gxercavins

package org.apache.beam.examples;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.Arrays;
import java.util.List;
import java.util.stream.Collectors;
import org.apache.beam.sdk.Pipeline;
import org.apache.beam.sdk.coders.StringUtf8Coder;
import org.apache.beam.sdk.extensions.sql.SqlTransform;

gxercavins

import argparse, json, logging, time

import apache_beam as beam
import apache_beam.transforms.window as window
from apache_beam.io import filesystems
from apache_beam.options.pipeline_options import PipelineOptions
from apache_beam.options.pipeline_options import SetupOptions


class AddWindowingInfoFn(beam.DoFn):

gxercavins

import argparse
import logging
import re

import apache_beam as beam
from apache_beam.io import WriteToText
from apache_beam.options.pipeline_options import PipelineOptions
from apache_beam.options.pipeline_options import SetupOptions

# input file pattern will be a template parameter

gxercavins

package com.dataflow.samples;

import java.io.IOException;
import java.time.LocalDateTime;
import java.time.ZonedDateTime;
import java.time.ZoneId;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import java.util.Set;

gxercavins

import argparse, logging

import apache_beam as beam
from apache_beam.options.pipeline_options import PipelineOptions
from apache_beam.options.pipeline_options import SetupOptions


def compute_interest_map(data_item):
  return data_item + 1

gxercavins

/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0

gxercavins

package com.dataflow.samples;

import org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO;
import org.apache.beam.sdk.io.gcp.bigquery.DynamicDestinations;
import org.apache.beam.sdk.io.gcp.bigquery.TableDestination;
import org.apache.beam.sdk.Pipeline;
import org.apache.beam.sdk.options.Description;
import org.apache.beam.sdk.options.PipelineOptions;
import org.apache.beam.sdk.options.PipelineOptionsFactory;
import org.apache.beam.sdk.transforms.Create;

gxercavins

import time
from random import choice, random

from google.cloud import pubsub_v1

# replace these variables
project_id = "PROJECT_ID"
topic_name = "TOPIC_NAME"

publisher = pubsub_v1.PublisherClient()

gxercavins

package com.dataflow.samples;

import java.util.Arrays;
import java.util.List;

import org.apache.beam.sdk.Pipeline;
import org.apache.beam.sdk.options.PipelineOptions;
import org.apache.beam.sdk.options.PipelineOptionsFactory;
import org.apache.beam.sdk.transforms.Create;
import org.apache.beam.sdk.transforms.DoFn;

gxercavins

yield element
INFO:root:Event: {'score': 10, 'team': 'red'}
INFO:root:Event: {'score': 10, 'team': 'red'}
INFO:root:Event: {'score': 8, 'team': 'blue'}
INFO:root:Event: {'score': 8, 'team': 'blue'}

return element
INFO:root:Event: {'score': 10, 'team': 'red'}
INFO:root:Event: score
INFO:root:Event: team