aurora | Aurora runs on SmartMatrix , a beautiful music visualizer | Animation library
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kandi X-RAY | aurora Summary
Aurora runs on SmartMatrix, a dynamic LED art display and music visualizer.
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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 very new to swift. So TLDR I have a collection view which I want to update after I click a button. I have seen various solutions and everyone suggesting to put collectionView.reloadData but I am not understanding where to put this line in my code. Any help will be appreciated. This is the view controller:
...ANSWER
Answered 2021-Jun-14 at 11:26You can try like this
QUESTION
I am getting the below error when trying to use the JSON_TABLE() function in MySQL 5.7–compatible Amazon Aurora.
Error Code: 1064. You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near '(@json_col, '$.people[*]' COLUMNS ( name VARCHAR(40) PATH '$.na' at line 1
In Amzon Mysql JSON Documentation states that it supports a lot of JSON function. However JSON_TABLE is not listed among them.
I can execute the below query in Mysql 8(Which is not AWS Aurora) and it gives me the below result.
...ANSWER
Answered 2021-Jun-07 at 11:38SELECT JSON_UNQUOTE(JSON_EXTRACT(@json_col, CONCAT('$.people[', num, '].name'))) name
FROM ( SELECT 0 num UNION ALL
SELECT 1 UNION ALL
SELECT 2 UNION ALL
SELECT 3 UNION ALL
SELECT 4 UNION ALL
SELECT 5 ) numbers
HAVING name IS NOT NULL;
QUESTION
I have Amazon Aurora for MySQL t3.db.medium instances. I would like to scale down to t3.db.small.
If I modify the instance settings in AWS console, will my DB data be preserved? So can I scale down without service interruption? I think I should be able to do this, but I just wanna make sure. There is prod instance involved.
I have the same question about Elastic Cache (AWS redis). Can I scale that down without service interruption?
...ANSWER
Answered 2021-Jun-11 at 12:07According to Docs, there is table(DB instance class) which tells which settings can be changed, you can change your instance class for your aurora, as a note An outage occurs during this change.
For redis
according to docs, you can scale down node type of your redis cluster (version 3.2 or newer). During scale down ElastiCache dynamically resizes your cluster while remaining online and serving requests.
In both the cases your data will be preserved.
QUESTION
I want to dockerization all our Spring Boot services, but stack on the issue with connection to the Amazon RDS Aurora MySQL.
The issue is with the communication to the Amazon RDS instance.
The weird thing is that if I run the service.jar file using the java command java -jar service.jar everything works as expected.
Stack trace of the error:
ANSWER
Answered 2021-Jun-06 at 19:02Most likely openjdk:8 base Docker image that you used doesn't support TLS version required by AWS Aurora. You have to review which TLS version is allowed by your AWS Aurora and then make sure that Java installed in your Docker image supports it. You can take a look at this answer or this answer.
Please note that recently, in April 2021, Java™ SE Development Kit 8, Update 291 (JDK 8u291) changed allowed TLS versions:
➜ Disable TLS 1.0 and 1.1
TLS 1.0 and 1.1 are versions of the TLS protocol that are no longer considered secure and have been superseded by more secure and modern versions (TLS 1.2 and 1.3).
These versions have now been disabled by default. If you encounter issues, you can, at your own risk, re-enable the versions by removing "TLSv1" and/or "TLSv1.1" from the jdk.tls.disabledAlgorithms security property in the java.security configuration file.
QUESTION
I am working with a CakePHP based API that utilizes AWS Aurora to manage our MySQL database. The CakePHP application has many large read queries that that requires a separate Reader Endpoint to not exhaust the database resources.
The way this works is that AWS gives you separate endpoints to use in the host field when you connect CakePHP to it.
I went ahead and configured it the following way, which works. The folowing datasources are set up in config/app.php, using the reader and cluster (default) endpoints for the host value:
...ANSWER
Answered 2021-Jun-05 at 14:10That topic comes up every once in a while, but the conclusion always has been that this isn't something that the core wants to support: https://github.com/cakephp/cakephp/issues/9197
So you're on your own here, and there's many ways how you could solve this in a more DRY manner, but that depends to a non-negligible degree on your application's specific needs. It's hard to give any proper generic advice on this, as doing things wrong can have dire consequences.
Like if you'd blindly apply a specific connection to all read operations, you'd very likely end up very sad when your application will issue a read on a different connection while you're in a transaction that writes something based on the read data.
All that being sad, you could split your models into read/write ones, going down the CQRS-ish route, you could use behaviors that provide a more straightforward and reusable API for your tables, you could move your operations into the model layer and hide the possibly a bit dirty implementation that way, you could configure the default connection based on the requested endpoint, eg whether it's a read or a write one, etc.
There's many ways to "solve" the problem, but I'm afraid it's not something anyone here could definitively answer.
QUESTION
I have a large database (MySQL, Aurora serverless) and I would like to get random rows (like 1 or 5) I know that using SORT BY RAND() is very slow, so that’s discarded.
I also know that here some tricks use the identifier of the row, but this is only working when the id is an integer autoincremented.
In my case, my database uses BINARY(16) as an identifier/primary key, and it is a randomly generated hash.
The thing is, what should I do to retrieve random rows for this configuration?
Note that in my case speed is more important than accuracy, so if it is not a perfectly random row, it is not a big issue.
Some ideas I have that I don’t know if they are good or bad:
-Every time I add a new row, I also add an extra column that uses RAND(), and I use that field to sort. Problem is, this will generate the same random rows again and again. Unless I update that field regularly. Seems too complex.
-Send 2 requests. The first one to get the oldest createdAt date. Then, the second one, sort it using a random date between the oldest one and now. This is not 100% accurate because creation dates are not distributed uniformly, but as I said, speed is more important than accuracy in my use case.
-Somehow, use my ids, because they are already random, perhaps I can sort starting from a random bit. No idea.
What do you think? Do you have more ideas? Thanks.
...ANSWER
Answered 2021-Jun-03 at 23:13If your ids are truly random, you can just pick a random value and find the first id greater than or equal to that. And if your random value happens to be greater than any ids in the table, try again.
Ideally you pick the random value in your code, but unhex(md5(rand())) is a quick hack that should produce a random 16 byte string:
QUESTION
I redeployed an Auraro cluster (postgresql 11). I did it by delete the existing one and re-create a new one. I have snapshot backup from the previous db instance and I'd like to restore the data to the existing instance.
I understand that Aurora doesn't support it. Is there a workaround for me to do that? Like whether I can download the snapshot to local in plain sql script format. Then manually restore them to the new instance?
...ANSWER
Answered 2020-Dec-30 at 07:52You can restore from a DB cluster snapshot that you have saved. To restore a DB cluster from a DB cluster snapshot, use the AWS CLI command restore-db-cluster-from-snapshot.
In this example, you restore from a previously created DB cluster snapshot named mydbclustersnapshot. You restore to a new DB cluster named mynewdbcluster. You use Aurora PostgreSQL.
Example:
For Linux, macOS, or Unix:
QUESTION
When running the unsupported-workflow command on Cadence 16.1 against 5.7 Mysql Aurora 2.07.2 . I'm encountering the following error:
...ANSWER
Answered 2021-Jun-01 at 04:26It's just fixed in https://github.com/uber/cadence/pull/4226 but not in release yet.
You can use it either building the tool, or use the docker image:
update docker image via
docker pull ubercadence/cli:masterrun the command
docker run --rm ubercadence/cli:master --address <> adm db unsupported-workflow --conn_attrs tx_isolation=READ-COMMITTED --db_type mysql --db_address ...
QUESTION
Working with react leaflet and a water api. I create an array of objects from the data obtained from the API, console log shows I have all the correct data, particularly at line 109 it does output the correct information. Yet, on lines 254 and 255, using obj2[1]
just gives me 'TypeError: Cannot read property 'name' of undefined.' Switching the index at those two lines back to 0 makes it compiles and run, but that's obviously not the right data. What is going on here?
ANSWER
Answered 2021-May-30 at 22:48The problem is you make the API call and this process takes time to get data from the server so the first time the obj2 is empty so when you call obj2[1].name is throwing error
The solution is to do this
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