jackLoveDota

这是脱敏后的配置文件，有那么用过的能帮忙解决下，解决后留地址，打 100u 给大佬买咖啡，谢谢了

```
env {
execution.parallelism = 8
job.mode = "STREAMING"
# 检查点配置
checkpoint.interval = 60000
# 支持多次运行
restart.strategy = "fixed-delay"
restart.attempts = 3
}
source {
# MySQL 源表配置
MySQL-CDC {
result_table_name = "mysql_source"
server-id = 5400-5408
hostname = "localhost"
port = 3306
username = "root"
password = "root"
database-name = "abc"
# t_test 每天数据量 1000w ，按照天为纬度分表，这里合并到 clickhouse ，聚合成一张表，方便统计，是否合理？
table-names = ["abc.t_test","abc.t_test_*"]
base-url = "jdbc:mysql://localhost:3306/abc"
# 需要全量+增量
startup.mode = "INITIAL"
driver = "com.mysql.cj.jdbc.Driver"
# CDC 配置
monitor.interval = 1000
chunk.size = 32768
exactly-once = true
# 并行读取配置
split.size = 50000
split.even-distribution.factor.lower-bound = 0.05
split.even-distribution.factor.upper-bound = 0.95
# 并行读取优化
connection.pool.size = 8 # 增加连接池大小
fetch.size = 10000 # 增加每次获取的记录数

# 启用批量模式
enable.batch = true
batch.size = 10000

# 记录同步位点
offset.storage = "filesystem"
offset.storage.path = "/tmp/seatunnel/offset"
}
}
transform {
Sql {
query = """
SELECT
id,
CASE
WHEN statistic_finished = 1 THEN 1
ELSE 0
END as statistic_finished,
ip,
created_at,
updated_at
FROM mysql_source
"""
}
}
sink {
Clickhouse {
# ClickHouse Cloud 连接配置
host = "xxx.clickhouse.cloud:8443"
database = "local_test"
table = "t_test"
username = "default"
password = "123456"
# 表操作配置
primary_key = "id"
# 针对公网延迟优化的写入配置
bulk_size = 5000 # 考虑网络延迟，稍微减小批量
flush_interval = 5000 # 增加刷新间隔
# 重试配置
retry_codes = [429, 500, 503]
max_retries = 5
retry_interval = 10000
# 超时配置
connect_timeout = 60000
socket_timeout = 300000
# 连接池配置
connection_pool {
max_size = 16
core_size = 8
min_evictable_idle_time_millis = 300000
}
# 写入优化
enable_partition = true
partition_strategy = "balanced"
# 压缩配置
compression = true
compression_type = "gzip"
# 时区设置
server_time_zone = "UTC"
}
}
```

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支持一下，试用下

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中奖中奖