flink-shaded-hadoop-2-uber-2.7.5-10.0
2021-05-27 11:05:28
35.5MB
1
flink-shaded-hadoop-2-uber-3.1.4-12.0.jar 是flink1.12集成hadoop3.1.4的jar依赖。
2021-05-19 20:59:13
54.85MB
1
hive-jdbc-uber-2.6.5.0-292.jar
DbVisualizer (as of version 9.5.5)
Below is an example configuration using DbVisualizer:
Open the Diver Manager dialog ("Tools" > "Driver Manager...") and hit the "Create a new driver" icon.
Fill in the information as seen below. For the "Driver File Paths" you are pointing to hive-jdbc-uber-x.jar.
jdbc:hive2://:/
Create a new connection ("Database" > "Create Database Connection") and fill out the details based on your cluster as seen below.
Hit the "Connect" button to test the connection. You should see something like the following in the "Connection Message" text area if the connection is successful.
Apache Hive
1.2.1000.2.5.3.0-37
null
null
JetBrains DataGrip (as of version 2016.3)
Below is an example configuration using JetBrains DataGrip:
Under "File" > "Data Sources...", create a new Driver.
jdbc:hive2://{host}:{port}/{database}[;]
Then create a new Project Data Source using the new Driver.
After creating the Project Data Source, test the connection. You should see the following:
2021-05-14 23:49:01
17.49MB
1
flink-shaded-hadoop-2-uber-2.7.5-10.0
2021-05-04 11:02:45
35.5MB
1
该项目旨在揭示所有有趣的见解，这些见解可以从对数据集的详细分析中获得，甚至无需进行任何机器学习。 确定这些变化点将对预测需求非常有用。 此外，它将通过计划不同的战略来帮助扩展Uber的业务。 在对如此大的数据集以及错误的输入进行适当的分析和可视化之后，我们能够显示许多图形，这些图形指向一些非常重要的结果。
2021-05-03 18:45:26
237KB
1
Flink sink cdh6.2 hadoop3.0.0 jar包
2021-04-16 14:07:10
48.44MB
1
当前的flink版本是一个纯净的版本，如果需要依赖其他系统（例如咱们当前flink的相关数据都存储到了hdfs），则需要添加相应的jar包
下载完成后上传到${FLINK_HOME}/lib/目录下
2021-04-16 09:57:12
41.31MB
1
Flink1.10.1编译hadoop2.7.2
编译flink-shaded-hadoop-2-uber
2021-04-09 20:05:19
39.23MB
1