电子商务网站的建设心得,企业网站seo服务,新手怎么学习网站建设,扬州建设机械网站Kafka表引擎也是一种常见的表引擎#xff0c;在很多大数据量的场景下#xff0c;会从源通过Kafka将数据输送到ClickHouse#xff0c;Kafka作为输送的方式#xff0c;ClickHouse作为存储引擎与查询引擎#xff0c;大数据量的数据可以得到快速的、高压缩的存储。
Kafka大家…Kafka表引擎也是一种常见的表引擎在很多大数据量的场景下会从源通过Kafka将数据输送到ClickHouseKafka作为输送的方式ClickHouse作为存储引擎与查询引擎大数据量的数据可以得到快速的、高压缩的存储。
Kafka大家肯定不陌生
它可以用于发布和订阅数据流是常见的队列使用方式它可以组织容错存储是常见的容错存储的使用方式它可以在流可用时对其进行处理是常见的大数据处理的使用方式 全文概览
基本语法从 Kafka 写入到 ClickHouse从 ClickHouse 写入到 Kafka 测试1queue-ck-queue测试2ck-queue
基本语法
分为定义表结构和定义Kafka的接入参数Kafka的接入参数都是常见的字段
CREATE TABLE [IF NOT EXISTS] [db.]table_name [ON CLUSTER cluster]
(name1 [type1] [ALIAS expr1],name2 [type2] [ALIAS expr2],...
) ENGINE Kafka()
SETTINGSkafka_broker_list host:port,kafka_topic_list topic1,topic2,...,kafka_group_name group_name,kafka_format data_format[,][kafka_schema ,][kafka_num_consumers N,][kafka_max_block_size 0,][kafka_skip_broken_messages N,][kafka_commit_every_batch 0,][kafka_client_id ,][kafka_poll_timeout_ms 0,][kafka_poll_max_batch_size 0,][kafka_flush_interval_ms 0,][kafka_thread_per_consumer 0,][kafka_handle_error_mode default,][kafka_commit_on_select false,][kafka_max_rows_per_message 1];示例
CREATE TABLE IF NOT EXISTS test_ck_sync1
(sys_time Datetime COMMENT ,num UInt32 COMMENT
)
ENGINE Kafka
SETTINGS kafka_broker_list 127.0.0.1:9092, kafka_topic_list test_ck_sync1, kafka_group_name ck_test_ck_sync1, kafka_format CSV, kafka_max_block_size 200000, kafka_skip_broken_messages 1000, kafka_row_delimiter \n, format_csv_delimiter |从 Kafka 写入到 ClickHouse
创建topic:
bin/kafka-topics.sh --create --bootstrap-server 127.0.0.1:9092 --replication-factor 1 --partitions 1 --topic test_ck_sync1创建同步表
CREATE TABLE IF NOT EXISTS test_ck_sync1
(sys_time Datetime COMMENT ,num UInt32 COMMENT
)
ENGINE Kafka
SETTINGS kafka_broker_list 127.0.0.1:9092, kafka_topic_list test_ck_sync1, kafka_group_name ck_test_ck_sync1, kafka_format CSV, kafka_max_block_size 200000, kafka_skip_broken_messages 1000, kafka_row_delimiter \n, format_csv_delimiter |CREATE TABLE IF NOT EXISTS test_ck_sync1_res
(sys_time Datetime COMMENT ,num UInt32 COMMENT
)
ENGINE MergeTree
PARTITION BY toYYYYMMDD(sys_time)
ORDER BY tuple()创建物化视图进行数据样式的转换:
CREATE MATERIALIZED VIEW test_ck_sync1_mv TO test_ck_sync1_res AS
SELECTsys_time,num
FROM test_ck_sync1通过console写入数据:
[$ kafka_2.13-3.6.1]# bin/kafka-console-producer.sh --broker-list 127.0.0.1:9092 --topic test_ck_sync1
2024-01-01 00:00:01|89 验证数据
$ :) select * from test_ck_sync1_res;SELECT *
FROM test_ck_sync1_resQuery id: a666f893-5be9-4022-9327-3a1507aa5485┌────────────sys_time─┬─num─┐
│ 2024-01-01 00:00:01 │ 89 │
└─────────────────────┴─────┘
┌────────────sys_time─┬─num─┐
│ 2024-01-01 00:00:00 │ 88 │
└─────────────────────┴─────┘2 rows in set. Elapsed: 0.049 sec.从 ClickHouse 写入到 Kafka
kafka_writers_reader --(view)-- kafka_writers_queue --- 创建一个队列
bin/kafka-topics.sh --topic kafka_writers --create -bootstrap-server 127.0.0.1:9092 --partitions 1 --replication-factor 1创建同步表
CREATE TABLE kafka_writers_reader ( id Int, platForm String, appname String, time DateTime )
ENGINE Kafka SETTINGS kafka_broker_list 127.0.0.1:9092, kafka_topic_list kafka_writers_reader, kafka_group_name kafka_writers_reader_group, kafka_format CSV;CREATE TABLE kafka_writers_queue ( id Int, platForm String, appname String, time DateTime )
ENGINE Kafka SETTINGS kafka_broker_list 127.0.0.1:9092, kafka_topic_list kafka_writers, kafka_group_name kafka_writers_group, kafka_format CSV, kafka_max_block_size 1048576;测试1queue-ck-queue
通过写入队列kafka_writers_reader借助ClickHouse写入队列kafka_writers
bin/kafka-topics.sh --topic kafka_writers_reader --create -bootstrap-server 127.0.0.1:9092 --partitions 1 --replication-factor 1bin/kafka-console-producer.sh --broker-list 127.0.0.1:9092 --topic kafka_writers_readerbin/kafka-console-consumer.sh --bootstrap-server 127.0.0.1:9092 --topic kafka_writers测试2ck-queue
通过写入表kafka_writers_reader写入队列kafka_writers
$ :) INSERT INTO kafka_writers_reader (id, platForm, appname, time)
VALUES (8,Data,Test,2020-12-23 14:45:31),
(9,Plan,Test1,2020-12-23 14:47:32),
(10,Plan,Test2,2020-12-23 14:52:15),
(11,Data,Test3,2020-12-23 14:54:39);INSERT INTO kafka_writers_reader (id, platForm, appname, time) FORMAT ValuesQuery id: 223a63ab-97fa-488d-8ea7-c2e194155d26Ok.4 rows in set. Elapsed: 1.054 sec.
[$ kafka_2.13-3.6.1]# bin/kafka-console-consumer.sh --bootstrap-server 127.0.0.1:9092 --topic kafka_writers
8,Data,Test,1970-01-01 08:00:009,Plan,Test1,1970-01-01 08:00:0010,Plan,Test2,1970-01-01 08:00:0011,Data,Test3,1970-01-01 08:00:00如果喜欢我的文章的话可以去GitHub上给一个免费的关注吗
