Kudu Python client

The Kudu Python client provides a Python friendly interface to the C++ client API. To install and use the Kudu Python client, you need to install the Kudu C++ client libraries and headers.

See Install Using Packages topic for installing the Kudu C++ client libraries.
  1. Update all the packages on your system by using the following command:
    yum -y update
  2. Install the extra packages for the Enterprise Linux distribution:
    sudo yum -y install epel-release
  3. Install the Python package manager:
    sudo yum -y install python-pip
  4. Verify the version of the PIP manager that you just installed:
    pip --version
  5. Install Cython:
    sudo pip install cython
  6. Download the following files using wget:
    • Kudu artifact: http://username:password@archive.cloudera.com/p/cdh7/RUNTIME_VERSION/redhat7/yum/kudu/KUDU_ARTIFACT
    • Kudu-client artifact: http://username:password@archive.cloudera.com/p/cdh7/RUNTIME_VERSION/redhat7/yum/kudu/KUDU-CLIENT_ARTIFACT
    • Kudu-client-devel artifact: http://username:password@archive.cloudera.com/p/cdh7/RUNTIME_VERSION/redhat7/yum/kudu/KUDU-CLIENT-DEVEL_ARTIFACT
    • Kudu artifact: http://username:password@archive.cloudera.com/p/cdp-public/RUNTIME_VERSION/redhat7/yum/kudu/KUDU_ARTIFACT
    • Kudu-client artifact: http://username:password@archive.cloudera.com/p/cdp-public/RUNTIME_VERSION/redhat7/yum/kudu/KUDU-CLIENT_ARTIFACT
    • Kudu-client-devel artifact: http://username:password@archive.cloudera.com/p/cdp-public/RUNTIME_VERSION/redhat7/yum/kudu/KUDU-CLIENT-DEVEL_ARTIFACT
  7. Install the kudu package from the local directory:
    sudo yum -y localinstall ./kudu-*
  8. Install the package used for developing Python extensions:
    sudo yum -y install python-devel
  9. Upgrade the setup tools:
    sudo pip install --upgrade pip setuptools
  10. Install the C++ compiler:
    sudo yum -y install gcc-c++
  11. Install the Kudu-python client:
    sudo pip install kudu-python==<kudu-version>
  12. Install kudu-python: sudo pip install kudu-python.
    The following sample demonstrates the use of part of the Python client:
    import kudu
    from kudu.client import Partitioning
    from datetime import datetime
    # Connect to Kudu master server
    client = kudu.connect(host='kudu.master', port=7051)
    # Define a schema for a new table
    builder = kudu.schema_builder()
    builder.add_column('ts_val', type_=kudu.unixtime_micros, nullable=False, compression='lz4')
    schema = builder.build()
    # Define partitioning schema
    partitioning = Partitioning().add_hash_partitions(column_names=['key'], num_buckets=3)
    # Create new table
    client.create_table('python-example', schema, partitioning)
    # Open a table
    table = client.table('python-example')
    # Create a new session so that we can apply write operations
    session = client.new_session()
    # Insert a row
    op = table.new_insert({'key': 1, 'ts_val': datetime.utcnow()})
    # Upsert a row
    op = table.new_upsert({'key': 2, 'ts_val': "2016-01-01T00:00:00.000000"})
    # Updating a row
    op = table.new_update({'key': 1, 'ts_val': ("2017-01-01", "%Y-%m-%d")})
    # Delete a row
    op = table.new_delete({'key': 2})
    # Flush write operations, if failures occur, capture print them.
    except kudu.KuduBadStatus as e:
    # Create a scanner and add a predicate
    scanner = table.scanner()
    scanner.add_predicate(table['ts_val'] == datetime(2017, 1, 1))
    # Open Scanner and read all tuples
    # Note: This doesn't scale for large scans
    result = scanner.open().read_all_tuples()