py4j | A opensource Java library for converting Chinese to Pinyin
kandi X-RAY | py4j Summary
kandi X-RAY | py4j Summary
A open-source Java library for converting Chinese to Pinyin.
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Top functions reviewed by kandi - BETA
- Get DuoYin map
- Load a vocabulary from the classpath
- Parse python dictionary
- Load vocabulary
- Closes a closable
- Return true if the CharSequence is empty
- Check if the given string is not null or empty
- Checks if the vocabulary is initialized
- Log at debug level
- Log an error
- Returns true if the CharSequence is not blank
- Returns true if the CharSequence is blank
- Capitalizes the first letter of the given string
- Check if string contains the given string
- Checks if two strings are equal
- Compares two strings ignoring case
py4j Key Features
py4j Examples and Code Snippets
final String[] arr = {"大夫", "重庆银行", "长沙银行", "便宜坊", "西藏", "藏宝图", "出差", "参加", "列车长"};
final Converter converter = new PinyinConverter();
int threadNum = 20;
ExecutorService pool = Executors.newFixedThreadPool(threadNum);
for(int i=0;i() {
@Ove
Converter converter = new PinyinConverter();
final String[] arr = {"肯德基", "重庆银行", "长沙银行", "便宜坊", "西藏", "藏宝图", "出差", "参加", "列车长"};
for (String chinese : arr){
String py = converter.getPinyin(chinese);
System.out.println(chinese+"\t"+py);
}
肯
Converter converter = new PinyinConverter();
char[] chs = {'长', '行', '藏', '度', '阿', '佛', '2', 'A', 'a'};
for(char ch : chs){
String[] arr_py = converter.getPinyin(ch);
System.out.println(ch+"\t"+Arrays.toString(arr_py));
}
长 [chang, zhang]
Community Discussions
Trending Discussions on py4j
QUESTION
I'm using Apache Spark 3.1.0 with Python 3.9.6. I'm trying to read csv file from AWS S3 bucket something like this:
...ANSWER
Answered 2021-Aug-25 at 11:11You need to use hadoop-aws
version 3.2.0 for spark 3. In --packages
specifying hadoop-aws
library is enough to read files from S3.
QUESTION
I'm trying to get started with pyspark, but having some trouble. I have python 3.10 installed and an M1 MacBook Pro. I installed pyspark using the command:
...ANSWER
Answered 2021-Dec-02 at 17:46You need to setup JAVA_HOME
and SPARK_DIST_CLASSPATH
as well. You can download Hadoop from the main website https://hadoop.apache.org/releases.html
QUESTION
I have been tasked lately, to ingest JSON responses onto Databricks Delta-lake. I have to hit the REST API endpoint URL 6500 times with different parameters and pull the responses.
I have tried two modules, ThreadPool and Pool from the multiprocessing library, to make each execution a little quicker.
ThreadPool:
- How to choose the number of threads for ThreadPool, when the Azure Databricks cluster is set to autoscale from 2 to 13 worker nodes?
Right now, I've set n_pool = multiprocessing.cpu_count(), will it make any difference, if the cluster auto-scales?
Pool
- When I use Pool to use processors instead of threads. I see the following errors randomly on each execution. Well, I understand from the error that Spark Session/Conf is missing and I need to set it from each process. But I am on Databricks with default spark session enabled, then why do I see these errors.
ANSWER
Answered 2022-Feb-28 at 08:56You can try following way to resolve
QUESTION
Usually, to read a local .csv
file I use this:
ANSWER
Answered 2022-Feb-24 at 12:33It's not possible to access external data from driver. There are some workarounds like simple using pandas:
QUESTION
After using df.write.csv
to try to export my spark dataframe into a csv file, I get the following error message:
ANSWER
Answered 2021-Dec-01 at 13:43The issue was with the Java SDK (or JDK) version. Currently pyspark only supports JDK versions 8 and 11 (the most recent one is 17) To download the legacy versions of JDK, head to https://www.oracle.com/br/java/technologies/javase/jdk11-archive-downloads.html and download the version 11 (note: you will need to provide a valid e-mail and password to create an Oracle account)
QUESTION
i am trying to query data from snowflake using pyspark in glue with below code
...ANSWER
Answered 2022-Feb-19 at 15:03Using:
QUESTION
I have a Structured Streaming pyspark program running on GCP Dataproc, which reads data from Kafka, and does some data massaging, and aggregation. I'm trying to use withWatermark(), and it is giving error.
Here is the code :
...ANSWER
Answered 2022-Feb-17 at 03:46As @ewertonvsilva mentioned, this was related to import error. specifically ->
QUESTION
In my application config i have defined the following properties:
...ANSWER
Answered 2022-Feb-16 at 13:12Acording to this answer: https://stackoverflow.com/a/51236918/16651073 tomcat falls back to default logging if it can resolve the location
Can you try to save the properties without the spaces.
Like this:
logging.file.name=application.logs
QUESTION
I'm trying to run a Structured Streaming program on GCP Dataproc, which accesses the data from Kafka and prints it.
Access to Kafka is using SSL, and the truststore and keystore files are stored in buckets. I'm using Google Storage API to access the bucket, and store the file in the current working directory. The truststore and keystores are passed onto the Kafka Consumer/Producer. However - i'm getting an error
Command :
...ANSWER
Answered 2022-Feb-03 at 17:15I would add the following option if you want to use jks
QUESTION
i'm trying to run a StructuredStreaming job on GCP DataProc, which reads from Kafka nd prints out the values. The code is giving error -> java.lang.NoClassDefFoundError: org/apache/kafka/common/serialization/ByteArraySerializer
Here is the code:
...ANSWER
Answered 2022-Feb-02 at 08:39Please have a look at the official deployment guideline here: https://spark.apache.org/docs/latest/structured-streaming-kafka-integration.html#deploying
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Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install py4j
You can use py4j 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 py4j 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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