DataflowTemplate | Mercari Dataflow Template | GCP library
kandi X-RAY | DataflowTemplate Summary
kandi X-RAY | DataflowTemplate Summary
The Mercari Dataflow Template allows you to run various pipelines without writing programs by simply defining a configuration file. Mercari Dataflow Template is implemented as a FlexTemplate for Cloud Dataflow. Pipelines are assembled based on the defined configuration file and can be executed as Cloud Dataflow Jobs. See the Document for usage.
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Top functions reviewed by kandi - BETA
- Accumulate change records from table
- Create key and change record key
- Convert an object to a value
- Returns true if the given schema is JSON
- Accumulate change records
- Create key and change record key
- Convert an object to a value
- Returns true if the given schema is JSON
- Expand the input results
- Sets the parameters to the given buffer
- Gets a builder that allows to select fields
- Converts the GenericRecord to mutations
- Returns the value of a field
- Convert a DataChangeRecord to a DataChangeRow
- Sets the value of a field
- Converts the given struct to mutations
- Creates a Key from a GenericRecord
- Returns column type
- Creates SQL statement for insert operations
- Merge values into entity
- Gets the value of a row
- Expand results from input
- Upload a model to the server
- Convert a schema to a generic record
- Expand a list of results into a map
- Set the value of the given field
- Convert a DataChangeRecord to GenericRecord
- Converts the given entity to mutations
- Obtain the mutations from a row
DataflowTemplate Key Features
DataflowTemplate Examples and Code Snippets
Community Discussions
Trending Discussions on DataflowTemplate
QUESTION
TL;DR
Spring Cloud Data Flow does not allow multiple executions of the same Task even though the documentation says that this is the default behavior. How can we allow SCDF to run multiple instances of the same task at the same time using the Java DSL to launch tasks? To make things more interesting, launching of the same task multiple times works fine when directly hitting the rest enpoints using curl for example.
Background :
I have a Spring Cloud Data Flow Task that I have pre-registered in the Spring Cloud Data Flow UI Dashboard
...ANSWER
Answered 2021-May-12 at 16:57In this case it looks like you are trying to recreate the task definition. You should only need to create the task definition once. From this definition you can launch multiple times. For example:
QUESTION
Is there any Python template/script (existing or roadmap) for Dataflow/Beam to read from PubSub and write to BigQuery? As per the GCP documentation, there is only a Java template.
Thanks !
...ANSWER
Answered 2021-Feb-21 at 13:57You can find an example here Pub/Sub to BigQuery sample with template:
An Apache Beam streaming pipeline example.
It reads JSON encoded messages from Pub/Sub, transforms the message data, and writes the results to BigQuery.
Here's another example that shows how to handle invalid message from pubsub into a different table in Bigquery :
QUESTION
I have an IoT Pipeline in GCP that is structured like:
...ANSWER
Answered 2021-Jan-24 at 21:53This error was being caused because after every 10 seconds the pub/sub resent the messages that had not yet been acknowledged. This caused the total number of messages to grow rapidly as the number of devices sending the messages and the rate at which they sent them was already very high. So I increased this wait time to 30 seconds and the system calmed down. Now there is no large group of unacknowledged messages forming when I run the pipeline.
QUESTION
My pipeline is IoTCore -> Pub/Sub -> Dataflow -> BigQuery. Initially the data I was getting was Json format and the pipeline was working properly. Now I need to shift to csv and the issue is the Google defined dataflow template I was using uses Json input instead of csv. Is there an easy way of transfering csv data from pub/sub to bigquery through dataflow. The template can probably be changed but it is implemented in Java which I have never used so would take a long time to implement. I also considered implementing an entire custom template in python but that would take too long. Here is a link to the template provided by google: https://github.com/GoogleCloudPlatform/DataflowTemplates/blob/master/src/main/java/com/google/cloud/teleport/templates/PubSubToBigQuery.java
Sample: Currently my pub/sub messages are JSON and these work correctly
...ANSWER
Answered 2021-Jan-02 at 19:48Very easy: Do nothing!! If you have a look to this line you can see that the type of the messages used is the PubSub message JSON, not your content in JSON.
So, to prevent any issues (to query and to insert), write in another table and it should work nicely!
QUESTION
Can Google Dataflow CDC be used to copy the mysql DB tables for the very first time too or is it only used for change data going forward? https://github.com/GoogleCloudPlatform/DataflowTemplates/tree/master/v2/cdc-parent#deploying-the-connector
...ANSWER
Answered 2020-Oct-07 at 17:50The CDC solution you linked to includes the initial copy as part of its normal operation. When you first start it up, it will copy the current contents of the DB first, then continue to copy any updates.
QUESTION
unable to install apache maven packages in gcp console please let me know if any one resolves the issue. I'm trying to create dataflow pipeline following the below link enter link description here
...ANSWER
Answered 2020-Sep-02 at 08:14By now this is well known to developers bug, confirmed on my side, getting the same kafka-to-bigquery template compilation error around DataStreamClient class. Seems the new PR for CacheUtils.java is going to appear soon, more info here.
QUESTION
I'm trying to execute the Dataflow template named PubSubToBigQuery.java at a VM instance (OS: "linux", version: "4.9.0-11-amd64", Distributor: Debian GNU/Linux 9.11 (stretch)) to take input messages from a Pub/Sub subscription and write them in a BigQuery table (without modifying the template for the moment). In order to do this I cloned the GitHub DataflowTemplates repo into my Cloud Shell in the $HOME/opt/ directory. Following the README document I've installed Java 8 and Maven 3:
- Maven 3.3.9 (bb52d8502b132ec0a5a3f4c09453c07478323dc5; 2015-11-10T16:41:47+00:00) Maven home: /opt/maven Java version: 1.8.0_232, vendor: Oracle Corporation Java home: /usr/lib/jvm/java-8-openjdk-amd64/jre Default locale: en_US, platform encoding: UTF-8 OS name: "linux", version: "4.9.0-11-amd64", arch: "amd64", family: "unix"
After building the entire project, this is what I'm trying to execute from the comand line to compile the code:
...ANSWER
Answered 2019-Dec-09 at 10:48To clone, compile and run a Dataflow Template is necessary enable all the necessary APIs in your GCP project:
- Dataflow
- Compute Engine
- Stackdriver Logging
- Cloud Storage
- Cloud Storage JSON
- BigQuery
- PubSub
In order to do that you can click in this helper link:
QUESTION
Currently we are searching for the best way how we can convert raw data into common structure for further analysis. Our data is JSON files, some files has more fields, some less, some might have arrays, but in general it is pretty the same structure.
I'm trying to build Apache Beam pipeline in Java for this purpose. All my pipelines are based on this template: TextIOToBigQuery.java
First approach is to load entire JSON as string into one column and then use JSON Functions in Standard SQL to transform into common structure. This is well described here: How to manage/handle schema changes while loading JSON file into BigQuery table
Second approach is to load data into appropriate columns. So now data can be queried via standard SQL. It also requires to know schema. It is possible to detect it via console, UI and other: Using schema auto-detection, however I didn't find anything about how this can be achieved via Java and Apache Beam pipeline.
I analyzed BigQueryIO and looks like it cannot work without schema (with one exception, if table already created)
As I mentioned before, new files might bring new fields, so schema should be updated accordingly.
Let's say I have three JSON files:
...ANSWER
Answered 2019-Nov-16 at 13:54I did some tests where I simulate the typical auto-detect pattern: first I run through all the data to build a Map of all possible fields and the type (here I just considered String or Integer for simplicity). I use a stateful pipeline to keep track of the fields that have already been seen and save it as a PCollectionView. This way I can use .withSchemaFromView() as the schema is unknown at pipeline construction. Note that this approach is only valid for batch jobs.
First, I create some dummy data without a strict schema where each row may or may not contain any of the fields:
QUESTION
I'm exploring Apache Beam dataflow templates provided by GoogleCloudPlatform on Github.
In particular, I'm converting the PubSubToBigQuery template from Java into Kotlin.
By doing so, I get an Overload ambiguity resolution error in the MapElements.input(...).via(...) transform on line 274. The error message is:
ANSWER
Answered 2019-Aug-16 at 09:05The reason is that the overload rules are slightly different between Java and Kotlin, which means that in Kotlin there are two matching overloads;
QUESTION
I am instantiating PackageIdentifier class to pass it to DataFlowTemplate.streamOperations().updateStream(..) method, I set properties repositoryName and packageName, but I want to know if packageVersion is required property? Because I can see that it works without it.
It is just, I had an exception, but not able to reproduce it again, and was wondering if packageVersion is the cause of this problem?:
ANSWER
Answered 2019-Jun-25 at 18:39The packageVersion is not required as far as there is a package with the desired name (in this case the "stream name") that exists in Skipper database.
See: Stream.java#L112-L114.
As for the error, it could be that you were using H2 instead of a persistent database for Skipper, and upon a restart, perhaps your client/test continued to attempt an upgrade on the transient database that doesn't have any footprint anymore.
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Vulnerabilities
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Install DataflowTemplate
You can use DataflowTemplate like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the DataflowTemplate component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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