In the load process, if there are problems with the original data, we will store the error data in an error_log file on the disk for subsequent debugging. However, if there are many error data, it will occupy a lot of disk space. Now we want to limit the number of error data that is saved to the disk.
Be familiar with the usage of doris' import function and internal implementation process
Add a new be configuration item load_error_log_limit_bytes = default value 200MB
Use the newly added threshold to limit the amount of data that RuntimeState::append_error_msg_to_file writes to disk
Write regression cases for testing and verification
Co-authored-by: xy720 <22125576+xy720@users.noreply.github.com>
Co-authored-by: yiguolei <yiguolei@gmail.com>Add a new class broadcastbufferholderqueue to manage holders
Using shared ptr to manage holders, not use ref and unref, it is too difficult to maintain.
using weak ptr as a lock between fragment execute thread and scanner thread, to solve the core problem in scanner's dctor to access scannode's profile.
Refactor write path code by abstract base class. Whether to use `StorageEngine` or `CloudStorageEngine` will be determined during compilation instead of runtime `config::cloud_mode` to avoid unexpected null pointer or undefined behavior issues caused by merging code.
Class that depend on `StorageEngine` but are shared by the cloud mode need to have an abstract base class. Common code should be extracted into the base class, while the code that depends on `StorageEngine` should be implemented in a `StorageEngine` mix-in class of the base class.
* [DNM](decimal) use new way for decimal arithmetic precision promotion
* [improvement](decimal) [DNM](decimal) use new way for decimal arithmetic precision promotion
1. [DNM](decimal) use new way for decimal arithmetic precision promotion
2. throw exception if it overflows for decimal arithmetics
3. throw exception if it overflows when casting among number types
* fix compile error of gcc
* improvement
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Co-authored-by: morrySnow <morrysnow@126.com>
1. max compute partition prune,
we just support filter mc partitions by '='，it can filter just one partition
to support multiple partition filter and range operator('>','<', '>='..), the partition prune should be supported.
2. add max compute row count cache and partitionValues cache
3. add max compute regression case
