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&data=04%7C01%7Ctaol%40zillow.com%7Cc17e88a15ae34f84412908d90c01d404%7C033464830d1840e7a5883784ac50e16f%7C0%7C0%7C637554024259762896%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=6tm5K%2BwZhuNhBtxsCu4AIHtBZpoTj2kgfHkeDzjLQ1g%3D&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! >>> >>>