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I need to make a library for a customer who is using GCC. I have a working Keil project compiled with the GCC. The next step is to make a library. I removed from the project main file and Keil generated libname.a library file. Now I want to create a new project with the same main and libname.a library. I'm failing to do so. I added this library to Options/Linker tab, added library path and getting "c:/gnu arm embedded toolchain/10p3_2021_10/bin/../lib/gcc/arm-none-eabi/10.3.1/../../../../arm-none-eabi/bin/ld.exe: cannot find -llibname.a Here is all the options/flags:

-mcpu=cortex-m4 -mthumb -o ./DebugConfig/name_main.elf -L ./DebugConfig *.o -llibname.a -mcpu=cortex-m4 --specs=nosys.specs -Wl,--gc-sections -static -Wl,--start-group -Wl,--end-group --specs=nano.specs -mthumb -Wl,--start-group -lc -lm -Wl,--end-group

Thank you in advance.

In my react app I have 4 separate config files for 4 different environments to run in, test for unit tests, dev use while developing, staging for the staging environment (almost identical to prod) and prod for the actual customer facing production server.
One setting of those config files is the api address (127.0.0.1:7777 for dev, api.staging-app.com for staging, api.app.com for prod.

React will use the config file corresponding to the REACT_APP_NODE_ENV variable. But I have recently noticed that react will always bundle ever config file to be discovered by nosy users.

Since I would like to keep the location of the staging server secret (its still protected, even if it were discovered), I would like to exclude all the unused config files from the webpack build. Is there a way to do this?

So I can't get Android Studio to open through the studio64.exe launcher.

It was working perfectly just a few days ago and now it won't launch. Tried uninstalling and installing the latest Bumblebee 2021.1 with no luck. Tried deleting the Android studio files in AppData but still no luck. Even tried reverting to an older restore point with no success.

I have already set JDK_HOME and JAVA_HOME to the included Android Studio jre. After doing this the app now launches by running studio.bat but the actual launcher still fails. It just shows up for a brief second in Task Manager then disappears. No error messages or anything, just blank.

The weird thing is that I also have Intellij IDEA but that launches perfectly fine through it's launcher. Just Android Studio that is giving me issues.

Any help will be appreciated!

Edit: Attaching the log from the IDE.

I'm trying to integrate some third-party library to my project. I compile all my files with no problems, but when i try to add custom library, all constants in this library becomes garbage.

Here is my linker command (split over lines for readability):

I am installing Kibana and elasticsearch version 7.15.1 as per instructions mentioned in the link Install Kibana with Docker

The commands I am using are

I am using elasticsearch 5.6.13 version, I need some experts configurations for the elasticsearch. I have 3 nodes in the same system (node1,node2,node3) where node1 is master and else 2 data nodes. I have number of indexes around 40, I created all these indexes with default 5 primary shards and some of them have 2 replicas. What I am facing the issue right now, My data (scraping) is growing day by day and I have 400GB of the data in my one of index. similarly 3 other indexes are also very loaded. From some last days I am facing the issue while insertion of data my elasticsearch hangs and then the service is killed which effect my processing. I have tried several things. I am sharing the system specs and current ES configuration + logs. Please suggest some solution.

The System Specs: RAM: 160 GB, CPU: AMD EPYC 7702P 64-Core Processor, Drive: 2 TB SSD (The drive in which the ES installed still have 500 GB left)

ES Configuration JVM options: -Xms26g, -Xmx26g (I just try this but not sure what is the perfect heap size for my scenario) I just edit this above lines and the rest of the file is as defult. I edit this on all three nodes jvm.options files.

ES LOGS

[2021-09-22T12:05:17,983][WARN ][o.e.m.j.JvmGcMonitorService] [sashanode1] [gc][170] overhead, spent [7.1s] collecting in the last [7.2s] [2021-09-22T12:05:21,868][WARN ][o.e.m.j.JvmGcMonitorService] [sashanode1] [gc][171] overhead, spent [3.7s] collecting in the last [1.9s] [2021-09-22T12:05:51,190][WARN ][o.e.m.j.JvmGcMonitorService] [sashanode1] [gc][172] overhead, spent [27.7s] collecting in the last [23.3s] [2021-09-22T12:06:54,629][WARN ][o.e.m.j.JvmGcMonitorService] [cluster_name] [gc][173] overhead, spent [57.5s] collecting in the last [1.1m] [2021-09-22T12:06:56,536][WARN ][o.e.m.j.JvmGcMonitorService] [cluster_name] [gc][174] overhead, spent [1.9s] collecting in the last [1.9s] [2021-09-22T12:07:02,176][WARN ][o.e.m.j.JvmGcMonitorService] [cluster_name] [gc][175] overhead, spent [5.4s] collecting in the last [5.6s] [2021-09-22T12:06:56,546][ERROR][o.e.i.e.Engine ] [cluster_name] [index_name][3] merge failed java.lang.OutOfMemoryError: Java heap space

[2021-09-22T12:06:56,548][ERROR][o.e.b.ElasticsearchUncaughtExceptionHandler] [cluster_name] fatal error in thread [elasticsearch[cluster_name][bulk][T#25]], exiting java.lang.OutOfMemoryError: Java heap space

Some more logs

[2021-09-22T12:10:06,526][INFO ][o.e.n.Node ] [cluster_name] initializing ... [2021-09-22T12:10:06,589][INFO ][o.e.e.NodeEnvironment ] [cluster_name] using [1] data paths, mounts [[(D:)]], net usable_space [563.3gb], net total_space [1.7tb], spins? [unknown], types [NTFS] [2021-09-22T12:10:06,589][INFO ][o.e.e.NodeEnvironment ] [cluster_name] heap size [1.9gb], compressed ordinary object pointers [true] [2021-09-22T12:10:07,239][INFO ][o.e.n.Node ] [cluster_name] node name [sashanode1], node ID [2p-ux-OXRKGuxmN0efvF9Q] [2021-09-22T12:10:07,240][INFO ][o.e.n.Node ] [cluster_name] version[5.6.13], pid[57096], build[4d5320b/2018-10-30T19:05:08.237Z], OS[Windows Server 2019/10.0/amd64], JVM[Oracle Corporation/Java HotSpot(TM) 64-Bit Server VM/1.8.0_261/25.261-b12] [2021-09-22T12:10:07,240][INFO ][o.e.n.Node ] [cluster_name] JVM arguments [-Xms2g, -Xmx2g, -XX:+UseConcMarkSweepGC, -XX:CMSInitiatingOccupancyFraction=75, -XX:+UseCMSInitiatingOccupancyOnly, -XX:+AlwaysPreTouch, -Xss1m, -Djava.awt.headless=true, -Dfile.encoding=UTF-8, -Djna.nosys=true, -Djdk.io.permissionsUseCanonicalPath=true, -Dio.netty.noUnsafe=true, -Dio.netty.noKeySetOptimization=true, -Dio.netty.recycler.maxCapacityPerThread=0, -Dlog4j.shutdownHookEnabled=false, -Dlog4j2.disable.jmx=true, -Dlog4j.skipJansi=true, -XX:+HeapDumpOnOutOfMemoryError, -Delasticsearch, -Des.path.home=D:\Databases\ES\elastic and kibana 5.6.13\es_node_1, -Des.default.path.logs=D:\Databases\ES\elastic and kibana 5.6.13\es_node_1\logs, -Des.default.path.data=D:\Databases\ES\elastic and kibana 5.6.13\es_node_1\data, -Des.default.path.conf=D:\Databases\ES\elastic and kibana 5.6.13\es_node_1\config, exit, -Xms2048m, -Xmx2048m, -Xss1024k]

Also in my ES folder there are so many files with the random names (java_pid197036.hprof) Further details can be shared please suggest any further configurations. Thanks

The output for _cluster/stats?pretty&human is

{ "_nodes": { "total": 3, "successful": 3, "failed": 0 }, "cluster_name": "cluster_name", "timestamp": 1632375228033, "status": "red", "indices": { "count": 42, "shards": { "total": 508, "primaries": 217, "replication": 1.3410138248847927, "index": { "shards": { "min": 2, "max": 60, "avg": 12.095238095238095 }, "primaries": { "min": 1, "max": 20, "avg": 5.166666666666667 }, "replication": { "min": 1.0, "max": 2.0, "avg": 1.2857142857142858 } } }, "docs": { "count": 107283077, "deleted": 1047418 }, "store": { "size": "530.2gb", "size_in_bytes": 569385384976, "throttle_time": "0s", "throttle_time_in_millis": 0 }, "fielddata": { "memory_size": "0b", "memory_size_in_bytes": 0, "evictions": 0 }, "query_cache": { "memory_size": "0b", "memory_size_in_bytes": 0, "total_count": 0, "hit_count": 0, "miss_count": 0, "cache_size": 0, "cache_count": 0, "evictions": 0 }, "completion": { "size": "0b", "size_in_bytes": 0 }, "segments": { "count": 3781, "memory": "2gb", "memory_in_bytes": 2174286255, "terms_memory": "1.7gb", "terms_memory_in_bytes": 1863786029, "stored_fields_memory": "105.6mb", "stored_fields_memory_in_bytes": 110789048, "term_vectors_memory": "0b", "term_vectors_memory_in_bytes": 0, "norms_memory": "31.9mb", "norms_memory_in_bytes": 33527808, "points_memory": "13.1mb", "points_memory_in_bytes": 13742470, "doc_values_memory": "145.3mb", "doc_values_memory_in_bytes": 152440900, "index_writer_memory": "0b", "index_writer_memory_in_bytes": 0, "version_map_memory": "0b", "version_map_memory_in_bytes": 0, "fixed_bit_set": "0b", "fixed_bit_set_memory_in_bytes": 0, "max_unsafe_auto_id_timestamp": 1632340789677, "file_sizes": { } } }, "nodes": { "count": { "total": 3, "data": 3, "coordinating_only": 0, "master": 1, "ingest": 3 }, "versions": [ "5.6.13" ], "os": { "available_processors": 192, "allocated_processors": 96, "names": [ { "name": "Windows Server 2019", "count": 3 } ], "mem": { "total": "478.4gb", "total_in_bytes": 513717497856, "free": "119.7gb", "free_in_bytes": 128535437312, "used": "358.7gb", "used_in_bytes": 385182060544, "free_percent": 25, "used_percent": 75 } }, "process": { "cpu": { "percent": 5 }, "open_file_descriptors": { "min": -1, "max": -1, "avg": 0 } }, "jvm": { "max_uptime": "1.9d", "max_uptime_in_millis": 167165106, "versions": [ { "version": "1.8.0_261", "vm_name": "Java HotSpot(TM) 64-Bit Server VM", "vm_version": "25.261-b12", "vm_vendor": "Oracle Corporation", "count": 3 } ], "mem": { "heap_used": "5gb", "heap_used_in_bytes": 5460944144, "heap_max": "5.8gb", "heap_max_in_bytes": 6227755008 }, "threads": 835 }, "fs": { "total": "1.7tb", "total_in_bytes": 1920365228032, "free": "499.1gb", "free_in_bytes": 535939969024, "available": "499.1gb", "available_in_bytes": 535939969024 }, "plugins": [ ], "network_types": { "transport_types": { "netty4": 3 }, "http_types": { "netty4": 3 } } } }

The jvm.options file.

I'm at a loss and cant think of how to even google this.

I'm building a MERN fullstack app as my very first solo project. Someone told me it was too big (they were right) that I would get burned out (I am). Well, Jokes on them. They were right.

I have the server responding with a list of like, 4 users info from a database of like 4 users as a test. This is set up as a useEffect on the front end, not sure if that helps, people have told me it shouldnt have an effect on it.

it works only half the time, if not less than that. Other times the server crashes like my Dogecoin investment, saying I've already used res.send, which makes me want to throw my computer and monitors out my window and scare my neighbor downstairs, which wouldnt be as bad since shes nosy as hell and always comments on my mail and thinks shes my mail man.

Heres the Error on the Server Console

We're having issues with Elasticsearch crashing from time to time. It also sometimes spikes up RAM + CPU and server becomes unresponsive.

We have left most of the settings as is, but had to add more RAM to JVM heap (48GB) to get it not to crash frequently.

I started digging and apparently 32GB is the max you should be using. We'll tweak that.

The server is:

Gooday everybody.

For a week I've been unsuccessfully trying to spin an elastic cluster on the latest k3s v1.21.3+k3s1. Both bitnami/elasticsearch and elastic elastic/elasticsearch don't work although with different errors.

The thing is I've tried to spin an elastic cluster in a k3s on absolutely clean VMs:

• Ubuntu 20.04
• Ubuntu 21.04
• Debian 10.10
• from 1 core cpu, 4Gb of RAM and 30Gb storage to 4 cpu, 16Gb and 60Gb storage(at first I thought I might be a requirements issue)
• from 1 node to a full k3s cluster with 3 nodes

At the same time, both charts span like a charm the first time I tried them inside minikube. All the config always default. Please help, I've lost hope...

Here is an error log of a master pod from the bitnami/elasticsearch chart: