serverless | The Power of Serverless for Front-End Developers | Serverless library
kandi X-RAY | serverless Summary
kandi X-RAY | serverless Summary
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QUESTION
I have an Aurora Serverless instance which has data loaded across 3 tables (mixture of standard and jsonb data types). We currently use traditional views where some of the deeply nested elements are surfaced along with other columns for aggregations and such.
We have two materialized views that we'd like to send to Redshift. Both the Aurora Postgres and Redshift are in Glue Catalog and while I can see Postgres views as a selectable table, the crawler does not pick up the materialized views.
Currently exploring two options to get the data to redshift.
- Output to parquet and use copy to load
- Point the Materialized view to jdbc sink specifying redshift.
Wanted recommendations on what might be most efficient approach if anyone has done a similar use case.
Questions:
- In option 1, would I be able to handle incremental loads?
- Is bookmarking supported for JDBC (Aurora Postgres) to JDBC (Redshift) transactions even if through Glue?
- Is there a better way (other than the options I am considering) to move the data from Aurora Postgres Serverless (10.14) to Redshift.
Thanks in advance for any guidance provided.
...ANSWER
Answered 2021-Jun-15 at 13:51Went with option 2. The Redshift Copy/Load process writes csv with manifest to S3 in any case so duplicating that is pointless.
Regarding the Questions:
N/A
Job Bookmarking does work. There is some gotchas though - ensure Connections both to RDS and Redshift are present in Glue Pyspark job, IAM self ref rules are in place and to identify a row that is unique [I chose the primary key of underlying table as an additional column in my materialized view] to use as the bookmark.
Using the primary key of core table may buy efficiencies in pruning materialized views during maintenance cycles. Just retrieve latest bookmark from cli using
aws glue get-job-bookmark --job-name yourjobnameand then just that in the where clause of the mv aswhere id >= idinbookmarkconn = glueContext.extract_jdbc_conf("yourGlueCatalogdBConnection")connection_options_source = { "url": conn['url'] + "/yourdB", "dbtable": "table in dB", "user": conn['user'], "password": conn['password'], "jobBookmarkKeys":["unique identifier from source table"], "jobBookmarkKeysSortOrder":"asc"}
datasource0 = glueContext.create_dynamic_frame.from_options(connection_type="postgresql", connection_options=connection_options_source, transformation_ctx="datasource0")
That's all, folks
QUESTION
I am receiving the error "The query references an object that is not supported in distributed processing mode" when using the HASHBYTES() function to hash rows in Synapse Serverless SQL Pool.
The end goal is to parse the json and store it as parquet along with a hash of the json document. The hash will be used in future imports of new snapshots to identify differentials.
Here is a sample query that produces the error:
...ANSWER
Answered 2021-Jan-06 at 11:19Jason, I'm sorry, hashbytes() is not supported against external tables.
QUESTION
Below is the code and the error that I'm getting while testing in Lambda. I'm a newbie in python & serverless. Please help. This is created for uploading the findings from the security hub to S3 for POC.
...ANSWER
Answered 2021-Jun-12 at 16:33When we use Lambda we need to write our code inside the lambda_handler method
"def lambda_handler(event, context):" .
As you mentioned you are using lambda to run this code then probably the below code should work for you.
QUESTION
I am trying to create a simple Azure function app that receives image binary from HTTP request and write to blob storage using C# and Serverless Framework.
The C# function code looks is as follow:
...ANSWER
Answered 2021-Jun-12 at 12:33If I run your code locally, following exception is displayed:
Microsoft.Azure.WebJobs.Host: Error indexing method 'upload'. Microsoft.Azure.WebJobs.Host: Unable to resolve binding parameter 'name'. Binding expressions must map to either a value provided by the trigger or a property of the value the trigger is bound to, or must be a system binding expression (e.g. sys.randguid, sys.utcnow, etc.).
As mentioned in the error message, you have to specify the variable in the trigger. I guess, binding to the query-parameter is still not possible in Azure Functions.
So you have to specify it in the route:
QUESTION
const withPlugins = require('next-compose-plugins');
const optimizedImages = require('next-optimized-images');
const nextConfiguration = {
target: 'serverless',
};
module.exports = withPlugins([optimizedImages], nextConfiguration);
trailingSlash: true
historyApiFallback: true
ANSWER
Answered 2021-Jun-11 at 10:15Just like this:
QUESTION
i use node server running in cloudrun, i want to use node-mongotools npm package to download db dump as described in https://www.npmjs.com/package/node-mongotools into google cloud storage. since cloudrun being serverless there is instance disk access. is there a way to stream dump to cloud storage as dump is being created.
end goal is to create mongodb dump into cloud storage using cloudrun
can anyone suggest any other solution to achieve the same.
...ANSWER
Answered 2021-Jun-10 at 15:41In serverless, you haven't access to disk, yet. But you can store the data in memory, (up to 8Gb of memory for now, soon more).
Thus, you can export a collection in memory and then upload it to Cloud Storage. Delete the collection (cleanup the memory) et repeat the action on the next collections.
There are no blocker here, as long as you stay in the memory limit.
QUESTION
I have a really serious question I didn't find the answer about Vercel (NextJS).
I am trying to deploy the project on Versel and I am using some structures to get data from API, example:
...ANSWER
Answered 2021-Jun-09 at 15:59How I partially solved my issue
Instead of using getStaticProps and getServerSideProps to fetch data from API, I am using useSWR library. This solution seems to be good with local and production versions.
1.Change to useSWR instead of getStaticProps
not working code with getStaticProps
QUESTION
I am in search of performance benchmarks for querying parquet ADLS files with the standard dedicated sql pool using external tables with polybase vs. serverless sql pool and OPENROWSET views. From my base queries on a 1.5 billion record table, it does appears OPENROWSET in serverless sql pool is around 30% more performant given time for the same query, but what are the architecture that power that? Are there any readily available performance benchmarks?
...ANSWER
Answered 2021-Jun-09 at 09:33The architecture behind Azure Synapse SQL Serverless Pools and how it achieves such a strong performance is described in this paper, it is called "Polaris".
http://www.vldb.org/pvldb/vol13/p3204-saborit.pdf
Performance benchmarks have been published on multiple blogs. Be aware that this can only be a snapshot in time as those features are being improved constantly.
QUESTION
i'm making a migration from Table Storage to Cosmos DB. I've created a serveless Cosmos DB (Table Azure)
When i execute the below code
...ANSWER
Answered 2021-Jun-07 at 17:07Serverless table creation with the .NET Tables SDK works in REST mode only
You can try the below code,
QUESTION
I use Google Cloud Run to deploy my serverless API server, and it require the client to send access token in Authorization header for authentication.
However, Google Cloud Service is private at default, and I don't want to make it pubic accessible. So I have to request with my identity token in Authorization header.
Then, how should I test my serverless API server if Authorization header is already used?
...ANSWER
Answered 2021-Jun-06 at 12:14You need to use a custom header for your application, and to use the standard Authorization headers for Cloud Run (in fact for Google Front End which will check the header before forwarding the request to Cloud Run, if it is valid)
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