registrator | Service registry bridge for Docker | Continuous Deployment library

The cluster is HDInsight 4.0 and has 250 GB RAM and 75 VCores.

I am running only one job and the cluster is always allocating 66 GB, 7 VCores and 7 Containers to the job even though we have 250 GB and 75 VCores available for use. This is not particular to one job. I have ran 3 different jobs and all have this issue. when I run 3 jobs in parallel , the cluster is still allocating 66 GB RAM to each job. Looks like there is some static setting configured.

The following is the queue setup

I am using a tool called Talend(ETL tool similar to informatica) where I have a GUI to create a job . The tool is eclipse based and below is the code generated for spark configuration. This is then given to LIVY for submission in the cluster.

I hope someone can help me out with this since when I drop a JSON test file in my rcv-folder the only result is that in the BizTalk console (in 'Running instances'), the message only states 'Queued (Awaiting processing)'. I am not sure where my issue is in the code.

I am supposed to receive a JSON which will contain some info and possibly multiple attachments (in Base64 format) and then send the mail out (with attachments in correct format, i.e. PDF, txt, xls) to a certain email-address. One of the requirements is to not use an orchestration. But I am stuck and have no idea what I am doing anymore. What makes this question different from others is that I have no orchestration in my solution. Everything will be processed in a custom send pipeline component. The sendpipeline (in encode stage) does contain my custom component and also the MIME/SMIME encoder. I am using the SMTP-adapter.

I have created the custom pipeline component with a wizard and my initial plan was in the form below:

1. Receive the file (in JSON-format. It will be transformed into XML for further processing). This will all be taken care of in my rcv-pipeline and this step already works for me.
2. Pick out all the necessary variables from XML needed to send in the e-mail. These variables are the ones I want to show in the E-mail text. Not sure how to explain it better.
3. Pick out all the attachments in base64, loop through them, convert to 'regular files' and then attach them to the mail (with correct filenames, extension etc.)

The XML looks like below:

Trying to implement an auto dependency injection registrator, my conventions are very strict so it will be very useful.

I'm having issues with registering classes containing async methods, the container seems to adress to these methods while registering the class.

• The Soruce generator is netstandard2.0
• The Models and the Executable are net5.0
• When the method is not asynchronous everything works perfectly
• The MetadataReference are not actually needed I just want to avoid answers addressing to those

Some of the reproduction errors:

• CS0103 The name 'd__0' does not exist in the current context
• CS0103 The name 'TestMethod' does not exist in the current context
• CS1525 Invalid expression term '<'
• CS1002 ; expected

I'm using Apache Spark with Apache Sedona (previously called GeoSpark), and I'm trying to do the following:

1. Take a DataFrame containing latitude and longitude in each row (it comes from an arbitrary source, it neither is a PointRDD nor comes from a specific file format) and transform it into a DataFrame with the H3 index of each point.
2. Take that DataFrame and create a PolygonRDD containing the H3 cell boundaries of each distinct H3 index.

This is what I have so far:

I use the newest snapshot of Apache Sedona (1.3.2-SNAPSHOT) to do some geospatial work with my Apache Spark 3.0.1 on a docker cluster.

When trying out the first example in the tutorials section (http://sedona.apache.org/tutorial/sql/), I am suffering a NoClassDefException as a cause of a ClassNotFoundException:

I’m trying to integrate spark(3.1.1) and hive local metastore (3.1.2) to use spark-sql.

i configured the spark-defaults.conf according to https://spark.apache.org/docs/latest/sql-data-sources-hive-tables.html and hive jar files exists in correct path.

but an exception occurred when execute 'spark.sql("show tables").show' like below.

any mistakes, hints, or corrections would be appreciated.

I have a handful of spring-boot microservices which register themselves with spring-boot-admin (SBA). When I run the microservices and the SBA server locally, the clients are able to register themselves with the SBA server via HTTP.

When I deploy the apps to the Kubernetes cluster, registration with SBA is done via HTTPS (via an Ingress) I get a javax.net.ssl.SSLHandshakeException in the logs

Question regarding SpringBot admin deployed on Kubernetes.

The SpringBoot Admin server starts fine.

Then, the SpringBoot app (client) starts fine.

The SpringBoot client application correctly registered himself. (Can see

I want to register open generic interception, so I modified explample from https://github.com/dadhi/DryIoc/blob/master/docs/DryIoc.Docs/Interception.md