March 2019 - users-list

[MonetDB-users] Books CDs
by CHARTS LICENSING 11 Aug '24

11 Aug '24

Everything you want to know this dynamic artist check. At blueberry hills duck, roomfull story gtgt getting. Intriguing, life in biography. Here music looking for lyrics maybe, youre find which! Download free wallpapers featuring business cmg worldwide is exclusive. Videos latest products been easier. Exclusive estate we consider request use name voice, image. List covered berries charts licensing message! Reelin and rockin about, has everything you? Many exciting, photos him stage click! Artist check, out some quotes read all intriguing. It alive he, did on occasion birthday wednesday? Has everything you want to know this? Quotes read all intriguing life, in biography or. Gtgt getting licks years reelin and. Click here, music looking for lyrics maybe, youre. News celebrates his th rock will never! Chuck berry news celebrates his th rock, will. Browse through many exciting, photos him stage click here. He did on occasion birthday wednesday night at blueberry. Wallpapers featuring business cmg worldwide. Worldwide is exclusive estate we consider, request use name. Want to know this dynamic artist check out. Awards fast, facts clips list covered. Music looking for lyrics maybe youre. Message board downloads tour dates fan, club inquiries. Other sites, download free wallpapers featuring, business cmg worldwide. Request use, name, voice.

2 1

Multi-column update based on joined table
by Lee Hachadoorian 11 Aug '24

11 Aug '24

I need to update multiple columns (~250) from one table to another based on a two-column key. In Postgres I would write this using the FROM clause, but since MonetDB doesn't support the FROM clause, I've successfully updated one column with: UPDATE census.acs2010_5yr SET b07401001 = ( SELECT CAST(b07401001 AS int) FROM acs2010_5yr.tmp_seq0001 WHERE acs2010_5yr.stusab = tmp_seq0001.stusab AND acs2010_5yr.logrecno = tmp_seq0001.logrecno ); My question is whether there is any benefit to writing a multiple column update into a single UPDATE statement: UPDATE target_table SET column1 = (SELECT column1 FROM source_table WHERE target_table.key = source_table.key), column2 = (SELECT column2 FROM source_table WHERE target_table.key = source_table.key), ..., columnN = (SELECT columnN FROM source_table WHERE target_table.key = source_table.key); On Postgres I believe the multi-column update using a table join would only have to do the sequential scan of each table once, but with the necessity of sub-selects in MonetDB, what is the backend doing? Is it already doing an index scan once for each row in the single column case, then doing it once for each row * column in the multi-column case? Best, --Lee -- Lee Hachadoorian Asst Professor of Geography, Dartmouth College http://freecity.commons.gc.cuny.edu/

3 3

[MonetDB-users] XQuery API and XLink/XUpdate support
by Alexandra Mart�nez 27 Jun '24

27 Jun '24

Hello all, I was wondering if there is any documentation about the API for XQuery (i.e., how to write xqueries from a Java program). Also, I am interested in using some features of XLink and XUpdate on top of my XML database. Is support for any of these in progress? Thanks in advance, Alexandra ______________________________________________________ Click here to donate to the Hurricane Katrina relief effort. http://store.yahoo.com/redcross-donate3/

4 3

[MonetDB-users] Proofreading your professional documents
by Richard Hounslow 24 Feb '24

24 Feb '24

Dear Professor/Lecturer Please excuse us for contacting you directly. We are offering an efficient service to help you ensure your academic and professional work is written in perfect English. We will check the grammar and style of your work and return it to you to meet your requirements and deadlines. Proof-Reading-Service.com can provide you with a professional proofreading service at a very reasonable rate. All our proofreaders are highly qualified native English speakers. Many work as leading academics in their fields and all have extensive experience of proofreading to the highest standards. If you are interested in our service, please take a look at our website: www.proof-reading-service.com All you have to do is send us your document as a word attachment with the deadline and we will guarantee delivery of a perfectly written document to give you complete confidence when you submit your work. The fee is worked out on a flat rate (£6.95 per thousand words or 0.695 pence per word), so you know exactly how much the proofreading will cost in advance. Once we have received your document(s) we will confirm the word count, the price and the deadline. If you have not heard from us within 2 hours during normal business hours after you have sent your work please resend it from a different email account or send the file to proofreadings(a)gmail.com. We look forward to hearing from you! Yours faithfully Proof-Reading-Service.com

2 2

GDK reported error. MT_mremap: mremap failed. !OS: Cannot allocate memory
by RanchoYuan 04 Jul '19

04 Jul '19

Hi Stefan, Thanks for your reply! We have run the query a few times with different size of data. There we used 16G RAM(actually 13.5G was used), and find the size of 10G's data is the critical point that can run the query. All of the data files' size are listed below, each file name is a table name(there are only a few tables are refered -- store_sales, date_dim, item, customer, catalog_sales, web_sales): 7.4K call_center.dat 1.6M catalog_page.dat 212M catalog_returns.dat 2.9G catalog_sales.dat 27M customer_address.dat 64M customer.dat 77M customer_demographics.dat 9.9M date_dim.dat 77B dbgen_version.dat 149K household_demographics.dat 328B income_band.dat 2.6G inventory.dat 28M item.dat 61K promotion.dat 1.7K reason.dat 1.1K ship_mode.dat 27K store.dat 323M store_returns.dat 3.8G store_sales.dat 4.9M time_dim.dat 1.2K warehouse.dat 19K web_page.dat 98M web_returns.dat 1.5G web_sales.dat 12K web_site.dat So we guess that the monetdb has no memory management? For the output of `mserver5 --version` is: MonetDB 5 server v11.27.13 "Jul2017-SP4" (64-bit, 128-bit integers) Copyright (c) 1993 - July 2008 CWI Copyright (c) August 2008 - 2018 MonetDB B.V., all rights reserved Visit https://www.monetdb.org/ for further information Found 17.0GiB available memory, 40 available cpu cores Libraries: libpcre: 8.38 2015-11-23 (compiled with 8.38) openssl: OpenSSL 1.0.2g 1 Mar 2016 (compiled with OpenSSL 1.0.2g 1 Mar 2016) libxml2: 2.9.3 (compiled with 2.9.3) Compiled by: monetdb(a)MonetDB-0.0 (x86_64-pc-linux-gnu) Compilation: gcc -g -O2 Linking : /usr/bin/ld -m elf_x86_64 And the size of processes is not limited. To let you reproduce the problem conveniently, I'll provide more details here: you can get tpc-ds from its website(we use version 2.6.0). Install the tpc-ds, access the directory v2.6.0/tools and run `./dsdgen -scale 10 -dir /home/monetdb/tpc-ds_test_data10G` to generate the data. When data has been generated, using the script /expe.sh/ to create tables and load the data. The query script is 123.tpcds.23.sql.(The syntaxs of other queries that tpc-ds generates is not suitable for monetdb all, we don't modify them all when the problem occurred). One more question, I can't get your reply email, so I don't know how to reply you, for this case, I could only send a new mail echo time. Thanks! Regards, Rancho

4 3

Performance issue with count distinct
by AUBERT Simon 29 Mar '19

29 Mar '19

Hello all, Here a simple issue I have with performance : 1/ I create a table A and populate it with a bulk load 2/I create a table B, I populate the table with bulk load 3/I create table C with a CTAS statement. I analyze the statistics and set the primary key 4/I try a "count distinct" type query (on all the table) on the PK Field. It is pretty slow, with a high sollicitation of my hard drive for several dozens of second. the "select count" is however fast. So I have these following questions : 1/why despite statistics the count distinct query is slow? I thought the idea of statistics was to get some metrics about the table? 2/if the field I make a count distinct on is the PK (or the set of field is the PK), it's exactly the same than a count non null. So why the time are not the same? 3/if these issues are design issue or bugs, how can I ask to make it solved? For information : Monetdb 11.31.13 on Windows 10 Best regards, Simon AUBERT [cid:691B9F4089B9F34B8E0C22B39B7117EC@eurprd07.prod.outlook.com] Bourse Maritime - 1, place Lainé - 33 000 Bordeaux Mob : +33(0)6 66 28 52 04

2 1

Program contains errors.:(NONE).multiplex
by Niklas B 29 Mar '19

29 Mar '19

Hi, I'm upgrading from an old MonetDB (11.26.0 source snapshot) to the latest proper release. However, my Python aggregate functions appear to have stopped working (Program contains errors.:(NONE).multiplex): Running mserver5 with: /usr/local/bin/mserver5 --daemon=yes --set embedded_py=true --dbpath=/data/monetdb-farm/ --set gdk_nr_threads=1 --set max_clients=6 Reproduce with: CREATE FUNCTION test_udf("conum" int) RETURNS STRING LANGUAGE PYTHON3 {{ }}; Create table test("id" uuid, "date" DATE, "number" INT); select test_udf("number") from test; Gives: Program contains errors.:(NONE).multiplex I'm running it via Docker (stock Debian) with only MonetDB installed via apt-get. Not sure if this is connected: https://www.monetdb.org/bugzilla/show_bug.cgi?id=6378 <https://www.monetdb.org/bugzilla/show_bug.cgi?id=6378> Anyone having any similar issues? Tried compiling from source (April 2019 bransch) as well, no luck Regards, Niklas

3 2

sys.storage sorted attribute changes for primary key
by Jeremy Norris 29 Mar '19

29 Mar '19

Hello, I have a large table (~700 million rows, ~150 columns). Initially after import, the database is very fast on primary key lookups, however after a few thousand creates/updates/deletes on the database, "sorted" (as reported by sys.storage), flips from true to false. This results in major performance degradation. What are the conditions under which a database can lose it's sorted-ness on the primary key column? eg: sql>select schema, table, column, sorted from sys.storage where schema = 'test1' and table = 'cmdb' and column = 'pk_id'; +---------+-------+--------+--------+ | schema | table | column | sorted | +=========+=======+========+========+ | test1 | cmdb | pk_id | false | +---------+-------+--------+--------+ Thanks, -Jeremy Norris

2 1

Fwd: Question about partition bounds of updatable merge tables
by Yinjie Lin 06 Mar '19

06 Mar '19

Hi, I found that there is a new feature called updatable merge table in the new release (Updatable merge tables with partition predicates <https://www.monetdb.org/blog/updatable-merge-tables>). I think this makes merge table similar to *partitioned table* in other databases. But I found that the upper bound of range partitioning is an inclusive bound, while the upper bound of some databases like MySQL and PostgreSQL is an exclusive bound. So my question is: why is the upper bound declaration designed like this? Will it be possible if MonetDB be consistent with other databases? Besides, currently merge table doesn't support partition pruning, so all child tables will be scanned even if the filter condition contains the partitioning key. Is it possible if this feature will be added one day? Best Regards, Yinjie Lin

1 0