As discussed in 16107
Sometimes jvm would try to reduce the whole stack to just one line, it's kind of confusing for debugging.
Issue Number: close #xxx
1. Spark dpp
Move `DppResult` and `EtlJobConfig` to sparkdpp package in `fe-common` module.
So taht `fe-core` is longer depends on `spark-dpp` module, so that the `spark-dpp.jar`
will not be moved into `fe/lib`, which reduce the size of FE output.
2. Modify start_fe.sh
Modify the CLASSPATH to make sure that doris-fe.jar is at front, so that
when loading classes with same qualified name, it will be got from doris-fe.jar firstly.
3. Upgrade hadoop and hive version
hadoop: 2.10.2 -> 3.3.3
hive: 2.3.7 -> 3.1.3
4. Override the IHiveMetastoreClient implementations from dependency
`ProxyMetaStoreClient.java` for Aliyun DLF.
`HiveMetaStoreClient.java` for origin Apache Hive metastore.
Because I need to modified some of their method to make them compatible with
different version of Hive.
5. Exclude some unused dependencies to reduce the size of FE output
Now it is only 370MB (Before is 600MB)
6. Upgrade aws-java-sdk version to 1.12.31
7. Support AWS Glue Data Catalog
8. Remove HudiScanNode(no longer support)
We set heap limit for tcmalloc to avoid oom introduced by tcmalloc which allocates memory for cache even free memory of a machine is little. However, doris allocates large memory unused in some cases, so tcmalloc would throw an oom exception even ther are a lot free memory in a machine.
We can set the limit after we fix the problem again.
# Proposed changes
This PR fixed lots of issues when building from source on macOS with Apple M1 chip.
## ATTENTION
The job for supporting macOS with Apple M1 chip is too big and there are lots of unresolved issues during runtime:
1. Some errors with memory tracker occur when BE (RELEASE) starts.
2. Some UT cases fail.
...
Temporarily, the following changes are made on macOS to start BE successfully.
1. Disable memory tracker.
2. Use tcmalloc instead of jemalloc.
This PR kicks off the job. Guys who are interested in this job can continue to fix these runtime issues.
## Use case
```shell
./build.sh -j 8 --be --clean
cd output/be/bin
ulimit -n 60000
./start_be.sh --daemon
```
## Something else
It takes around _**10+**_ minutes to build BE (with prebuilt third-parties) on macOS with M1 chip. We will improve the development experience on macOS greatly when we finish the adaptation job.
This is an example of s3 hms_catalog:
```sql
CREATE CATALOG hms_catalog properties(
"type" = "hms",
"hive.metastore.uris"="thrift://localhost:9083",
"AWS_ACCESS_KEY" = "your access key",
"AWS_SECRET_KEY"="your secret key",
"AWS_ENDPOINT"="s3 endpoint",
"AWS_REGION"="s3-region",
"fs.s3a.paging.maximum"="1000");
```
All these params are necessary;
This feature is propsoed in [DSIP-1](https://cwiki.apache.org/confluence/display/DORIS/DSIP-001%3A+Java+UDF).
This PR support fixed-length input and output Java UDF. Phase I in DIP-1 is done after this PR.
To support Java UDF effeciently, I use no data copy in JNI call and all compute operations are off-heap in Java.
To achieve that, I use a UdfExecutor instead.
For users, a UDF class must have a public evaluate method.
This is a minor issue when we had FE start after a fresh installation,
but it will occur an error about the log directory is missing due to log directory is not existed
before some environment check message outputing to the log file.
the log directory creation code in bin/start_fe.sh is in the wrong place,
only need to put the log directory creation code in the beginning.
1. Fix error class in start_fe.sh and start_broker.sh.
2. Add log4j2.xml in fe/src/test/resources/ to run fe ut without log4j warnings.
3. Reduce the test file size in be ut.
