June 2017 - users-list

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

11 Aug '24

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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/

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[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/

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

24 Feb '24

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DEC2016-SP2 and BINARY bulk load
by Lynn Carol Johnson 11 Jan '18

11 Jan '18

Hi all – I have always used the COPY BINARY INTO … commands to load my 2.0 Billion row genetic data into a monetdb table. With 135 columns, it has been blindingly fast. Last week I moved from the June2016-SP2 release to dec2016-SP2. My binary loads are taking WAY longer. I killed one after 3 hours (via “call sys.stop(pid)” so it could clean up properly). I then started the load again, thinking perhaps the problem was related to the new columns I was adding. I have since dropped the table and remade it using the same data and scripts that worked in just over 3 minutes in February on the jun2016-SP2 load. It is really chugging along – I’m up to 30 minutes and counting. I don’t have access to the sql log files, but the Merovingian.log shows nothing. I do notice that previously the binary files, once loaded, were removed from the loading directly. This does not happen now. Were these files previously “moved” and now they are copied? Has anyone see this performance issue with Dec2016-SP2 COPY BINARY INTO …. Commands? Thanks - Lynn

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MonetDB Blob Inserts
by Brian Hood 07 Dec '17

07 Dec '17

Hi Guys, I don't seem to be able to INSERT into a blob field is there any information how to achieve this. Regards, Brian Hood

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Setting Up Tools
by Sandy 26 Oct '17

26 Oct '17

Just getting back into trying MonetDB after many years. Got the environment set up pretty well with the test DB `VOC` loaded up and able to do all expected in the command line tools. So I figured I would give a couple of the mentioned GUI tools a shot and see how they work against the server I just set up on a virtual box. I picked up the JDBC drivers and installed on my Window's 10 install of SQuirrel SQL and DBeaver. I got both of the drivers works sort of... On DBeaver I can execute and see queries in the tool but can't do much more than that. Overall looks like an issue with accessing the system table `sys.environment`, not sure if anything related to set up or rights. Using the `voc` user as created with the example db in the getting started. Any help or thought on where to start? Thanks! Sandy -------- Errors * DBeaver 4.0.8 On inspection of some of the logs I see things like - `Error loading object metadata from database` `SQL Error [22000]: SELECT: access denied for voc to table 'sys.environment' java.sql.SQLException: SELECT: access denied for voc to table 'sys.environment'` * SQuirreL SQL Client 3.7.1 java.sql.SQLException: SELECT: access denied for voc to table 'sys.environment' -------- Driver and DB versions I'm using this JAR for the drivers - C:\Users\Squidward\Downloads\monetdb-jdbc-2.25.jar, 2.25 (Liberica 20170330 based on MCL v1.15) MonetDB version - MonetDB v11.25.23 (Dec2016-SP5), 'mapi:monetdb://sandy-VirtualBox-18:50000/voc'

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Bug on timestamp ?
by Ariel Abadi 21 Jul '17

21 Jul '17

Hi! May be someone can help me, Im facing the following problem. Im trying to pull some information from the field nrm_connect_time, I tried almost all the date/timestamp functions, but all of them failed. Finally, I decided to CAST as STRING, and see what happends... If I do a SELECT DISTINCT .. then I have the correct information, if I dont include the DISTINCT what I see has nonsense... sql>SELECT nrm_connect_time, LEFT(CAST(nrm_connect_time AS STRING),10) FROM NRM_20170609 LIMIT 5; +----------------------+-----------------------+ | nrm_connect_time | left_nrm_connect_time | +======================+=======================+ | 2017-06-09 00:05:00 | -1-01-01 0 | | 2017-06-09 00:05:00 | -1-01-01 0 | | 2017-06-09 00:05:01 | -1-01-01 0 | | 2017-06-09 00:05:03 | -1-01-01 0 | | 2017-06-09 00:05:03 | -1-01-01 0 | +----------------------+-----------------------+ 5 tuples (29.802ms) sql>*SELECT DISTINCT* nrm_connect_time, LEFT(CAST(nrm_connect_time AS STRING),10) FROM NRM_20170609 LIMIT 5; +----------------------+------------+ | nrm_connect_time | L2 | +======================+============+ | 2017-06-09 00:05:00 | 2017-06-09 | | 2017-06-09 00:05:01 | 2017-06-09 | | 2017-06-09 00:05:03 | 2017-06-09 | | 2017-06-09 00:05:04 | 2017-06-09 | | 2017-06-09 00:05:05 | 2017-06-09 | +----------------------+------------+ 5 tuples (424.306ms) *The "nrm_connect_time" is defined as TIMESTAMP(0).* Let me show you a differente example: sql>*SELECT DISTINCT *nrm_connect_time, LEFT(CAST(nrm_connect_time AS STRING),10), timestamp_to_str(nrm_connect_time, '%Y') FROM NRM_20170609 LIMIT 5; +----------------------+------------+------+ | nrm_connect_time | L2 | L3 | +======================+============+======+ | 2017-06-09 00:05:00 | 2017-06-09 | 2017 | | 2017-06-09 00:05:01 | 2017-06-09 | 2017 | | 2017-06-09 00:05:03 | 2017-06-09 | 2017 | | 2017-06-09 00:05:04 | 2017-06-09 | 2017 | | 2017-06-09 00:05:05 | 2017-06-09 | 2017 | +----------------------+------------+------+ 5 tuples (707.217ms) sql>*SELECT *nrm_connect_time, LEFT(CAST(nrm_connect_time AS STRING),10), timestamp_to_str(nrm_connect_time, '%Y') FROM NRM_20170609 LIMIT 5; TypeException:user.s16_55[123]:'mtime.timestamp_to_str' undefined in: mtime.timestamp_to_str(X_196:oid,A1:str); program contains errors Regards Ariel

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Drop a local temporary table within a function
by Luis Larios 14 Jul '17

14 Jul '17

Hi, all, Consider the following scenario. I have a bunch of user defined functions, f_i, that create, populate, and use a local temporary table with the same name "res": create function f_i() returns table( ... ) begin # Result stats table. create local temporary table res( param1 int, param2 int ); /* Populate res */ /* Use res in some queries */ return table( /* Query involving res */ ); end; My first question is: Does "create local temporary table x" create a table that is disposed/dropped as soon as the function where it was declared finishes execution? I assumed this was the case, but I'm now skeptical as we are running into all sorts of concurrency issues that point to the "res" table not being cleared out properly from memory. This takes me to the second question: How do I drop a temporary table if such table exists? The reason for this is to prevent "table create" exceptions (which we are currently running into). I'd like to achieve something along these lines: create function f_i() returns table( ... ) begin # Drop local temporary table if such table exists. drop local temporary table res; <-------- How do I do this in MonetDB? # Result stats table. create local temporary table res( param1 int, param2 int ); /* Populate res */ /* Use res in some queries */ return table( /* Query involving res */ ); end; Where, as you can see, I want to explicitly drop the local temporary table "res" if such exists. If I leave the "local temporary" markers in the drop statement, MonetDB complains that it found unexpected "LOCAL" or "TEMPORARY". I wouldn't like to remove these markers because a statement like: drop table res; will drop any table in the default function schema with that name. Any help and hints are well appreciated! Thanks for the help in advance ~ Luis Angel The information transmitted, including any attachments, is intended only for the individual or entity to which it is addressed, and may contain confidential and/or privileged information. Any review, retransmission, dissemination or other use of, or taking of any action in reliance upon, this information by individuals or entities other than the intended recipient is prohibited, and all liability arising therefrom is disclaimed. If you have received this communication in error, please delete the information from any computer and notify the sender.

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Jul2015-SP4 vs. Dec2016-SP5
by Anderson, David B 13 Jul '17

13 Jul '17

All, I know I've skipped multiple releases so this is a difficult question to answer, but should I expect the Dec2016-SP5 version of MonetDB to be faster than/equal to the Jul2015-SP4 version? I have a parallel set of servers (on the same box, 24 cores 192GB ram, listening to different ports) operating on identical data sets, and the Dec2016 version is slower than the Jul2015 version (~15-20%). My queries are basic joins between two tables with grouping. I have top running on the same box, and I can see that the Jul2015 server uses all 24 cores, but the Dec2016 server barely cracks 2-3. The MAL plans obtained by explain are totally different (which partly explains the cores being utilized because I can see blocks of 24 commands) and the length of the Dec2016 one is a fraction of the Jul2015 version. I guess the older version was inefficiently using all 24 cores, but the new version efficiently uses a smaller set of cores?? Thanks, Dave

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