Problem description

Be able to read public GCS files without providing credentials.

Steps/code to reproduce the problem

path = "gs://tensorflow-nightly/prod/tensorflow/release/ubuntu_16/gpu_py37_full/nightly_release/18/20190813-010608/github/tensorflow/pip_pkg/tf_nightly_gpu-1.15.0.dev20190813-cp37-cp37m-linux_x86_64.whl"

import smart_open
try:
    f = smart_open.s

We're working on having the backends in a more standardized and structured way. We are finishing moving backends to the backends/ directory, and moving shared code among backends to backends/base_*. The backends based on SQLAlchemy historically lived in ibis/sql. We moved them (MySQL move is still not merged at the time of writing this, see #2446), and after all backends are moved, would be

Similar to how unix ls works, param could be -t

Hi dear community,

I am working with dx radar product from DWD (the German Weather Service) and the new batch of dx files that they provided to me for a new radar location are causing the following error in the first step if my processing in the wrl.io.read_dx(dx) function:

 "ValueError: could not convert string to float: 'X01'"

Could anyone tell me if this is a problem from the files

Given the new key-value store event stream, it'd be nice to have something like:

$ skein kv events <application id> [options...]

where the process blocks, and logs the event stream to the console until interrupted. This would be useful for debugging, as well as demos.

Assuming a valid hive-site.xml, it will be possible to determine the active hive warehouse HDFS directory and HiveServer2 and Metastore URIs.

From there we should be able to perform a directory analysis on the hive warehouse parent directory and then all HDFS locations that represent tables / partitions.