/usr/lib/R/site-library/DBI/TODO is in r-cran-dbi 0.2-7-1.
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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 | Issues that R-SIG-DB hasn't addressed.
1. Should we define separate classes for SQL queries that return data
from those that don't return data? E.g., the "DBIResult" could
represent the result of non-data queries (INSERT, DELETE, CREATE,
etc.) while "DBIResultSet" (or perhaps "DBICursor") could extend
"DBIResult" to represent results of queries that generate data
(primarily SELECT).
2. (See ROracle version 0.5-3 for an initial implementation.)
Prepare statements need to be defined and methods for executing
them with S bindings. A mechanism to hook data in SQL
statements and, say, fields in data.frames needs to be defined.
Some databases' API explicitly defined these as placeholders,
e.g., ODBC identifies these as "?var" in dynamic SQL, Oracle as
":var" --- in both of these cases "var" refers to a C variable,
possibly an array. An obvious R/S-Plus implementation would
be to interpret "?var" in SQL statements as variable "var"
in some data.frame. E.g., say,
ps <- dbPrepare(connection =con,
statement = "select * from big_table where id = ?sample",
data = signature(sample = "numeric"))
rs <- dbExecStatement(ps, data = mySampleIds1) # copy data to DBMS
data1 <- fetch(rs, n = -1)
rs <- dbExecStatement(ps, data = mySampleIds2) # copy more data
data2 <- fetch(rs, n = -1)
rs <- dbExecStatement(ps, data = mySampleIds3) # copy more data
data3 <- fetch(rs, n = -1)
....
3. Data conversion. We need a general method for specifying data
conversion.
The data conversion mechanism used in other inter system packages
(e.g., RSPython, RSPerl) does not seem to be suitable without
modification. Those mechanism seem to be geared for converting
in one operation whole objects, while in the R/S-Plus DBMS case we
need to be able to allocate containers as columns of the R/S-Plus
result list/data.frame, and then transfer individual objects
(dates, BLOBS, CLOBS, numbers, strings) one at a time from the
DBMS into the container class inside the C fetching looping.
4. Do we need more metadata? (e.g., table indices, privileges).
5. (See ROracle version 0.5-3 for an initial implementation.)
Transaction management needs to be fully described.
6. How do we run SQL scripts (not just single statements) and
stored procedures.
7. Asynchronous operations (not only queries). Given current
limitations in both R and S-Plus implementations of S (e.g.,
lack of threads), we probably should be thinking of some kind of
polling mechanism with which users specify whether an operation
should be asynchronous (say, through a flag to dbConnect,
dbSendQuery, etc.) and then define one of more methods, say,
dbHasCompleted, to poll the DBMS or driver for the status of
the operation. Another possibility could be to register S
callbacks for certain events, but it may be more complicated to
code events in the various drivers than simply poll [not if the
event identification and callback dispatching is centralized in
the RS_DBI level, above the actual R/C drivers code].
8. Additional helper functions.
* dbBuildTableDefinition(con, name, obj, field.types, ....)
Then we could have methods for obj="data.frame", obj="array", etc.
By default the DBI method con=DBIObject would construct the
definition acording to the SQL92 or SQL99 standard(s), but
individual implementations could overwrite the methods.
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