kobebryantcode Goto Github PK
Type: Organization
Location: China
kobebryantcode's Projects
dingdong-helper
叮咚自动下单 并发调用接口方式 多人高峰期实战反馈10秒以内成功 自动将购物车能买的商品全部下单 只需自行编辑购物车和最后支付即可
facebook-hive-udfs
Facebook's Hive UDFs
flink-learn
Learning Flink : Flink CEP,Flink Core,Flink SQL
hanlp
中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理
hive-third-functions
Some useful custom hive udf functions, especial array, json, math, string functions.
jun_bigdata
jun_bigdata大数据平台服务框架。实现了Kafka实时数据过滤、清洗、转换、消费，实现了Spark SQL对Redis、MongoDB等非关系型数据库的数据的读写；集成了规则引擎，可基于规则引擎实现客户标签、画像等相关功能。输出各类大屏展示看板DashBoard等
kafka_sparkstream_redisoffset
SparkStreaming通过Redis事务保存偏移量
kafkatosparktokudu
SparkStreaming消费Kafka消息队列数据,实时写入Kudu列存数据库。
kerberos-kafka2sparkstreaming2hbase
Kerberos环境下SparkStreaming消费Kafka保存Hbase
spark-streaming-kafka-offset-mysql
mysql 维护 kafka offset,支持追踪并回滚到某个'异常'时间点，重新消费
spark_streaming_kafka_offset
SparkStreaming中利用MySQL保存Kafka偏移量保证0数据丢失
sparkstreamingkafkaperformance
spark将hdfs数据高性能灌入kafka，然后spark streaming/structured streaming高速消费，关注性能，欢迎提供性能/代码优化建议
structured-streaming-kafka2hbase
Spark structured-streaming 消费kafka数据写入hbase
structuredstreamingkafkapyspark
Apche Spark Structured Streaming with Kafka using Python(PySpark)
yn
A Hackable Markdown Note Application for Programmers. Version control, AI completion, mind map, documents encryption, code snippet running, integrated terminal, chart embedding, HTML applets, plug-in, and macro replacement.
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