August 2016 - 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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Python Aggregate functions
by Anderson, David B 06 Feb '17

06 Feb '17

Mark, I think there is a bug in the implementation of the PYTHON_MAP aggregate functions. The return value of a PYTHON_MAP aggregate function can change if there are other functions in the query. The return value of my function weighted_percentile_0 (definition below) changes if I include the function median() in my query. The results are incorrect if median() isn't in the query, but are correct if median() is in the query. In this test case, the weights (v2) are all 1 and the values (v1) are uniformly sampled integers from [1,10]. Number of rows for each fctr is ~1000, and my function should reduce to min(v1) in this case. Is some information bleeding between threads? Should I submit a bug report? This is on the default branch. Thanks, Dave sql>select fctr,weighted_percentile_0(v1,v2),min(v1) from mini where fctr < 10 group by fctr order by fctr; +------+--------------------------+------+ | fctr | L1 | L2 | +======+==========================+======+ | 1 | 3 | 1 | | 2 | 2 | 1 | | 3 | 2 | 1 | | 4 | 1 | 1 | | 5 | 3 | 1 | | 6 | 3 | 1 | | 7 | 2 | 1 | | 8 | 1 | 1 | | 9 | 2 | 1 | +------+--------------------------+------+ 9 tuples (126.928ms) sql>select fctr,weighted_percentile_0(v1,v2),min(v1),median(v1) from mini where fctr < 10 group by fctr order by fctr; +------+--------------------------+------+------+ | fctr | L1 | L2 | L3 | +======+==========================+======+======+ | 1 | 1 | 1 | 5 | | 2 | 1 | 1 | 5 | | 3 | 1 | 1 | 5 | | 4 | 1 | 1 | 5 | | 5 | 1 | 1 | 5 | | 6 | 1 | 1 | 5 | | 7 | 1 | 1 | 5 | | 8 | 1 | 1 | 5 | | 9 | 1 | 1 | 5 | +------+--------------------------+------+------+ 9 tuples (519.195ms) sql> CREATE AGGREGATE weighted_percentile_0(a DOUBLE, w DOUBLE) RETURNS DOUBLE LANGUAGE PYTHON_MAP { import numpy as np # Standardize and sort based on values in a q = np.array([0]) / 100.0 idx = np.argsort(a) a_sort = a[idx] w_sort = w[idx] # Get the cumulative sum of weights ecdf = np.cumsum(w_sort) # Find the percentile index positions associated with the percentiles p = q * (w_sort.sum() - 1) # Find the bounding indices (both low and high) idx_low = np.searchsorted(ecdf, p, side='right') idx_high = np.searchsorted(ecdf, p + 1, side='right') idx_high[idx_high > ecdf.size - 1] = ecdf.size - 1 # Calculate the weights weights_high = p - np.floor(p) weights_low = 1.0 - weights_high # Extract the low/high indexes and multiply by the corresponding weights x1 = np.take(a_sort, idx_low) * weights_low x2 = np.take(a_sort, idx_high) * weights_high wp = np.add(x1,x2) return(wp[0]) };

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SUM() OVER (ORDER BY..)
by Anthony Damico 13 Dec '16

13 Dec '16

hi, monetdb does not support SUM() OVER commands.. does anyone have a smart alternative to implement this? thanks SELECT batch_id, job_count, SUM(job_count) OVER (ORDER BY duration) as cumjobs, SUM(job_count) over () as totjobs, duration FROM test_data ;

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cannot access db with mserver5
by Stefano Fioravanzo 31 Aug '16

31 Aug '16

Hello, I have been using monetdb starting my db farm with monetdbd and it has always worked fine. I have tried to start manually mserver5 with the command mserver5 --set embedded_py=true --dbpath=/path/to/db --daemon=yes —set mapi_open=true The process starts correctly, but when I try to launch mclient it says InvalidCredentialsException:checkCredentials:invalid credentials for user ‘monetdb’, what can I do? I want to start the database with mserver5 because I need remote access (—set mapi_open=true), is there a way to enable this flag using monetdbd? Thanks, Stefano

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GEOM Module installed in Sys Schema
by Vincent Sheffer 30 Aug '16

30 Aug '16

It seems that the functions of the Geom module is only accessible from the sys schema. That further implies that only users with access to the sys schema can call Geom functions. What is the best way to ensure that all users can access the functions from the Geom module? Geom types seem to work fine. Thanks, Vince 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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segfault remote table count: could not find L1.L1 NOT NULL as L1 L1.L1
by Anton Kravchenko 25 Aug '16

25 Aug '16

Hi there, when I run 'count' on remote table I get a segfault on worker server: 'could not find L1.L1 NOT NULL as L1 L1.L1 Segmentation fault' Here is master(server/client) and worker (server/client), all are living on localhost (as it was shown in example https://www.monetdb.org/Documentation/Cookbooks/SQLrecipes/DistributedQuery… ). master client [akravchenko@hnode1 ~]$ mclient -d mst Welcome to mclient, the MonetDB/SQL interactive terminal (Jun2016-SP1) Database: MonetDB v11.23.7 (Jun2016-SP1), 'mst' Type \q to quit, \? for a list of available commands auto commit mode: on sql>CREATE REMOTE TABLE t1 (i int) on 'mapi:monetdb://localhost:50001/rt1'; operation successful (1.357ms) sql>\d REMOTE TABLE sys.t1 sql>select * from t1; +------+ | i | +======+ | 11 | | 13 | +------+ 2 tuples (16.205ms) *sql>select count(*) from t1;* *an error occurred on connection: Connection lost* *sql>* worker client [akravchenko@hnode1 ~]$ mclient -d rt1 -p 50001 Welcome to mclient, the MonetDB/SQL interactive terminal (Jun2016-SP1) Database: MonetDB v11.23.7 (Jun2016-SP1), 'rt1' Type \q to quit, \? for a list of available commands auto commit mode: on sql>\d TABLE sys.t1 sql>select count(*) from t1; +------+ | L1 | +======+ | 2 | +------+ 1 tuple (0.594ms) worker server [akravchenko@hnode1 ~]$ mserver5 --dbpath=rt1 --set mapi_port=50001 # MonetDB 5 server v11.23.7 "Jun2016-SP1" # Serving database 'rt1', using 4 threads # Compiled for x86_64-redhat-linux-gnu/64bit with 64bit OIDs and 128bit integers dynamically linked # Found 31.357 GiB available main-memory. # Copyright (c) 1993-July 2008 CWI. # Copyright (c) August 2008-2016 MonetDB B.V., all rights reserved # Visit http://www.monetdb.org/ for further information # Listening for connection requests on mapi:monetdb://127.0.0.1:50001/ # MonetDB/SQL module loaded *>could not find L1.L1 NOT NULL as L1* *L1.L1* *Segmentation fault* master server [akravchenko@hnode1 ~]$ mserver5 --dbpath=mst # MonetDB 5 server v11.23.7 "Jun2016-SP1" # Serving database 'mst', using 4 threads # Compiled for x86_64-redhat-linux-gnu/64bit with 64bit OIDs and 128bit integers dynamically linked # Found 31.357 GiB available main-memory. # Copyright (c) 1993-July 2008 CWI. # Copyright (c) August 2008-2016 MonetDB B.V., all rights reserved # Visit http://www.monetdb.org/ for further information # Listening for connection requests on mapi:monetdb://127.0.0.1:50000/ # MonetDB/SQL module loaded Thank you, Anton

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Is it possible to access two databases in a single select?
by Pablo S 25 Aug '16

25 Aug '16

Is this possible in MonetDB? select * from database1.table1 t1, database2.table2 t2 where t1.col1 = t2.col2 where database1 and database2 are two databases running simultaneously.

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