HP_Omistaja 9. maata 2008 10:42 ktluser 30. Augta 2008 20:05 48,24 1,0,0,1,1,1,0,0,0,0 1,32,57,824,511,17 Arial, 15 0,Model Result_database_conn,2,2,-32766,1,Result database connection.ANA 100,1,1,1,2,9,2970,2100,15,0 0 144,168,1 128,16 1,0,0,1,0,0,0,78,0,1 52425,39321,65535 Input_dim 0 144,272,1 128,16 1,0,0,1,0,0,0,72,0,1 52425,39321,65535 Locations2 0 144,448,1 128,16 1,0,0,1,0,0,0,72,0,1 52425,39321,65535 Input_run 0 144,344,1 128,16 1,0,0,1,0,0,0,72,0,1 52425,39321,65535 Input_var 0 144,416,1 128,16 1,0,0,1,0,0,0,70,0,1 52425,39321,65535 Var_for_rdb jtue 18. heita 2008 10:14 48,24 744,288,1 48,24 1,236,12,969,495,17 This library contains functions to make various instances of concatenation more convenient. Concat3 thru Concat10 are generalizations of the built-in Concat function which concatenate from 3 to 10 arrays in a single call (while the built-in Concat concatenates two arrays). ConcatRows concatenates all the rows of a single array. David Kendall & Lonnie Chrisman Mon, Jan 26, 2004 8:49 AM Lonnie Wed, Sep 05, 2007 3:23 PM 48,24 72,248,1 68,24 1,0,0,1,1,1,0,0,0,0 1,39,36,798,452,23 (A1, A2, A3: ArrayType; I1, I2, I3, J: IndexType ) Concatenates three arrays, A1, A2, and A3. I1, I2, and I3 are the indexes that are joined; J is the index of the new array; J usually is the concatenation of I1, I2, and I3 Index I12 := Concat(I1,I2); Concat( Concat( A1,A2,I1,I2,I12 ), A3, I12, I3, J ) 88,64,1 48,26 2,56,56,986,596 A1,A2,A3,I1,I2,I3,J (A1, A2, A3, A4: ArrayType; I1, I2, I3, I4, J: IndexType ) Concatenates four arrays, A1, A2, A3, and A4. I1, I2, I3, and I4 are the indexes that are joined; J is the index of the new array; J usually is the concatenation of I1, I2, I3, and I4. Index I12 := Concat(I1,I2); Index I123:= Concat(I12, I3); Concat( Concat( Concat( A1,A2,I1,I2,I12 ), A3, I12, I3, I123), A4, I123, I4, J); 192,64,1 48,24 2,30,30,986,596 A1,A2,A3,A4,I1,I2,I3,I4,J 0 (A1, A2, A3, A4, A5, A6, A7, A8, A9: ArrayType; I1, I2, I3, I4, I5, I6, I7, I8, I9, J: IndexType) Concatenates nine arrays, A1, ..., A9. I1, ..., I9 are the indexes joined; J is the index of the new array; J usually is the concatenation of I1, ..., I9. Index I12 := Concat(I1,I2); Index I123 := Concat(I12, I3); Index I1234 := Concat(I123, I4); Index I12345 := Concat(I1234, I5); Index I123456 := Concat(I12345, I6); Index I1234567 := Concat(I123456, I7); Index I12345678 := Concat(I1234567, I8); Concat( Concat( Concat( Concat( Concat( Concat( Concat( Concat( A1,A2,I1,I2,I12 ), A3, I12, I3, I123), A4, I123, I4, I1234), A5, I1234, I5, I12345), A6, I12345, I6, I123456), A7, I123456, I7, I1234567), A8, I1234567, I8, I12345678), A9, I12345678, I9, J); 88,232,1 48,24 2,27,120,469,638 A1,A2,A3,A4,A5,A6,A7,A8,A9,I1,I2,I3,I4,I5,I6,I7,I8,I9,J 0 (A1, A2, A3, A4, A5: ArrayType; I1, I2, I3, I4, I5, J: IndexType ) Concatenates five arrays, A1, ..., A5. I1, ..., I5 are the indexes joined; J is the index of the new array; J usually is the concatenation of I1, ..., I5. Index I12 := Concat(I1,I2); Index I123:= Concat(I12, I3); Index I1234 := Concat(I123, I4); Concat( Concat( Concat( Concat( A1,A2,I1,I2,I12 ), A3, I12, I3, I123), A4, I123, I4, I1234), A5, I1234, I5, J); 88,120,1 48,24 2,160,160,986,596 A1,A2,A3,A4,A5,I1,I2,I3,I4,I5,J (A1, A2, A3, A4, A5, A6: ArrayType; I1, I2, I3, I4, I5, I6, J: IndexType ) Concatenates six arrays, A1, ..., A6. I1, ..., I6 are the indexes joined; J is the index of the new array; J usually is the concatenation of I1, ..., I6. Index I12 := Concat(I1,I2); Index I123:= Concat(I12, I3); Index I1234 := Concat(I123, I4); Index I12345 := Concat(I1234, I5); Concat( Concat( Concat( Concat( Concat( A1,A2,I1,I2,I12 ), A3, I12, I3, I123), A4, I123, I4, I1234), A5, I1234, I5, I12345), A6, I12345, I6, J); 192,120,1 48,24 2,644,94,602,712 A1,A2,A3,A4,A5,A6,I1,I2,I3,I4,I5,I6,J 0 (A1, A2, A3, A4, A5, A6, A7: ArrayType; I1, I2, I3, I4, I5, I6, I7, J: IndexType ) Concatenates seven arrays, A1, ..., A7. I1, ..., I7 are the indexes joined; J is the index of the new array; J usually is the concatenation of I1, ..., I7. Index I12 := Concat(I1,I2); Index I123:= Concat(I12, I3); Index I1234 := Concat(I123, I4); Index I12345 := Concat(I1234, I5); Index I123456 := Concat(I12345, I6); Concat( Concat( Concat( Concat( Concat( Concat( A1,A2,I1,I2,I12 ), A3, I12, I3, I123), A4, I123, I4, I1234), A5, I1234, I5, I12345), A6, I12345, I6, I123456), A7, I123456, I7, J); 88,176,1 48,24 2,580,98,551,565 A1,A2,A3,A4,A5,A6,A7,I1,I2,I3,I4,I5,I6,I7,J (A1, A2, A3, A4, A5, A6, A7, A8: ArrayType; I1, I2, I3, I4, I5, I6, I7, I8, J: IndexType ) Concatenates eight arrays, A1, ..., A8. I1, ..., I8 are the indexes joined; J is the index of the new array; J usually is the concatenation of I1, ..., I8. Index I12 := Concat(I1,I2); Index I123:= Concat(I12, I3); Index I1234 := Concat(I123, I4); Index I12345 := Concat(I1234, I5); Index I123456 := Concat(I12345, I6); Index I1234567 := Concat(I123456, I7); Concat( Concat( Concat( Concat( Concat( Concat( Concat( A1,A2,I1,I2,I12 ), A3, I12, I3, I123), A4, I123, I4, I1234), A5, I1234, I5, I12345), A6, I12345, I6, I123456), A7, I123456, I7, I1234567), A8, I1234567, I8, J); 192,176,1 48,24 2,12,98,561,737 A1,A2,A3,A4,A5,A6,A7,A8,I1,I2,I3,I4,I5,I6,I7,I8,J 0 (A1, A2, A3, A4, A5, A6, A7, A8, A9, A10: ArrayType; I1, I2, I3, I4, I5, I6, I7, I8, I9, I10, J: IndexType) Concatenates ten arrays, A1, ..., A10. I1, ..., I10 are the indexes joined; J is the index of the new array; J usually is the concatenation of I1, ..., I10. Index I12 := Concat(I1,I2); Index I123 := Concat(I12, I3); Index I1234 := Concat(I123, I4); Index I12345 := Concat(I1234, I5); Index I123456 := Concat(I12345, I6); Index I1234567 := Concat(I123456, I7); Index I12345678 := Concat(I1234567, I8); Index I123456789 := Concat(I12345678, I9); Concat( Concat( Concat( Concat( Concat( Concat( Concat( Concat( Concat( A1,A2,I1,I2,I12 ), A3, I12, I3, I123), A4, I123, I4, I1234), A5, I1234, I5, I12345), A6, I12345, I6, I123456), A7, I123456, I7, I1234567), A8, I1234567, I8, I12345678), A9, I12345678, I9, I123456789), A10, I123456789, I10, J); 192,232,1 48,24 2,542,93,632,744 A1,A2,A3,A4,A5,A6,A7,A8,A9,A10,I1,I2,I3,I4,I5,I6,I7,I8,I9,I10,J 0 (A : ArrayType ; RowIndex,ColIndex,ResultIndex : IndexType) Takes an array, A indexed by RowIndex & ColIndex, and concatenates each row, henceforth flattening the array by one dimension. The result is indexed by ResultIndex, which must be an index with size(RowIndex) * size(ColIndex) elements. index L := [ identifier of RowIndex, identifier of ColIndex, "val"]; slice(Mdarraytotable(A,ResultIndex,L),L,3) 320,64,1 64,24 2,30,320,478,348 A,RowIndex,ColIndex,ResultIndex Table(Self,Vari)( 'Bw1',1, 'H1991',0 ) ['item 1','item 2'] 224,136,1 48,16 1,1,1,1,1,1,0,0,0,0 2,102,90,476,481 2,406,325,416,303,0,MIDM 2,355,348,653,303,0,MIDM [Formnode Var_for_rdb1] 52425,39321,65535 [Vari,Self] [Self,Vari] [1,1,1,0] [Sys_localindex('I'),1,Sys_localindex('F'),1,Sys_localindex('G'),1] 1) The process is done for each variable one at a time (this is indexed by x). 2) The variable is given index runn which is equal to run if probabilistic and 0 if not. 3) The array is flattened first to 2-D, the value only is kept, added with sample and result_id. 4) Variables are concatenated to each other. 5) Row is made the index of the implicit index. var output:= 0; var e:= card_res; var x:= 1; while x<= size(var_for_rdb)/size(vari) do ( var c:= slice(Var_for_rdb,var_for_rdb,x); index runn:= if c[Vari='Probabilistic?']=1 then copyindex(run) else [0]; var b:= getfract(mid(evaluate(c[vari='Var_name'])),0.5); var a:= if c[Vari='Probabilistic?']=1 then ( var d:= sample(evaluate(c[vari='Var_name'])); d[run=runn]) else ( var d:= b; if runn=0 then d else d); index endscen:= 1+e..size(b)+e; index row2:= 1..size(endscen)*size(runn); index l:= concat(indexnames(b),['Value']); a:= mdarraytotable(a,endscen,l); a:= a[.l='Value']; var f:= if c[vari='Var_name']= Variables[.j='Var_name'] then Variables[.j='Var_id'] else 0; f:= sum(f,f.i); a:= array(iresult,[endscen,f,a,runn]); a:= concatrows(a,endscen,runn,row2); output:= if x= 1 then a else for y:= iresult do ( concat(output[iresult=y],a[iresult=y]) ); e:= e+size(b); x:= x+1); index row:= 1..size(output)/size(iresult); for y:= iresult do (slice(output[iresult=y],row)) 520,64,1 48,16 2,31,17,528,646 2,624,21,529,601,0,MIDM [Iresult,Sys_localindex('ROW')] [0,0,0,0] [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24] [Sys_localindex('RUNN'),1,Iresult,3,Sys_localindex('ENDSCEN'),1] dbwrite(odbc_write, appendtablesql(inp_ind,Indices_missing,Inp_ind.j,'`Index` ')); 'Done' 640,360,1 48,16 65535,45873,39321 [Sys_localindex('A'),Iind] [] Lonnie Thu, Sep 11, 1997 2:15 PM Lonnie Tue, Feb 05, 2008 10:03 AM 48,24 56,304,1 52,24 1,1,1,1,1,1,0,0,0,0 1,-151,272,499,497,17 Arial, 13 (A:ArrayType;I:IndexType;L:IndexType;row;dbTableName) Generates the SQL "INSERT INTO" statement for one line of table A. A is a 2-D table indexed by rows I and columns L. L's domain serves as the column names in the database table. dbTableName is the name of the table in the database. The result begins with two semi-colons, since it will be used with an SQL statement preceeding it. 29.8.2008 Jouni Tuomisto I added the parameter IGNORE because it ignores rows that would cause duplicate-key violations. This way, there is no need to check for e.g. existing locations of new indices. (';;INSERT IGNORE INTO ' & dbTableName & '(' & JoinText(L,L,',') & ') VALUES (' & Vallist(A[I=row],L)) & ')' 184,32,1 52,24 2,41,136,487,423 A,I,L,row,dbTableName (V:ArrayType;I:IndexType) Takes a list of values, and returns a string which the concatenation of each value, separated by commas, and with each value quoted. JoinText( '''' & V & '''', I, ',') 72,32,0 52,24 V,I 1,F,4,14,0,0 (Tabl:ArrayType;RowIndex:IndexType;LabelIndex:IndexType;dbTableName) Returns the SQL that will write the table to the database table. This can be used as the second argument to DBWrite. This SQL statement replaces the entire contents of an existing table with the new data. 'DELETE FROM '& Dbtablename & JoinText(Insertrecsql(Tabl, Rowindex, Labelindex, Rowindex, Dbtablename),RowIndex) 328,32,1 88,24 2,728,341,510,476 Tabl,RowIndex,LabelIndex,dbTableName (Tabl:ArrayType;RowIndex:IndexType;LabelIndex:IndexType;dbTableName) Returns the SQL that will write the table to the database table. This can be used as the second argument to DBWrite. This SQL statement replaces the entire contents of an existing table with the new data. JoinText(Insertrecsql(Tabl, Rowindex, Labelindex, Rowindex, Dbtablename),RowIndex) 328,88,1 88,24 2,52,65,510,476 Tabl,RowIndex,LabelIndex,dbTableName var a:= if Dimensions[.j='Dim_name']=Input_ind[iind='Dim_name'] then Dimensions[.j='Dim_id'] else 0; a:= sum(a,dimensions.i); index j:= ['Ind_id','Ind_name','Dim_id']; array(j,[ Card_ind+@Indices_missing, indices_missing, a]) ['item 1'] 520,360,1 48,16 2,197,430,416,303,0,MIDM 19661,48336,65535 [Iind,Self] [Indices_missing,Sys_localindex('J')] ['item 1'] [Indices_missing,1,Sys_localindex('CO'),1,Sys_localindex('I'),1] ['Ind_title','Dim_name'] 56,384,1 48,13 ['Ind_title','Dim_name'] Table(Idim)( '''Finnish municipalities''','''-''' ) ['item 1'] 168,320,1 48,16 2,209,427,767,303,0,MIDM 2,330,482,558,303,0,MIDM [Formnode Inp_dim1] 52425,39321,65535 [Idim,Dimensions_missing] [Dimensions_missing,Idim] ['item 1'] ['Dim_title','Dim_unit'] 168,344,1 48,13 ['Dim_title','Dim_unit'] var a:= if New_locs[.j='Ind_name'] = Indices[.j='Ind_name'] then Indices[.j='Ind_id'] else 0; a:= sum(a,Indices.i); var b:= if New_locs[.j='Location'] = Locations[.j='Location'] and New_locs[.j='Dim_name'] = Locations[.j='Dim_name'] then Locations[.j='Loc_id']; b:= sum(b,Locations.i); index j:= ['Ind_id','Row_number','Loc_id']; a:= array(j,[a,New_locs[.j='Row_number'],b]); ['item 1'] 520,440,1 48,16 2,617,386,598,224 2,250,441,416,303,0,MIDM 2,41,53,404,209,0,MIDM 19661,48336,65535 [Irow,Self] [New_locs,Sys_localindex('J')] ['item 1'] var b:= if New_locs[.j='Dim_name'] = Locations[.j='Dim_name'] then Locations[.j='Dim_id']; b:= sum(b,Locations.i); index j:= ['Loc_id','Dim_id','Location']; array(j,[card_loc+@New_locs.New_locs, b, New_locs[.j='Location']]) ['item 1','item 2','item 3','item 4','item 5','item 6','item 7','item 8','item 9','item 10','item 11','item 12','item 13','item 14','item 15','item 16','item 17','item 18','item 19','item 20','item 21'] 520,400,1 48,16 2,319,169,421,433,0,MIDM 2,17,366,405,302,0,MIDM 19661,48336,65535 [Iloc,Self] [Sys_localindex('J'),New_locs] ['item 1','item 2','item 3','item 4','item 5','item 6','item 7','item 8','item 9','item 10','item 11','item 12','item 13','item 14','item 15','item 16','item 17','item 18','item 19','item 20','item 21'] [Sys_localindex('J'),3,Sys_localindex('K'),1] {Reset; index a:= DBquery(odbc,'SELECT Ind_id FROM `Index` '); index b:= ['Ind_id']; max(max(DBTable(a, b ),a),b)} 13 376,360,1 48,16 39325,65535,39321 {Reset; index a:= DBquery(odbc,'SELECT Dim_id FROM `Dimension` '); index b:= ['Dim_id']; max(max(DBTable(a, b ),a),b)} 15 376,320,1 48,16 39325,65535,39321 {Reset; index a:= DBquery('DSN=resultdatabase','SELECT Loc_id FROM `Location` '); index b:= ['Loc_id']; max(max(DBTable(a, b ),a),b)} 179 376,400,1 48,16 39325,65535,39321 dbwrite(odbc_write, appendtablesql(Inp_dim,Dimensions_missing,Inp_dim.j,'Dimension ')); 'Done' 640,320,1 48,16 2,312,322,698,303,0,MIDM 65535,45873,39321 [] {Reset; index a:= DBquery(odbc,'SELECT Result_id FROM `Result` '); index b:= ['Result_id']; max(max(DBTable(a, b ),a),b);} 180 376,136,1 48,16 39325,65535,39321 getfract forces the effect of sample() away, while mid doesn't 1) Does the process for each variable one at a time. Only the deterministic information about variables are considered (therefore getfract). 2) Flattens the array. The value is discarded and only the location info is kept. 3) Gets the Dimension (Dim_id) for each index of h. 4) Gets the Location (Loc_id) for each cell in a, given the dimension and location. 5) Flattens the array a. 6) Concatenates the results of all variables. 7) Makes Row the index of the implicit index. var output=0; var e:= card_res; var x:= 1; while x<= size(var_for_rdb)/size(vari) do ( var c:= slice(Var_for_rdb,var_for_rdb,x); var a:= getfract(mid(evaluate(c[vari='Var_name'])),0.5); index h:= indexnames(a); index l:= concat(h,['Value']); index roww:= 1..size(a)*size(h); index endscen:= 1+e..size(a)+e; e:= e+size(a); a:= mdarraytotable(a,endscen,l); a:= a[l=h]; var dim:= if h=indices[.j='Ind_name'] then indices[.j='Dim_id'] else 0; dim:= sum(dim,indices.i); a:= if a=Locations[.j='Location'] and dim=Locations[.j='Dim_id'] then Locations[.j='Loc_id'] else 0; a:= sum(a,Locations.i); a:= array(Ilocres,[endscen,a]); a:= concatrows(a,a.h,endscen,roww); output:= if x= 1 then a else for y:= ilocres do ( concat(output[ilocres=y],a[ilocres=y]) ); x:= x+1); index row:= 1..size(output)/size(ilocres); for y:= ilocres do (slice(output[ilocres=y],row)) 520,136,1 48,16 2,616,21,518,635 2,40,27,546,367,0,MIDM [Sys_localindex('ROW'),Ilocres] [Sys_localindex('I'),3,Sys_localindex('H'),1,Sys_localindex('ENDSCEN'),1] dbwrite(odbc_write, appendtablesql(inp_loc_of_result,inp_loc_of_result.row,Ilocres,'Loc_of_result ')); 'Done' 640,136,1 48,16 65535,45873,39321 [] ['Result_id','Var_id','Result','Sample'] 520,96,1 48,13 [] ['Result_id','Var_id','Result','Sample'] ['Result_id','Loc_id'] 520,168,1 48,13 var output:= 0; var e:= card_res; var x:= 1; while x<= size(var_for_rdb)/size(vari) do ( var c:= slice(Var_for_rdb,var_for_rdb,x); var b:= getfract(mid(evaluate(c[vari='Name'])),0.5); index endscen:= 1+e..size(b)+e; var a:= array(irunlist,[endscen,card_run+1]); output:= if x= 1 then a else for y:= irunlist do ( concat(output[irunlist=y],a[irunlist=y]) ); e:= e+size(b); x:= x+1); index row:= 1..size(output)/size(irunlist); for y:= irunlist do (slice(output[irunlist=y],row)) 520,208,1 48,16 2,102,90,476,578 2,773,40,372,741,0,MIDM [Irunlist,Sys_localindex('ROW')] {Reset; index a:= DBquery(odbc,'SELECT Run_id FROM `Run` '); index b:= ['Run_id']; max(max(DBTable(a, b ),a),b);} 5 376,208,1 48,16 1,1,1,1,1,1,0,0,0,0 39325,65535,39321 ['Result_id','Run_id'] 520,240,1 48,13 1,1,1,1,1,1,0,0,0,0 Table(Irun)( '26.8.2008','Jouni','Analytica 4.1.0.9, Finmerac_Harjavalta_model, 10000 iterations') 280,280,1 48,16 2,364,311,629,303,0,MIDM 2,415,466,457,303,0,MIDM [Formnode Inp_run1] 52425,39321,65535 [Irun,Self] [Self,Irun] 2,D,4,2,0,0,4,0,$,0,"yyyy-mm-dd",0 ['item 1'] ['Run_date','Run_who','Run_method'] 280,304,1 48,13 ['Run_date','Run_who','Run_method'] Table(Ivar,Variables_missing)( 0,'Weight of a dinosaur', 0,'kg' ) 224,24,1 48,16 2,239,183,675,453 2,196,346,794,301,0,MIDM 2,152,434,886,303,0,MIDM [Formnode Inp_var1] 52425,39321,65535 [Ivar,Variables_missing] [Ivar,Variables_missing] 2,D,4,2,0,0,4,0,$,0,"yyyy-mm-dd",0 ['item 1','item 2'] ['Var_title','Var_unit'] 224,48,1 48,12 ['Var_title','Var_unit'] dbwrite(odbc_write, appendtablesql(var1,Variables_missing,var1.co,'Variable ')); 'Done' 640,24,1 48,16 65535,45873,39321 [] dbwrite(odbc_write, appendtablesql(Inp_run,Inp_run.i,Inp_run.j,'Run ')); 'Done' 640,280,1 48,16 65535,45873,39321 [] dbwrite(odbc_write, appendtablesql(inp_run_list,inp_run_list.row,Irunlist,'Run_list ')); 'Done' 640,208,1 48,16 65535,45873,39321 [] dbwrite(odbc_write, appendtablesql(inp_result,inp_result.row,Iresult,'Result ')); 'Done' 640,64,1 48,16 65535,45873,39321 [] dbwrite(odbc_write, appendtablesql(inp_loc,New_locs,inp_loc.j,'Location ')); 'Done' 640,400,1 48,16 65535,45873,39321 [] dbwrite(odbc_write, appendtablesql(inp_row,New_locs,inp_row.j,'Rows ')); 'Done' 640,440,1 48,16 65535,45873,39321 [] ['Var_name','Probabilistic?'] 224,160,1 48,12 ['Var_name','Probabilistic?'] 65 56,40,1 48,12 1,1,0,1,1,1,0,0,0,0 This is based on an assumption that the index Ind_var is always the outermost index and therefore last. Then it is sliced away. var a:= indices_used; var b:= evaluate(a[@.i=1]); var c:= if b=0 then a[@.i=1] else a[@.i=1]; var e:= 1..size(b); var x:= 2; while x<=size(a.i) do ( var d:= evaluate(a[@.i=x]); b:= concat(b,d); c:= concat(c,(if d=0 then a[@.i=x] else a[@.i=x])); e:= concat(e,1..size(d)); x:= x+1); index k:= 1..size(b); b:= slice(b,k); c:= slice(c,k); e:= slice(e,k); var d:= Input_ind[iind='Dim_name',indices_missing=c]; d:= if d=null then 0 else d; index j:= ['Dim_name','Location','Ind_name','Row_number']; a:= array(j,[d,b,c,e]); a[k=subset(a[.j='Dim_name'])] 376,456,1 48,24 2,59,53,476,603 2,10,57,487,303,0,MIDM [Sys_localindex('J'),Self] [Index New_locations] ['Age1','Municipality_fin1','Inp_var'] [Inp_ind,1,Indices_missing,1,Self,1] 'Driver={MySQL ODBC 5.1 Driver};Server=10.66.10.102;Database=resultdb;User=result_reader; Password=ora4ever;Option=3' 56,16,1 48,12 1,1,0,1,1,1,0,,0, 2,102,90,476,224 {Reset; index a:= DBquery(odbc,'SELECT Dim_id, Dim_name FROM `Dimension` '); index b:= ['Dim_id','Dim_name']; DBTable(a, b )} index j:= ['Dim_id','Dim_name']; var a:= array(j,[12,'Municipality_fin']); index i:=1..1; array(i,[a]) 56,136,1 48,12 1,1,0,1,1,1,0,0,0,0 2,120,130,316,489,0,MIDM 39325,65535,39321 [Sys_localindex('I'),Sys_localindex('J')] This node checks the variables listed in Var_for_rdb and makes an index of those that are NOT found in the result database. This is then used as an index in Inp_var for adding variable information. var a:= Variables[.j='Dim_name']; var e:= Var_for_rdb[vari='Var_name']; a:= ','&jointext(a,a.i,','); a:= if findintext(','&e&',',a)>0 then 0 else 1; e[var_for_rdb=subset(a)] 224,80,1 48,22 1,1,1,1,1,1,0,0,0,0 2,254,142,493,501 2,529,143,702,489,0,MIDM 39321,39325,65535 [Self,Vari] ['Bw1','H1991'] jtue 29. elota 2008 11:11 48,24 904,296,1 48,24 1,0,1,1,1,1,0,,0, 1,1,7,550,300,17 DBTable(Dbindex, Dbindexlabel ) 96,39,1 48,15 2,54,74,1024,686,0,MIDM 39325,65535,39321 [Dbindexlabel,Dbindex] ['Loc_id','Result_id','Dim_id','Location'] DBlabels(Dbindex) 104,95,1 56,12 2,102,90,476,353 ['Var_id','Var_name','Var_scope','Var_unit','Validity_date','Run_id','Run_time'] Reset; DBquery('DSN=resultdatabase','SELECT Rows.Ind_id, Ind_name, row_number, Location.Loc_id, Location FROM `Location`, `Rows`, `Index` WHERE Location.Loc_id = Rows.Loc_id and `Index`.Ind_id = Rows.Ind_id') 96,71,1 48,13 2,102,90,476,410 2,280,290,416,303,0,MIDM [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26] Reset; DBquery('DSN=resultdatabase','SELECT var_name, Restat.*, var_unit, Indices.*, Run.* FROM Variable, Run_list, Run, Loc_of_result, (SELECT var_id, result_id, avg(result) as result, min(result) as minimum, max(result) as maximum, count(sample) as n FROM Result GROUP BY result_id) as Restat, (SELECT Dimension.Dim_id, Dimension.Dim_name, Rows.Ind_id, Ind_name, row_number, Location.Loc_id, Location FROM `Dimension`, `Location`, `Rows`, `Index` WHERE Dimension.Dim_id = Location.Dim_id and Location.Loc_id = Rows.Loc_id and `Index`.Ind_id = Rows.Ind_id) as Indices WHERE Variable.var_id = Restat.var_id and Restat.result_id = Run_list.result_id and Run_list.run_id = Run.run_id and Restat.result_id = Loc_of_result.result_id and Loc_of_result.loc_id = Indices.loc_id ORDER BY run_id DESC, var_id, result_id') 100,72,1 48,13 2,280,290,416,303,0,MIDM [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26] DBTable(Dbresult, Dbreslabel) 100,40,1 48,16 2,17,34,1187,497,0,MIDM 39325,65535,39321 [Dbreslabel,Dbresult] ['Loc_id','Result_id','Dim_id','Location'] dblabels(Dbresult) 108,96,1 60,13 2,280,290,416,469,0,MIDM [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26] ['Ind_id','Row_number','Loc_id'] 96,37,1 48,13 ['Loc_id','Dim_id','Location'] 96,37,1 48,13 ['0','0.02','0.05','0.1','0.25','0.4','0.45','0.5','0.55','0.65','0.75','0.9','1'] 96,88,1 48,16 [Formnode Locs1] 52425,39321,65535 1..2 96,72,1 48,13 (1..3)*10 96,96,1 48,12 (1..4)*100 96,120,1 48,12 Year_1+Cause_of_death_1+Cause_of_death_2 96,40,1 48,16 2,328,338,416,303,0,MIDM [Cause_of_death_2,Cause_of_death_1] [In5,2,In6,1,In7,1] 15 96,40,1 48,16 1,1,1,1,1,1,0,0,0,0 [Formnode Dime1] 52425,39321,65535 {Reset; index a:= DBquery(odbc,'SELECT Var_id FROM `Variable` '); index b:= ['Var_id']; max(max(DBTable(a, b ),a),b);} 13 112,136,1 48,16 1,1,1,1,1,1,0,0,0,0 2,376,386,416,303,0,MIDM 39325,65535,39321 [] 'Comp_fr_1' ['item 1'] 432,184,1 48,16 2,457,448,416,303,0,MIDM [Formnode Ind_name1] 52425,39321,65535 [Iind,Self] [Self,Iind] ['item 1'] var output=0; var e:= card_res; var x:= 1; while x<= size(var_for_rdb)/size(vari) do ( var c:= slice(Var_for_rdb,var_for_rdb,x); var a:= getfract(mid(evaluate(c[vari='Name'])),0.5); index h:= indexnames(a); index l:= concat(h,['Value']); index roww:= 1..size(a)*size(h); index endscen:= 1+e..size(a)+e; e:= e+size(a); a:= mdarraytotable(a,endscen,l); a:= a[l=h]; var b:= if Dbindices[Dbindexlabel='Ind_name']=h then Dbindices[Dbindexlabel='row_number'] else ''; index d:= 1..max(max(b,Dbindex),h); b:= Positioninindex(b , d, Dbindex ); b:= Dbindices[Dbindex=b, Dbindexlabel='Loc_id']; var w:=1; while w<= size(h) do ( index m:= evaluate(slice(h,w)); var z:= 1; while z<=size(m) do ( var g:= slice(m,z); var f:= slice(slice(b,h,w),d,z); a:= if a=g then f else a; z:= z+1); w:= w+1); a:= array(Ilocres,[endscen,a]); a:= concatrows(a,a.h,endscen,roww); output:= if x= 1 then a else for y:= ilocres do ( concat(output[ilocres=y],a[ilocres=y]) ); x:= x+1); index row:= 1..size(output)/size(ilocres); for y:= ilocres do (slice(output[ilocres=y],row)) 208,168,1 48,24 2,145,21,476,786 2,145,365,416,303,0,MIDM [Sys_localindex('ROW'),Ilocres] subtable(Input_var[ivar=['Var_name','Var_unit']]) 312,184,1 48,24 [Self,Input_var] ['Var_name','Var_unit'] Table(Self,Ivar)( 'Human body weight','kg', 0,0 ) ['item 1','item 2'] 392,144,1 48,16 2,239,183,675,453 2,37,340,794,301,0,MIDM 2,152,434,886,303,0,MIDM 52425,39321,65535 [Ivar,Self] [Ivar,Self] 2,D,4,2,0,0,4,0,$,0,"yyyy-mm-dd",0 array(ivar,[ evaluate(Variables_missing), evaluate(Variables_missing)]) 408,96,1 48,24 [Ivar,Variables_missing] [Variables_missing,Ivar] kg array(f,[2000]) 96,48,1 48,24 [2000] var a:= Input_ind[iind='Ind_title']; var b:= evaluate(Indices_missing); b 264,120,1 48,24 2,337,60,416,303,0,MIDM [Municipality_fin1,Indices_missing] Table(Self,Iind)( ind_name,dime ) ['item 1'] 248,48,1 48,16 2,197,430,416,303,0,MIDM 1,49155,65535 [Iind,Self] [Self,Iind] This node checks the indices listed in variables in Var_for_rdb and makes an index of those that are NOT found in the result database. This is then used as an index in Inp_var for adding variable information. Definition of e is based on the assumption that var_for_rdb is always the outermost index and therefore is always the last. var c:= if d=Ind_and_loc[.j=b] then 1 else 0; c:= sum(product(c,b),a); c:= if c=1 then Ind_and_loc else ''; 96,46,1 48,22 1,1,1,1,1,1,0,0,0,0 2,52,49,493,664 2,784,160,472,489,0,MIDM 39325,65535,39321 [Sys_localindex('J'),Sys_localindex('K')] [Variable New_locs] ['Municipality_fin1'] [Sys_localindex('B'),1,Sys_localindex('A'),1,Va5,1] This is based on an assumption that the index Ind_var is always the outermost index and therefore last. Then it is sliced away. var a:= indices_used; var b:= evaluate(a[@.i=1]); var c:= if b=0 then a[@.i=1] else a[@.i=1]; var e:= 1..size(b); var x:= 2; while x<=size(a.i) do ( var d:= evaluate(a[@.i=x]); b:= concat(b,d); c:= concat(c,(if d=0 then a[@.i=x] else a[@.i=x])); e:= concat(e,1..size(d)); x:= x+1); index k:= 1..size(b); b:= slice(b,k); c:= slice(c,k); e:= slice(e,k); var d:= Input_ind[iind='Dim_name',indices_missing=c]; index j:= ['Dim_name','Location','Ind_name','Row_number']; array(j,[d,b,c,e]) 96,48,1 48,24 2,59,53,476,603 2,10,57,487,303,0,MIDM [Sys_localindex('J'),Sys_localindex('K')] ['Age1','Municipality_fin1','Inp_var'] [Inp_ind,1,Indices_missing,1,Self,1] This node checks the indices listed in variables in Var_for_rdb and makes an index of those that are NOT found in the result database. This is then used as an index in Inp_var for adding variable information. Definition of e is based on the assumption that var_for_rdb is always the outermost index and therefore is always the last. {Reset; index a:= DBquery(odbc,'select Dim_name, Location from Location, Dimension where Location.dim_id = Dimension.dim_id ');} index b:= ['Dim_name','Location']; {var d:= DBTable(a, b );} index a:= 1..13; var d:= array(a,['Bw1', 'Comptraf_scenoutput', 'Fig_3_cost_by_source', 'Fig_5a_societal_cost', 'Fig_5b_subsidies', 'Municipality_fin', 'Age1', 'H2201', 'H2202', 'H2204', 'H2205', 'Ppmconc_bustraffic', 'Testvariable']); d:= array(b,[d,'Harjavalta']); var c:= if d=New_locs[.j=b] then 1 else 0; c:= sum(product(c,b),a); c:= if c=1 then New_locs else ''; 224,54,1 48,22 1,1,1,1,1,1,0,0,0,0 2,52,49,493,664 2,784,160,472,489,0,MIDM 39325,65535,39321 [Sys_localindex('J'),Sys_localindex('K')] ['Municipality_fin1'] [Sys_localindex('B'),1,Sys_localindex('A'),1,Va5,1] [1] 96,88,1 48,24 getfract forces the effect of sample() away, while mid doesn't var output=0; var e:= card_res; var x:= 1; while x<= size(var_for_rdb)/size(vari) do ( var c:= slice(Var_for_rdb,var_for_rdb,x); var a:= getfract(mid(evaluate(c[vari='Var_name'])),0.5); index h:= indexnames(a); index l:= concat(h,['Value']); index roww:= 1..size(a)*size(h); index endscen:= 1+e..size(a)+e; e:= e+size(a); a:= mdarraytotable(a,endscen,l); a:= a[l=h]; var b:= if Dbindices[Dbindexlabel='Ind_name']=h then Dbindices[Dbindexlabel='row_number'] else ''; index d:= 1..max(max(b,Dbindex),h); b:= Positioninindex(b , d, Dbindex ); b:= Dbindices[Dbindex=b, Dbindexlabel='Loc_id']; var w:=1; while w<= size(h) do ( index m:= evaluate(slice(h,w)); var z:= 1; while z<=size(m) do ( var g:= slice(m,z); var f:= slice(slice(b,h,w),d,z); a:= if a=g then f else a; z:= z+1); w:= w+1); a:= array(Ilocres,[endscen,a]); a:= concatrows(a,a.h,endscen,roww); output:= if x= 1 then a else for y:= ilocres do ( concat(output[ilocres=y],a[ilocres=y]) ); x:= x+1); index row:= 1..size(output)/size(ilocres); for y:= ilocres do (slice(output[ilocres=y],row)) 104,40,1 48,16 2,589,15,518,784 2,40,27,546,367,0,MIDM [Ilocres,Sys_localindex('ROW')] This node checks the indices listed in variables in Var_for_rdb and makes an index of those that are NOT found in the result database. This is then used as an index in Inp_var for adding variable information. Definition of e is based on the assumption that var_for_rdb is always the outermost index and therefore is always the last. var a:= indices[.j='Ind_name']; var e:= indices_used; a:=','&jointext(a,a.i,','); a:= if findintext(','&e&',',a)>0 then 0 else 1; e[.i=subset(a)] 56,416,1 48,22 1,1,1,1,1,1,0,0,0,0 2,483,17,493,593 2,777,127,472,489,0,MIDM 39321,39325,65535 [Self,Vari] Table(Iind,Indices_missing)( 'Municipalities in Finland, v1', 'Municipality_fin' ) 56,360,1 48,16 2,27,178,416,303,0,MIDM 2,14,97,520,238,0,MIDM 52425,39321,65535 [Indices_missing,Iind] [Iind,Indices_missing] This lists all indices that are used by all of the variables that are to be inserted into the result database. This is based on an assumption that the index Ind_var is always the outermost index and therefore last. Then it is sliced away. var a:= var_for_rdb[vari='Var_name']; a:= indexnames(evaluate(a)); index i:= 1..size(a)-1; a:= slice(a,i); 224,456,1 48,24 2,101,213,476,566 2,36,50,416,303,0,MIDM [Sys_localindex('J'),Self] ['Age1','Municipality_fin1','Inp_var'] [Inp_ind,1,Indices_missing,1,Self,1] This node checks the indices listed in variables in Var_for_rdb and makes an index of those that are NOT found in the result database. This is then used as an index in Inp_var for adding variable information. Definition of e is based on the assumption that var_for_rdb is always the outermost index and therefore is always the last. var a:= dimensions[.j='Dim_name']; var e:= Input_ind[iind='Dim_name']; a:=','&jointext(a,a.i,','); a:= if findintext(','&e&',',a)>0 then 0 else 1; e[indices_missing=subset(a)] 168,376,1 48,22 1,1,1,1,1,1,0,0,0,0 2,763,42,493,593 2,777,127,472,489,0,MIDM 39321,39325,65535 [Self,Vari] var c:= Card_var; index co:= ['Var_id','Var_name','Var_title','Var_unit','Page_id','Wiki_id']; array(co,[ c+@Variables_missing, Variables_missing, Input_var[ivar='Var_title'], Input_var[ivar='Var_unit'], Selecttext( Input_var[ivar='Var_name'], 2), Selecttext( Input_var[ivar='Var_name'], 1,1)]) 520,24,1 48,16 1,1,1,1,1,1,0,0,0,0 2,376,386,416,303,0,MIDM 19661,48336,65535 [Variables_missing,Sys_localindex('CO')] {Reset; index i:= DBquery(odbc,'SELECT Ind_id, Ind_name, Dimension.Dim_id, Dim_name FROM `Index`, Dimension WHERE `Index`.Dim_id=Dimension.Dim_id '); index j:= ['Ind_id','Ind_name','Dim_id','Dim_name']; DBTable(i, j )} index j:= ['Ind_id','Ind_name','Dim_id','Dim_name']; var a:= array(j,[17,'Municipality_fin1',10,'Municipality_fin']); var b:= array(j,[18,'Age1',11,'Age']); index i:=1..2; array(i,[a,b]) 56,160,1 48,12 1,1,0,1,1,1,0,0,0,0 2,-73,97,476,296 2,120,130,316,489,0,MIDM 39325,65535,39321 [Sys_localindex('I'),Sys_localindex('J')] index j:= ['Dim_id','Dim_name','Dim_title','Dim_unit']; array(j,[ Card_dim+@Dimensions_missing, Dimensions_missing, Input_dim[Idim='Dim_title'], Input_dim[Idim='Dim_unit']]) 520,320,1 48,16 [Dimensions_missing,Sys_localindex('J')] 'Driver={MySQL ODBC 5.1 Driver};Server=10.66.10.102;Database=resultdb;User='&username&'; Password='&password&';Option=3' 56,112,1 48,12 1,1,0,1,1,1,0,,0, 'Enter username' 56,64,0 48,12 1,1,1,1,1,1,0,0,0,0 [Formnode Username1] 52425,39321,65535 'Enter password' 56,88,0 48,12 1,1,1,1,1,1,0,0,0,0 [Formnode Password1] 52425,39321,65535 index j:= ['Run_id','Run_date','Run_who','Run_method']; index i:= 1..1; var a:= Input_run[Irun=j]; a:= if j='Run_id' then Card_run+1 else a; array(i,[a]) 520,280,1 48,16 2,168,178,528,303,0,MIDM [Sys_localindex('I'),Sys_localindex('J')] {Reset; index i:= DBquery(odbc,'SELECT Loc_id, Location, Dimension.Dim_id, Dim_name FROM `Location`, `Dimension` WHERE Location.Dim_id = Dimension.Dim_id '); index j:= ['Loc_id', 'Location', 'Dim_id', 'Dim_name']; DBTable(a, b )} index j:= ['Loc_id', 'Location', 'Dim_id', 'Dim_name']; var a:= array(j,[179,'Harjavalta',10,'Municipality_fin']); var b:= array(j,[190,'3',11,'Age']); var c:= array(j,[191,'18-65',11,'Age']); index i:=1..3; array(i,[a,b,c]) 56,184,1 48,12 1,1,0,1,1,1,0,0,0,0 2,102,90,476,445 2,15,111,316,489,0,MIDM 39325,65535,39321 [Sys_localindex('I'),Sys_localindex('J')] {Reset; index a:= DBquery(odbc,'SELECT Var_id FROM `Variable` '); index b:= ['Var_id']; max(max(DBTable(a, b ),a),b)} 11 376,24,1 48,16 1,1,1,1,1,1,0,0,0,0 2,376,386,416,303,0,MIDM 39325,65535,39321 This node checks the variables listed in Var_for_rdb and makes an index of those that are NOT found in the result database. This is then used as an index in Inp_var for adding variable information. {Reset; index i:= DBquery(odbc,'SELECT Var_id, Var_name FROM `Variable` '); index j:= ['Var_id','Var_name']; var a:= DBTable(a, b );} index j:= ['Var_id','Var_name']; index i:= 1..13; var a:= array(i,['Bw1', 'Comptraf_scenoutput', 'H1991', 'Fig_5a_societal_cost', 'Fig_5b_subsidies', 'Fig_5c_expanding', 'H1901', 'H2201', 'H2202', 'H2204', 'H2205', 'Ppmconc_bustraffic', 'Testvariable']); array(j,[i+5,a]) 56,208,1 48,12 1,1,0,1,1,1,0,0,0,0 2,254,142,493,501 2,529,143,702,489,0,MIDM 39325,65535,39321 [Sys_localindex('J'),Sys_localindex('I')] ['H1991'] [Self,1,Sys_localindex('I'),1,Sys_localindex('J'),1] This module saves model results into the Result Database. You need a password for that. Note that the necessary variable, index, dimension, and run information will be asked. You must add all tables before the process is completed. 256,40,-1 256,40 Variables that must be up-to-date before running the write procedure: 656,112,-1 124,20 1,0,0,1,0,1,0,,0, 65535,65532,19661 Inp var 592,344,-1 56,16 1,0,0,1,0,1,0,,0, 65535,65532,19661 Var for rdb, Inp run 592,420,-1 56,20 1,0,0,1,0,1,0,,0, 65535,65532,19661 Inp dim 592,168,-1 56,16 1,0,0,1,0,1,0,,0, 65535,65532,19661 Dime, Ind_name, Locations 592,253,-1 56,29 1,0,0,1,0,1,0,,0, 65535,65532,19661 Note! You can insert several variables at the same time. Each variable MUST have at least one index. 664,40,-1 144,32 Insert a variable 344,336,-6 324,32 1,0,0,1,0,1,0,,0, Insert a dimension 340,160,-5 324,32 1,0,0,1,0,1,0,,0, Insert a variable result 340,424,-4 324,48 1,0,0,1,0,1,0,,0, Insert an index 340,248,-3 324,48 1,0,0,1,0,1,0,,0, 472,272,1 48,12 0 356,245,1 84,13 1,0,0,1,0,0,0,72,0,1 52425,39321,65535 Dime 472,416,1 48,12 464,168,1 56,12 472,344,1 48,13 0 144,245,1 128,13 1,0,0,1,0,0,0,72,0,1 52425,39321,65535 Ind_name 31.7.2008 Jouni Tuomisto Identified problems: * Inp_loc_of_result can calculate at least 800000 rows, but Write_locres is unable to write that data into the database. * Inp_run_list does not work with composite traffic model cost variables. I attempted to write the following variables (from Var_fo_rdb node): Fig_3_cost_by_source' 9 1 Fig_5a_societal_costs' 10 1 Fig_5b_subsidies' 11 0 Fig_5c_expanding' 12 1 but this resulted in an error message from Cap_variab_2: "first parameter in sortindex must be a table". This error does not occur when the node is calculated, only when I attempt to write it into the database. See an email to Dale Rice 31.7.2008. 0 736,168,1 48,24 2,83,23,511,358 0 160,84,1 152,12 1,0,0,1,0,0,0,118,0,1 52425,39321,65535 Username 0 160,108,1 152,12 1,0,0,1,0,0,0,118,0,1 52425,39321,65535 Password