Hello again, I have other questions concerning :
1. the building of cubes, and the way to use it through the admin interface. I created a cube from scratch based on the kylin_model. I wanted to use some derived dimensions such as YEAR_BEG_DT, MONTH_BEG_DT, WEEK_BEG_DT. I also put CAL_DT from KYLIN_CAL_DT table and PART_DT from KYLIN_SALES table. I defined my measures. That is OK. But now, when I define an aggregation group, I want to use YEAR_BEG_DT, MONTH_BEG_DT, WEEK_BEG_DT as hierarchy dimension, but I can't, because I suppose they are defined as 'derived' and no 'normal'. So I let this field blank. But when I save the cube, the system tells me that there must be at least 2 fields in hierarchy. In the 'joint dimensions' section, what understand is that I use all the dimensions I want to put in a "group by", whatever the type and nature (standard filed, FK) SO I wonder what to put exactly in this aggregation groups. Another question : when I go to the 'Insight' tab to run queries on the cube, I do not know how to access the computed measures defined by running standard SQL Queries. I assume this information is not accessible here, unless recomputing it in the query. 2. The optimization of cube building By default, MapReduce is used for cube generation. But I notice that you can use Spark. What is the most efficient in terms of cube generation (time, space used) and performance for the final user ? 3. Data Storage I notice that information was also stored in HDFS under /hbase folder. I presume this contains all the cube data used and computed during the phase of cube generation. I am right ? So what kind of information is stored in HBase, and how do these two storage spaces communicate ? I know there are a lot of questions here and in my previous mails, but I really have to understand how it works to check if this tool can fit to our business needs. Thank you for your help. Have a good day. Best regards, Jean-Luc. De : BELLIER Jean-luc Envoyé : mardi 13 février 2018 18:50 À : 'firstname.lastname@example.org' <email@example.com> Objet : usage of Web inteface Kylin an performances Hello, I have several questions on Kylin, especially about performances and how to manage them. I would like to understand precisely how it works to see if I can use it in my business context. I come from the relational database world, so as far as I understand on OLAP, the searches are performed on the values of primary keys in dimensions. These subsets are then joined to get the corresponding lines on the facts table. As the dimensions tables are much smaller than the facts table, the queries run faster 1. Questions on performances · the raw data are stored in Hive, and the models and structures (cubes) are stored in HBase; I presume that the whole .json files are stored, is it right ? · Where are the cube results stores (I mean after a build, a refresh or an append action). Is it also in HBase ? I can see in HBase tables like "KYLIN_FF46WDAAGH". Do these kinds of tables contain the cube data ? · I noticed that when I build the 'sample_cube', the volume of data was very important compared to the size of the original files. Is there a way to reduce it (I saw a attribute in the $KYLIN_HOME/tomcat/conf/server.xml file, called 'compression' for the connector on port 7070, but I do not know if it is related to the cube size). I tried to change this parameter to 'yes', but I noticed a huge increase of the duration of cube generation. So I am wondering if it is the good method. · How is it possible to optimize cube size to keep good performance ? · In Hive, putting indexes is not recommended. So how Kylin is ensuring good performance when querying high volumes of data ? Is it through the 'rowkeys' in the advanced settings when you build the cube ? Or is the answer elsewhere ? 2. Questions on cube building · By the way, the 'Advanced settings' step is still unclear for me. I tried to build a cube from scratch using the tables provided in the sample project. But I do not know very much what to put in this section. · My goal is to define groups of data on YEAR_BEG_DT, QTR_BEG_DT,MONTH_BEG_DT. · I do not understand very well why the aggregation group contains so many columns. I tried to remove as many as possible, but when I tried to set up the joins, but some fields were missing so the saving of the cube failed. · What shall we put exactly in the 'Rowkeys' section ? I understand that this is used to define data encoding (for speed access ? ).Am I right ? · Are the aggregation groups used for speed of the queries. I assume it is the case, because it represents the most commonly used associations of columns for the cube. Thank you in advance for your help. Best regards, Jean-Luc. 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