November 2013 - users-list

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

11 Aug '24

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2 1

[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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I can integrate monetdb as hadoop?
by Edgar Mejia 02 Dec '13

02 Dec '13

if for example i have 300 millions of rows, i need to use something as hadoop? is posible integrate monetdb as hadoop? if i use only monetdb, and i have 300 millions of rows, how much memory and processor is recommended as minimum? Thanks, EM

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Very different query speeds for two similar queries
by Will Muldrew 02 Dec '13

02 Dec '13

Hi I've been trying out monetdb on a 350M row table (modern linux workstation with 24GB RAM + SSD). This table has a sorted TIMESTAMP column and a second unsorted VARCHAR(6) column which is non-unique (perhaps 50M distinct values fairly randomly distributed). This query is very slow, spends huge amount of time writing, and has very low CPU (intermediate results?): select count(*) from t_order where orderId = 'XXXXXX' This takes hours to complete. However, this query is a lot faster, even though the timestamp clause is redundant (all my data is > '2012-01-01'): select count(*) from t_order where orderId = 'XXXXXX' and time > '1970-01-01'; The first run is slowish (10s of seconds - I guess because we're reading the orderId column fully), however subsequent runs are sub-second. Obviously I could write an app which puts the spurious timestamp clause into the where, but it's still confusing and not ideal. Is there something I can do? The EXPLAINs are: sql>explain select count(*) from t_order where orderId = 'XXXXXX' and time > '1970-01-01'; +-------------------------------------------------------------------------------------------------------------------------+ | mal | +=========================================================================================================================+ | function user.s9_3{autoCommit=true}(A0:str,A1:str):void; | | X_14 := nil:wrd; | | barrier X_263 := language.dataflow(); | | X_4 := sql.mvc(); | | X_68:bat[:oid,:str] := sql.bind(X_4,"sys","t_order","orderid",0,0,16); | | X_132 := X_68; | | X_101:bat[:oid,:timestamp] := sql.bind(X_4,"sys","t_order","time",0,0,16); | | X_164 := X_101; | | X_35:bat[:oid,:oid] := sql.tid(X_4,"sys","t_order",0,16); | | X_10 := calc.timestamp(A1,7); | | X_180 := algebra.thetasubselect(X_164,X_35,X_10,">"); | | X_197 := algebra.subselect(X_132,X_180,A0,A0,true,true,false); | | X_228 := algebra.leftfetchjoin(X_197,X_164); | | X_246 := aggr.count(X_228); | | X_70:bat[:oid,:str] := sql.bind(X_4,"sys","t_order","orderid",0,1,16); | | X_133 := X_70; | | X_103:bat[:oid,:timestamp] := sql.bind(X_4,"sys","t_order","time",0,1,16); | | X_165 := X_103; | | X_37:bat[:oid,:oid] := sql.tid(X_4,"sys","t_order",1,16); | | X_181 := algebra.thetasubselect(X_165,X_37,X_10,">"); | | X_199 := algebra.subselect(X_133,X_181,A0,A0,true,true,false); | | X_229 := algebra.leftfetchjoin(X_199,X_165); | | X_247 := aggr.count(X_229); | | X_72:bat[:oid,:str] := sql.bind(X_4,"sys","t_order","orderid",0,2,16); | | X_134 := X_72; | | X_105:bat[:oid,:timestamp] := sql.bind(X_4,"sys","t_order","time",0,2,16); | | X_166 := X_105; | | X_39:bat[:oid,:oid] := sql.tid(X_4,"sys","t_order",2,16); | | X_182 := algebra.thetasubselect(X_166,X_39,X_10,">"); | | X_201 := algebra.subselect(X_134,X_182,A0,A0,true,true,false); | | X_230 := algebra.leftfetchjoin(X_201,X_166); | | X_248 := aggr.count(X_230); | | X_74:bat[:oid,:str] := sql.bind(X_4,"sys","t_order","orderid",0,3,16); | | X_135 := X_74; | | X_107:bat[:oid,:timestamp] := sql.bind(X_4,"sys","t_order","time",0,3,16); | | X_167 := X_107; | | X_41:bat[:oid,:oid] := sql.tid(X_4,"sys","t_order",3,16); | | X_183 := algebra.thetasubselect(X_167,X_41,X_10,">"); | | X_203 := algebra.subselect(X_135,X_183,A0,A0,true,true,false); | | X_231 := algebra.leftfetchjoin(X_203,X_167); | | X_249 := aggr.count(X_231); | | X_76:bat[:oid,:str] := sql.bind(X_4,"sys","t_order","orderid",0,4,16); | | X_136 := X_76; | | X_109:bat[:oid,:timestamp] := sql.bind(X_4,"sys","t_order","time",0,4,16); | | X_168 := X_109; | | X_43:bat[:oid,:oid] := sql.tid(X_4,"sys","t_order",4,16); | | X_184 := algebra.thetasubselect(X_168,X_43,X_10,">"); | | X_205 := algebra.subselect(X_136,X_184,A0,A0,true,true,false); | | X_232 := algebra.leftfetchjoin(X_205,X_168); | | X_250 := aggr.count(X_232); | | X_78:bat[:oid,:str] := sql.bind(X_4,"sys","t_order","orderid",0,5,16); | | X_137 := X_78; | | X_111:bat[:oid,:timestamp] := sql.bind(X_4,"sys","t_order","time",0,5,16); | | X_169 := X_111; | | X_45:bat[:oid,:oid] := sql.tid(X_4,"sys","t_order",5,16); | | X_185 := algebra.thetasubselect(X_169,X_45,X_10,">"); | | X_207 := algebra.subselect(X_137,X_185,A0,A0,true,true,false); | | X_233 := algebra.leftfetchjoin(X_207,X_169); | | X_251 := aggr.count(X_233); | | X_80:bat[:oid,:str] := sql.bind(X_4,"sys","t_order","orderid",0,6,16); | | X_138 := X_80; | | X_113:bat[:oid,:timestamp] := sql.bind(X_4,"sys","t_order","time",0,6,16); | | X_170 := X_113; | | X_47:bat[:oid,:oid] := sql.tid(X_4,"sys","t_order",6,16); | | X_186 := algebra.thetasubselect(X_170,X_47,X_10,">"); | | X_209 := algebra.subselect(X_138,X_186,A0,A0,true,true,false); | | X_234 := algebra.leftfetchjoin(X_209,X_170); | | X_252 := aggr.count(X_234); | | X_82:bat[:oid,:str] := sql.bind(X_4,"sys","t_order","orderid",0,7,16); | | X_139 := X_82; | | X_115:bat[:oid,:timestamp] := sql.bind(X_4,"sys","t_order","time",0,7,16); | | X_171 := X_115; | | X_49:bat[:oid,:oid] := sql.tid(X_4,"sys","t_order",7,16); | | X_187 := algebra.thetasubselect(X_171,X_49,X_10,">"); | | X_211 := algebra.subselect(X_139,X_187,A0,A0,true,true,false); | | X_235 := algebra.leftfetchjoin(X_211,X_171); | | X_253 := aggr.count(X_235); | | X_84:bat[:oid,:str] := sql.bind(X_4,"sys","t_order","orderid",0,8,16); | | X_140 := X_84; | | X_117:bat[:oid,:timestamp] := sql.bind(X_4,"sys","t_order","time",0,8,16); | | X_172 := X_117; | | X_51:bat[:oid,:oid] := sql.tid(X_4,"sys","t_order",8,16); | | X_188 := algebra.thetasubselect(X_172,X_51,X_10,">"); | | X_213 := algebra.subselect(X_140,X_188,A0,A0,true,true,false); | | X_236 := algebra.leftfetchjoin(X_213,X_172); | | X_254 := aggr.count(X_236); | | X_86:bat[:oid,:str] := sql.bind(X_4,"sys","t_order","orderid",0,9,16); | | X_141 := X_86; | | X_119:bat[:oid,:timestamp] := sql.bind(X_4,"sys","t_order","time",0,9,16); | | X_173 := X_119; | | X_53:bat[:oid,:oid] := sql.tid(X_4,"sys","t_order",9,16); | | X_189 := algebra.thetasubselect(X_173,X_53,X_10,">"); | | X_215 := algebra.subselect(X_141,X_189,A0,A0,true,true,false); | | X_237 := algebra.leftfetchjoin(X_215,X_173); | | X_255 := aggr.count(X_237); | | X_88:bat[:oid,:str] := sql.bind(X_4,"sys","t_order","orderid",0,10,16); | | X_142 := X_88; | | X_121:bat[:oid,:timestamp] := sql.bind(X_4,"sys","t_order","time",0,10,16); | | X_174 := X_121; | | X_55:bat[:oid,:oid] := sql.tid(X_4,"sys","t_order",10,16); | | X_190 := algebra.thetasubselect(X_174,X_55,X_10,">"); | | X_217 := algebra.subselect(X_142,X_190,A0,A0,true,true,false); | | X_238 := algebra.leftfetchjoin(X_217,X_174); | | X_256 := aggr.count(X_238); | | X_90:bat[:oid,:str] := sql.bind(X_4,"sys","t_order","orderid",0,11,16); | | X_143 := X_90; | | X_123:bat[:oid,:timestamp] := sql.bind(X_4,"sys","t_order","time",0,11,16); | | X_175 := X_123; | | X_57:bat[:oid,:oid] := sql.tid(X_4,"sys","t_order",11,16); | | X_191 := algebra.thetasubselect(X_175,X_57,X_10,">"); | | X_219 := algebra.subselect(X_143,X_191,A0,A0,true,true,false); | | X_239 := algebra.leftfetchjoin(X_219,X_175); | | X_257 := aggr.count(X_239); | | X_92:bat[:oid,:str] := sql.bind(X_4,"sys","t_order","orderid",0,12,16); | | X_144 := X_92; | | X_125:bat[:oid,:timestamp] := sql.bind(X_4,"sys","t_order","time",0,12,16); | | X_176 := X_125; | | X_59:bat[:oid,:oid] := sql.tid(X_4,"sys","t_order",12,16); | | X_192 := algebra.thetasubselect(X_176,X_59,X_10,">"); | | X_221 := algebra.subselect(X_144,X_192,A0,A0,true,true,false); | | X_240 := algebra.leftfetchjoin(X_221,X_176); | | X_258 := aggr.count(X_240); | | X_94:bat[:oid,:str] := sql.bind(X_4,"sys","t_order","orderid",0,13,16); | | X_145 := X_94; | | X_127:bat[:oid,:timestamp] := sql.bind(X_4,"sys","t_order","time",0,13,16); | | X_177 := X_127; | | X_61:bat[:oid,:oid] := sql.tid(X_4,"sys","t_order",13,16); | | X_193 := algebra.thetasubselect(X_177,X_61,X_10,">"); | | X_223 := algebra.subselect(X_145,X_193,A0,A0,true,true,false); | | X_241 := algebra.leftfetchjoin(X_223,X_177); | | X_259 := aggr.count(X_241); | | X_96:bat[:oid,:str] := sql.bind(X_4,"sys","t_order","orderid",0,14,16); | | X_146 := X_96; | | X_129:bat[:oid,:timestamp] := sql.bind(X_4,"sys","t_order","time",0,14,16); | | X_178 := X_129; | | X_63:bat[:oid,:oid] := sql.tid(X_4,"sys","t_order",14,16); | | X_194 := algebra.thetasubselect(X_178,X_63,X_10,">"); | | X_225 := algebra.subselect(X_146,X_194,A0,A0,true,true,false); | | X_242 := algebra.leftfetchjoin(X_225,X_178); | | X_260 := aggr.count(X_242); | | X_98:bat[:oid,:str] := sql.bind(X_4,"sys","t_order","orderid",0,15,16); | | X_147 := X_98; | | X_131:bat[:oid,:timestamp] := sql.bind(X_4,"sys","t_order","time",0,15,16); | | X_179 := X_131; | | X_65:bat[:oid,:oid] := sql.tid(X_4,"sys","t_order",15,16); | | X_195 := algebra.thetasubselect(X_179,X_65,X_10,">"); | | X_227 := algebra.subselect(X_147,X_195,A0,A0,true,true,false); | | X_243 := algebra.leftfetchjoin(X_227,X_179); | | X_261 := aggr.count(X_243); | | X_245 := mat.pack(X_246,X_247,X_248,X_249,X_250,X_251,X_252,X_253,X_254,X_255,X_256,X_257,X_258,X_259,X_260,X_261); | | X_262 := algebra.selectNotNil(X_245); | | X_14 := aggr.sum(X_262); | | language.pass(X_164); | | language.pass(X_165); | | language.pass(X_166); | | language.pass(X_167); | | language.pass(X_168); | | language.pass(X_169); | | language.pass(X_170); | | language.pass(X_171); | | language.pass(X_172); | | language.pass(X_173); | | language.pass(X_174); | | language.pass(X_175); | | language.pass(X_176); | | language.pass(X_177); | | language.pass(X_178); | | language.pass(X_179); | | exit X_263; | | sql.exportValue(1,"sys.L1","L1","wrd",64,0,6,X_14,""); | | end s9_3; | +-------------------------------------------------------------------------------------------------------------------------+ 171 tuples (63.183ms) sql>explain select count(*) from t_order where orderId = 'XXXXXX'; +----------------------------------------------------------------+ | mal | +================================================================+ | function user.s10_3{autoCommit=true}(A0:str):void; | | X_3 := sql.mvc(); | | X_7 := sql.bind(X_3,"sys","t_order","orderid",0); | | X_10 := X_7; | | X_4:bat[:oid,:oid] := sql.tid(X_3,"sys","t_order"); | | X_11 := algebra.subselect(X_10,X_4,A0,A0,true,true,false); | | X_13 := algebra.leftfetchjoin(X_11,X_10); | | X_14 := aggr.count(X_13); | | sql.exportValue(1,"sys.L1","L1","wrd",64,0,6,X_14,""); | | end s10_3; | | # optimizer.mitosis() | | # optimizer.dataflow() | +----------------------------------------------------------------+ 12 tuples (0.838ms) sql>select * from storage() where "table" = 't_order'; +--------+---------+-------------------+-----------+----------+-----------+-----------+------------+------------+---------+--------+ | schema | table | column | type | location | count | typewidth | columnsize | heapsize | indices | sorted | +========+=========+===================+===========+==========+===========+===========+============+============+=========+========+ | sys | t_order | time | timestamp | 11/1146 | 349989136 | 8 | 2799913088 | 0 | 0 | true | ... | sys | t_order | orderid | varchar | 10/1043 | 349989136 | 6 | 2799913088 | 8240889856 | 0 | false | ... | sys | t_order | idx_orderid | oid | 04/456 | 349989136 | 8 | 2799913088 | 0 | 0 | true | +--------+---------+-------------------+-----------+----------+-----------+-----------+------------+------------+---------+--------+ (some fields edited out...) So the fast one has a much more complicated MAL plan. (Other than this, and a date parsing prob which I've reported, I'm really excited about this software!) -Will Muldrew

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Re: copy into failed to import table
by Colin Foss 30 Nov '13

30 Nov '13

I am using the latest version. MonetDB 5 server v11.15.17 "Feb2013-SP5". The server and client are running under my account. The files and folders were also created with my account. Here is a simpler version which also encounters the "failed to import table" message. CREATE TABLE staging_simple_results( lookup varchar(20) NULL, extra_symbol varchar(20) NULL, measure1 tinyint NULL, base_temp float NULL ) ; Here are the contents of the same input, in a file called D:\junk\simple_import.csv. The file is also attached. one,two,3,4.023456787 green,brown,2,8.3456837 This is the statement I issued for the bulk load. copy into staging_simple_results from ('D:\junk\simple_import.csv') delimiters ',', '\\r\\n' ; On 2013-11-27 09:03, Colin Foss wrote: > > I created a table with 43 columns. The table contains char, > varchar, and tinyint datatypes. I am running on Windows Server > 2008 R2 64bit. The file contains two rows and is comma separated. > The file is BCP output from MSSQL. When I tried to bulk load into > the table from a file with a COPY INTO command I got an unhelpful > message. > > "failed to import table" > > How can I find out why the import failed? Which version of MonetDB are you using? I seem to remember fixing a problem where the actual failure message wasn't propagated to the level where the error was reported.

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"temp" table renamed to "temporary"
by Lee Hachadoorian 28 Nov '13

28 Nov '13

I created a nontemporary table, but named it "temp" (because, after messing around with it, I was going to drop it). The table name on create was changed to "temporary". But the name "temp" still works in some contexts (apparently all SQL) but not others (\d). See session history below. Is this by design? --Lee sql>CREATE TABLE geo_boundaries.temp (id int PRIMARY KEY, name text); operation successful (55.041ms) sql>SELECT * FROM geo_boundaries.temp; +----+------+ | id | name | +====+======+ +----+------+ 0 tuples (1.818ms) sql>INSERT INTO geo_boundaries.temp VALUES (1, 'name'); 1 affected row (16.073ms) sql>SELECT * FROM geo_boundaries.temp; +------+------+ | id | name | +======+======+ | 1 | name | +------+------+ 1 tuple (0.977ms) sql>\d geo_boundaries.temp table geo_boundaries.temp does not exist sql>\d TABLE geo_boundaries.states TABLE geo_boundaries.temporary sql>\d geo_boundaries.temporary CREATE TABLE "geo_boundaries"."temporary" ( "id" INTEGER NOT NULL, "name" CHARACTER LARGE OBJECT, CONSTRAINT "temporary_id_pkey" PRIMARY KEY ("id") ); sql>DROP TABLE geo_boundaries.temp; operation successful (21.538ms) sql>\d TABLE geo_boundaries.states sql> -- Lee Hachadoorian Assistant Professor in Geography, Dartmouth College http://geospatial.commons.gc.cuny.edu http://freecity.commons.gc.cuny.edu

1 0

Table very slow
by Edgar Mejia 27 Nov '13

27 Nov '13

HI, i have one table as 15 millions of rows of all 2013. I all days delete the las 2 months and return to reload them again. Today is table is very slow, one select count takes more that 2 minutes, when it would normally to a few seconds. I migrate this information to a new table and this table if works fine and is very fast. What i need to do for to fix this and how i to fix this table slow? Thansk Edgar M

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copy into failed to import table
by Colin Foss 27 Nov '13

27 Nov '13

I created a table with 43 columns. The table contains char, varchar, and tinyint datatypes. I am running on Windows Server 2008 R2 64bit. The file contains two rows and is comma separated. The file is BCP output from MSSQL. When I tried to bulk load into the table from a file with a COPY INTO command I got an unhelpful message. "failed to import table" How can I find out why the import failed?

2 1

Sum of nulls is 0
by Pedro Salgueiro 26 Nov '13

26 Nov '13

Hi, A few weeks ago we encountered an issue with monetdb when summing nulls, grouped by some column. We managed to create a simple test case which reproduces this scenario: create table test (number int, name varchar(50)); > > insert into test values(1,'jonh'); > insert into test values(2,'mike'); > insert into test values(3,'mary'); > insert into test values(null,'austin'); > insert into test values(null,'jonh'); > insert into test values(null,'mary'); > > select name, sum(number) > from test > group by name; The result of this query is: > austin | 0 > jonh | 1 > mary | 3 > mike | 2 But the expected result is: > austin | null > jonh | 1 > mary | 3 > mike | 2 The version that we are using is Feb2013-SP5. We found a bug report that could be related to this one, but we are not sure: http://bugs.monetdb.org/show_bug.cgi?id=3388 Should we open a new issue for this one? Thank you, Pedro Salgueiro

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