May 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

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

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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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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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How to use prepared statements within a function
by Luis Larios 08 Jun '17

08 Jun '17

Hi, We’d like to know if there is a way to create and execute prepared statements within an SQL function. In particular, once that we use: “prepare select * from table” How can I retrieve the prepared statement ID to use in an exec()? Thanks, Luis Ángel. 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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Cannot execute embedded R in MonetDB
by Luis Larios 25 May '17

25 May '17

Hi, We are having issues when executing embedded R in a MonetDB SQL function. We have compiled and configured MonetDB accordingly, so as to be able to run embedded R; however, the simple example in the documentation fails to execute. This is the function we have: create function rapi00() returns table( d int ) language R { return seq(1,10); }; Having just "seq(1,10)" doesn't make any difference either. When this function gets created, we don't get any error; however, when we do the following: select d from rapi00() as r where d > 5; we get the this error: Query failed: TypeException:user.s6_3[3]:'rapi.eval' undefined in: X_4:bat[:int] := rapi.eval(7fdb9830e210:ptr,"{\n\treturn seq(1,10);\n};":str); We don't know how to tackle this issue. We have followed the process from https://www.monetdb.org/content/embedded-r-monetdb. Do you have any suggestion to make this work? Thanks! Luis Ángel. 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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binary bulk loading improvements?
by Lynn Carol Johnson 22 May '17

22 May '17

Hello Stefan and developers – Has any more thought been given to performance issues on binary bulk loading of large tables? I’m hoping to hear the “steal” option will be available in an upcoming release. Thanks - Lynn

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Distributed Join and Replica Tables
by Kelly Burkhart 11 May '17

11 May '17

Can someone describe how exactly replica tables are used to push joins to worker nodes? Assume a master node and two worker nodes. I assume my reference table would go on my master node, and on my worker nodes I would have my large data table and replicas of the reference tables from the master node. Is that the general strategy? Thanks, -K

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