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package com.apress.springrecipes.vehicle; ... import org.springframework.jdbc.core.simple.ParameterizedBeanPropertyRowMapper; import org.springframework.jdbc.core.simple.SimpleJdbcDaoSupport; public class JdbcVehicleDao extends SimpleJdbcDaoSupport implements VehicleDao { ... public List<Vehicle> findAll() { String sql = "SELECT * FROM VEHICLE"; List<Vehicle> vehicles = getSimpleJdbcTemplate().query(sql, ParameterizedBeanPropertyRowMapper.newInstance(Vehicle.class)); return vehicles; } } When querying for a single value with SimpleJdbcTemplate, the return type of the queryForObject() method will be determined by the class argument (e.g., String.class). So, there s no need for you to perform type casting manually. Note that the statement parameters of variable length must also be supplied at the end of the argument list. package com.apress.springrecipes.vehicle; ... import org.springframework.jdbc.core.simple.SimpleJdbcDaoSupport; public class JdbcVehicleDao extends SimpleJdbcDaoSupport implements VehicleDao { ... public String getColor(String vehicleNo) { String sql = "SELECT COLOR FROM VEHICLE WHERE VEHICLE_NO = "; // No need to cast into String anymore. String color = getSimpleJdbcTemplate().queryForObject(sql, String.class, vehicleNo); return color; } }



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The method that it uses to do this is getParameter(String), which returns a String that has the value of the request parameter with the given name If no such parameter exists, then null is returned The name used by the servlet:.

What we need to figure out, in order to design this algorithm, is how to partition the data in linear time so that we end up with all our objects in one half As always, systematically going through the tools at our disposal, and framing the problem as clearly as we can, makes that much easier to figure out a solution We ve arrived at a point where what we need is to partition a sequence into two halves, one consisting of small values and one of large values And we don t have to guarantee that the halves are equal only that they ll be equal on average.





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In classic JDBC usages, SQL parameters are represented by the placeholder and bound by position. The trouble with positional parameters is that whenever the parameter order is changed, you have to change the parameter bindings as well. For a SQL statement with many parameters, it is very cumbersome to match the parameters by position.

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String username = request.getParameter("username");

A simple way of doing this is to choose one of the values as a so-called pivot and use it to divide the others: all those smaller than (or equal to) the pivot end up in the left half, while those larger end up on the right Listing 6-3 gives you a possible implementation of partition and select Note that this version of partition is primarily meant to be readable; Exercise 6-11 asks you to see whether you can remove some overhead The way select is written here, it returns the kth smallest element; if you d rather have all the k smallest elements, you can simply rewrite it to return lo instead of pi Listing 6-3.

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Another option when binding SQL parameters in the Spring JDBC framework is to use named parameters. As the term implies, named SQL parameters are specified by name (starting with a colon) rather than by position. Named parameters are easier to maintain and also improve readability. Named parameters will be replaced by placeholders by the framework classes at runtime. Named parameters are only supported in SimpleJdbcTemplate and NamedParameterJdbcTemplate.

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There are several other methods used to retrieve the request parameters from the request object. I will cover these methods later in the chapter. The Login servlet then uses the response object to return a response to the client. It starts by setting the Content-type of the response to "text/html":

A Straightforward Implementation of Partition and Select def partition(seq): pi, seq = seq[0], seq[1:] lo = [x for x in seq if x <= pi] hi = [x for x in seq if x > pi] return lo, pi, hi # # # # Pick and remove the pivot All the small elements All the large ones pi is "in the right place".

When using named parameters in your SQL statement, you can provide the parameter values in a map with the parameter names as the keys. package com.apress.springrecipes.vehicle; ... import org.springframework.jdbc.core.simple.SimpleJdbcDaoSupport; public class JdbcVehicleDao extends SimpleJdbcDaoSupport implements VehicleDao { public void insert(Vehicle vehicle) { String sql = "INSERT INTO VEHICLE (VEHICLE_NO, COLOR, WHEEL, SEAT) " + "VALUES (:vehicleNo, :color, :wheel, :seat)"; Map<String, Object> parameters = new HashMap<String, Object>(); parameters.put("vehicleNo", vehicle.getVehicleNo()); parameters.put("color", vehicle.getColor()); parameters.put("wheel", vehicle.getWheel()); parameters.put("seat", vehicle.getSeat()); getSimpleJdbcTemplate().update(sql, parameters); } ... } You can also provide a SQL parameter source, whose responsibility is to offer SQL parameter values for named parameters. There are two implementations of the SqlParameterSource interface. The basic one is MapSqlParameterSource, which wraps a map as its parameter source. package com.apress.springrecipes.vehicle; ... import org.springframework.jdbc.core.namedparam.MapSqlParameterSource; import org.springframework.jdbc.core.namedparam.SqlParameterSource; import org.springframework.jdbc.core.simple.SimpleJdbcDaoSupport; public class JdbcVehicleDao extends SimpleJdbcDaoSupport implements VehicleDao {

response.setContentType("text/html");

The content type must be set before getting an OutputStream or Writer object from the response object, since the content type is used to create the OutputStream or Writer.

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