我有一个复合列 (Int32Type,BytesType,AsciiType) ,我需要读取它的值(根据标准),修改它并保存回来(某些东西)比如手动计数器列。)
我查询的复合列可能存在,也可能不存在。
赫克托最好的方法是什么?
答案 0 :(得分:4)
我不能保证以下解决方案是最好的,但它具有创建复合列等基本功能。它基本上是读写,基本上是“我需要读取它的值(基于标准)”,修改它并将其保存回来(类似于手动计数器列)。 。但我认为使用这些示例代码,它应该能够作为一个基础并在这里和那里进行改进,以便它成为最好的。 :-)有空闲时间会彻底测试。话虽如此,以下是我的建议。
package com.hector.dataTypes;
import java.util.Iterator;
import me.prettyprint.cassandra.serializers.ByteBufferSerializer;
import me.prettyprint.cassandra.serializers.CompositeSerializer;
import me.prettyprint.cassandra.serializers.IntegerSerializer;
import me.prettyprint.cassandra.serializers.StringSerializer;
import me.prettyprint.cassandra.service.CassandraHostConfigurator;
import me.prettyprint.cassandra.service.ColumnSliceIterator;
import me.prettyprint.cassandra.service.ThriftCluster;
import me.prettyprint.hector.api.Cluster;
import me.prettyprint.hector.api.Keyspace;
import me.prettyprint.hector.api.beans.AbstractComposite.ComponentEquality;
import me.prettyprint.hector.api.beans.ColumnSlice;
import me.prettyprint.hector.api.beans.Composite;
import me.prettyprint.hector.api.beans.HColumn;
import me.prettyprint.hector.api.ddl.ColumnFamilyDefinition;
import me.prettyprint.hector.api.ddl.ColumnType;
import me.prettyprint.hector.api.ddl.ComparatorType;
import me.prettyprint.hector.api.exceptions.HectorException;
import me.prettyprint.hector.api.factory.HFactory;
import me.prettyprint.hector.api.mutation.Mutator;
import me.prettyprint.hector.api.query.QueryResult;
import me.prettyprint.hector.api.query.SliceQuery;
import org.apache.cassandra.db.marshal.Int32Type;
import org.apache.cassandra.utils.ByteBufferUtil;
import com.google.common.base.Joiner;
/**
*
* @author jasonw
*
*/
public class CompositeExample
{
private String m_node;
private String m_keyspace;
private String m_column_family;
private ThriftCluster m_cassandraCluster;
private CassandraHostConfigurator m_cassandraHostConfigurator;
private Mutator<String> mutator;
private SliceQuery<String, Composite, String> sliceQuery;
public CompositeExample(String p_node, String p_keyspace, String p_column_family, String p_cluster)
{
m_node = p_node;
m_keyspace = p_keyspace;
m_column_family = p_column_family;
m_cassandraHostConfigurator = new CassandraHostConfigurator(m_node);
m_cassandraCluster = new ThriftCluster(p_cluster, m_cassandraHostConfigurator);
Cluster cluster = HFactory.getOrCreateCluster(p_cluster, m_cassandraHostConfigurator);
Keyspace keyspace = HFactory.createKeyspace(m_keyspace, cluster);
mutator = HFactory.createMutator(keyspace, StringSerializer.get());
sliceQuery = HFactory.createSliceQuery(keyspace, StringSerializer.get(), CompositeSerializer.get(), StringSerializer.get());
}
public boolean createCompositeColumn(String... p_new_columns)
{
try
{
ColumnFamilyDefinition cfDef = HFactory.createColumnFamilyDefinition(m_keyspace, m_column_family, ComparatorType.COMPOSITETYPE);
cfDef.setColumnType(ColumnType.STANDARD);
cfDef.setComparatorTypeAlias("(".concat(Joiner.on(",").join(p_new_columns)).concat(")"));
cfDef.setKeyValidationClass("UTF8Type");
cfDef.setDefaultValidationClass("UTF8Type");
m_cassandraCluster.addColumnFamily(cfDef, true);
return true;
}
catch (HectorException e)
{
e.printStackTrace();
}
return false;
}
public boolean saveColumn(String p_field_one, String p_field_two, String p_field_three)
{
try
{
Composite c = new Composite();
c.addComponent(Int32Type.instance.fromString(p_field_one), ByteBufferSerializer.get());
c.addComponent(ByteBufferUtil.bytes(p_field_two), ByteBufferSerializer.get());
c.addComponent(p_field_three, StringSerializer.get());
HColumn<Composite, String> col = HFactory.createColumn(c, "composite_value", CompositeSerializer.get(), StringSerializer.get());
mutator.addInsertion("key", m_column_family, col);
mutator.execute();
return true;
}
catch (HectorException e)
{
e.printStackTrace();
}
return false;
}
public boolean readColumn(String p_key, int p_column_number, ComponentEquality p_equality, int p_value)
{
if (p_column_number < 0 || p_column_number > 2)
{
return false;
}
try
{
sliceQuery.setColumnFamily(m_column_family);
sliceQuery.setKey(p_key);
Composite start = new Composite();
start.addComponent(0, p_value, p_equality);
Composite end = new Composite();
end.addComponent(0, p_value, ComponentEquality.GREATER_THAN_EQUAL);
sliceQuery.setRange(start, end, false, 1000);
QueryResult<ColumnSlice<Composite, String>> qr = sliceQuery.execute();
System.out.println("size = " + qr.get().getColumns().size());
Iterator<HColumn<Composite, String>> iter = qr.get().getColumns().iterator();
while (iter.hasNext())
{
HColumn<Composite, String> column = iter.next();
System.out.print(column.getName().get(0, IntegerSerializer.get()));
System.out.print(":");
System.out.print(column.getName().get(1, StringSerializer.get()));
System.out.print(":");
System.out.print(column.getName().get(2, StringSerializer.get()));
System.out.println("=" + column.getValue());
}
return true;
}
catch (HectorException e)
{
e.printStackTrace();
}
catch (Exception why)
{
why.printStackTrace();
}
return false;
}
public static void main(String[] args)
{
boolean isSuccess = false;
String node_ip = "192.168.0.1";
String keyspace_name = "mykeyspace";
String column_family_name = "compositecf";
String cluster_name = "Test Cluster";
CompositeExample test1 = new CompositeExample(node_ip, keyspace_name, column_family_name, cluster_name);
isSuccess = test1.createCompositeColumn("Int32Type", "BytesType", "AsciiType");
if (!isSuccess)
{
System.err.println("failed to create cf");
System.exit(-1);
}
isSuccess = test1.saveColumn("1027", "blablabla", "this is ascii field");
if (!isSuccess)
{
System.err.println("failed to write");
System.exit(-1);
}
isSuccess = test1.readColumn("key", 0, ComponentEquality.EQUAL, 1027);
if (!isSuccess)
{
System.err.println("failed to read");
System.exit(-1);
}
}
}
答案 1 :(得分:1)
Composite col = new Composite(yourInt, yourBytes, yourString);
ColumnSlice<Composite, valueType> result = HFactory.createSliceQuery(keyspace, keySerializer, compositeSerializer, intSerializer)
.setColumnFamily(columnFamily)
.setKey(key)
.setRange(col, col, false, 1)
.execute()
.get();
if (result.getColumns().isEmpty()) {
// do whatever you need to do if there's no value
} else {
int value = result.getColumns().get(0).getValue();
int newValue = //some modification to value
Mutator<keyType> mutator = HFactory.createMutator(keyspace, keySerializer);
HColumn<Composite, int> column = HFactory.createColumn(col, newValue, CompositeSerializer, intSerializer);
mutator.addInsertion(key, columnFamily, column);
mutator.execute();
}