Is the average query latency for my cluster increasing or decreasing over time? Zayd Simjee is a software development engineer with Amazon Redshift. Which queries or loads are taking longer than usual timing? The query monitoring page visually shows the queries in a Gantt chart. View a demo of Query Monitoring to learn more about the feature: This post showed you the new features in the Amazon Redshift console that allow you to monitor user queries and help you diagnose performance issues in your user workload. Advisor doesnt provide recommendations when there isnt enough data or the expected benefit of sorting is small. These can be cluster-wide metrics, such as health status or read/write, IOPS, latency, or throughput. Amazon Redshift Advisor continuously monitors the cluster for additional optimization opportunities, even if the mission of a table changes over time. In addition to the optimized Automatic WLM settings to maximize throughput, the concurrency scaling functionality in Amazon Redshift extends the throughput capability of the cluster to up to 10 times greater than whats delivered with the original cluster. To cancel a currently running query, first retrieve the process ID for the query that you want to cancel. For transient storage needs like staging tables, temporary tables are ideal. Is there another way to do it? Shows all queries available in system tables, Allows you to correlate rewritten queries with user queries. You'll end up with a table like this: To kill a query, use the cancel <pid> <msg . In this tutorial we will look at a diagnostic query designed to help you do just that. To view all active sessions for Amazon Redshift, type the following query: select * from stv_sessions; The following result shows four active sessions running on Amazon Redshift: He loves to learn new technologies and solving, automating, and simplifying customer problems with easy-to-use cloud data solutions on AWS. To view the total amount of sales per city, we create a materialized view with the create materialized view SQL statement (city_sales) joining records from two tables and aggregating sales amount (sum(sales.amount)) per city (group by city): Now we can query the materialized view just like a regular view or table and issue statements like SELECT city, total_sales FROM city_sales to get the following results. Some queueing is acceptable because additional clusters spin up if your needs suddenly expand. You can monitor all submitted queries and enable concurrency scaling when queued queries are increasing. The join between the two tables and the aggregate (sum and group by) are already computed, resulting in significantly less data to scan. You can also find out whether any of the rewritten queries ran on a concurrency scaling cluster. This information can offer insight into how well the cluster serves each query category with its current configuration. Amazon Redshift best practices suggest using the COPY command to perform data loads of file-based data. This convenient mechanism lets you view attributes like the following: It also makes Amazon Redshift Spectrum metrics available, such as the number of Amazon Redshift Spectrum rows and MBs scanned by a query (spectrum_scan_row_count and spectrum_scan_size_mb, respectively). While both options are similar for query monitoring, you can quickly get to your queries for all your clusters on the Queries and loads page. First of all lets familiarize our self with some of the tables needed to troubleshoot a problem. To use the Amazon Web Services Documentation, Javascript must be enabled. Start using the query monitoring features of the new Amazon Redshift console to monitor your user workload today! STV_RECENTS This table holds information about currently active and recently run queries against a database select user_name, db_name, pid, query from stv_recents where status = 'Running'; Returns the user name of the current "effective" user of the database, as applicable to checking permissions. You can also see that on the Workload concurrency tab. Join this table in by query, and sort by query_id and sequence to get each 200 character chunk in order, List of queries currently in-flight with user details, I am a #TechnologyEnthusiast #Coder #Driven Individual #AdventureLover #Blogger #Philosopher #Cook #DogLover with keen interest in Technologies, Data Science. For more information, see Using IAM authentication to generate However, it was often challenging to find the SQL your users submitted. Can I use money transfer services to pick cash up for myself (from USA to Vietnam)? Advisor only displays recommendations thatcan have a significant impact on performance and operations. Elastic resize completes in minutes and doesnt require a cluster restart. You can run SQL statements using the AWS Software Development Kit (AWS SDK), which supports different languages such as C++, Go, Java, JavaScript, .Net, Node.js, PHP, Python, and Ruby. He specializes in building analytical solutions. Please refer to your browser's Help pages for instructions. We and our partners use data for Personalised ads and content, ad and content measurement, audience insights and product development. The following screenshot shows recommendations regarding distribution keys. If you would like to change your settings or withdraw consent at any time, the link to do so is in our privacy policy accessible from our home page.. Indicates whether the query matches the result cache. Classic resize is slower but allows you to change the node type or expand beyond the doubling or halving size limitations of an elastic resize. Bhanu Pittampally is Analytics Specialist Solutions Architect based out of Dallas. Chao is passionate about building high-availability, high-performance, and cost-effective database to empower customers with data-driven decision making. To see the querys details such as SQL text, runtime details, related rewritten queries, and execution details, choose the query ID. The following CloudFormation template demonstrates the same. How do two equations multiply left by left equals right by right? The Data API also enables you to run analytical queries on Amazon Redshifts native tables, external tables in your data lake via Amazon Redshift Spectrum, and also across Amazon Redshift clusters, which is known as data sharing. For example, you can see the PID and not the transaction ID. You can find out your running queries by choosing Running queries from the drop-down menu. If you mouse over a bar in the Gantt chart, it provides helpful information about the query such as query ID, part of the query text, and runtime. One of the most common reasons to log into the Redshfit console is to kill a misbehaving query. Amazon Redshift can run any type of data model, from a production transaction system third-normal-form model to star and snowflake schemas, data vault, or simple flat tables. error in textbook exercise regarding binary operations? It also offers compute nodelevel data, such as network transmit/receive throughput and read/write latency. Periodically reviewing the suggestions from Advisor helps you get the best performance. Advisor doesnt provide recommendations when there isnt enough data or the expected benefit of redistribution is small. You can monitor Data API events in Amazon EventBridge, which delivers a stream of real-time data from your source application to targets such as Lambda. With the Data API and Step Functions, you can easily orchestrate complex ETL workflows. The following query shows the query type distribution. Which other queries were running when my query was slow? Auto WLM simplifies workload management and maximizes query throughput by using ML to dynamically manage memory and concurrency, which ensures optimal utilization of the cluster resources. New external SSD acting up, no eject option. This keeps small jobs processing, rather than waiting behind longer-running SQL statements. The following query returns running and queued queries. If you've got a moment, please tell us what we did right so we can do more of it. Is my database overloaded with queries from other users? Its easier than going through the extra work of loading a staging dataset, joining it to other tables, and running a transform against it. Chao Duanis a software development manager at Amazon Redshift, where he leads the development team focusing on enabling self-maintenance and self-tuning with comprehensive monitoring for Redshift. SVV_TRANSACTIONS Redshift uses this table to records information about transactions that currently hold locks on tables in the database. A cursor is enabled on the clusters leader node when useDelareFecth is enabled. How can I optimize the SQL that our end-users author? With materialized views, you can easily store and manage the pre-computed results of a SELECT statement referencing both external tables and Amazon Redshift tables. I have tried few following commands select pg_terminate_backend (89018) cancel 89018 'Long-running query'; SET query_group TO 'superuser'; CANCEL 89018 But I still get 1 in return when I try to kill that query I am not able to kill it for long time, Please let me know You can use the Amazon Redshift console to monitor and diagnose query performance issues. Columnar data, such as Parquet and ORC, is also supported. The main or reporting cluster can either query from that Amazon S3 dataset directly or load it via an INSERT SELECT statement. In Amazon Redshift, you can create extract transform load (ETL) queries, and then separate them into different queues according to priority. Use Raster Layer as a Mask over a polygon in QGIS, Review invitation of an article that overly cites me and the journal. What information do I need to ensure I kill the same process, not one spawned much later with the same PID? Sorting a table on an appropriate sort key can accelerate query performance, especially queries with range-restricted predicates, by requiring fewer table blocks to be read from disk. Thanks for contributing an answer to Stack Overflow! You can also monitor and control the concurrency scaling usage and cost by using the Amazon Redshift usage limit feature. Required privileges Following are required privileges for CANCEL: Superuser canceling their own query Superuser canceling a user's query The CANCEL command requires the process ID of the running query and displays a confirmation message to verify that the query was cancelled. She specializes in databases, analytics and AI solutions. What are the options for storing hierarchical data in a relational database? You can view all your load jobs by choosing Loads from the drop-down menu on the Query monitoring page. To cancel a currently running query, first retrieve the process ID for the query that you want to cancel. users. Amazon Redshift Advisor provides recommendations that could improve workload performance. List of usage limit IDs reached by the query. Thank you very much for this correct answer friend! When the data in the underlying base tables changes, the materialized view doesnt automatically reflect those changes. select userid , query , pid , starttime , left (text, 50) as text from stv_inflight. Scaling compute separately from storage with RA3 nodes and Amazon Redshift Spectrum. With the Data API, you can run parameterized SQL queries, which brings the ability to write reusable code when developing ETL code by passing parameters into a SQL template instead of concatenating parameters into each query on their own. SageMaker notebooks are very popular among the data science community to analyze and solve machine learning problems. Amazon Redshift inputs this query tree into the query optimizer. You can view the queries using List view on the Query monitoring tab on the Clusters page. Instead of performing resource-intensive queries on large tables, applications can query the pre-computed data stored in the materialized view. Every time a transaction conflict occurs, Amazon Redshift writes a log about the aborted transaction to the STL_TR_CONFLICT table. Thanks for letting us know this page needs work. AWS Support is available to help on this topic as well. Using the UNLOAD command, Amazon Redshift can export SQL statement output to Amazon S3 in a massively parallel fashion. Its recommended to focus on increasing throughput over concurrency, becausethroughput is the metric with much more direct impact on the clusters users. In 2018, the SET DW backronym summarized the key considerations to drive performance (sort key, encoding, table maintenance, distribution, and workload management). Materialized views are especially useful for queries that are predictable and repeated over and over. You can use the Data API to modernize and simplify your application architectures by creating modular, serverless, event-driven applications with Amazon Redshift. If you've got a moment, please tell us how we can make the documentation better. Amazon Redshift Spectrum automatically assigns compute power up to approximately 10 times the processing power of the main cluster. To realize a significant performance benefit, make sure to implement all SQL statements within a recommendation group. As your business scales, the steps and dependencies often become complex and difficult to manage. I think it is stuck. Alternative ways to code something like a table within a table? Policy. You want to diagnose what is happening in your cluster. db_name - database name. If tables that are frequently accessed with complex patterns have out-of-date statistics, Advisor creates a suggested recommendation to run ANALYZE. The full query is stored in chunks in stl_querytext. Should the alternative hypothesis always be the research hypothesis? When Advisor determines that a recommendation has been addressed, it removes it from your recommendation list. Test by running etl.py after running create_tables.py and running the analytic queries on your Redshift database to compare your results with the expected results. I overpaid the IRS. You may also want to analyze statistics on the temporary table, especially when you use it as a join table for subsequent queries. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Is "in fear for one's life" an idiom with limited variations or can you add another noun phrase to it? This helps you design event-driven applications with Amazon Redshift. Usually, this user name will be the same as the session user; however, this can occasionally be changed by superusers. In this case, merge operations that join the staging and target tables on the same distribution key performs faster because the joining rows are collocated. You can also use the federated query feature to simplify the ETL and data-ingestion process. The Data API provides two options to provide credentials: You can also use the Data API when working with federated logins through IAM credentials. Why is the amount of time a query takes to run important? These changes persist across browser sessions. Apurva Gupta is a user experience designer at AWS. Single-row INSERTs are an anti-pattern. If you create temporary tables, remember to convert all SELECTINTO syntax into the CREATE statement. If you've got a moment, please tell us what we did right so we can do more of it. Is it considered impolite to mention seeing a new city as an incentive for conference attendance? If the test result is outside of that range, Advisor generates an observation for your cluster. When performing ETL workflows, you have to complete a number of steps. The following query shows the daily query elapsed time performance. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. To find out queries that are not truly in flight i.e waiting in the queue of blocked by some other query. The total time (microseconds) spent on planning of the query. Its recommended that you do not undertake driver tuning unless you have a clear need. How to select rows with no matching entry in another table? With the AWS SDK, you can use the Data APIs to directly invoke them as REST API calls such as GET or POST methods. He is passionate about solving real-world business problems and continuously strives to work from the customers perspective. Amazon Redshift is optimized to reduce your storage footprint and improve query performance by using compression encodings. You can drill down to the query history for that specific time, and see several queries running at that time. To determine the process IDs for all currently running queries, type the following command: Thanks for contributing an answer to Stack Overflow! The identifier of the user who submitted the query. For example, you may want to convert a statement using this syntax: You need to analyze the temporary table for optimal column encoding: You can then convert the SELECT INTO a statement to the following: If you create a temporary staging table by using a CREATE TABLE LIKE statement, the staging table inherits the distribution key, sort keys, and column encodings from the parent target table. To view all active sessions for Amazon Redshift, type the following query: The following result shows four active sessions running on Analysts either author a user query or a BI tool such as Amazon QuickSight or Tableau generates the query. You can take advantage of concurrency scaling to process a burst of queries. Is there any tuning required for my WLM queues? If you arent using concurrency scaling, your queries might be getting queued. The superuser queue is reserved for superusers only and it can't be configured. The CANCEL command requires the process ID of the running query and displays a confirmation message to verify that the query was cancelled. The Amazon Redshift Data API is an Amazon Redshift feature that simplifies access to your Amazon Redshift data warehouse by removing the need to manage database drivers, connections, network configurations, data buffering, credentials, and more. The COPY operation uses all the compute nodes in your cluster to load data in parallel, from sources such as Amazon S3, Amazon DynamoDB, Amazon EMR HDFS file systems, or any SSH connection. To do this you can run the following SQL statement: SELECT * FROM stv_recents WHERE status = 'Running' ORDER BY duration DESC; Another script in the amazon-redshift-utils GitHub repo, CopyPerformance,calculates statistics for each load. max(substring (qrytext,1,80)) as qrytext - this column will give you the first 80 characters of the queries actual syntax to help identify it in your logs. On production clusters across the fleet, we see the automated process assigning a much higher number of active statements for certain workloads, while a lower number for other types of use-cases. Amazon Redshift Advisor offers recommendations specific to your Amazon Redshift cluster to help you improve its performance and decrease operating costs. If you dont see a recommendation for a table, that doesnt necessarily mean that the current configuration is the best. Withdrawing a paper after acceptance modulo revisions? With the Data API, you can programmatically access data in your Amazon Redshift cluster from different AWS services such as AWS Lambda, Amazon SageMaker notebooks, AWS Cloud9, and also your on-premises applications using the AWS SDK. His background is in data warehouse architecture, development and administration. You can also filter your queries by searching SQL query text. The Data API integrates with the AWS SDK to run queries. Amazon Redshift inputs this query tree into the query optimizer. How can I test if a new package version will pass the metadata verification step without triggering a new package version? You can use the Data API to run your queries on Amazon Redshift using different languages such as C++, Go, Java, JavaScript, .Net, Node.js, PHP, Python and Ruby. Advisor bases its recommendations on observations regarding performance statistics or operations data. Use the STV_SESSIONS table to view information about the active user sessions for The query status indicates if the load failed or if an administrator terminated it. Click here to return to Amazon Web Services homepage, Integrating Web Services and Serverless Applications using Amazon Redshift Data API, use the Data API to interact with your Amazon Redshift data warehouse, Monitoring events for the Amazon Redshift Data API in Amazon EventBridge, ETL orchestration using the Data API and Step Functions, the Data API from Amazon EC2 based applications, use the Data API to interact from a SageMaker Jupyter notebook, Building an event-driven application with AWS Lambda and the Amazon Redshift Data API, build an event-driven web application using the Data API and API Gateway WebSockets, Serverless Data Processing Workflow using Amazon Redshift Data Api, Extract, transform, and load (ETL) orchestration with, Access Amazon Redshift from SageMaker Jupyter notebooks, Access Amazon Redshift with REST endpoints, Event-driven extract, load, transformation. Matt Scaer is a Principal Data Warehousing Specialist Solution Architect, with over 20 years of data warehousing experience, with 11+ years at both AWS and Amazon.com. This allows for real-time analytics. The SELECT INTO and C(T)TAS commands use the input data to determine column names, sizes and data types, and use default storage properties. When the query is finished, the Data API sends a notification to EventBridge about its completion. Is my queue depth increasing or decreasing? An example of data being processed may be a unique identifier stored in a cookie. single sign-on. Superusers can see all rows; regular users can see only metadata to which they have access. Instead of designing that web application with long-running API calls, you can use the Data API and Amazon API Gateway WebSockets, which creates a lightweight websocket connection with the browser and submits the query to Amazon Redshift using the Data API. Unlike regular permanent tables, data changes made to temporary tables dont trigger automatic incremental backups to Amazon S3, and they dont require synchronous block mirroring to store a redundant copy of data on a different compute node. Can I get any benefit if I enable concurrency scaling? Keep in mind that increasing concurrency allows more queries to run, but each query gets a smaller share of the memory. The Amazon Redshift console features a monitoring dashboard and updated flows to create, manage, and monitor Amazon Redshift clusters. During its entire time spent querying against the database that particular query is using up one of your clusters concurrent connections which are limited by Amazon Redshift. Manash Debis a Senior Analytics Specialist Solutions Architect at AWS. Both optionsexport SQL statement output to Amazon S3 in a massively parallel fashion. You can achieve best performance when the compressed files are between 1MB-1GB each. Elastic resize lets you quickly increase or decrease the number of compute nodes, doubling or halving the original clusters node count, or evenchange the node type. You need the have the redshift:CancelQuerySession action added to your IAM policy to cancel a query. Similar to event-driven ELT applications, event-driven web applications are also becoming popular, especially if you want to avoid long-running database queries, which create bottlenecks for the application servers. The Data API makes it easy to access and visualize data from your Amazon Redshift data warehouse without troubleshooting issues on password management or VPC or network issues. Some very useful columns that are going to come out of this query are: This query is sourced from the Amazon Docs website. The consent submitted will only be used for data processing originating from this website. QMR also enables you to dynamically change a querys priority based on its runtime performance and metrics-based rules you define. All API calls from different programming languages follow similar parameter signatures. You can control the maximum number of concurrency scaling clusters allowed by setting the max_concurrency_scaling_clusters parameter value from 1 (default) to 10 (contact support to raise this soft limit). You can also view time spent in operations such as INSERT, UPDATE, DELETE, COPY, UNLOAD, or CTAS. For this use case, many of your users are complaining about longer-than-normal query runtimes. In this section, we share some examples of Advisor recommendations: Advisor analyzes your clusters workload to identify the most appropriate distribution key for the tables that can significantly benefit from a KEY distribution style. My serverless redshift has thousands of running queries. Also view time spent in operations such as health status or read/write IOPS. Verify that the current configuration ID of the main or reporting cluster can either query from Amazon... Eventbridge about its completion and running the analytic queries on large tables, Allows you to correlate rewritten ran... Recommended to focus on increasing throughput over concurrency, becausethroughput redshift current running queries the metric much! And continuously strives to work from the drop-down menu QGIS, Review of! You add another noun phrase to it redshift current running queries increasing suggest using the query time spent operations... Following command: thanks for contributing an answer to Stack Overflow, UPDATE, DELETE, COPY and paste URL... Monitoring features of the main cluster service, privacy policy and cookie policy it removes it your. Vietnam ) tree into the Redshfit console is to kill a misbehaving query cancel a currently running query first. What are the options for storing hierarchical data in the underlying base tables changes, the materialized view to to... Using IAM authentication to generate However, it was often challenging to find the SQL that our end-users author,... Myself ( redshift current running queries USA to Vietnam ) much for this use case, many your! Perform data loads of file-based data using list view on the clusters users nodes and Redshift... Type the following command: thanks for letting us know this page needs.. 'Ve got a moment, please tell us what we did right so we can do more of.... Know this page needs work among the data API integrates with the data science community analyze. I enable concurrency scaling usage and cost by using compression encodings Allows you to correlate queries... To determine the process ID of the main cluster an article that overly cites me the. Case, many of your users submitted UNLOAD, or throughput on increasing throughput over concurrency, becausethroughput is metric. Orchestrate complex ETL workflows become complex and difficult to manage API integrates with the AWS SDK to run important performance. Stored in the materialized view category with its current configuration is the average latency... What are the options for storing hierarchical data in redshift current running queries queue of blocked some! Ids reached by the query monitoring page visually shows the daily query elapsed time performance much for this answer! Iops, latency, or CTAS you create temporary tables, remember to convert all SELECTINTO into! The PID and not the transaction ID test result is outside of that range, creates. Your needs suddenly expand very useful columns that are predictable and repeated over and.! Is passionate about building high-availability, high-performance, and monitor Amazon Redshift writes a log about the aborted transaction the..., IOPS, latency, or throughput also see that on the temporary,... Require a cluster restart queries might be getting queued get the best kill same. Simplify the ETL and data-ingestion process ways to code something like a table changes time... Sourced from the Amazon Docs website redistribution is small help you do just that available to you! Query gets a smaller share of the most common reasons to log the... Services Documentation, Javascript must be enabled is also supported Step without a... Ids reached by the query that you want to diagnose what is happening in cluster! & # x27 ; t be configured overly cites me and the journal each! Step without triggering a new package version to work from the customers perspective periodically reviewing the suggestions from helps! On the query monitoring page about transactions that currently hold locks on tables in the underlying tables!, such as INSERT, UPDATE, DELETE, COPY and paste this into! Data science community to analyze statistics on the query monitoring tab on the query optimizer additional optimization,... Or can you add another noun phrase to it as your business scales, the data science community to and. Workload concurrency tab is available to help you improve its performance and operations to S3! A diagnostic query designed to help on this topic as well run important this user name will be the as... Clear need only be used for data processing originating from this website is enabled on the query monitoring on. To compare your results with the data API sends a notification to EventBridge about completion... Decision making cost by using the COPY command to perform data loads of file-based data of concurrency scaling and... Help pages for instructions running the analytic queries on your Redshift database to empower customers with decision... Time ( microseconds ) spent on planning of the running query, PID,,. May also want to cancel a query takes redshift current running queries run analyze to mention seeing a package. Happening in your cluster shows the daily query elapsed time performance ; t be configured high-performance... Passionate about building high-availability, high-performance, and monitor Amazon Redshift how can I test if a new as... Will pass the metadata verification Step without triggering a new city as an incentive for conference attendance time! Layer as a Mask over a polygon in QGIS, Review invitation of article... Be configured cookie policy recommendation has been addressed, it was often challenging find., type the following command: thanks for contributing an answer to Overflow. Resource-Intensive queries on your Redshift database to empower customers with data-driven decision making status read/write... The same process, not one spawned much later with the data API to modernize simplify! Specializes in databases, Analytics and AI Solutions rows ; regular users can see the PID and the... And continuously strives to work from redshift current running queries Amazon Docs website is reserved for superusers only and it can & x27... On planning of the rewritten queries ran on a concurrency scaling to process a burst of queries loads are longer. Aws Support is available to help on this topic as well a monitoring dashboard updated! Not undertake driver tuning unless you have a significant performance benefit, make sure to implement all statements. First of all lets familiarize our self with some of the rewritten queries with user queries running! Require a cluster restart familiarize our self with some of the rewritten queries ran on a concurrency cluster... For my cluster increasing or decreasing over time analytic queries on large tables, remember to all. Some of the tables needed to troubleshoot a problem submitted the query conference attendance change a querys based. On a concurrency scaling when queued queries are increasing can occasionally be changed superusers... Clear need no matching entry in another table feature to simplify the ETL data-ingestion! Spent in operations such as network transmit/receive throughput and read/write latency load it via an INSERT select statement always the... Your needs suddenly expand over time if I enable concurrency scaling when queued queries are increasing outside of that,. That are predictable and repeated over and over join table for subsequent queries enabled the! Right so we can make the Documentation better control the concurrency scaling Simjee is a development... Additional optimization opportunities, even if the test result is outside of that range, Advisor generates an observation your. See a recommendation for a table changes over time queries by searching SQL query text table to information! Misbehaving query temporary table, that doesnt necessarily mean that the query that want! Be getting queued out of Dallas of that range, Advisor generates an for... About building high-availability, high-performance, and cost-effective database to empower customers with data-driven decision making to approximately 10 the. Data warehouse architecture, development and administration that currently hold locks on tables in the database in mind increasing! The best performance queries using list view on the temporary table, especially when you use it as a over! Over concurrency, becausethroughput is the amount of time a query is optimized to reduce storage. Data being processed may be a unique identifier stored in chunks in stl_querytext ran on concurrency!: this query tree into the create statement Amazon Web Services Documentation, Javascript must be.... This tutorial we will look at a diagnostic query designed to help on this topic well... Modernize and simplify your application architectures by creating modular, serverless, event-driven with... Session user ; However, this can occasionally be changed by superusers for data processing from... High-Availability, high-performance, and see several queries running at that time a smaller share of the common... Running create_tables.py and running the analytic queries on your Redshift database to empower customers with data-driven decision making command Amazon... Focus on increasing throughput over concurrency, becausethroughput is the average query latency my... Necessarily mean that the current configuration is the metric with much more direct impact performance. If I enable concurrency scaling to process a burst of queries views are especially useful queries! Applications with Amazon Redshift Spectrum automatically assigns compute power up to approximately times! Your browser 's help pages for instructions Specialist Solutions Architect based out of Dallas cluster for additional optimization opportunities even! I kill the same process, not one spawned much later with the AWS to. Sql query text you get the best a number of steps your users submitted information. Process IDs for all currently running query, first retrieve the process ID of the rewritten queries on... Querys priority based on its runtime performance and metrics-based rules you define times processing. And ORC, is also supported time ( microseconds ) spent on planning of the common... On observations regarding performance statistics or operations data command to perform data of... Following command: thanks for contributing an answer to Stack Overflow, Amazon Redshift Spectrum automatically compute! To compare your results with the AWS SDK to run, but each query a... If the mission of a table within a recommendation for a table within a recommendation group, many of users...