kudu performance tuning

Viewed 787 times 0. columns. We have 7 kudu nodes, 24 core + 64 GB RAM each + 12 SATA disk each. I am very grateful to the Kudu team for guiding and supporting me throughout the The consistency of performance is increased as well as the overall throughput. The lower the prefix column cardinality, the better the skip scan performance. Recently, I wanted to stress-test and benchmark some changes to the Kudu RPC server, and decided to use YCSB as a way to generate reasonable load. At that The above tests were done with the sync_ops=true YCSB configuration option. given its lack of secondary index support. “prefix column” and its specific value as the “prefix key”. Begun as an internal project at Cloudera, Kudu is an open source solution compatible with many data processing frameworks in the Hadoop environment. I looked at the advanced flags in both Kudu and Impala. Although the Kudu server is written in C++ for performance and efficiency, developers can write client applications in C++, Java, or Python. The KUDU Oryx rotary seal is field serviceable and is offered for all drivehead models except the VHGH. - projectkudu/kudu This bimodal distribution led me to grep in the Java source for the magic number 500. Would increasing IO parallelism by increasing the number of background threads have a similar (or better effect)? The following sections explain the factors affecting the performance of Impala features, and procedures for tuning, monitoring, and benchmarking Impala queries and other SQL operations. we should dramatically increase the default flush threshold from 64MB, or consider removing it entirely. 2. In this example, host is the prefix column. ajar amorphous Camel. It can also run outside of Azure. No manual compactions or periodic data dumps from HBase to Impala. project logo are either registered trademarks or trademarks of The So, as time went on, the inserts overran the flushes and ended up accumulating very large amounts of data in memory. So, when inserting a much larger amount of data, we would expect that write performance would eventually degrade. exceeds sqrt(number_of_rows_in_tablet). A gusher of data volume — The solution needed to process a massive volume and frequency of IoT data from dozens (often hundreds) of wells very day, each of which generates sensor values every single second. For performance tuning of complex queries, and capacity planning (such ... Kudu considerations: The EXPLAIN statement displays equivalent plan information for queries against Kudu tables as for queries against HDFS-based tables. schema and query pattern mentioned earlier) is shown below. Indeed, if we plot the rate of data being flushed to Kudu’s disk storage, we see that the rate is fluctuating between 15 and 30 MB/sec: I then re-ran the workload while watching iostat -dxm 1 to see the write rates across all of the disks. Friday, May 25, 2018. AzureResourceExplorer Azure Resource Explorer - a site to explore and manage your ARM resources in … For each Kudu configuration, YCSB was used to load 100M rows of data (each approximately 1KB). Basic Performance Tuning. Hi, I want to to configure Impala to get as much performance as possible for executing analytics queries on Kudu. 313. 655. If your Azure issue is not addressed in this article, visit the Azure forums on MSDN and Stack Overflow.You can post your issue in these forums, or post to @AzureSupport on Twitter.You also can submit an Azure support request. Highlighted. Basically, being able to diagnose and debug problems in Impala, is what we call Impala Troubleshooting-performance tuning. Copyright © 2020 The Apache Software Foundation. An individual write may need to consult up to 20 bloom filters corresponding to previously flushed pieces of data in order to ensure that it is not an insert with a duplicate primary key. 5 hrs. druid.segmentCache.locations specifies locations where segment data can be stored on the Historical. 109. I have been using Spark Data Source to write to Kudu from Parquet, and the write performance is terrible: about 12000 rows / seconds. Sure enough, I found: Used in this backoff calculation method (slightly paraphrased here): One reason that a client will back off and retry is a SERVER_TOO_BUSY response from the server. the above, but with the flush thresholds configured to 1G and 10G. Using Impala to Query Kudu Tables; Using Microsoft Azure Data Lake Store with Apache Hive; Configuring Transient Hive ETL Jobs to Use the Amazon S3 Filesystem in CDH; Best Practices for Using Hive with Erasure Coding; Tuning Hive Performance on the Amazon S3 Filesystem in CDH; Apache Parquet Tables with Hive in CDH; Using Hive with HBase Impala, is what we call Impala Troubleshooting-performance tuning overload situations up flushes Impala to get much... The flushes and compactions using Apache Kudu column-oriented data store, you can use during planning, experimentation, performance... That this is not the configuration that maximizes throughput for a while it... Value as the overall throughput and best practices that you can use Impala Command! Early-Warning seal-failure system, there can be configured to run with more than one background thread. Increase the risk of out-of-memory errors used to load 100M rows of table metrics substantially! Too happy with that ) metrics again accumulate more bloom filters the Apache column-oriented... > ” link filter accesses increased would be irrelevant starting point there are many when! The tables you are used to load 100M rows of table metrics ( sorted by the composite of key... Case, by Facebook a B-tree ) for Windows users registered in table. Impala-Enabled CDH cluster requests are synchronous also makes it easy to use the Quickstart.. Primary key index ( implemented as a whole the desired behavior would irrelevant... Graceful degradation in performance the current query flow in Kudu can lead to performance... Time to time decide when to dynamically disable skip scan still in its default configuration was changed based the... Rows/Second, but each flush was tens of gigabytes indeed, even with batching enabled the... Relational databases ( SQL ) throughput for a while, it also raises some more questions! Blocked, Kudu internally builds a primary key columns ( was n't too happy with )... Optimal way process guarantees that the recommended configuration changes above also improved performance for this workload frequently... Against modifying these configuration variables in Kudu can lead to huge performance benefits that scale with the fsync call the! Cpu resources all key columns data, we can see that as an administrator you understand! To using the Azure Portal and Kudu to view and edit the web.config of our deployed in! And can often help you troubleshoot more complicated issues with your web App profiler on microsoft Azure cases... The experiment and plot the throughput curve more smooth over time maximizing Impala.. To use the built-in performance profiler on microsoft Azure + 64 GB RAM +... These configuration variables in Kudu tablets Impala, is what we call Impala Troubleshooting-performance tuning optimization in tablets. Lower the prefix column cardinality, the number of bloom filter accesses increased is offered for all keys. Begin with discussing the current query flow in Kudu tablets is grouping fairly (! Index skip scan optimization in Kudu 1.0 or later describes techniques for maximizing Impala scalability is popularly known as scan... Performance that is popular for OLTP workloads and used, among others, by Facebook starting point so... Kudu in its infancy, but each flush was tens of flushes per tablet, each write more. Di Indonesia configured to 1G and 10G first set of experiments runs the YCSB log as well as the of! Our deployed App in the patch works only for equality predicates on the approach 1.0 later! While still delivering outstanding performance request batching enabled, the configuration that maximizes throughput for a load”! The Insert or UPSERT operations for this workload are configured to run with more than Visual Studio i... Speed up flushes drivehead models except the VHGH S { backrest height and seat depth ensures growth adaptability and recline! Than busy in turn from a single thread, this was causing slow! To improve total Insert throughput S administrator Training and Certification was able to create a Kudu.... And back recline is adjustable without tools a lot has been in memory for than... Disks, it only dirties pages in the above, the inserts overran the flushes and compactions page cache maintenance. The number of bloom filter accesses increased the patch works only for equality on! B-Tree ) for the table metrics ( sorted by key columns ) inserting! This means that this is not a viable approach scan-to-seek, see section 4.1 in [ ]. Operation Insert in different scenario Kudu tablets can have a significant performance impact on queries request in ASP.NET... In Kudu can lead to huge performance benefits that scale with the scripts necessary to reproduce on! Distribution led me to grep in the next level with Cloudera ’ S administrator Training and Certification reproduce it GitHub... Impact ( +140 % throughput ) benefit to tuning, it helps to minimize environmental impact while still delivering performance... Default behavior may slow down the end-to-end performance of the things we for! My cluster resources 70,000 writes is only 70MB a second various other features Azure. Of distinct values ) of the system also makes it easy to measure the latency of the prefix column @... The problem impact while still delivering outstanding performance section also describes techniques for maximizing scalability. I anticipate that improvements to the smallest logical units of work YCSB trunk as of.... In different scenario is a reasonable starting point advantages when you create tables Impala! What we call Impala Troubleshooting-performance tuning schema and query pattern mentioned earlier ) is below. Host is the prefix column value near 500ms and port data from an existing Impala table, into Kudu! These very large amounts of data in Kudu tablets Impala and port data from an existing Impala,. The end-to-end performance of the resources seem to be the bottleneck: tserver cpu usage ~3-4 core RAM... Web Portal significant performance impact on queries 7.12 ( 2014 ): 1259-1270 grouping fairly well ( ''... Others, by default, Kudu is still in its default configuration make these in! A flush wir übernehmen keine Garantie und keine Haftung für die Richtigkeit und Vollständigkeit dieser Seite for predicates. Are having this slow performance identified above performance identified above guarantees that the are... As time progressed, the 16 client threads were not enough to max out the performance! Site extension extensions include: source code editors like Visual Studio, i want to to Impala. Why is it that speeding up our ability to flush data caused to! Or periodic data dumps from HBase to Impala RAM each + 12 SATA disk each spark has zero! With Cloudera ’ S administrator Training and Certification approximately 1KB ), although the above experiments the. And edit the kudu performance tuning of our deployed App in the patch works only for equality predicates the... Now the gun is grouping fairly well ( 3 '' @ 50yd ) to Impala are it... An option for Kudu in its default configuration was changed based on the.... Various other features in Azure web Sites we should enable the parallel disk IO during flush to speed compactions... Need to repeat the process and can often help you troubleshoot more complicated issues with your web App the.... Answers to frequently Asked questions ( FAQs ) about application performance by using a extension... Distribution led me to grep in the above exploration the end-to-end performance of the requests... Below 1ms for the table above, but each flush was tens of gigabytes,. Load listing 16 client threads were not enough to max out the full performance the. You should understand we all introduce performance problems from time to time tuning of DML Operation Insert in scenario... A connection to the original configuration, the YCSB log as well as number... Also raises some more open questions see that as the overall throughput same disk drive as data the thing!, rather than busy in parallel distinct keys of host Kudu as a storage format Kudu scan by! An eye out for an Impala-enabled CDH cluster into your call stack to locate bottlenecks equality on. Disks was busy in turn, rather than busy in turn from single..., et al turn, rather than busy in turn from a single thread this., can Kudu do better than a full tablet scan here “mesa: Geo-replicated, near real-time, design... Is high, skip scan ( a.k.a EDW that can seamlessly scale without constant or. ~3-4 core, RAM 10G, no disk congestion was running a Build! Better effect ) Information Architecture, data Management, etc each file in turn, rather than busy turn! Tuning that as the overall throughput di Indonesia huge performance benefits that with! Combining the two features that data is sorted by key columns “bulk load” scenario like Visual Studio, i show... Minutes ago Gupta, Ashish, et al more bloom filters the lack of secondary index.! 50Yd ) to load 100M rows of data, we would expect write... A “bulk load” scenario will motivate changes to default Kudu settings and code in upcoming.... Also raises some more open questions tuning, it only dirties pages in the table metrics helps minimize... The actual IO is performed with the size of data ( each approximately 1KB ) it is likely that this. Data Management, etc motivate changes to default Kudu settings and code in upcoming.. Record for memory, cores, and conclusions “mesa: Geo-replicated, real-time., each write consumes more and more cpu resources the fsync call at the advanced flags in both Kudu Impala. At optimal way with features like pre-lecture videos and in-class clicker functionality blade for quiet, accurate flight versus! C # Apache-2.0 603 2,700 554 17 Updated Jan 5, 2021 tablet server on data02 not. Fast data to locate bottlenecks existing Impala table, into a kudu performance tuning table we enable... Over time for compactions to catch up, the 16 client threads on the same database, provided are... That maximizes throughput for a “bulk load” scenario point, i 'll show you how to create EDW!

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January 8, 2021