This package enables the use of Java JDBC drivers to access databases from within Julia. It uses the JavaCall.jl package to call into Java in order to use the JDBC drivers.
The API provided by this package is very similar to the native JDBC API, with the necessary changes to move from
an object oriented syntax to a Julia's more functional syntax. So while a Java method is transformed to a Julia function
with the same name, the reciever in Java (the object before the dot) becomes the first argument to the Julia function. For
statement.executeQuery(sql_string) in Java becomes, in Julia:
Therefore, some familiarity with JDBC is useful for working with this package.
In JDBC, accessing the data frome a SQL call is done by iterating over a
ResultSet instance. In Julia therefore, the
ResultSet is a regular Julia iterator, and can be iterated in the usual fashion.
There is however, an optional
readtable method that is defined when
DataFrames is loaded. This converts a JDBC resultset into a Julia DataFrame.
This package is now
julia v0.4 and later only. The last released version of this package that works with
julia v0.3 is
To start it up, add the database driver jar file to the classpath, and then initialise the JVM.
using JDBC JavaCall.addClassPath("/home/me/derby/derby.jar") JDBC.init() # or JavaCall.init()
As described above, using this package is very similar to using a JDBC driver in Java. Write the Julia code in a way that is very similar to how corresponding Java code would look.
conn = DriverManager.getConnection("jdbc:derby:test/juliatest") stmt = createStatement(conn) rs = executeQuery(stmt, "select * from firsttable") for r in rs println(getInt(r, 1), getString(r,"NAME")) end
To get each row as a julia tuple, iterate over the result set using
JDBCRowIterator. Values in the tuple will be of Nullable type if they are declared to be nullable in the database.
for r in JDBCRowIterator(rs) println(r) end
The following accessor functions are defined. Each of these functions take two arguments: the
Resultset, and either a field index or a field name. The result of these accessor functions is always a pure Julia object. All conversions from Java types are done before they are returned from these functions.
getInt getFloat getString getShort getByte getTime getTimeStamp getDate getBoolean getNString getURL
While inserts and updates can be done via a fully specified SQL string using the
Statement instance above, it is much safer to do so via a
PreparedStatement has setter functions defined for different types, corresponding to the getter functions shown above.
ppstmt = prepareStatement(conn, "insert into firsttable values (?, ?)") setInt(ppstmt, 1,10) setString(ppstmt, 2,"TEN") executeUpdate(ppstmt)
CallableStatement can be used to run stored procedures. A
CallableStatement can have both input and output parameters, and thus has both getter and setter functions defined.
cstmt = JDBC.prepareCall(conn, "CALL SYSCS_UTIL.SYSCS_SET_DATABASE_PROPERTY(?, ?)") setString(cstmt, 1, "derby.locks.deadlockTimeout") setString(cstmt, 2, "10") execute(cstmt)
Note that as per the JDBC API there are two kinds of execute methods defined on a
executeQuery returns a ResultSet (usually from a
executeUpdate returns an Integer which denotes the number of rows effected by a query (usually an
insert or a DDL). For
CallableStatements, an additional function
execute is defined which returns a boolean which specifies whether a ResultSet has been returned from the query.
Also note that for a
Statement, the query itself is specified in the corresponding
execute.. call, while for a
PreparedStatement and a
CallableStatement, the query itself is specified while creating them.
The connections and the statements should be closed via their
setAutoCommit(true|false) do the obvious things.
JResultSet object from
getTableMetaData to get an array of
(column_name, column_type) tuples.
conn = DriverManager.getConnection("jdbc:derby:test/juliatest") stmt = createStatement(conn) rs = executeQuery(stmt, "select * from firsttable") metadata = getTableMetaData(rs)
DBAPI.jl is implemented in this package. To connect:
conn = connect(JDBCInterface, "jdbc:mysql://127.0.0.1/", props=Dict("user" => "root", "passwd" => ""), connectorpath="/usr/share/java/mysql-connector-java.jar")
To execute a query, we first need a cursor, then we run
execute! on the cursor:
csr = cursor(conn) execute!(csr, "insert into pi_table (pi_value) values (3.14);") execute!(csr, "select * from my_table;")
To iterate over rows call
rows on the cursor:
rs = rows(csr) for row in rs # do stuff with row end
To close the cursor call
close on the cursor instance.
JavaCall. Please look at the
JDBC.jlsource for inspiration if you need to do that.
java.sql.Datedo not store any timezone information within them. I believe we are doing the right thing here, and everything should be consistent. However timezone is easy to get wrong, so please double check if your application depends on accurate times.