所以我们当前的代码将csv文件加载到本地jdbcTemplate中,然后我进行一些查询。问题始终是性能,我们终于可以访问可以加载数据的SQL服务器。当然,该公司得到了基本没有数据库技能的人来设置它:P
@Autowired
DataSource dataSource;
@RequestMapping("/queryService")
public void queryService(@RequestParam("id")String id)
{
log.info("Creating tables");
jdbcTemplate.execute("DROP TABLE accounts IF EXISTS");
jdbcTemplate.execute("CREATE TABLE accounts(id VARCHAR(255), name VARCHAR(255), Organization__c VARCHAR(255)";
insertBatch(accounts,dataSource);
ArrayList<Account2> filteredaccs = filterAccount(jdbcTemplate);
public void insertBatch(ArrayList<Account2> accs, DataSource dataSource) {
List<Map<String, Object>> batchValues = new ArrayList<>(accs.size());
for (Account2 a : accs) {
Map<String, Object> map = new HashMap<>();
map.put("id", a.getId());
map.put("name", a.getName());
map.put("Organization__c", a.getOrganization__c());
batchValues.add(map);
}
SimpleJdbcInsert simpleJdbcInsert = new SimpleJdbcInsert(dataSource).withTableName("accounts");
int[] ints = simpleJdbcInsert.executeBatch(batchValues.toArray(new Map[accs.size()]));
}
public ArrayList<Account2> filterAccount(JdbcTemplate jdbcTemplate)
{
String sql= "query string";
ArrayList<Account2> searchresults = (ArrayList<Account2>) jdbcTemplate.query(sql,
new RowMapperResultSetExtractor<Account2>(new AccountRowMapper(), 130000));
return searchresults;
}
public class AccountRowMapper implements RowMapper<Account2> {
public Account2 mapRow(ResultSet rs, int rowNum) throws SQLException {
Account2 a = new Account2();
a.setId(rs.getString("id"));
a.setName(rs.getString("name"));
a.setOrganization__c(rs.getString("Organization__c"));
return a;
}
}
这里的问题是,我最快捷的方式是切换&#39;使用SQL服务器将数据拉下来,使用相同的表和行,而不会更改我当前的代码?