materialize | distributed SQL database built on streaming internals
kandi X-RAY | materialize Summary
kandi X-RAY | materialize Summary
Materialize lets you ask questions of your live data, which it answers and then maintains for you as your data continue to change. The moment you need a refreshed answer, you can get it in milliseconds. Materialize is designed to help you interactively explore your streaming data, perform data warehousing analytics against live relational data, or just increase the freshness and reduce the load of your dashboard and monitoring tasks. Materialize focuses on providing correct and consistent answers with minimal latency. It does not ask you to accept either approximate answers or eventual consistency. Whenever Materialize answers a query, that answer is the correct result on some specific (and recent) version of your data. Materialize does all of this by recasting your SQL92 queries as dataflows, which can react efficiently to changes in your data as they happen. Materialize is powered by timely dataflow, which connects the times at which your inputs change with the times of answers reported back to you.
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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 yourjobname
and then just that in the where clause of the mv aswhere id >= idinbookmark
conn = 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
transform file/directory structure into 'tree' in vue json
I have an array of objects that looks like this:
...ANSWER
Answered 2021-Jun-11 at 09:55EDIT
Here is the full implementation, based upon my initial answer. I changed the forEach() into map() as it is more suitable in this case.
QUESTION
Using below code I'm attempting to use an actor as a source and send messages of type Double to be processed via a sliding window.
The sliding windows is defined as sliding(2, 2)
to calculate each sequence of twp values sent.
Sending the message:
...ANSWER
Answered 2021-Jun-14 at 11:39The short answer is that your source
is a recipe of sorts for materializing a Source
and each materialization ends up being a different source.
In your code, source.to(Sink.foreach(System.out::println)).run(system)
is one stream with the materialized actorRef
being only connected to this stream, and
QUESTION
- I would have expected the queryOutput to be materialized?
- Why is there the invalid attempt to call fieldcount when it alreadyhas the IEnumerable?
ANSWER
Answered 2021-Jun-12 at 20:53Dapper's supposed to make your life easier, and that code looks complicated.
If you use a Tuple with named fields, you can just use Dapper's auto mapping to materialize. EG:
QUESTION
I'm trying to learn Recurrent Neural Networks (RNN) with Flux.jl in Julia by following along some tutorials, like Char RNN from the FluxML/model-zoo.
I managed to build and train a model containing some RNN cells, but am failing to evaluate the model after training.
Can someone point out what I'm missing for this code to evaluate a simple (untrained) RNN?
...ANSWER
Answered 2021-Jun-11 at 12:27Turns out it's just a problem with the input type.
Doing something like this will work:
QUESTION
When reading about CQRS it is often mentioned that the write model should not depend on any read model (assuming there is one write model and up to N read models). This makes a lot of sense, especially since read models usually only become eventually consistent with the write model. Also, we should be able to change or replace read models without breaking the write model.
However, read models might contain valuable information that is aggregated across many entities of the write model. These aggregations might even contain non-trivial business rules. One can easily imagine a business policy that evaluates a piece of information that a read model possesses, and in reaction to that changes one or many entities via the write model. But where should this policy be located/implemented? Isn't this critical business logic that tightly couples information coming from one particular read model with the write model?
When I want to implement said policy without coupling the write model to the read model, I can imagine the following strategy: Include a materialized view in the write model that gets updated synchronously whenever a relevant part of the involved entities changes (when using DDD, this could be done via domain events). However, this denormalizes the write model, and is effectively a special read model embedded in the write model itself.
I can imagine that DDD purists would say that such a policy should not exist, because it represents a business invariant/rule that encompasses multiple entities (a.k.a. aggregates). I could probably agree in theory, but in practice, I often encounter such requirements anyway.
Finally, my question is simply: How do you deal with requirements that change data in reaction to certain conditions whose evaluation requires a read model?
...ANSWER
Answered 2021-Jun-07 at 01:20First, any write model which validates commands is a read model (because at some point validating a command requires a read), albeit one that is optimized for the purpose of validating commands. So I'm not sure where you're seeing that a write model shouldn't depend on a read model.
Second, a domain event is implicitly a command to the consumers of the event: "process/consider/incorporate this event", in which case a write model processor can subscribe to the events arising from a different write model: from the perspective of the subscribing write model, these are just commands.
QUESTION
I have a simple WebApp application that reads the data from google sheet and displays in HTML using materialize css( 1.0.0), JS. I am new to this stack of tools. HTML page has 2 containers and bottom one supposed to be populated (using innerHTML assignment)based on the selection on the top container. The bottom container content is simple card contents in table format. I want to put a HTML Select object with List of values to be displayed and created a Appscript function. I am assigning the function output to innerHTML like this. -- JS
...ANSWER
Answered 2021-Jun-09 at 22:03I was using google Webapp. It looks google doesn't allow the editing of dynamically created items. So I ended up using Modals to make the selections and save it.
QUESTION
I have a basic CSS photo gallery that works pretty well on desktop devices, and works well also if I simulate a mobile view in Mozilla Responsive Design Mode or this CodePen but doesn't seems to work properly on real mobile devices.
...ANSWER
Answered 2021-Jun-09 at 12:02The flex children are set to stretch by default. And when your child, that is, img tag is set to "height:auto;". It stretches.
You can change that behavior with "align-items" property.
QUESTION
I want to prepend a new iterator to my existing iterator.
How can I prepend a new Iterator to an existing Iterator?
Why does my code cause my REPL to hang?
The following hangs indefinitely in my REPL:
...ANSWER
Answered 2021-Jun-07 at 23:22Simply speaking, it hangs because you have there an infinite loop. In the line where you think you are merging iterators, you are actually referencing the new i
(laziness) and not the initial value of i
.
You can get over that by introducing a new var as Luis Miguel pointed out
QUESTION
ANSWER
Answered 2021-Jun-05 at 14:21Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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