Working with HDFS¶
This is a simple guide that demonstrates how to use TileDB on HDFS. HDFS is a distributed Java-based filesystem for storing large amounts of data. It is the underlying distributed storage layer for the Hadoop stack.
Note
The HDFS backend currently only works on POSIX (Linux, OSX) platforms. Windows is currently not supported.
TileDB integrates with HDFS through the libhdfs
library
(HDFS C-API). The HDFS backend is enabled by default and libhdfs
loading
happens at runtime based on environment variables:
Environment variable |
Description |
|
The root of your installed Hadoop distribution. TileDB will search the
path |
|
The location of the Java SDK installation. The |
|
The Java classpath including the Hadoop jar files. The correct
|
If the library cannot be found, or if the Hadoop library cannot locate the correct library dependencies a runtime, an error will be returned.
To use HDFS with TileDB, change the URI you use to an HDFS path:
hdfs://<authority>:<port>/path/to/array
For instance, if you are running a local HDFS namenode on port 9000:
hdfs://localhost:9000/path/to/array
If you want to use the namenode specified in your HDFS configuration files, then change the prefix to:
hdfs:///path/to/array
orhdfs://default/path/to/array
Most HDFS configuration variables are defined in Hadoop specific XML files. TileDB allows the following configuration variables to be set at run time through configuration parameters:
Parameter |
Description |
|
Optional runtime username to use when connecting to the HDFS cluster. |
|
Optional namenode URI to use (TileDB will use |
|
Path to the Kerberos ticket cache when connecting to an HDFS cluster. |