要将ClickHouse表导出到S3，并且不使用LIMIT限制导出的行数，可以使用以下代码示例：

import boto3
from clickhouse_driver import Client

# ClickHouse连接配置
clickhouse_host = 'your-clickhouse-host'
clickhouse_user = 'your-clickhouse-username'
clickhouse_password = 'your-clickhouse-password'
clickhouse_database = 'your-clickhouse-database'
clickhouse_table = 'your-clickhouse-table'

# S3连接配置
s3_bucket = 'your-s3-bucket'
s3_key = 'your-s3-key'
s3_access_key = 'your-s3-access-key'
s3_secret_key = 'your-s3-secret-key'

# 实例化ClickHouse客户端
client = Client(host=clickhouse_host, user=clickhouse_user, password=clickhouse_password, database=clickhouse_database)

# 获取ClickHouse表的总行数
count_query = f'SELECT COUNT(*) FROM {clickhouse_table}'
result = client.execute(count_query)
total_rows = result[0][0]

# 分批导出数据
batch_size = 10000  # 每批导出的行数
offset = 0
while offset < total_rows:
    # 查询当前批次的数据
    query = f'SELECT * FROM {clickhouse_table} LIMIT {offset}, {batch_size}'
    result = client.execute(query)

    # 将数据写入S3
    s3 = boto3.client('s3', aws_access_key_id=s3_access_key, aws_secret_access_key=s3_secret_key)
    s3_data = '\n'.join([','.join(map(str, row)) for row in result])  # 将数据转换为CSV格式
    s3.put_object(Body=s3_data, Bucket=s3_bucket, Key=s3_key)

    # 更新偏移量
    offset += batch_size

上述代码使用了Python的boto3库来连接和操作S3，使用了clickhouse-driver库来连接和查询ClickHouse。在代码中，首先连接到ClickHouse数据库，然后执行COUNT查询以获取表的总行数。然后，使用分批的方式查询数据并导出到S3中。每次查询的偏移量（offset）和批次大小（batch_size）可以根据需要进行调整。