Thanks @Ning Kang.

@Robert Bradshaw I assume you are referring to 
https://beam.apache.org/releases/pydoc/2.22.0/apache_beam.runners.interactive.interactive_beam.html.
 Is there a java version for it?



On 4/30/21, 11:00 AM, "Robert Bradshaw" <rober...@google.com> wrote:

    You can also use interactive Beam's collect, to get the PCollection as
    a Dataframe, and then print it or do whatever else with it as you
    like.

    On Fri, Apr 30, 2021 at 10:24 AM Ning Kang <ni...@google.com> wrote:
    >
    > Hi Tao,
    >
    > The `show()` API works with any IPython notebook runtimes, including 
Colab, Jupyter Lab and pre-lab Jupyter Notebooks, as long as you have `%pip 
install apache-beam[interactive]`.
    >
    > Additionally, the `show_graph()` API needs GraphViz binary installed, 
details can be found in the README.
    >
    > If you've created an Apache Beam notebook instance on Google Cloud, there 
is an example notebook "Examples/Visualize_Data.ipynb" demonstrating how to 
visualize data of PCollections with different libraries:
    >
    > Native Interactive Beam Visualization
    > Pandas DataFrame
    > Matplotlib
    > Seaborn
    > Bokeh
    > D3.js
    >
    > Hope this helps!
    >
    > Ning
    >
    > On Fri, Apr 30, 2021 at 9:24 AM Brian Hulette <bhule...@google.com> wrote:
    >>
    >> +Ning Kang +Sam Rohde
    >>
    >> On Thu, Apr 29, 2021 at 6:13 PM Tao Li <t...@zillow.com> wrote:
    >>>
    >>> Hi Beam community,
    >>>
    >>>
    >>>
    >>> The notebook console from Google Cloud defines a show() API to display 
a PCollection which is very neat: 
https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcloud.google.com%2Fdataflow%2Fdocs%2Fguides%2Finteractive-pipeline-development&amp;data=04%7C01%7Ctaol%40zillow.com%7Cc17e88a15ae34f84412908d90c01d404%7C033464830d1840e7a5883784ac50e16f%7C0%7C0%7C637554024259762896%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&amp;sdata=6tm5K%2BwZhuNhBtxsCu4AIHtBZpoTj2kgfHkeDzjLQ1g%3D&amp;reserved=0
    >>>
    >>>
    >>>
    >>> If we are using a regular jupyter notebook to run beam app, how can we 
print out a PCollection easily? What’s the best practice? Thanks!
    >>>
    >>>

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