
- DataNode SASL connection
- DataNode data transfer encryption
- Encryption at rest (KMS support)
Kerberos Support
Kerberos (SASL GSSAPI) mechanism is supported through a runtime dynamic link to libgssapi_krb5
. This must be installed separately, but is likely already installed on your system. If not you can install it by:
Debian-based systems
apt-get install libgssapi-krb5-2
RHEL-based systems
yum install krb5-libs
MacOS
brew install krb5
Supported HDFS Settings
The client will attempt to read Hadoop configs core-site.xml
and hdfs-site.xml
in the directories $HADOOP_CONF_DIR
or if that doesn't exist, $HADOOP_HOME/etc/hadoop
. Currently the supported configs that are used are:
fs.defaultFS
- Client::default() supportdfs.ha.namenodes
- name service supportdfs.namenode.rpc-address.*
- name service supportdfs.client.failover.resolve-needed.*
- DNS based NameNode discoverydfs.client.failover.resolver.useFQDN.*
- DNS based NameNode discoverydfs.client.failover.random.order.*
- Randomize order of NameNodes to tryfs.viewfs.mounttable.*.link.*
- ViewFS linksfs.viewfs.mounttable.*.linkFallback
- ViewFS link fallback
All other settings are generally assumed to be the defaults currently. For instance, security is assumed to be enabled and SASL negotiation is always done, but on insecure clusters this will just do SIMPLE authentication. Any setups that require other customized Hadoop client configs may not work correctly.
Building
cargo build
Object store implementation
An object_store implementation for HDFS is provided in the hdfs-native-object-store crate.
Running tests
The tests are mostly integration tests that utilize a small Java application in rust/mindifs/
that runs a custom MiniDFSCluster
. To run the tests, you need to have Java, Maven, Hadoop binaries, and Kerberos tools available and on your path. Any Java version between 8 and 17 should work.
cargo test -p hdfs-native --features intergation-test
Python tests
See the Python README
Running benchmarks
Some of the benchmarks compare performance to the JVM based client through libhdfs via the fs-hdfs3 crate. Because of that, some extra setup is required to run the benchmarks:
export HADOOP_CONF_DIR=$(pwd)/rust/target/test
export CLASSPATH=$(hadoop classpath)
then you can run the benchmarks with
cargo bench -p hdfs-native --features benchmark
The benchmark
feature is required to expose minidfs
and the internal erasure coding functions to benchmark.
Running examples
The examples make use of the minidfs
module to create a simple HDFS cluster to run the example. This requires including the integration-test
feature to enable the minidfs
module. Alternatively, if you want to run the example against an existing HDFS cluster you can exclude the integration-test
feature and make sure your HADOOP_CONF_DIR
points to a directory with HDFS configs for talking to your cluster.
cargo run --example simple --features integration-test
Dependencies
~11–25MB
~359K SLoC