Hi, Did you specify:
<property> <name>fs.igfs.impl</name> <value>org.apache.ignite.hadoop.fs.v1.IgniteHadoopFileSystem</value> </property> <property> <name>fs.AbstractFileSystem.igfs.impl</name> <value>org.apache.ignite.hadoop.fs.v2.IgniteHadoopFileSystem</value> </property> in core-site.xml? may be hadoop find this fs implementation automatically in lib dir, I'm note sure about this. Any way Hadoop uses special implementation of file system(IgniteHadoopFileSystem) to work with IGFS, so I don't think that we have this implementation for python. Thanks, Mikhail. On Mon, Jul 10, 2017 at 6:32 PM, nsemichev <nsemic...@gmail.com> wrote: > I configured HDFS Client on Ubuntu 16.04 and I can successfully run this > command: > hdfs --config /etc/hadoop/conf/ dfs -ls / > The config parameter takes the file core-site.xml from etc/hadoop/conf/ > > From core-site.xml > > <property> > <name>fs.default.name</name> > <value>igfs://igfs@10.200.10.1:10500</value> > </property> > > Then I tried using Python hdfs3 library which uses libhdfs3. > > >>> from hdfs3 import HDFileSystem > >>> hdfs = HDFileSystem(host='10.200.10.1', port=10500) > > When I run this code, I get the following error message: > ConnectionError: Connection Failed: HdfsRpcException: Failed to invoke RPC > call "getFsStats" on server "10.200.10.1:10500" > > I opened an issue here: https://github.com/dask/hdfs3/issues/123 > > It seems like it should work; has anyone tried using hdfs3 Python library > or > some other Python libraries to work with Ignite? > > > > -- > View this message in context: http://apache-ignite-users. > 70518.x6.nabble.com/Using-Python-library-to-run-HDFS- > with-Ignite-tp14595.html > Sent from the Apache Ignite Users mailing list archive at Nabble.com. > -- Thanks, Mikhail.