I’m trying to run a simple Beam pipeline to extract data from a BQ table using SQL and push to a GCS bucket. My requirement is to pass the SQL from a file (a simple .sql file) and not as a string. I want to modularize the SQL. So far, I’ve tried the following option – it did not work:
Tag: apache-beam
Java must be installed on this system to use this when using dataflow flex template python
I’m using SQL transform of apache_beam python and deploy to Dataflow by Flex Template. The pipeline show the error: Java must be installed on this system to use. I know the SQL transform of beam python using Java, I researched the way to add Java to pipeline but all failed. Can you give any advice on how to fix this
Apache beam: Reading and transforming multiple data types from single file
Is there a way to read each data type as it is by a PCollection from a CSV file? By default, all the values in a row read by a PCollection are converted into a list of strings, but is there a way such that, an integer is considered as integer, float as float, double as double, and string as
How to Read data from Jdbc and write to bigquery using Apache Beam Python Sdk
I am trying to write a Pipeline which will Read Data From JDBC(oracle,mssql) , do something and write to bigquery. I am Struggling in the ReadFromJdbc steps where it was not able to convert it correct schema type. My Code: My data has three columns two of which are Varchar and one is timestamp. Error which i am facing while
Apache Beam Python: returning conditional statement using ParDo class
I want to check, if the CSV file we read in the pipeline of apache beam, satisfies the format I’m expecting it to be in [Ex: field check, type check, null value check, etc.], before performing any transformation. Performing these checks outside the pipeline for every file will take away the concept of parallelism, so I just wanted to know
ModuleNotFoundError in Dataflow job
I am trying to execute a apache beam pipeline as a dataflow job in Google Cloud Platform. My project structure is as follows: Here’s my setup.py Here’s my pipeline code: Functionality of pipeline is Query against BigQuery Table. Count the total records fetched from querying. Print using the custom Log module present in utils folder. I am running the job
How to read multiple JSON files from GCS bucket in google dataflow apache beam python
I’m having a bucket in GCS that contain list of JSON files. I came to extract the list of the file names using Now I want to pass this list of filenames to apache beam to read them. I wrote this code, but it doesn’t seem a good pattern Have you faced the same issue before? Answer In the end
Dataflow Bigquery-Bigquery pipeline executes on smaller data, but not the large production dataset
A little bit of a newbie to Dataflow here, but have succesfully created a pipleine that works well. The pipleine reads in a query from BigQuery, applies a ParDo (NLP fucntion) and then writes the data to a new BigQuery table. The dataset I am trying to process is roughly 500GB with 46M records. When I try this with a
Libraries cannot be found on Dataflow/Apache-beam job launched from CircleCI
I am having serious issues running a python Apache Beam pipeline using a GCP Dataflow runner, launched from CircleCI. I would really appreciate if someone could give any hint on how to tackle this, I’ve tried it all but nothing seems to work. Basically, I’m running this python Apache Beam pipeline which runs in Dataflow and uses google-api-python-client-1.12.3. If I
Read whole file in Apache Beam
Is it possible to read whole file (not line by line) in Apache Beam? For example, I want to read multiline JSONs, and my idea is to read file by file, extract data from each file and create PCollection from lists. Is it good idea or it’s better to preprocess source JSONs to one JSON file where each line is