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R version 2.10.0 Under development (unstable) (2009-07-16 r48939)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> ##-*- R -*-
> library(RODBC)
> library(MASS)
> USArrests[1,2] <- NA
> hills <- hills[1:15,]
> row.names(hills)[12] <- "Dollar ('$')"
> set.seed(1)
>
> channel <- odbcConnect("test")
> if(!inherits(channel, "RODBC")) q("no")
> sqlTables(channel)
[1] TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS
<0 rows> (or 0-length row.names)
> sqlDrop(channel, "USArrests", errors = FALSE)
> sqlSave(channel, USArrests, rownames = "State", addPK = TRUE)
> sqlTables(channel)
TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS
1 ripley USArrests TABLE
> sqlColumns(channel, "USArrests")
TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE
1 ripley <NA> USArrests State 12 varchar 255
2 ripley <NA> USArrests Murder 8 double 15
3 ripley <NA> USArrests Assault 4 integer 10
4 ripley <NA> USArrests UrbanPop 4 integer 10
5 ripley <NA> USArrests Rape 8 double 15
BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS COLUMN_DEF
1 255 NA NA 0 ''
2 8 NA NA 1 <NA>
3 4 0 10 1 <NA>
4 4 0 10 1 <NA>
5 8 NA NA 1 <NA>
SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION IS_NULLABLE
1 12 NA 255 1 NO
2 8 NA NA 2 YES
3 4 NA NA 3 YES
4 4 NA NA 4 YES
5 8 NA NA 5 YES
> sqlColumns(channel, "USArrests", special = TRUE)
SCOPE COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE BUFFER_LENGTH
1 2 State 12 varchar 255 255
DECIMAL_DIGITS PSEUDO_COLUMN
1 NA 1
> sqlPrimaryKeys(channel, "USArrests")
TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME KEY_SEQ PK_NAME
1 <NA> <NA> USArrests State 1 PRIMARY
> sqlFetch(channel, "USArrests", rownames = "State")
Murder Assault UrbanPop Rape
Alabama 13.2 NA 58 21.2
Alaska 10.0 263 48 44.5
Arizona 8.1 294 80 31.0
Arkansas 8.8 190 50 19.5
California 9.0 276 91 40.6
Colorado 7.9 204 78 38.7
Connecticut 3.3 110 77 11.1
Delaware 5.9 238 72 15.8
Florida 15.4 335 80 31.9
Georgia 17.4 211 60 25.8
Hawaii 5.3 46 83 20.2
Idaho 2.6 120 54 14.2
Illinois 10.4 249 83 24.0
Indiana 7.2 113 65 21.0
Iowa 2.2 56 57 11.3
Kansas 6.0 115 66 18.0
Kentucky 9.7 109 52 16.3
Louisiana 15.4 249 66 22.2
Maine 2.1 83 51 7.8
Maryland 11.3 300 67 27.8
Massachusetts 4.4 149 85 16.3
Michigan 12.1 255 74 35.1
Minnesota 2.7 72 66 14.9
Mississippi 16.1 259 44 17.1
Missouri 9.0 178 70 28.2
Montana 6.0 109 53 16.4
Nebraska 4.3 102 62 16.5
Nevada 12.2 252 81 46.0
New Hampshire 2.1 57 56 9.5
New Jersey 7.4 159 89 18.8
New Mexico 11.4 285 70 32.1
New York 11.1 254 86 26.1
North Carolina 13.0 337 45 16.1
North Dakota 0.8 45 44 7.3
Ohio 7.3 120 75 21.4
Oklahoma 6.6 151 68 20.0
Oregon 4.9 159 67 29.3
Pennsylvania 6.3 106 72 14.9
Rhode Island 3.4 174 87 8.3
South Carolina 14.4 279 48 22.5
South Dakota 3.8 86 45 12.8
Tennessee 13.2 188 59 26.9
Texas 12.7 201 80 25.5
Utah 3.2 120 80 22.9
Vermont 2.2 48 32 11.2
Virginia 8.5 156 63 20.7
Washington 4.0 145 73 26.2
West Virginia 5.7 81 39 9.3
Wisconsin 2.6 53 66 10.8
Wyoming 6.8 161 60 15.6
> sqlQuery(channel, "select State, Murder from USArrests where Rape > 30 order by Murder")
State Murder
1 Colorado 7.9
2 Arizona 8.1
3 California 9.0
4 Alaska 10.0
5 New Mexico 11.4
6 Michigan 12.1
7 Nevada 12.2
8 Florida 15.4
> foo <- cbind(State=row.names(USArrests), USArrests)[1:3, c(1,3)]
> foo[1,2] <- 236
> sqlUpdate(channel, foo, "USArrests")
> sqlFetch(channel, "USArrests", rownames = "State", max = 5)
Murder Assault UrbanPop Rape
Alabama 13.2 236 58 21.2
Alaska 10.0 263 48 44.5
Arizona 8.1 294 80 31.0
Arkansas 8.8 190 50 19.5
California 9.0 276 91 40.6
> sqlFetchMore(channel, rownames = "State", max = 8)
Murder Assault UrbanPop Rape
Colorado 7.9 204 78 38.7
Connecticut 3.3 110 77 11.1
Delaware 5.9 238 72 15.8
Florida 15.4 335 80 31.9
Georgia 17.4 211 60 25.8
Hawaii 5.3 46 83 20.2
Idaho 2.6 120 54 14.2
Illinois 10.4 249 83 24.0
> sqlDrop(channel, "USArrests")
>
> Btest <- Atest <-
+ data.frame(x = c(paste(1:100, collapse="+"), letters[2:4]), rn=1:4)
> Btest[,1] <- Atest[c(4,1:3),1]
> sqlDrop(channel, "Atest", errors = FALSE)
> colspec <- list(character="text", double="double",
+ integer="integer", logical="varchar(5)")
> sqlSave(channel, Atest, typeInfo = colspec)
> sqlColumns(channel, "Atest")
TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE
1 ripley <NA> Atest rownames -1 text 65535
2 ripley <NA> Atest x -1 text 65535
3 ripley <NA> Atest rn 4 integer 10
BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS COLUMN_DEF
1 65535 NA NA 1 <NA>
2 65535 NA NA 1 <NA>
3 4 0 10 1 <NA>
SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION IS_NULLABLE
1 -1 NA 65535 1 YES
2 -1 NA 65535 2 YES
3 4 NA NA 3 YES
> sqlFetch(channel, "Atest")
x
1 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+27+28+29+30+31+32+33+34+35+36+37+38+39+40+41+42+43+44+45+46+47+48+49+50+51+52+53+54+55+56+57+58+59+60+61+62+63+64+65+66+67+68+69+70+71+72+73+74+75+76+77+78+79+80+81+82+83+84+85+86+87+88+89+90+91+92+93+94+95+96+97+98+99+100
2 b
3 c
4 d
rn
1 1
2 2
3 3
4 4
> sqlUpdate(channel, Btest, "Atest", index = "rn")
> sqlFetch(channel, "Atest")
x
1 d
2 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+27+28+29+30+31+32+33+34+35+36+37+38+39+40+41+42+43+44+45+46+47+48+49+50+51+52+53+54+55+56+57+58+59+60+61+62+63+64+65+66+67+68+69+70+71+72+73+74+75+76+77+78+79+80+81+82+83+84+85+86+87+88+89+90+91+92+93+94+95+96+97+98+99+100
3 b
4 c
rn
1 1
2 2
3 3
4 4
> sqlDrop(channel, "Atest")
> varspec <- "text"; names(varspec) <- "x"
> sqlSave(channel, Atest, varTypes = varspec)
> sqlColumns(channel, "Atest")
TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE
1 ripley <NA> Atest rownames 12 varchar 255
2 ripley <NA> Atest x -1 text 65535
3 ripley <NA> Atest rn 4 integer 10
BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS COLUMN_DEF
1 255 NA NA 1 <NA>
2 65535 NA NA 1 <NA>
3 4 0 10 1 <NA>
SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION IS_NULLABLE
1 12 NA 255 1 YES
2 -1 NA 65535 2 YES
3 4 NA NA 3 YES
> sqlFetch(channel, "Atest")
x
1 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+27+28+29+30+31+32+33+34+35+36+37+38+39+40+41+42+43+44+45+46+47+48+49+50+51+52+53+54+55+56+57+58+59+60+61+62+63+64+65+66+67+68+69+70+71+72+73+74+75+76+77+78+79+80+81+82+83+84+85+86+87+88+89+90+91+92+93+94+95+96+97+98+99+100
2 b
3 c
4 d
rn
1 1
2 2
3 3
4 4
> sqlDrop(channel, "Atest")
>
> dates <- as.character(seq(as.Date("2004-01-01"), by="week", length=10))
> times <- paste(1:10, "05", "00", sep=":")
> dt <- as.POSIXct(paste(dates, times))
> Dtest <- data.frame(dates, times, dt, logi=c(TRUE, NA, FALSE, FALSE, FALSE))
> varspec <- c("date", "time", "timestamp", "varchar(5)")
> names(varspec) <- names(Dtest)
> sqlDrop(channel, "Dtest", errors = FALSE)
> sqlSave(channel, Dtest, varTypes = varspec)
> sqlColumns(channel, "Dtest")
TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE
1 ripley <NA> Dtest rownames 12 varchar 255
2 ripley <NA> Dtest dates 91 date 10
3 ripley <NA> Dtest times 92 time 8
4 ripley <NA> Dtest dt 93 timestamp 19
5 ripley <NA> Dtest logi 12 varchar 5
BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS COLUMN_DEF
1 255 NA NA 1 <NA>
2 6 NA NA 1 <NA>
3 6 0 10 1 <NA>
4 16 0 10 1 <NA>
5 5 NA NA 1 <NA>
SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION IS_NULLABLE
1 12 NA 255 1 YES
2 9 91 NA 2 YES
3 9 92 NA 3 YES
4 9 93 NA 4 YES
5 12 NA 5 5 YES
> sqlFetch(channel, "Dtest")
dates times dt logi
1 2004-01-01 01:05:00 2004-01-01 01:05:00 TRUE
2 2004-01-08 02:05:00 2004-01-08 02:05:00 NA
3 2004-01-15 03:05:00 2004-01-15 03:05:00 FALSE
4 2004-01-22 04:05:00 2004-01-22 04:05:00 FALSE
5 2004-01-29 05:05:00 2004-01-29 05:05:00 FALSE
6 2004-02-05 06:05:00 2004-02-05 06:05:00 TRUE
7 2004-02-12 07:05:00 2004-02-12 07:05:00 NA
8 2004-02-19 08:05:00 2004-02-19 08:05:00 FALSE
9 2004-02-26 09:05:00 2004-02-26 09:05:00 FALSE
10 2004-03-04 10:05:00 2004-03-04 10:05:00 FALSE
> sqlDrop(channel, "Dtest", errors = FALSE)
> sqlSave(channel, Dtest, varTypes = varspec, fast = FALSE)
> sqlColumns(channel, "Dtest")
TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE
1 ripley <NA> Dtest rownames 12 varchar 255
2 ripley <NA> Dtest dates 91 date 10
3 ripley <NA> Dtest times 92 time 8
4 ripley <NA> Dtest dt 93 timestamp 19
5 ripley <NA> Dtest logi 12 varchar 5
BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS COLUMN_DEF
1 255 NA NA 1 <NA>
2 6 NA NA 1 <NA>
3 6 0 10 1 <NA>
4 16 0 10 1 <NA>
5 5 NA NA 1 <NA>
SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION IS_NULLABLE
1 12 NA 255 1 YES
2 9 91 NA 2 YES
3 9 92 NA 3 YES
4 9 93 NA 4 YES
5 12 NA 5 5 YES
> sqlFetch(channel, "Dtest")
dates times dt logi
1 2004-01-01 01:05:00 2004-01-01 01:05:00 TRUE
2 2004-01-08 02:05:00 2004-01-08 02:05:00 NA
3 2004-01-15 03:05:00 2004-01-15 03:05:00 FALSE
4 2004-01-22 04:05:00 2004-01-22 04:05:00 FALSE
5 2004-01-29 05:05:00 2004-01-29 05:05:00 FALSE
6 2004-02-05 06:05:00 2004-02-05 06:05:00 TRUE
7 2004-02-12 07:05:00 2004-02-12 07:05:00 NA
8 2004-02-19 08:05:00 2004-02-19 08:05:00 FALSE
9 2004-02-26 09:05:00 2004-02-26 09:05:00 FALSE
10 2004-03-04 10:05:00 2004-03-04 10:05:00 FALSE
> sqlDrop(channel, "Dtest")
>
> sqlDrop(channel, "hills test", errors = FALSE)
> sqlSave(channel, hills, "hills test", verbose=TRUE)
Query: CREATE TABLE `hills test` (`rownames` varchar(255), `dist` double, `climb` integer, `time` double)
Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( ?,?,?,? )
Binding: 'rownames' DataType 12, ColSize 255
Binding: 'dist' DataType 8, ColSize 15
Binding: 'climb' DataType 4, ColSize 10
Binding: 'time' DataType 8, ColSize 15
Parameters:
no: 1: rownames Greenmantle/***/no: 2: dist 2.5/***/no: 3: climb 650/***/no: 4: time 16.083/***/
no: 1: rownames Carnethy/***/no: 2: dist 6/***/no: 3: climb 2500/***/no: 4: time 48.35/***/
no: 1: rownames Craig Dunain/***/no: 2: dist 6/***/no: 3: climb 900/***/no: 4: time 33.65/***/
no: 1: rownames Ben Rha/***/no: 2: dist 7.5/***/no: 3: climb 800/***/no: 4: time 45.6/***/
no: 1: rownames Ben Lomond/***/no: 2: dist 8/***/no: 3: climb 3070/***/no: 4: time 62.267/***/
no: 1: rownames Goatfell/***/no: 2: dist 8/***/no: 3: climb 2866/***/no: 4: time 73.217/***/
no: 1: rownames Bens of Jura/***/no: 2: dist 16/***/no: 3: climb 7500/***/no: 4: time 204.617/***/
no: 1: rownames Cairnpapple/***/no: 2: dist 6/***/no: 3: climb 800/***/no: 4: time 36.367/***/
no: 1: rownames Scolty/***/no: 2: dist 5/***/no: 3: climb 800/***/no: 4: time 29.75/***/
no: 1: rownames Traprain/***/no: 2: dist 6/***/no: 3: climb 650/***/no: 4: time 39.75/***/
no: 1: rownames Lairig Ghru/***/no: 2: dist 28/***/no: 3: climb 2100/***/no: 4: time 192.667/***/
no: 1: rownames Dollar ('$')/***/no: 2: dist 5/***/no: 3: climb 2000/***/no: 4: time 43.05/***/
no: 1: rownames Lomonds/***/no: 2: dist 9.5/***/no: 3: climb 2200/***/no: 4: time 65/***/
no: 1: rownames Cairn Table/***/no: 2: dist 6/***/no: 3: climb 500/***/no: 4: time 44.133/***/
no: 1: rownames Eildon Two/***/no: 2: dist 4.5/***/no: 3: climb 1500/***/no: 4: time 26.933/***/
> sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=TRUE)
Query: UPDATE `hills test` SET `dist`=?, `climb`=?, `time`=? WHERE `rownames`=?
Binding: 'dist' DataType 8, ColSize 15
Binding: 'climb' DataType 4, ColSize 10
Binding: 'time' DataType 8, ColSize 15
Binding: 'rownames' DataType 12, ColSize 255
Parameters:
no: 1: dist 28/***/no: 2: climb 2100/***/no: 3: time 192.667/***/no: 4: rownames Lairig Ghru/***/
no: 1: dist 5/***/no: 2: climb 2000/***/no: 3: time 43.05/***/no: 4: rownames Dollar ('$')/***/
no: 1: dist 9.5/***/no: 2: climb 2200/***/no: 3: time 65/***/no: 4: rownames Lomonds/***/
no: 1: dist 6/***/no: 2: climb 500/***/no: 3: time 44.133/***/no: 4: rownames Cairn Table/***/
no: 1: dist 4.5/***/no: 2: climb 1500/***/no: 3: time 26.933/***/no: 4: rownames Eildon Two/***/
> sqlFetch(channel, "hills test")
dist climb time
Greenmantle 2.5 650 16.083
Carnethy 6.0 2500 48.350
Craig Dunain 6.0 900 33.650
Ben Rha 7.5 800 45.600
Ben Lomond 8.0 3070 62.267
Goatfell 8.0 2866 73.217
Bens of Jura 16.0 7500 204.617
Cairnpapple 6.0 800 36.367
Scolty 5.0 800 29.750
Traprain 6.0 650 39.750
Lairig Ghru 28.0 2100 192.667
Dollar ('$') 5.0 2000 43.050
Lomonds 9.5 2200 65.000
Cairn Table 6.0 500 44.133
Eildon Two 4.5 1500 26.933
> sqlDrop(channel, "hills test")
> sqlSave(channel, hills, "hills test", verbose=TRUE, fast=FALSE)
Query: CREATE TABLE `hills test` (`rownames` varchar(255), `dist` double, `climb` integer, `time` double)
Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Greenmantle', 2.5, 650, 16.083 )
Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Carnethy', 6.0, 2500, 48.350 )
Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Craig Dunain', 6.0, 900, 33.650 )
Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Ben Rha', 7.5, 800, 45.600 )
Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Ben Lomond', 8.0, 3070, 62.267 )
Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Goatfell', 8.0, 2866, 73.217 )
Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Bens of Jura', 16.0, 7500, 204.617 )
Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Cairnpapple', 6.0, 800, 36.367 )
Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Scolty', 5.0, 800, 29.750 )
Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Traprain', 6.0, 650, 39.750 )
Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Lairig Ghru', 28.0, 2100, 192.667 )
Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Dollar (''$'')', 5.0, 2000, 43.050 )
Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Lomonds', 9.5, 2200, 65.000 )
Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Cairn Table', 6.0, 500, 44.133 )
Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Eildon Two', 4.5, 1500, 26.933 )
> sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=FALSE)
Query: UPDATE `hills test` SET `dist`=28.0, `climb`=2100, `time`=192.667 WHERE `rownames`='Lairig Ghru'
Query: UPDATE `hills test` SET `dist`= 5.0, `climb`=2000, `time`= 43.050 WHERE `rownames`='Dollar (''$'')'
Query: UPDATE `hills test` SET `dist`= 9.5, `climb`=2200, `time`= 65.000 WHERE `rownames`='Lomonds'
Query: UPDATE `hills test` SET `dist`= 6.0, `climb`= 500, `time`= 44.133 WHERE `rownames`='Cairn Table'
Query: UPDATE `hills test` SET `dist`= 4.5, `climb`=1500, `time`= 26.933 WHERE `rownames`='Eildon Two'
> sqlDrop(channel, "hills test")
>
> sqlTables(channel, catalog="%")
TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS
1 information_schema <NA> <NA> <NA> <NA>
2 mysql <NA> <NA> <NA> <NA>
3 ripley <NA> <NA> <NA> <NA>
4 test <NA> <NA> <NA> <NA>
> sqlTables(channel, catalog="ripley")
[1] TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS
<0 rows> (or 0-length row.names)
> sqlTables(channel, catalog="test")
TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS
1 test A TABLE
2 test B TABLE
3 test D TABLE
4 test I TABLE
5 test M TABLE
6 test Meta TABLE
7 test Q TABLE
8 test S TABLE
9 test T TABLE
10 test U TABLE
11 test W TABLE
>
> close(channel)
>
|
