Error in .oci.GetQuery(conn, statement, ...) : ORA-29400: data cartridge error ORA-24323: ????? ORA-06512: at "RQSYS.RQTABLEEVALIMPL", line 24 ORA-06512: at line 4

Question

Hi,everyone,
            I had  installed  R Enterprise in my Oracle 11.2.0.1 base on win7,using the R 2.13.2, ORE 1.1, 　Ｉ can using the part function: like
library(ORE)
options(STERM='iESS', str.dendrogram.last="'", editor='emacsclient.exe', show.error.locations=TRUE)
> ore.connect(user = "RQUSER",password = "RQUSERpsw",conn_string = "", all = TRUE)
> ore.is.connected()
[1] TRUE
> ore.ls()
[1] "IRIS_TABLE"
> demo(package = "ORE")
Demos in package 'ORE':
aggregate               Aggregation
analysis                Basic analysis & data processing operations
basic                   Basic connectivity to database
binning                 Binning logic
columnfns               Column functions
cor                     Correlation matrix
crosstab                Frequency cross tabulations
derived                 Handling of derived columns
distributions           Distribution, density, and quantile functions
do_eval                 Embedded R processing
freqanalysis            Frequency cross tabulations
graphics                Demonstrates visual analysis
group_apply             Embedded R processing by group
hypothesis              Hyphothesis testing functions
matrix                  Matrix related operations
nulls                   Handling of NULL in SQL vs. NA in R
push_pull               RDBMS <-> R data transfer
rank                    Attributed-based ranking of observations
reg                     Ordinary least squares linear regression
row_apply               Embedded R processing by row chunks
sql_like                Mapping of R to SQL commands
stepwise                Stepwise OLS linear regression
summary                 Summary functionality
table_apply             Embedded R processing of entire table
> demo("aggregate",package = "ORE")
  demo(aggregate)
  ---- ~~~~~~~~~
Type  <Return> to start : Return
> #
> #     O R A C L E  R  E N T E R P R I S E  S A M P L E   L I B R A R Y
> #
> #     Name: aggregate.R
> #     Description: Demonstrates aggregations
> #     See also summary.R
> #
> #
> #
>
> ## Set page width
> options(width = 80)
> # List all accessible tables and views in the Oracle database
> ore.ls()
[1] "IRIS_TABLE"
> # Create a new table called IRIS_TABLE in the Oracle database
> # using the built-in iris data.frame
>
> # First remove previously created IRIS_TABLE objects from the
> # global environment and the database
> if (exists("IRIS_TABLE", globalenv(), inherits = FALSE))
+     rm("IRIS_TABLE", envir = globalenv())
> ore.drop(table = "IRIS_TABLE")
> # Create the table
> ore.create(iris, table = "IRIS_TABLE")
> # Show the updated list of accessible table and views
> ore.ls()
[1] "IRIS_TABLE"
> # Display the class of IRIS_TABLE and where it can be found in
> # the search path
> class(IRIS_TABLE)
[1] "ore.frame"
attr(,"package")
[1] "OREbase"
> search()
[1] ".GlobalEnv"          "ore:RQUSER"          "ESSR"              
[4] "package:ORE"         "package:ORExml"      "package:OREeda"    
[7] "package:OREgraphics" "package:OREstats"    "package:MASS"      
[10] "package:OREbase"     "package:ROracle"     "package:DBI"       
[13] "package:stats"       "package:graphics"    "package:grDevices" 
[16] "package:utils"       "package:datasets"    "package:methods"   
[19] "Autoloads"           "package:base"      
> find("IRIS_TABLE")
[1] "ore:RQUSER"
> # Select count(Petal.Length) group by species
> x = aggregate(IRIS_TABLE$Petal.Length,
+               by = list(species = IRIS_TABLE$Species),
+               FUN = length)
> class(x)
[1] "ore.frame"
attr(,"package")
[1] "OREbase"
> x
     species  x
1     setosa 50
2 versicolor 50
3  virginica 50
> # Repeat FUN = summary, mean, min, max, sd, median, IQR
> aggregate(IRIS_TABLE$Petal.Length, by = list(species = IRIS_TABLE$Species),
+           FUN = summary)
     species Min. 1st Qu. Median  Mean 3rd Qu. Max. NA's
1     setosa  1.0     1.4   1.50 1.462   1.575  1.9    0
2 versicolor  3.0     4.0   4.35 4.260   4.600  5.1    0
3  virginica  4.5     5.1   5.55 5.552   5.875  6.9    0
> aggregate(IRIS_TABLE$Petal.Length, by = list(species = IRIS_TABLE$Species),
+           FUN = mean)
     species     x
1     setosa 1.462
2 versicolor 4.260
3  virginica 5.552
> aggregate(IRIS_TABLE$Petal.Length, by = list(species = IRIS_TABLE$Species),
+           FUN = min)
     species   x
1     setosa 1.0
2 versicolor 3.0
3  virginica 4.5
> aggregate(IRIS_TABLE$Petal.Length, by = list(species = IRIS_TABLE$Species),
+           FUN = max)
     species   x
1     setosa 1.9
2 versicolor 5.1
3  virginica 6.9
> aggregate(IRIS_TABLE$Petal.Length, by = list(species = IRIS_TABLE$Species),
+           FUN = sd)
     species         x
1     setosa 0.1736640
2 versicolor 0.4699110
3  virginica 0.5518947
> aggregate(IRIS_TABLE$Petal.Length, by = list(species = IRIS_TABLE$Species),
+           FUN = median)
     species    x
1     setosa 1.50
2 versicolor 4.35
3  virginica 5.55
> aggregate(IRIS_TABLE$Petal.Length, by = list(species = IRIS_TABLE$Species),
+           FUN = IQR)
     species     x
1     setosa 0.175
2 versicolor 0.600
3  virginica 0.775
> # More than one grouping column
> x = aggregate(IRIS_TABLE$Petal.Length,
+               by = list(species = IRIS_TABLE$Species,
+                         width = IRIS_TABLE$Petal.Width),
+               FUN = length)
> x
      species width  x
1      setosa   0.1  5
2      setosa   0.2 29
3      setosa   0.3  7
4      setosa   0.4  7
5      setosa   0.5  1
6      setosa   0.6  1
7  versicolor   1.0  7
8  versicolor   1.1  3
9  versicolor   1.2  5
10 versicolor   1.3 13
11 versicolor   1.4  7
12  virginica   1.4  1
13 versicolor   1.5 10
14  virginica   1.5  2
15 versicolor   1.6  3
16  virginica   1.6  1
17 versicolor   1.7  1
18  virginica   1.7  1
19 versicolor   1.8  1
20  virginica   1.8 11
21  virginica   1.9  5
22  virginica   2.0  6
23  virginica   2.1  6
24  virginica   2.2  3
25  virginica   2.3  8
26  virginica   2.4  3
27  virginica   2.5  3
> # Sort the result by ascending value of count
> ore.sort(data = x, by = "x")
      species width  x
1   virginica   1.4  1
2   virginica   1.7  1
3  versicolor   1.7  1
4   virginica   1.6  1
5      setosa   0.5  1
6      setosa   0.6  1
7  versicolor   1.8  1
8   virginica   1.5  2
9  versicolor   1.1  3
10  virginica   2.4  3
11  virginica   2.5  3
12  virginica   2.2  3
13 versicolor   1.6  3
14     setosa   0.1  5
15  virginica   1.9  5
16 versicolor   1.2  5
17  virginica   2.0  6
18  virginica   2.1  6
19     setosa   0.3  7
20 versicolor   1.4  7
21     setosa   0.4  7
22 versicolor   1.0  7
23  virginica   2.3  8
24 versicolor   1.5 10
25  virginica   1.8 11
26 versicolor   1.3 13
27     setosa   0.2 29
> # by descending value
> ore.sort(data = x, by = "x", reverse = TRUE)
      species width  x
1      setosa   0.2 29
2  versicolor   1.3 13
3   virginica   1.8 11
4  versicolor   1.5 10
5   virginica   2.3  8
6      setosa   0.4  7
7      setosa   0.3  7
8  versicolor   1.0  7
9  versicolor   1.4  7
10  virginica   2.1  6
11  virginica   2.0  6
12  virginica   1.9  5
13 versicolor   1.2  5
14     setosa   0.1  5
15 versicolor   1.6  3
16 versicolor   1.1  3
17  virginica   2.4  3
18  virginica   2.5  3
19  virginica   2.2  3
20  virginica   1.5  2
21  virginica   1.6  1
22  virginica   1.4  1
23     setosa   0.6  1
24     setosa   0.5  1
25 versicolor   1.8  1
26  virginica   1.7  1
27 versicolor   1.7  1
> # Preserve just 1 row for duplicate x's
> ore.sort(data = x, by = "x", unique.keys = TRUE)
      species width  x
1      setosa   0.5  1
2   virginica   1.5  2
3  versicolor   1.1  3
4      setosa   0.1  5
5   virginica   2.0  6
6      setosa   0.3  7
7   virginica   2.3  8
8  versicolor   1.5 10
9   virginica   1.8 11
10 versicolor   1.3 13
11     setosa   0.2 29
> ore.sort(data = x, by = "x", unique.keys = TRUE, unique.data = TRUE)
      species width  x
1      setosa   0.5  1
2   virginica   1.5  2
3  versicolor   1.1  3
4      setosa   0.1  5
5   virginica   2.0  6
6      setosa   0.3  7
7   virginica   2.3  8
8  versicolor   1.5 10
9   virginica   1.8 11
10 versicolor   1.3 13
11     setosa   0.2 29
but    when I  use the following The ore.doEval command  get the errors,
> ore.doEval(function() { 123 })
Error in .oci.GetQuery(conn, statement, ...) :
  ORA-29400: data cartridge error
ORA-24323: ?????
ORA-06512: at "RQSYS.RQEVALIMPL", line 23
ORA-06512: at line 4
and  I  try to run the        demo("row_apply", package="ORE")  get the  same errors:
demo("row_apply",package = "ORE")
  demo(row_apply)
  ---- ~~~~~~~~~
Type  <Return> to start : Return
> #
> #     O R A C L E  R  E N T E R P R I S E  S A M P L E   L I B R A R Y
> #
> #     Name: row_apply.R
> #     Description: Execute R code on each row
> #
> #
>
> ## Set page width
> options(width = 80)
> # List all accessible tables and views in the Oracle database
> ore.ls()
[1] "IRIS_TABLE"
> # Create a new table called IRIS_TABLE in the Oracle database
> # using the built-in iris data.frame
>
> # First remove previously created IRIS_TABLE objects from the
> # global environment and the database
> if (exists("IRIS_TABLE", globalenv(), inherits = FALSE))
+     rm("IRIS_TABLE", envir = globalenv())
> ore.drop(table = "IRIS_TABLE")
> # Create the table
> ore.create(iris, table = "IRIS_TABLE")
> # Show the updated list of accessible table and views
> ore.ls()
[1] "IRIS_TABLE"
> # Display the class of IRIS_TABLE and where it can be found in
> # the search path
> class(IRIS_TABLE)
[1] "ore.frame"
attr(,"package")
[1] "OREbase"
> search()
[1] ".GlobalEnv"          "ore:RQUSER"          "ESSR"              
[4] "package:ORE"         "package:ORExml"      "package:OREeda"    
[7] "package:OREgraphics" "package:OREstats"    "package:MASS"      
[10] "package:OREbase"     "package:ROracle"     "package:DBI"       
[13] "package:stats"       "package:graphics"    "package:grDevices" 
[16] "package:utils"       "package:datasets"    "package:methods"   
[19] "Autoloads"           "package:base"      
> find("IRIS_TABLE")
[1] "ore:RQUSER"
> # The table should now appear in your R environment automatically
> # since you have access to the table now
> ore.ls()
[1] "IRIS_TABLE"
> # This is a database resident table with just metadata on the R side.
> # You will see this below
> class(IRIS_TABLE)
[1] "ore.frame"
attr(,"package")
[1] "OREbase"
> # Apply given R function to each row
> ore.rowApply(IRIS_TABLE,
+              function(dat) {
+                  # Any R code goes here. Operates on one row of IRIS_TABLE at
+                  # a time
+                  cbind(dat, dat$Petal.Length)
+              })
Error in .oci.GetQuery(conn, statement, ...) :
  ORA-29400: data cartridge error
ORA-24323: ?????
ORA-06512: at "RQSYS.RQROWEVALIMPL", line 26
ORA-06512: at line 4
>
whether my oracle's version 11.2.0.1 has no the RDBMS bug fix, and other  problems? Thanks

Answer 1

Oracle R Enterprise 1.1. requires Oracle Database 11.2.0.3, 11.2.0.4. On Linux and Windows.  Oracle R Enterprise can also work with an 11.2.0.1 or 11.2.0.2 database if it is properly patched.
Embedded R execution will not work without a patched database.  Follow this procedure to patch the database:
1. Go to My Oracle Support:http://support.oracle.com
2. Log in and supply your Customer Support ID (CSI).
3. Choose the Patches & Updates tab.
4. In the Patch Search box, type 11678127
and click Search
5. Select the patch for your version of Oracle Database, 11.2.0.1.
6. Click Download to download the patch.
7. Install the patch using OPatch. Ensure that you are using the latest version of OPatch.
Sherry