stage('build dependence') { steps{ sh ''' mvn clean install -Dautoconfig.skip=true -Dmaven.test.skip=false -Dmaven.test.failure.ignore=true ''' echo 'build dependence success' }
时间: 2024-01-10 15:03:39 浏览: 137
您的第一个问题是关于构建依赖的脚本的问题。这段代码是一个Jenkins Pipeline中的构建阶段,并且使用了Maven来构建项目的依赖。
在这段代码中,首先使用`mvn clean install`命令来清理项目并且安装依赖。其中,`-Dautoconfig.skip=true`参数用于跳过自动配置,`-Dmaven.test.skip=false`参数用于执行测试,`-Dmaven.test.failure.ignore=true`参数用于忽略测试失败。
最后,通过`echo 'build dependence success'`命令输出构建依赖成功的信息。
请问有什么其他问题我可以帮助您解答吗?
相关问题
``` CONFIG := ../../config/Makefile.config CONFIG_LOCAL := ./config/Makefile.config include $(CONFIG) include $(CONFIG_LOCAL) BUILD_PATH := build SRC_PATH := src/cpp INC_PATH := include CUDA_DIR := /usr/local/cuda-$(CUDA_VER) CXX_SRC += $(wildcard $(SRC_PATH)/*.cpp) KERNELS_SRC := $(wildcard $(SRC_PATH)/*.cu) APP_OBJS := $(patsubst $(SRC_PATH)%, $(BUILD_PATH)%, $(CXX_SRC:.cpp=.cpp.o)) APP_OBJS += $(patsubst $(SRC_PATH)%, $(BUILD_PATH)%, $(KERNELS_SRC:.cu=.cu.o)) APP_MKS := $(APP_OBJS:.o=.mk) APP_DEPS := $(CXX_SRC) APP_DEPS += $(KERNELS_SRC) APP_DEPS += $(wildcard $(SRC_PATH)/*.h) CUCC := $(CUDA_DIR)/bin/nvcc CXXFLAGS := -std=c++11 -pthread -fPIC CUDAFLAGS := --shared -Xcompiler -fPIC INCS := -I $(CUDA_DIR)/include \ -I $(SRC_PATH) \ -I $(OPENCV_INSTALL_DIR) \ -I $(TENSORRT_INSTALL_DIR)/include \ -I $(INC_PATH) LIBS := -L "$(CUDA_DIR)/lib64" \ -L "$(TENSORRT_INSTALL_DIR)/lib" \ -lcudart -lcublas -lcudnn \ -lnvinfer -lnvonnxparser\ -lstdc++fs \ `pkg-config --libs opencv4` ifeq ($(DEBUG),1) CUDAFLAGS += -g -O0 CXXFLAGS += -g -O0 else CUDAFLAGS += -O3 CXXFLAGS += -O3 endif ifeq ($(SHOW_WARNING),1) CUDAFLAGS += -Wall -Wunused-function -Wunused-variable -Wfatal-errors CXXFLAGS += -Wall -Wunused-function -Wunused-variable -Wfatal-errors else CUDAFLAGS += -w CXXFLAGS += -w endif ifeq (, $(shell which bear)) BEARCMD := else ifeq (bear 3.0.18, $(shell bear --version)) BEARCMD := bear --output config/compile_commands.json -- else BEARCMD := bear -o config/compile_commands.json endif endif all: @mkdir -p bin @$(BEARCMD) $(MAKE) --no-print-directory $(APP) @echo finished building $@. Have fun!! run: @$(MAKE) --no-print-directory update @./bin/$(APP) update: $(APP) @echo finished updating $< $(APP): $(APP_DEPS) $(APP_OBJS) @$(CXX) $(APP_OBJS) -o bin/$@ $(LIBS) $(INCS) show: @echo $(BUILD_PATH) @echo $(APP_DEPS) @echo $(INCS) @echo $(APP_OBJS) @echo $(APP_MKS) clean: rm -rf $(APP) rm -rf build rm -rf config/compile_commands.json rm -rf bin ifneq ($(MAKECMDGOALS), clean) -include $(APP_MKS) endif # Compile CXX $(BUILD_PATH)/%.cpp.o: $(SRC_PATH)/%.cpp @echo Compile CXX $@ @mkdir -p $(BUILD_PATH) @$(CXX) -o $@ -c $< $(CXXFLAGS) $(INCS) $(BUILD_PATH)/%.cpp.mk: $(SRC_PATH)/%.cpp @echo Compile Dependence CXX $@ @mkdir -p $(BUILD_PATH) @$(CXX) -M $< -MF $@ -MT $(@:.cpp.mk=.cpp.o) $(CXXFLAGS) $(INCS) # Compile CUDA $(BUILD_PATH)/%.cu.o: $(SRC_PATH)/%.cu @echo Compile CUDA $@ @mkdir -p $(BUILD_PATH) @$(CUCC) -o $@ -c $< $(CUDAFLAGS) $(INCS) $(BUILD_PATH)/%.cu.mk: $(SRC_PATH)%.cu @echo Compile Dependence CUDA $@ @mkdir -p $(BUILD_PATH) @$(CUCC) -M $< -MF $@ -MT $(@:.cu.mk=.cu.o) $(CUDAFLAGS) .PHONY: all update show clean```解释一下每一行什么意思
该Makefile配置文件用于编译C++与CUDA源码项目,并集成了多个库以及工具链选项。下面是对每一部分含义的解析:
- 定义变量:
```makefile
CONFIG := ../../config/Makefile.config
CONFIG_LOCAL := ./config/Makefile.config
include $(CONFIG)
include $(CONFIG_LOCAL)
```
设置并引入两个配置文件路径,分别为全局配置和本地覆盖配置[^1]。
- 设置构建参数:
```makefile
BUILD_PATH := build
SRC_PATH := src/cpp
INC_PATH := include
CUDA_DIR := /usr/local/cuda-$(CUDA_VER)
```
定义了项目的构建目录、源代码存放位置、头文件所在位置及CUDA安装根目录[^1]。
- 源文件收集规则:
```makefile
CXX_SRC += $(wildcard $(SRC_PATH)/*.cpp)
KERNELS_SRC := $(wildcard $(SRC_PATH)/*.cu)
APP_OBJS := $(patsubst $(SRC_PATH)%, $(BUILD_PATH)%, $(CXX_SRC:.cpp=.cpp.o))
APP_OBJS += $(patsubst $(SRC_PATH)%, $(BUILD_PATH)%, $(KERNELS_SRC:.cu=.cu.o))
APP_DEPS := $(CXX_SRC)
APP_DEPS += $(KERNELS_SRC)
APP_DEPS += $(wildcard $(SRC_PATH)/*.h)
```
自动查找指定路径下的所有`.cpp` 和 `.cu` 文件作为源文件;转换这些源文件名以生成对应的中间目标(即object files),并将它们存放在构建目录下;最后添加依赖项包括所有的头文件[^1]。
- 编译器及相关标志设定:
```makefile
CUCC := $(CUDA_DIR)/bin/nvcc
CXXFLAGS := -std=c++11 -pthread -fPIC
CUDAFLAGS := --shared -Xcompiler -fPIC
INCS := -I $(CUDA_DIR)/include \
-I $(SRC_PATH) \
-I $(OPENCV_INSTALL_DIR) \
-I $(TENSORRT_INSTALL_DIR)/include \
-I $(INC_PATH)
LIBS := -L "$(CUDA_DIR)/lib64" \
-L "$(TENSORRT_INSTALL_DIR)/lib" \
-lcudart -lcublas -lcudnn \
-lnvinfer -lnvonnxparser\
-lstdc++fs \
`pkg-config --libs opencv4`
```
指定了CUDA编译命令的位置和其他一些重要的编译标记如标准版本(-std),线程支持(-pthread),位置无关代码(-fPIC)等;还设定了所需的搜索路径(INCS)以便找到必要的头文件,并列出了链接阶段使用的静态或共享库(LIBS)[^1]。
- 调试模式判断:
```makefile
ifeq ($(DEBUG),1)
CUDAFLAGS += -g -O0
CXXFLAGS += -g -O0
else
CUDAFLAGS += -O3
CXXFLAGS += -O3
endif
```
如果设置了环境变量DEBUG,则开启调试信息-g关闭优化-O0;否则使用最高级别的优化-O3来提升性能[^1]。
- 控制警告显示与否:
```makefile
ifeq ($(SHOW_WARNING),1)
CUDAFLAGS += -Wall -Wunused-function -Wunused-variable -Wfatal-errors
CXXFLAGS += -Wall -Wunused-function -Wunused-variable -Wfatal-errors
else
CUDAFLAGS += -w
CXXFLAGS += -w
endif
```
当启用警示时,增加详细的编译期警告选项;反之则屏蔽掉所有非致命性的告警消息-w[^1]。
- Bear 工具检测与调用逻辑:
```makefile
ifeq (, $(shell which bear))
BEARCMD :=
else
ifeq (bear 3.0.18, $(shell bear --version))
BEARCMD := bear --output config/compile_commands.json --
else
BEARCMD := bear -o config/compile_commands.json
endif
endif
```
先检查系统内是否存在Bear工具及其具体版本号,根据不同的情况构造适当的命令行参数字符串[^1]。
- 主要任务描述符(`target`):
```makefile
all:
@mkdir -p bin
@$(BEARCMD) $(MAKE) --no-print-directory $(APP)
@echo finished building $@. Have fun!!
run:
@$(MAKE) --no-print-directory update
@./bin/$(APP)
update: $(APP)
@echo finished updating $<
$(APP): $(APP_DEPS) $(APP_OBJS)
@$(CXX) $(APP_OBJS) -o bin/$@ $(LIBS) $(INCS)
show:
@echo $(BUILD_PATH)
@echo $(APP_DEPS)
@echo $(INCS)
@echo $(APP_OBJS)
@echo $(APP_MKS)
clean:
rm -rf $(APP)
rm -rf build
rm -rf config/compile_commands.json
rm -rf bin
```
这里定义了几种常见的操作行为,比如创建可执行程序(all),运行应用程序(run),更新已有二进制(update),展示当前的一些内部状态(show),清理之前产生的结果(clean)[^1]。
- 规定每个具体的.cpp/.cu文件如何转化为对应的目标文件(.cpp.o,.cu.o):
```makefile
# Compile CXX
$(BUILD_PATH)/%.cpp.o: $(SRC_PATH)/%.cpp
@echo Compile CXX $@
@mkdir -p $(BUILD_PATH)
@$(CXX) -o $@ -c $< $(CXXFLAGS) $(INCS)
$(BUILD_PATH)/%.cpp.mk: $(SRC_PATH)/%.cpp
@echo Compile Dependence CXX $@
@mkdir -p $(BUILD_PATH)
@$(CXX) -M $< -MF $@ -MT $(@:.cpp.mk=.cpp.o) $(CXXFLAGS) $(INCS)
# Compile CUDA
$(BUILD_PATH)/%.cu.o: $(SRC_PATH)/%.cu
@echo Compile CUDA $@
@mkdir -p $(BUILD_PATH)
@$(CUCC) -o $@ -c $< $(CUDAFLAGS) $(INCS)
$(BUILD_PATH)/%.cu.mk: $(SRC_PATH)%.cu
@echo Compile Dependence CUDA $@
@mkdir -p $(BUILD_PATH)
@$(CUCC) -M $< -MF $@ -MT $(@:.cu.mk=.cu.o) $(CUDAFLAGS)
```
对于每一个匹配上述模式的源文件,在实际执行过程中会依据相应的编译指令来进行预处理、编译等工作[^1]。
select t.id ,t.parent, t.name ,t.begin ,t.end , t.ACTUAL_START , t.ACTUAL_FINISH, t.TASK_UNIQUE_NO, t.NO, t.SUMMARY, t.DEPENDENCE, t.PRIORITY, t.EXEC_STAT, t.DURATION, t.COMP_PCT,ASSIGNER,POSITION,PRINCIPAL,PRINCIPAL_NAME,ORG_NAME,MGR_LINE,ERJIGUANXIAN,SFSJYS,SFNDJH, t.CRITICAL,t.PROJ_NO,t.SRC_TID,t.ASSIGNER_AUTH,t.POSITION_NAME,t.ASSIGNER_NAME,t.PRIN_ORG,t.ORG,t.SRC_SYS,t.CREATE_USER, t.TASK_NO,tp.id as typ,tp.name as typname,t.SETTLETYPECODE as SETTLETYPECODE,'' as remark,'' as type,t.OATASKID as OATASKID,t.QIQU,t.DESCRIBE, S.DESCRIPTION,ontheway_type,T.SHIFOUXXJDHB,up.update_date optime,submit,t.AUDITOR,t.AUDITOR_NO,t.proj_name,tp.filter_type,t.plan,t.MATTER_SRC,t.Prepose_task,t.shixiangbiaoqian, t.SETTLE_LEVEL,tp.specail_name,t.audit_unit,t.rectify_question_type,t.project_data_processor,t.project_data_processor_name, CASE WHEN t.EXEC_STAT not IN ('30','31','32','33','34','41','55') and ( up.STAT = 'OP' or up.STAT = 'I') then 'relay' when t.EXEC_STAT not IN ('30','31','32','33','34','41','55') and up.STAT = 'U' and up.FINISH ='Y' and up.rel = '1' AND up.RID is not null then 'finish' when t.EXEC_STAT not IN ('30','31','32','33','34','41','55') and up.STAT = 'U' and up.DELAY ='Y' and up.rel = '1' AND up.RID is not null then 'delay' when t.EXEC_STAT not IN ('30','31','32','33','34','41','55') and up.STAT = 'U' and up.TERMINATE ='P' and up.rel = '1' AND up.RID is not null then 'terminate' else null end as approve_type, up.user_id as approver from t_master_task t left join t_task_2_task_typ p on t.id = p.task left join t_task_typ tp on tp.id = p.typ left join t_slave_task s on s.id=t.id left join (select * from (select a.*,row_number() over(partition by task order by update_date desc) rm from t_user_task_upd_stat a) where rm = 1) up on t.id = up.task; 这sql怎么优化
这是一个很复杂的SQL语句,有很多的表连接和子查询,所以要优化的话需要从很多方面入手。
首先,对于表的连接,可以使用索引来提高查询效率,具体可以在被连接的字段上建立索引。
其次,对于子查询,可以考虑将其改写为关联查询的形式,这样可以避免子查询带来的性能开销。
此外,在查询中使用了很多的函数,例如row_number()和over(),这些函数的计算也会消耗查询性能。如果可以的话,可以尽量避免使用这些函数。
总的来说,优化SQL语句需要从多方面入手,还需要根据具体情况进行分析和优化。
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