shared-dependencies | example microfrontend repo demonstrating how to use

by polyglot-microfrontends JavaScript Version: Current License: MIT

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kandi X-RAY | shared-dependencies Summary

shared-dependencies is a JavaScript library. shared-dependencies has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This is an example microfrontend repo demonstrating how to use single-spa. You can see the code running at The full, deployed import map is visible at

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shared-dependencies has a low active ecosystem.

It has 9 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

shared-dependencies has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of shared-dependencies is current.

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shared-dependencies has no bugs reported.

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shared-dependencies has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

shared-dependencies is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

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shared-dependencies releases are not available. You will need to build from source code and install.

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Community Discussions

Trending Discussions on shared-dependencies

Getting Issue while writing to BigTable using bulkput API after upgrading Spark and Scala Version

Facing Issue while using Spark-BigQuery-Connector with Java

Issue with Spark Big Query Connector with Java

QUESTION

Getting Issue while writing to BigTable using bulkput API after upgrading Spark and Scala Version

Asked 2020-Nov-18 at 01:49

I'm writing into BigTable using JavaHBaseContext bulkput API. This is working fine with below spark and scala version

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ANSWER

Answered 2020-Nov-18 at 01:49

Seems the exception has to do with the dependency org.apache.hbase:hbase-spark:2.0.2.3.1.0.0-78:

java.lang.NoClassDefFoundError: Could not initialize class org.apache.hadoop.hbase.spark.HBaseConnectionCache$ at org.apache.hadoop.hbase.spark.HBaseContext.org$apache$hadoop$hbase$spark$HBaseContext$$hbaseForeachPartition(HBaseContext.scala:488) at org.apache.hadoop.hbase.spark.HBaseContext$$anonfun$bulkPut$1.apply(HBaseContext.scala:225) at org.apache.hadoop.hbase.spark.HBaseContext$$anonfun$bulkPut$1.apply(HBaseContext.scala:225)

From the maven page, we can see it is built with Scala 2.11, which might explain it doesn't work with Dataproc 1.5 which comes with Scala 2.12.

I think you can try Dataproc 1.4 which comes with Spark 2.4 and Scala 2.11.12, and update your app's dependency accordingly.

Source https://stackoverflow.com/questions/64877813

QUESTION

Facing Issue while using Spark-BigQuery-Connector with Java

Asked 2020-Nov-06 at 05:52

I am able to read the data from BigQuery table via spark big query connector from local, but when I deploy this in Google Cloud and running via dataproc, I am getting below exception.If you see the below logs, its able to identify the schema of the table and after that it waited for 8-10 mins and threw the below exception. Can someone help on this?

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ANSWER

Answered 2020-Nov-06 at 05:52

For other's,

Here is the big-query dependency I used and its working fine now.

Source https://stackoverflow.com/questions/64609741

QUESTION

Issue with Spark Big Query Connector with Java

Asked 2020-Nov-05 at 22:09

Getting Below issue with the Spark Big Query connector in Dataproc cluster with below configuraton. Image: 1.5.21-debian10 Spark Version: 2.4.7 Scala Version: 2.12.10

This is working fine from local but failing when I deploy this in dataproc cluster.Can someone suggest some pointers for this issue?

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ANSWER

Answered 2020-Nov-05 at 22:09

Can you please replace the Spark BigQuery connector to the shaded one?

Source https://stackoverflow.com/questions/64697490

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