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There have been reports of outages for Disney Plus and Netflix streaming, as well as games like PUBG, League of Legends, and Valorant. CNBC points out Reddit posts from Amazon Flex, warehouse, and delivery workers who say the apps that keep track of packages, tell them where to go, and generally keep your items on time went down, too. The most important app impacted by the outage might be the ones that Amazon employees use. While some affected services that rely on AWS have been restored, the internet is still a bit slower and more unsteady than usual.
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Athena sounds like one way.Amazon’s internal apps went down, too, cutting off some delivery drivers and stalling warehouse robots Great tutorial! I'd like to move huge logging/auditing tables from MSSQL to another lowcost db alternative. Hi Jakob, you query data through Athena as a part of any join, just make sure you keep in mind using OPERNOWSET instead of a linked server Sunday, Janu10:04:36 AM - Maria Zakourdaev I'm not sure whether to choose Athena or Redshift (Spectrum) for this, since it seems like they both support linkedserver and/or openrowset? We'd like to move the fulltext db away from MSSQL EC2 instances and into a more dynamic platform, that will reduce the cost, increase the speed and make it possible to do "search as you type" functionality. We use MSSQL today, to store TBs of raw text for documents, using SQL CONTAINS() for search query, while joining with some internal MSSQL tables, to make sure only to return search results from documents the user has access to.
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Would you consider Athena over Redshift (Spectrum) for an alternative to a good old MS SQL Full Text Search database? I personally love Elasticsearch for full text search use cases. This applies to Redshift Spektrum as well. In case of querying through Athena, if besides full text filter you dont have any strong filtering in your query, then you will scan too many data and your bill will be high. Redshift has very low concurrency db, and is better for big data processing flows. It depends on query concurrency and how much you want to pay.
Tuesday, Janu4:19:02 AM - Maria Zakourdaev Plus, dynamic SQL is easier! You will have to enable RPC OUT for the Linked Server.ĥ) I couldn't do INSERT INTO EXECUTE AT until I disabled Distributed Transactions in that Linked Server. You need to move to EXECUTE AT instead, but that seems better then OPENQUERY as it appears to just pass the data back - I got rid of my CASTs in the athena query. tablename", as that doesn't tell Athena to do partition eliminationģ) Once you're using OPENQUERY, if you run into issues because it doesn't know what to expect, you can use CAST or CONVERT to force metadata (aka put "cast(fielda as varchar(500))" if it thinks the field is only 255 characters.Ĥ) That doesn't help with over varchar(8000). Better performance if you have a decent amount of dataĢ) This means you can't just do "select from. Is being applied later on, inside the "Filter" step.ġ) Partition your tables in Athena. Has omitted filtering and receiving ALL columns from the remote table and the filter Here is example of the query that is using a linked server. This is very bad for us since we want to offloadĪll work to Athena and we do not want to retrieve all table data. Regular SQL Server ODBCĭestinations query behavior is to send "select *" to a linked serverĪnd do filtering inside SQL Server. There is one very important thing that you need to know. Querying Data from AWS Athena Using SQL Server Management Studio and We can query the data files from any script or stored procedure. Let’s create database in Athena query editor.ĮXEC _addlinkedserver =N'DWH_ATHENA', _addlinkedsrvlogin and with the AWS access key and secret key and now Linked server to Athena inside SQL Server Create External table in Athena service, pointing to the folder which holds.Using a columnar format called PARQUET is faster. I am using a CSV file format as an example in this tip, although Query the data using AWS Athena, data which is stored in a csv file, located on In several cases, usingĮTL because it projects your schema on the data files In the Athena query editor, either launching it from the AWS web services UI, AWSĪPIs or accessing it as an ODBC data source. Uses Apache Hive to create, alter and drop tables. The Athena service is built on the top of Presto, distributed SQL engine and also
The AWS Athena service - I must say that it is awesome. Due to the fact that my company is using only As for the biggest cloud providers, we have Azure Data Lake analytics, GoogleīigQuery and AWS Athena. By: Maria Zakourdaev | Updated: | Comments (5) | Related: > Amazon AWSĮvery cloud provider has a serverless interactive query service that