public static void main(String[] args) throws Exception {
String driver = "com.mysql.jdbc.Driver";
String url = "jdbc:mysql://192.168.56.101:3306/eat?useUnicode=true&characterEncoding=utf8&useSSL=true";
String username = "root";
String password = "ok";
Class.forName(driver);
Connection con = DriverManager.getConnection(url,username,password);
PreparedStatement pst = con.prepareStatement("select * from foods");
ResultSet res = pst.executeQuery();
while (res.next()){
int food_id = res.getInt("food_id");
int shop_id = res.getInt("shoppe_id");
String food_name = res.getString("food_name");
int food_price = res.getInt("food_price");
String result = food_id+":"+shop_id+":"+food_name+":"+food_price;
System.out.println(result);
}
res.close();
pst.close();
con.close();
}
public static void main(String[] args) throws Exception {
String driver = "com.mysql.jdbc.Driver";
String url = "jdbc:mysql://192.168.56.101:3306/eat?useUnicode=true&characterEncoding=utf8&useSSL=true";
String username = "root";
String password = "ok";
Class.forName(driver);
Connection con = DriverManager.getConnection(url,username,password);
PreparedStatement pst = con.prepareStatement("insert into table foods(food_id,shoppe_id,food_name,food_price) values (?,?,?,?)");
pst.setInt(1,100);
pst.setInt(2,33);
pst.setString(3,"红烧带鱼");
pst.setInt(4,25);
int i = pst.executeUpdate();
System.out.println(i);
pst.close();
con.close();
}
public static void main(String[] args) throws Exception {
String driver = "org.apache.hive.jdbc.HiveDriver";
String url = "jdbc:hive2://192.168.56.101:10000/mydemo";
String username = "";
String password = "";
Class.forName(driver);
Connection con = DriverManager.getConnection(url,username,password);
PreparedStatement pst = con.prepareStatement("select * from scores");
ResultSet res = pst.executeQuery();
while (res.next()){
int scid = res.getInt("scid");
int userid = res.getInt("userid");
int score = res.getInt("score");
String classname = res.getString("classname");
String result = scid+":"+userid+":"+score+":"+classname;
System.out.println(result);
}
}
public static void main(String[] args) throws Exception {
String driver = "org.apache.hive.jdbc.HiveDriver";
String url = "jdbc:hive2://192.168.56.101:10000/mydemo";
String username = "";
String password = "";
Class.forName(driver);
Connection con = DriverManager.getConnection(url,username,password);
PreparedStatement pst = con.prepareStatement("insert into table scores(scid,userid,score,classname) values (?,?,?,?)");
pst.setInt(1,4);
pst.setInt(2,4);
pst.setInt(3,99);
pst.setString(4,"kb11");
int i = pst.executeUpdate();
System.out.println(i);
public class java_hbase {
// 创建表
public void createTable() throws IOException {
// 配置信息
Configuration conf = HBaseConfiguration.create();
conf.set("hbase.zookeeper.quorum","clz");
conf.set("hbase。zookeeper.property.clientPort","2181");
// 创建连接
Connection con = ConnectionFactory.createConnection(conf);
Admin admin = con.getAdmin();
HTableDescriptor kk = new HTableDescriptor(TableName.valueOf("kk"));
kk.addFamily(new HColumnDescriptor("kk1"));
kk.addFamily(new HColumnDescriptor("kk2"));
admin.createTable(kk);
}
// 插入数据
public void putData() throws IOException {
Configuration conf = new Configuration();
conf.set("hbase.zookeeper.quorum","clz");
conf.set("hbase.zookeeper.property.clientPort","2181");
Connection con = ConnectionFactory.createConnection(conf);
Table student = con.getTable(TableName.valueOf("kk"));
Put put = new Put(Bytes.toBytes("1001"));
put.addColumn(Bytes.toBytes("kk1"),Bytes.toBytes("name"),Bytes.toBytes("zs"));
student.put(put);
}
// 查看数据
public void getData() throws IOException {
Configuration conf = HBaseConfiguration.create();
conf.set("hbase.zookeeper.quorum","clz");
conf.set("hbase.zookeeper.property.clientPort","2181");
Connection con = ConnectionFactory.createConnection(conf);
Table student = con.getTable(TableName.valueOf("kk"));
Get get = new Get(Bytes.toBytes("1001"));
Result result = student.get(get);
Cell[] cells = result.rawCells();
for (Cell cell : cells) {
System.out.println("rowkey"+Bytes.toString(CellUtil.cloneRow(cell)));
System.out.println("列簇"+Bytes.toString(CellUtil.cloneFamily(cell)));
System.out.println("列名"+Bytes.toString(CellUtil.cloneQualifier(cell)));
System.out.println("列值"+Bytes.toString(CellUtil.cloneValue(cell)));
}
}
// 删除表操作
public void dropTable() throws IOException {
Configuration conf = HBaseConfiguration.create();
conf.set("hbase.zookeeper.quorum","clz");
conf.set("hbase.zookeeper.property.clientPort","2181");
//创建连接
Connection conn = ConnectionFactory.createConnection(conf);
//创建admin
Admin admin = conn.getAdmin();
//调用API禁用表
admin.disableTable(TableName.valueOf("kk"));
//调用API删除表
admin.deleteTable(TableName.valueOf("kk"));
}
}
读
def main(args: Array[String]): Unit = {
val spark = SparkSession.builder().appName("mysql").master("local[*]").getOrCreate()
val url = "jdbc:mysql://jzy1:3306/mydemo"
val prop = new Properties()
prop.setProperty("driver","com.mysql.jdbc.Driver")
prop.setProperty("user","root")
prop.setProperty("password","ok")
val frame = spark.read.jdbc(url,"course",prop)
frame.show()
}
写
def main(args: Array[String]): Unit = {
val spark = SparkSession.builder().appName("mysql").master("local[*]").getOrCreate()
import spark.implicits._
val url = "jdbc:mysql://jzy1:3306/mydemo"
val prop = new Properties()
prop.setProperty("driver","com.mysql.jdbc.Driver")
prop.setProperty("user","root")
prop.setProperty("password","ok")
val courseadd = Seq(("04","化学","02")).toDF("c_id","c_name","t_id")
courseadd.write.mode("append").jdbc(url,"course",prop)
}
读
def main(args: Array[String]): Unit = {
val spark = SparkSession.builder()
.master("local[*]")
.appName("dwd_action")
.enableHiveSupport()
.config("hive.metastore.uris", "thrift://192.168.56.21:9083")
.getOrCreate()
val usr = spark.sql("select * from mydemo.userinfos").cache()
usr.show()
}
写
def main(args: Array[String]): Unit = {
val spark = SparkSession.builder()
.master("local[*]")
.appName("dwd_action")
.enableHiveSupport()
.config("hive.metastore.uris", "thrift://192.168.56.21:9083")
.getOrCreate()
val usr = spark.sql("select * from mydemo.userinfos").cache()
usr.write.mode("append").saveAsTable("mydemo.userinfos")
}
读:
val spark = SparkSession.builder().appName("HBaseTest").master("local[*]").getOrCreate()
val sc= spark.sparkContext
val tablename="myexam:ord1"
val conf = HBaseConfiguration.create()
conf.set("hbase.zookeeper.quorum","192.168.56.21")
conf.set("hbase.zookeeper.property.clientPort","2181")
conf.set(TableInputFormat.INPUT_TABLE,tablename)
val rdd1= sc.newAPIHadoopRDD(conf,classOf[TableInputFormat],
classOf[org.apache.hadoop.hbase.io.ImmutableBytesWritable],
classOf[org.apache.hadoop.hbase.client.Result]
).cache()
println("count="+rdd1.count())
import spark.implicits._
//遍历输出
rdd1.foreach({
case (_,result) =>
//通过result.getRow来获取行键
val key = Bytes.toString(result.getRow)
//通过result.getValue("列簇","列名")来获取值
//需要使用getBytes将字符流转化为字节流
val buynum = Bytes.toString(result.getValue("one".getBytes,"buynum".getBytes))
val cust_id = Bytes.toString(result.getValue("one".getBytes,"cust_id".getBytes))
val dt = Bytes.toString(result.getValue("one".getBytes,"dt".getBytes))
val good_id = Bytes.toString(result.getValue("one".getBytes,"good_id".getBytes))
println("Row key:"+key+" buynum:"+buynum+" cust_id:"+cust_id+" dt:"+dt+" good_id:"+good_id)
})
写:
val spark = SparkSession.builder().appName("HBaseTest").master("local[*]").getOrCreate()
val sc= spark.sparkContext
val tablename="myexam:ord1"
val conf = HBaseConfiguration.create()
conf.set("hbase.zookeeper.quorum","192.168.56.21")
conf.set("hbase.zookeeper.property.clientPort","2181")
conf.set(TableOutputFormat.OUTPUT_TABLE,tablename)
val job = new JobConf(conf)
job.setOutputFormat(classOf[TableOutputFormat])
val indataRDD = sc.makeRDD(Array("11,1,6,20200807,7"))
val rdd = indataRDD.map(_.split(",")).map{
arr=>
val put = new Put(Bytes.toBytes(arr(0)))
put.addColumn(Bytes.toBytes("one"),Bytes.toBytes("buynum"),Bytes.toBytes(arr(1)))
put.addColumn(Bytes.toBytes("one"),Bytes.toBytes("cust_id"),Bytes.toBytes(arr(2)))
put.addColumn(Bytes.toBytes("one"),Bytes.toBytes("dt"),Bytes.toBytes(arr(3)))
put.addColumn(Bytes.toBytes("one"),Bytes.toBytes("good_id"),Bytes.toBytes(arr(4)))
(new ImmutableBytesWritable,put)
}
rdd.saveAsHadoopDataset(job)
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2019独角兽企业重金招聘Python工程师标准>>> ...