December 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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Remote Table IS NULL
by Siklós Gábor 27 Mar '17

27 Mar '17

Hi there, We have an issue about the remote table on monetdb version of 2016 (sp1 and sp2) on Ubuntu 14.04 and on Windows Server2012 R2 The scenario for reproducing the issue with two nodes on node1 Create a table on remote node and fill it: CREATE TABLE test(id int not null, name text, valid boolean); INSERT INTO test (id, name) VALUES (1, '1'); INSERT INTO test (id, name) VALUES (2, '2'); INSERT INTO test (id) VALUES (3); on node2 CREATE REMOTE TABLE test(id int not null, name text, valid boolean) ON 'mapi:monetdb://node1:50000/dbfarm'; Then on node2: select * from test; +------+------+-------+ | id | name | valid | +======+======+=======+ | 1 | 1 | null | | 2 | 2 | null | | 3 | null | null | +------+------+-------+ It works fine, but: select * from test where name is null; +----+------+-------+ | id | name | valid | +====+======+=======+ +----+------+-------+ id 3 should appear here. Furthermore: select * from test where name is not null; (mapi:monetdb://monetdb@192.168.254.31/reports2) Cannot register project ( select ( table(sys.test) [ test.id NOT NULL, test.name, test.valid ] COUNT ) [ clob "NULL" ! <= test.name ! <= clob "NULL" ] ) [ test.id NOT NULL, test.name, test.valid ] REMOTE mapi:monetdb://.../... select * from test where valid is null; illegal input, not a JSON header (got '') and node1 is crashed (need : monetdb start farm). After downgrading on ubuntu 14.04 to version of 2015 (SP4) this scenraio works fine. Thanks, SG

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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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C UDF
by imad hajj chahine 06 Jan '17

06 Jan '17

Hi, After reviewing all the other alternatives like SQL and Python UDF, I was either stuck on performance with SQL UDF or on usability with Python UDF (unable to use with aggregation, and not such great performance with dates), so I decided to go the hard way with C functions, as a bonus it will give me the possibility to change the functionalities without worrying about dependencies, which was not the case in other languages. The purpose is to create a set of formatting functions for Year, Quarter, Month, Week and Day brackets, and of course i need to create the bulk version of each function for performance. Starting from the MTIMEdate_extract_year_bulk, now i have the simple function working, and successfully calling it from mclient: *str* *UDFyearbracket(str *ret, const date *v)* *{* * if (*v == date_nil) {* * *ret = GDKstrdup(str_nil);* * } else {* * int year;* * fromdate(*v, NULL, NULL, &year);* * *ret = (str) GDKmalloc(15);* * sprintf(*ret, "%d", year);* * }* * return MAL_SUCCEED;* *}* For the bulk version i get an error in the log: gdk_atoms.c:1345: strPut: Assertion `(v[i] & 0x80) == 0' failed. *str* *UDFBATyearbracket(bat *ret, const bat *bid)* *{* * BAT *b, *bn;* * BUN i,n;* * str *y;* * const date *t;* * if ((b = BATdescriptor(*bid)) == NULL)* * throw(MAL, "UDF.BATyearbracket", "Cannot access descriptor");* * n = BATcount(b);* * bn = COLnew(b->hseqbase, TYPE_str, BATcount(b), TRANSIENT);* * if (bn == NULL) {* * BBPunfix(b->batCacheid);* * throw(MAL, "UDF.BATyearbracket", "memory allocation failure");* * }* * bn->tnonil = 1;* * bn->tnil = 0;* * t = (const date *) Tloc(b, 0);* * y = (str *) Tloc(bn, 0);* * for (i = 0; i < n; i++) {* * if (*t == date_nil) {* * *y = GDKstrdup(str_nil);* * } else* * UDFyearbracket(y, t);* * if (strcmp(*y, str_nil) == 0) {* * bn->tnonil = 0;* * bn->tnil = 1;* * }* * y++;* * t++;* * }* * BATsetcount(bn, (BUN) (y - (str *) Tloc(bn, 0)));* * bn->tsorted = BATcount(bn)<2;* * bn->trevsorted = BATcount(bn)<2;* * BBPkeepref(*ret = bn->batCacheid);* * BBPunfix(b->batCacheid);* * return MAL_SUCCEED;* *}* PS: I am not a c expert but i can find my way with basic operations and pointers. Any help or suggestions is appreciated. Thank you.

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COPY INFO Exception
by ping gao 高平(0) 03 Jan '17

03 Jan '17

Hi ALL I encountered a problem using a COPY INFO The command to execute: [hotel@02 data_visual_monetdb]$ mclient -u monetdb -d hotel-revenue -s "COPY 1727300 RECORDS INTO hotel_revenue_octopus_hotel_info FROM '/home/ping.gao/data_visual_monetdbinfo.data' USING DELIMITERS ',','\\n'<smb://n'>,'\"'" password: Failed to import table Leftover data '"0”' Data Format(Line separator —> \n): “test”,”test”,”test”,”test”

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File System Backups
by Vincent Sheffer 30 Dec '16

30 Dec '16

I’m trying to do automated incremental backups following these instructions: https://www.monetdb.org/Documentation/UserGuide/FastDumpRestore My question is whether why isn’t it enough to just stop the DB? Is the waiting for open sessions a courtesy or is it required that no statements are executing prior to shutdown? Is it similar for the shutdown command? It gives people in a session time to exit or something? Again, these are to be automated at a time of night that queries should not be being executed. Bottom line question: is it enough to stop and lock a database to ensure the binary backup will have no errors that prevent the backup from being restored or are the other steps required? 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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table renaming
by Stefano Fioravanzo 30 Dec '16

30 Dec '16

Hello, In this blog post https://www.monetdb.org/blog/monetdb-autumn-2016-feature-release-outlook <https://www.monetdb.org/blog/monetdb-autumn-2016-feature-release-outlook> it was mentioned the possibility of renaming tables. It is possible with the new Dec2016 release? Thank you Stefano

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