apache-beam

Apache Beam: Unable to find registrar for gs

℡╲_俬逩灬. 提交于 2019-11-28 08:12:07
问题 Beam is using both Google's auto/value and auto/service tools. I want to run a pipeline with Dataflow runner and data is stored on Google Cloud Storage. I've added a dependencies: <dependency> <groupId>org.apache.beam</groupId> <artifactId>beam-runners-google-cloud-dataflow-java</artifactId> <version>2.0.0</version> </dependency> <dependency> <groupId>org.apache.beam</groupId> <artifactId>beam-sdks-java-extensions-google-cloud-platform-core</artifactId> <version>2.0.0</version> </dependency>

Read a file from GCS in Apache Beam

荒凉一梦 提交于 2019-11-28 01:26:15
I need to read a file from a GCS bucket. I know I'll have to use GCS API/Client Libraries but I cannot find any example related to it. I have been referring to this link in the GCS documentation: GCS Client Libraries . But couldn't really make a dent. If anybody can provide an example that would really help. Thanks. OK. If you want to simply read files from GCS, not as a PCollection but as regular files, and if you are having trouble with the GCS Java client libraries, you can also use the Apache Beam FileSystems API: First, you need to make sure that you have a Maven dependency in your pom

join two json in Google Cloud Platform with dataflow

蓝咒 提交于 2019-11-27 12:36:29
问题 I want to find out only female employees out of the two different JSON files and select only the fields which we are interested in and write the output into another JSON. Also I am trying to implement it in Google's cloud platform using Dataflow. Can someone please provide any sample Java code which can be implemented to get the result. Employee JSON {"emp_id":"OrgEmp#1","emp_name":"Adam","emp_dept":"OrgDept#1","emp_country":"USA","emp_gender":"female","emp_birth_year":"1980","emp_salary":"

Watching for new files matching a filepattern in Apache Beam

醉酒当歌 提交于 2019-11-27 09:20:46
I have a directory on GCS or another supported filesystem to which new files are being written by an external process. I would like to write an Apache Beam streaming pipeline that continuously watches this directory for new files and reads and processes each new file as it arrives. Is this possible? This is possible starting with Apache Beam 2.2.0. Several APIs support this use case: If you're using TextIO or AvroIO , they support this explicitly via TextIO.read().watchForNewFiles() and the same on readAll() , for example: PCollection<String> lines = p.apply(TextIO.read() .from("gs://path/to

Explain Apache Beam python syntax

半世苍凉 提交于 2019-11-27 05:29:54
问题 I have read through the Beam documentation and also looked through Python documentation but haven't found a good explanation of the syntax being used in most of the example Apache Beam code. Can anyone explain what the _ , | , and >> are doing in the below code? Also is the text in quotes ie 'ReadTrainingData' meaningful or could it be exchanged with any other label? In other words how is that label being used? train_data = pipeline | 'ReadTrainingData' >> _ReadData(training_data) evaluate

Read a file from GCS in Apache Beam

允我心安 提交于 2019-11-26 21:54:03
问题 I need to read a file from a GCS bucket. I know I'll have to use GCS API/Client Libraries but I cannot find any example related to it. I have been referring to this link in the GCS documentation: GCS Client Libraries. But couldn't really make a dent. If anybody can provide an example that would really help. Thanks. 回答1: OK. If you want to simply read files from GCS, not as a PCollection but as regular files, and if you are having trouble with the GCS Java client libraries, you can also use

Writing different values to different BigQuery tables in Apache Beam

不想你离开。 提交于 2019-11-26 15:29:50
Suppose I have a PCollection<Foo> and I want to write it to multiple BigQuery tables, choosing a potentially different table for each Foo . How can I do this using the Apache Beam BigQueryIO API? This is possible using a feature recently added to BigQueryIO in Apache Beam. PCollection<Foo> foos = ...; foos.apply(BigQueryIO.write().to(new SerializableFunction<ValueInSingleWindow<Foo>, TableDestination>() { @Override public TableDestination apply(ValueInSingleWindow<Foo> value) { Foo foo = value.getValue(); // Also available: value.getWindow(), getTimestamp(), getPane() String tableSpec = ...;

Watching for new files matching a filepattern in Apache Beam

我只是一个虾纸丫 提交于 2019-11-26 14:41:31
问题 I have a directory on GCS or another supported filesystem to which new files are being written by an external process. I would like to write an Apache Beam streaming pipeline that continuously watches this directory for new files and reads and processes each new file as it arrives. Is this possible? 回答1: This is possible starting with Apache Beam 2.2.0. Several APIs support this use case: If you're using TextIO or AvroIO , they support this explicitly via TextIO.read().watchForNewFiles() and

Writing different values to different BigQuery tables in Apache Beam

ぃ、小莉子 提交于 2019-11-26 04:28:09
问题 Suppose I have a PCollection<Foo> and I want to write it to multiple BigQuery tables, choosing a potentially different table for each Foo . How can I do this using the Apache Beam BigQueryIO API? 回答1: This is possible using a feature recently added to BigQueryIO in Apache Beam. PCollection<Foo> foos = ...; foos.apply(BigQueryIO.write().to(new SerializableFunction<ValueInSingleWindow<Foo>, TableDestination>() { @Override public TableDestination apply(ValueInSingleWindow<Foo> value) { Foo foo =