kandi X-RAY | javaUtils Summary
kandi X-RAY | javaUtils Summary
sum up the util package in the Java language.
Top functions reviewed by kandi - BETA
- Upload file
- Upload directory
- Set key value
- Create a remote file
- Upload directory
- Parses parameters
- Set redis
- Get current date before date
- Get the date before the given interval
- Set object
- Set an object
- Get weekday list
- Setex for key
- Get scard
- Returns the set difference
- Get MD5 string
- Get month date
- Set a set of keys
- Method to get the set of strings
- Convert a txt file to a String
- Parse log level
- Sort the targetList
- Convert time to seconds
- Get server IP
- Store string
javaUtils Key Features
javaUtils Examples and Code Snippets
Trending Discussions on javaUtils
I’m trying to integrate spark(3.1.1) and hive local metastore (3.1.2) to use spark-sql.
i configured the spark-defaults.conf according to https://spark.apache.org/docs/latest/sql-data-sources-hive-tables.html and hive jar files exists in correct path.
but an exception occurred when execute 'spark.sql("show tables").show' like below.
any mistakes, hints, or corrections would be appreciated....
ANSWERAnswered 2021-May-21 at 07:25
Seems your hive conf is missing. To connect to hive metastore you need to copy the hive-site.xml file into spark/conf directory.
i am getting this error when i do spark submit. java.lang.IllegalArgumentException: Can not create a Path from an empty string i am using spark version 2.4.7 hadoop version 3.3.0 intellji ide jdk 8 first i was getting class not found error which i solved now i am getting this error Is it because of the dataset or something else. https://www.kaggle.com/datasnaek/youtube-new?select=INvideos.csv link to dataset
ANSWERAnswered 2021-May-04 at 06:03
It just seems as
output_dir variable contains incorrect path:
we have usecase of presto hive accessing s3 file present in avro format. When we try to use standalone hive-metastore and read this avro data using external table ,we are getting issue SerDeStorageSchemaReader class not found issue...
ANSWERAnswered 2020-Dec-15 at 20:43
standalone hive doesnt support avro. we need to install full hadoop plus hive version and start only hive metastore to fix it
I am trying to design a thread pool at my end in java. As per my design I am using a java's Linkedlist DS inside a main runner thread class to hold on to all the submitted tasks. This task list is getting updated from the main class wherein the main class is adding a tasks to the task list. Inside my main runner thread I am running a while loop and constantly checking for whether the LinkedList is not empty , and if it contains a task then i am retrieving the task and executing it.
The problem here is that I have added a task from my main method in to the task list and I can see the size of this task list to be 1 from main method but inside the runner thread when i print the size of task list object , it shows it as 0.
Need help figuring out what exactly is happening here....
ANSWERAnswered 2019-Dec-31 at 04:44
I think there is a thread-safety problem. Specifically:
LinkedListis not thread-safe, and
- you are using the
rt.getTasks().size()without any synchronization.
This is sufficient to cause
size() to return a stale value under some circumstances.
If you are going to rely on the semantics of
volatile you need to do a proper analysis of the happens-before relationships for each write / read sequence that matters to thread safety. It is tricky.
My advice would be:
synchronizedand/or an existing thread-safe data structure instead ... if you need to reinvent the wheel.
Don't reinvent the wheel. You could replace your thread pool with a single call
Executors.singleThreadExecutor; see javadoc.
I've generated some Java code from a wsdl file and the request itself seems to be working, but I can't send my credentials.
I've tested the Webservice with a tool called "SoapUI" and everything seemes to be working like a charm.
Here is an example of the (working) xml:...
ANSWERAnswered 2018-Jul-25 at 09:09
Your code looks good to me, so not sure where is actual problem. But rather then modifying stub class, I have done it while invoking the service method. Your code should look something like below and you could remove your code modifications to generated stub class, and it should work.
ANSWERAnswered 2018-Jul-16 at 08:51
I used this code , and I am not getting any error. Output was Google
Maybe you will have to download latest chrome driver , chrome browser version and Selenium.
My config :
Version 67.0.3396.99 (Official Build) (64-bit)
3.12.0 (you can go for 3.13.0 also)
Chrome driver :
How can I fix my
GC overhead limit exceeded happening with PySpark version 2.2.1. installed on Ubuntu 16.04.4.
Inside the Python 3.5.2 script I setup spark as:...
ANSWERAnswered 2018-Mar-15 at 09:33
Taking straight from the docs,
- The first step in GC tuning is to collect statistics on how frequently garbage collection occurs and the amount of time spent GC. This can be done by adding -verbose:gc -XX:+PrintGCDetails -XX:+PrintGCTimeStamps to the Java options.
- The goal of GC tuning in Spark is to ensure that only long-lived RDDs are stored in the Old generation and that the Young generation is sufficiently sized to store short-lived objects. This will help avoid full GCs to collect temporary objects created during task execution.
- Check if there are too many garbage collections by collecting GC stats. If a full GC is invoked multiple times for before a task completes, it means that there isn’t enough memory available for executing tasks.
- If there are too many minor collections but not many major GCs, allocating more memory for Eden would help. You can set the size of the Eden to be an over-estimate of how much memory each task will need. If the size of Eden is determined to be E, then you can set the size of the Young generation using the option -Xmn=4/3*E. (The scaling up by 4/3 is to account for space used by survivor regions as well.)
- In the GC stats that are printed, if the OldGen is close to being full, reduce the amount of memory used for caching by lowering spark.memory.fraction; it is better to cache fewer objects than to slow down task execution. Alternatively, consider decreasing the size of the Young generation. This means lowering -Xmn if you’ve set it as above. If not, try changing the value of the JVM’s NewRatio parameter. Many JVMs default this to 2, meaning that the Old generation occupies 2/3 of the heap. It should be large enough such that this fraction exceeds spark.memory.fraction.
- Try the G1GC garbage collector with -XX:+UseG1GC. It can improve performance in some situations where garbage collection is a bottleneck. (This helped me)
Some more parameters that helped me were,
All GC tuning flags for executors can be specified by setting spark.executor.extraJavaOptions in a job’s configuration.
Check this out for further details.
In you spark-defaults.conf write,
spark.executor.extraJavaOptions -XX:ConcGCThreads=20 -XX:InitiatingHeapOcuupancyPercent=35
I'm implement a client that access an old service, after some researches I discovered I need user Axis 1.4 do comunicate with this service. After generate the java code from wsdl I can see that Axis is not deserializing the response corretly, it appears it is reading the element as if it was another.
This is de wsdl of the service:...
ANSWERAnswered 2017-Apr-25 at 20:18
I tried implement the client using JAX-RPC however I got the same error. Tried modify the way the client was processing the response, but I was getting some other errors. So I gave up use third part SOAP clients and implemented a http client sending and receiving the data as String:
No vulnerabilities reported
You can use javaUtils like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the javaUtils component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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