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impala/.gitignore
Xiang Yang 8af0ce8ed6 IMPALA-13001: Support graceful and force shutdown for impala.sh
This patch add graceful and force shutdown support for impala.sh.

This patch also keep the stdout and stderr log when startup.

This patch also fix some bugs in the impala.sh, including:
 - empty service name check.
 - restart command cannot work.

Testing:
 - Manually deploy package on Ubuntu22.04 and verify it.

Change-Id: Ib7743234952ba6b12694ecc68a920d59fea0d4ba
Reviewed-on: http://gerrit.cloudera.org:8080/21297
Reviewed-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
2024-07-15 12:03:18 +00:00

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*~
*.pyc
derby.log
compile_commands.json
cscope.files
cscope.out
cscope.in.out
cscope.po.out
org.eclipse.jdt.core.prefs
org.eclipse.jdt.ui.prefs
*benchmark_results.csv*
load-*-generated.sql
bin/version.info
bin/impala-config-local.sh
.cache
.cdh
.cdp
.pep8
apache-maven-*-bin.tar.gz
# distcc options
.impala_compiler_opts*
pprof.out
TempStatsStore
# CMake:
Makefile
CMakeCache.txt
CMakeFiles
cmake_install.cmake
CTestTestfile.cmake
!CMakeLists.txt
.cmake_build_type
.ninja_deps
.ninja_log
build.ninja
rules.ninja
CMakeDoxyfile.in
CMakeDoxygenDefaults.cmake
CPackConfig.cmake
CPackSourceConfig.cmake
_CPack_Packages
install_manifest.txt
package/build/
# Build timestamp files
.*timestamp
# Docker generated files
docker/build_context
docker/docker-images.txt
Testing/
llvm-ir/
benchmark_results*.json
target
avro_schemas/
logs/
# Impala toolchain directory
toolchain/
# Core dumps and crash reports
core
core.*
hs_err_pid*.log
# Binaries disallowed by ASF rules
*.jar
*.so
# Vim related files
.swp
.*.swn
.*.swm
.*.swo
.*.swp
.vimrc
# GDB default log file
gdb.txt
.gdbinit
# IntelliJ artifacts
.idea
*.iml
*.ipr
*.iws
# OS X Artifacts
.DS_Store
# Eclipse
.cproject
.project
.classpath
.settings
eclipse-classes/
.pydevproject
# Visual Studio Code artifacts
.vscode/
# Debugging
ad-hoc.test
nohup.out
# Python virtualenvs
gerrit_critic_venv
# Output of single_node_perf_run.py
perf_results/