MongoDB 模糊查询的三种实现方式-morphia实现
2016-12-30 15:14
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http://gaozzsoft.iteye.com/blog/1561781
MongoDB 模糊查询的三种实现方式-morphia实现如下:
方式一:正则表达式-单个值模糊查询
Pattern pattern = Pattern.compile("^" + treeIndex + ".*$", Pattern.CASE_INSENSITIVE);
assetInfoDao.createQuery().filter("treeIndexes", pattern);
方式二:正则表达式-多个值模糊查询
String[] categorys = category.split(",");
List<Pattern> patterns = Lists.newArrayList();
for (String treeIndex : categorys) {
Pattern pattern = Pattern.compile("^" + treeIndex + ".*$", Pattern.CASE_INSENSITIVE);
patterns.add(pattern);
}
query.filter("treeIndexes all", patterns);
方式三:contains模糊查询方式
if (StringUtils.isNotBlank(title)) {
query = query.field("title").contains(title);
}
方式四:精确查询
String[] categorys = category.split(",");
query.filter("treeIndexes all", Arrays.asList(categorys));
imports:
import java.util.regex.Pattern;
import com.google.code.morphia.DatastoreImpl;
import com.google.code.morphia.query.Query;
PS:
/**
* <p>Create a filter based on the specified condition and value.
* </p><p>
* <b>Note</b>: Property is in the form of "name op" ("age >").
* </p><p>
* Valid operators are ["=", "==","!=", "<>", ">", "<", ">=", "<=", "in", "nin", "all", "size", "exists"]
* </p>
* <p>Examples:</p>
*
* <ul>
* <li>{@code filter("yearsOfOperation >", 5)}</li>
* <li>{@code filter("rooms.maxBeds >=", 2)}</li>
* <li>{@code filter("rooms.bathrooms exists", 1)}</li>
* <li>{@code filter("stars in", new Long[]{3,4}) //3 and 4 stars (midrange?)}</li>
* <li>{@code filter("age >=", age)}</li>
* <li>{@code filter("age =", age)}</li>
* <li>{@code filter("age", age)} (if no operator, = is assumed)</li>
* <li>{@code filter("age !=", age)}</li>
* <li>{@code filter("age in", ageList)}</li>
* <li>{@code filter("customers.loyaltyYears in", yearsList)}</li>
* </ul>
*
* <p>You can filter on id properties <strong>if</strong> this query is
* restricted to a Class<T>.
*/
MongoDB 模糊查询的三种实现方式-morphia实现如下:
方式一:正则表达式-单个值模糊查询
Pattern pattern = Pattern.compile("^" + treeIndex + ".*$", Pattern.CASE_INSENSITIVE);
assetInfoDao.createQuery().filter("treeIndexes", pattern);
方式二:正则表达式-多个值模糊查询
String[] categorys = category.split(",");
List<Pattern> patterns = Lists.newArrayList();
for (String treeIndex : categorys) {
Pattern pattern = Pattern.compile("^" + treeIndex + ".*$", Pattern.CASE_INSENSITIVE);
patterns.add(pattern);
}
query.filter("treeIndexes all", patterns);
方式三:contains模糊查询方式
if (StringUtils.isNotBlank(title)) {
query = query.field("title").contains(title);
}
方式四:精确查询
String[] categorys = category.split(",");
query.filter("treeIndexes all", Arrays.asList(categorys));
imports:
import java.util.regex.Pattern;
import com.google.code.morphia.DatastoreImpl;
import com.google.code.morphia.query.Query;
PS:
/**
* <p>Create a filter based on the specified condition and value.
* </p><p>
* <b>Note</b>: Property is in the form of "name op" ("age >").
* </p><p>
* Valid operators are ["=", "==","!=", "<>", ">", "<", ">=", "<=", "in", "nin", "all", "size", "exists"]
* </p>
* <p>Examples:</p>
*
* <ul>
* <li>{@code filter("yearsOfOperation >", 5)}</li>
* <li>{@code filter("rooms.maxBeds >=", 2)}</li>
* <li>{@code filter("rooms.bathrooms exists", 1)}</li>
* <li>{@code filter("stars in", new Long[]{3,4}) //3 and 4 stars (midrange?)}</li>
* <li>{@code filter("age >=", age)}</li>
* <li>{@code filter("age =", age)}</li>
* <li>{@code filter("age", age)} (if no operator, = is assumed)</li>
* <li>{@code filter("age !=", age)}</li>
* <li>{@code filter("age in", ageList)}</li>
* <li>{@code filter("customers.loyaltyYears in", yearsList)}</li>
* </ul>
*
* <p>You can filter on id properties <strong>if</strong> this query is
* restricted to a Class<T>.
*/
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