kryo | SVN repository at http : //kryo.googlecode.com/svn/trunk | Game Engine library
kandi X-RAY | kryo Summary
kandi X-RAY | kryo Summary
This is a clone of an SVN repository at http://kryo.googlecode.com/svn/trunk. It had been cloned by http://svn2github.com/ , but the service was since closed. Please read a closing note on my blog post: http://piotr.gabryjeluk.pl/blog:closing-svn2github . If you want to continue synchronizing this repo, look at https://github.com/gabrys/svn2github
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Top functions reviewed by kandi - BETA
- Reads an object from the input
- Read chunk size
- Reads a UTF - 8 string
- Advances to the next chunk
- Writes a string
- Writes the length of a string
- Writes the length and byte array to the buffer
- Writes the length of a string
- Returns a deep copy of the given object using the specified serializer
- Returns a deep copy of the given object
- Writes the given map to the given output
- Removes the given key from the map
- Writes the given object to the output
- Write a long value
- Reads an object from the specified input stream
- Reads a collection from a given input
- Returns true if the map contains the specified value
- Reads an object from the given input stream
- Remove the key from the map
- Reads a Map from the given input
- Removes the key from the HashMap
- Writes an object to the output
- Returns a string representation of this map
- Reads a value from the input
- Returns true if we can read a long
- Returns whether we can read a long
- Removes the key from the map
kryo Key Features
kryo Examples and Code Snippets
Lines of Code : 6License : Permissive (MIT License)
Copy@Override
public void read(Kryo kryo, Input input) {
name = input.readString();
birthDate = new Date(input.readLong());
age = input.readInt();
} Community Discussions
Trending Discussions on kryo
QUESTION
I use the newest snapshot of Apache Sedona (1.3.2-SNAPSHOT) to do some geospatial work with my Apache Spark 3.0.1 on a docker cluster.
When trying out the first example in the tutorials section (http://sedona.apache.org/tutorial/sql/), I am suffering a NoClassDefException as a cause of a ClassNotFoundException:
...ANSWER
Answered 2021-May-31 at 12:11GeoSpark has moved to Apache-Sedona . Import dependencies according to spark version as below :
QUESTION
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.
...ANSWER
Answered 2021-May-21 at 07:25Seems your hive conf is missing. To connect to hive metastore you need to copy the hive-site.xml file into spark/conf directory.
Try
QUESTION
Upon upgrading EMR version to 6.2.0 (we previously used 5.0 beta - ish) and Spark 3.0.1, we noticed that we were unable to locally read Kryo files written from EMR clusters (this was obviously possible previously). When trying to read such a file, the exception thrown is along the lines of:
...ANSWER
Answered 2021-May-10 at 15:02TL;DR: AWS EMR 6.2.0 (maybe earlier too) causes local deserialization of Kryo files, written from EMR clusters, to fail (due to clusters running an AWS Spark fork). Code to fix is attached @ end of post.
Since recently, Amazon EMR clusters run their own fork of Apache Spark (namely, for EMR 6.2.0 clusters, the Spark version is 3.0.1.amzn-0), with Kryo included as the default serialization framework, which we use ourselves. Ever since upgrading to 6.2.0, we noticed we could not locally read Kryo files written from EMR 6.2.0 clusters, they would fail with a message along the lines of:
QUESTION
I'm attempting to use Stormcrawler to crawl a set of pages on our website, and while it is able to retrieve and index some of the page's text, it's not capturing a large amount of other text on the page.
I've installed Zookeeper, Apache Storm, and Stormcrawler using the Ansible playbooks provided here (thank you a million for those!) on a server running Ubuntu 18.04, along with Elasticsearch and Kibana. For the most part, I'm using the configuration defaults, but have made the following changes:
- For the Elastic index mappings, I've enabled
_source: true, and turned on indexing and storing for all properties (content, host, title, url) - In the
crawler-conf.yamlconfiguration, I've commented out alltextextractor.include.patternandtextextractor.exclude.tagssettings, to enforce capturing the whole page
After re-creating fresh ES indices, running mvn clean package, and then starting the crawler topology, stormcrawler begins doing its thing and content starts appearing in Elasticsearch. However, for many pages, the content that's retrieved and indexed is only a subset of all the text on the page, and usually excludes the main page text we are interested in.
For example, the text in the following XML path is not returned/indexed:
(text)
While the text in this path is returned:
Are there any additional configuration changes that need to be made beyond commenting out all specific tag include and exclude patterns? From my understanding of the documentation, the default settings for those options are to enforce the whole page to be indexed.
I would greatly appreciate any help. Thank you for the excellent software.
Below are my configuration files:
crawler-conf.yaml
...ANSWER
Answered 2021-Apr-27 at 08:07IIRC you need to set some additional config to work with ChomeDriver.
Alternatively (haven't tried yet) https://hub.docker.com/r/browserless/chrome would be a nice way of handling Chrome in a Docker container.
QUESTION
While trying to load data into redshift from AWS S3, I am facing an issue with any column in the redshift table of type decimal. I am able to load non-decimal number in redshift, but can't able load datatype like Numeric(18,4).
DF schema in S3: A Integer, B string, C decimal(18,4), D timestamp
Redshift table schema: A INTEGER, B VARCHAR(20), C NUMERIC(18,4), D TIMESTAMP
Error Message from stl_load_errors table:
Invalid digit, Value '"', Pos 0, Type: Decimal
Data that redshift is trying to add:
...ANSWER
Answered 2021-Apr-07 at 07:43I got the problem, I was using Spark 2.x. In order to save tempdir in CSV format, you need spark 3.x. You can use latest version, 3.0.0-preview1.
You can upgrade your spark
or
you can use your command like spark-submit --packages com.databricks:spark-redshift_2.10:3.0.0-preview1....
Explanation:
When writing to Redshift, data is first stored in a temp folder in S3 before being loaded into Redshift. The default format used for storing temp data between Apache Spark and Redshift is Spark-Avro. However, Spark-Avro stores a decimal as a binary, which is interpreted by Redshift as empty strings or nulls.
But I want to improve performance and remove this blank issue, for that purpose CSV format is best suitable. I was using Spark 2.x which by default use Avro tempformat, even if we mention it externally.
So after giving 3.0.0-preview1 package with command, It can now use the features that are present in Spark 3.x.
Reference:
https://kb.databricks.com/data/redshift-fails-decimal-write.html
https://github.com/databricks/spark-redshift/issues/308
QUESTION
I am trying to integrate Hudi with Kafka topic.
Steps followed :
- Created Kafka topic in Confluent with schema defined in schema registry.
- Using kafka-avro-console-producer, I am trying to produce data.
- Running Hudi Delta Streamer in continuous mode to consume the data.
Infrastructure :
- AWS EMR
- Spark 2.4.4
- Hudi Utility ( Tried with 0.6.0 and 0.7.0 )
- Avro ( Tried avro-1.8.2, avro-1.9.2 and avro-1.10.0 )
I am getting the below error stacktrace. Can someone please help me out with this?
...ANSWER
Answered 2021-Mar-02 at 11:15please open a github issue (https://github.com/apache/hudi/issues) to get timely reply.
QUESTION
I create a custom type dataset by spark.
...ANSWER
Answered 2021-Mar-11 at 12:57Reason for the exception is: your dataset doesn't have the required columns for aggregation. you can get expected result by using Encoders.bean(class) while creating dataset.
code:
QUESTION
Enviornment - spark-3.0.1-bin-hadoop2.7, ScalaLibraryContainer 2.12.3, Scala, SparkSQL, eclipse-jee-oxygen-2-linux-gtk-x86_64
I have a csv file having 3 columns with data-type :String,Long,Date. I want to group by first column which is string and retrieve the maximum date value.
To do this I have created RDD of Person objects from text file and converted it into dataframe 'peopleDF'. Registered the dataframe as a temporary view. I run the following sql statements using the sql methods provided by spark.
...ANSWER
Answered 2021-Mar-10 at 10:24Applying max on a string type column will not give you the maximum date. You need to convert that to a date type column first:
QUESTION
I have added a field to metadata for transferring and persisting in the status index. The field is a List of String and its name is input_keywords. After running topology in the Strom cluster, The topology halted with the following logs:
...ANSWER
Answered 2021-Mar-01 at 10:25You are modifying a Metadata instance while it is being serialized. You can't do that, see Storm troubleshooting page.
As explained in the release notes of 1.16, you can lock the metadata. This won't fix the issue but will tell you where in your code you are writing into the metadata.
QUESTION
Some of our POJOs contain fields from java.time API (LocalDate, LocalDateTime). When our pipelines are processing them we can see following information in the logs:
...ANSWER
Answered 2021-Feb-17 at 10:54Due to backwards compatibility, even if a new serializer is being introduced in Flink, it can't be used automatically. However, you can tell Flink to use that for your POJO like this (if you are starting without a previous savepoint using Kryo there):
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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You can use kryo 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 kryo 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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