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Sentinel | A powerful flow control component enabling reliability, resilience and monitoring for microservices

 by   alibaba Java Version: 1.8.3 License: Apache-2.0

 by   alibaba Java Version: 1.8.3 License: Apache-2.0

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kandi X-RAY | Sentinel Summary

Sentinel is a Java library. Sentinel has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub, Maven.
As distributed systems become increasingly popular, the reliability between services is becoming more important than ever before. Sentinel takes "flow" as breakthrough point, and works on multiple fields including flow control, traffic shaping, circuit breaking and system adaptive protection, to guarantee reliability and resilience for microservices.
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • Sentinel has a medium active ecosystem.
  • It has 18849 star(s) with 6759 fork(s). There are 774 watchers for this library.
  • There were 1 major release(s) in the last 12 months.
  • There are 380 open issues and 1388 have been closed. On average issues are closed in 12 days. There are 127 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of Sentinel is 1.8.3
Sentinel Support
Best in #Java
Average in #Java
Sentinel Support
Best in #Java
Average in #Java

quality kandi Quality

  • Sentinel has 0 bugs and 0 code smells.
Sentinel Quality
Best in #Java
Average in #Java
Sentinel Quality
Best in #Java
Average in #Java

securitySecurity

  • Sentinel has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • Sentinel code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
Sentinel Security
Best in #Java
Average in #Java
Sentinel Security
Best in #Java
Average in #Java

license License

  • Sentinel is licensed under the Apache-2.0 License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
Sentinel License
Best in #Java
Average in #Java
Sentinel License
Best in #Java
Average in #Java

buildReuse

  • Sentinel releases are available to install and integrate.
  • Deployable package is available in Maven.
  • Build file is available. You can build the component from source.
  • Installation instructions, examples and code snippets are available.
Sentinel Reuse
Best in #Java
Average in #Java
Sentinel Reuse
Best in #Java
Average in #Java
Top functions reviewed by kandi - BETA

kandi has reviewed Sentinel and discovered the below as its top functions. This is intended to give you an instant insight into Sentinel implemented functionality, and help decide if they suit your requirements.

  • Load SPI configuration file .
  • Fetch the given app .
  • Default local check .
  • Parse the response from an input stream .
  • Normalizes a path .
  • Get the environment
  • Get server list from console server
  • Decreases the thread count for the given arguments .
  • Initialize ZooKeeperListener .
  • Wrap the list of token server state to app cluster state .

Sentinel Key Features

Rich applicable scenarios: Sentinel has been wildly used in Alibaba, and has covered almost all the core-scenarios in Double-11 (11.11) Shopping Festivals in the past 10 years, such as “Second Kill” which needs to limit burst flow traffic to meet the system capacity, message peak clipping and valley fills, circuit breaking for unreliable downstream services, cluster flow control, etc.

Real-time monitoring: Sentinel also provides real-time monitoring ability. You can see the runtime information of a single machine in real-time, and the aggregated runtime info of a cluster with less than 500 nodes.

Widespread open-source ecosystem: Sentinel provides out-of-box integrations with commonly-used frameworks and libraries such as Spring Cloud, Dubbo and gRPC. You can easily use Sentinel by simply add the adapter dependency to your services.

Polyglot support: Sentinel has provided native support for Java, Go and C++.

Various SPI extensions: Sentinel provides easy-to-use SPI extension interfaces that allow you to quickly customize your logic, for example, custom rule management, adapting data sources, and so on.

1. Add Dependency

copy iconCopydownload iconDownload
<!-- replace here with the latest version -->
<dependency>
    <groupId>com.alibaba.csp</groupId>
    <artifactId>sentinel-core</artifactId>
    <version>1.8.3</version>
</dependency>

2. Define Resource

copy iconCopydownload iconDownload
try (Entry entry = SphU.entry("HelloWorld")) {
    // Your business logic here.
    System.out.println("hello world");
} catch (BlockException e) {
    // Handle rejected request.
    e.printStackTrace();
}
// try-with-resources auto exit

3. Define Rules

copy iconCopydownload iconDownload
List<FlowRule> rules = new ArrayList<>();
FlowRule rule = new FlowRule();
rule.setResource("HelloWorld");
// set limit qps to 20
rule.setCount(20);
rule.setGrade(RuleConstant.FLOW_GRADE_QPS);
rules.add(rule);
FlowRuleManager.loadRules(rules);

4. Check the Result

copy iconCopydownload iconDownload
|--timestamp-|------date time----|-resource-|p |block|s |e|rt  |occupied
1529998904000|2018-06-26 15:41:44|HelloWorld|20|0    |20|0|0   |0
1529998905000|2018-06-26 15:41:45|HelloWorld|20|5579 |20|0|728 |0
1529998906000|2018-06-26 15:41:46|HelloWorld|20|15698|20|0|0   |0
1529998907000|2018-06-26 15:41:47|HelloWorld|20|19262|20|0|0   |0
1529998908000|2018-06-26 15:41:48|HelloWorld|20|19502|20|0|0   |0
1529998909000|2018-06-26 15:41:49|HelloWorld|20|18386|20|0|0   |0

p stands for incoming request, block for blocked by rules, s for success handled by Sentinel, e for exception count, rt for average response time (ms), occupied stands for occupiedPassQps since 1.5.0 which enable us booking more than 1 shot when entering.

Bitnami Redis Sentinel & Sidekiq on Kubernetes

copy iconCopydownload iconDownload
irb(main):007:0> Resolv.getaddresses "redis-headless"
=> ["172.16.105.95", "172.16.105.194", "172.16.9.197"]
Sidekiq.configure_server do |config|
  config.redis = {
    # This `host` parameter is used by the Redis gem with the Redis command
    # `get-master-addr-by-name` (See https://redis.io/topics/sentinel#obtaining-the-address-of-the-current-master)
    # in order to retrieve the current Redis master IP address.
    host: "mymaster",
    sentinels: Resolv.getaddresses('redis-headless').map do |address|
      { host: address, port: 26379 }
    end
  }
end
-----------------------
irb(main):007:0> Resolv.getaddresses "redis-headless"
=> ["172.16.105.95", "172.16.105.194", "172.16.9.197"]
Sidekiq.configure_server do |config|
  config.redis = {
    # This `host` parameter is used by the Redis gem with the Redis command
    # `get-master-addr-by-name` (See https://redis.io/topics/sentinel#obtaining-the-address-of-the-current-master)
    # in order to retrieve the current Redis master IP address.
    host: "mymaster",
    sentinels: Resolv.getaddresses('redis-headless').map do |address|
      { host: address, port: 26379 }
    end
  }
end

GCP Dataproc - cluster creation failing when using connectors.sh in initialization-actions

copy iconCopydownload iconDownload
gcloud dataproc clusters create ${CLUSTER_NAME} \
    --region ${REGION} \
    --metadata GCS_CONNECTOR_VERSION=2.2.2
    --initialization-actions gs://${BUCKET}/connectors.sh \
    --metadata bigquery-connector-version=1.2.0 \
    --metadata spark-bigquery-connector-version=0.23.2
-----------------------
gcloud dataproc clusters create ${CLUSTER_NAME} \
    --region ${REGION} \
    --metadata GCS_CONNECTOR_VERSION=2.2.2
    --initialization-actions gs://${BUCKET}/connectors.sh \
    --metadata bigquery-connector-version=1.2.0 \
    --metadata spark-bigquery-connector-version=0.23.2

Are view iterators valid beyond the lifetime of the view?

copy iconCopydownload iconDownload
auto begin() { return std::ranges::begin(values()); }
auto end() { return std::ranges::end(values()); }

TypeError: Object of type Mock is not JSON serializable

copy iconCopydownload iconDownload
invalid_bodies = [
            ('address', {'address':
                'line_1':'',
                'line_2':'',
                'city':'',
                'state':'',
                'zip_code':'',
                'country':'',
           }),

        ]

Best way to navigate a nested JSON in Python?

copy iconCopydownload iconDownload
listOfNumbers = [266, 166, 123, 283]
names = []
for value in jsonObj['data'].values():
    if value['key'] in listOfNumbers:
        names.append(value['name'])
-----------------------
names = [value['name'] for name, value in all_data['data'].items() if value['key'] in listOfNumbers]
-----------------------
import json

keys = [266, 166, 123, 283]

# First, we need to parse the JSON string into a Python dictionary
# Skip this if you already have a dictionary.
data = json.loads(raw_json)

# Then map keys to names
key_to_id = {int(obj["key"]): obj["id"] for obj in data["data"].values()}

# Lastly, extract the names we want
ids = [key_to_id[key] for key in keys]
-----------------------
d = json.loads(j)
nums = [266, 166, 123, 283]
names = [v["name"] for v in d["data"].values() if int(v["key"]) in nums]
['Aatrox', 'Akshan']
-----------------------
d = json.loads(j)
nums = [266, 166, 123, 283]
names = [v["name"] for v in d["data"].values() if int(v["key"]) in nums]
['Aatrox', 'Akshan']
-----------------------
from flatten_json import flatten
import pandas as pd


def flatten_nested_json_df(df):
    df = df.reset_index()
    s = (df.applymap(type) == list).all()
    list_columns = s[s].index.tolist()
    
    s = (df.applymap(type) == dict).all()
    dict_columns = s[s].index.tolist()

    
    while len(list_columns) > 0 or len(dict_columns) > 0:
        new_columns = []

        for col in dict_columns:
            horiz_exploded = pd.json_normalize(df[col]).add_prefix(f'{col}.')
            horiz_exploded.index = df.index
            df = pd.concat([df, horiz_exploded], axis=1).drop(columns=[col])
            new_columns.extend(horiz_exploded.columns) # inplace

        for col in list_columns:
            #print(f"exploding: {col}")
            df = df.drop(columns=[col]).join(df[col].explode().to_frame())
            new_columns.append(col)

        s = (df[new_columns].applymap(type) == list).all()
        list_columns = s[s].index.tolist()

        s = (df[new_columns].applymap(type) == dict).all()
        dict_columns = s[s].index.tolist()
    return df

json = json.dumps(data) 
df = pd.json_normalize(data)
flatten_nested_json_df(df)

 index      type             format version data.Aatrox.version  \
0       0  champion  standAloneComplex  12.2.1              12.2.1   
0       0  champion  standAloneComplex  12.2.1              12.2.1   
0       0  champion  standAloneComplex  12.2.1              12.2.1   
0       0  champion  standAloneComplex  12.2.1              12.2.1   
0       0  champion  standAloneComplex  12.2.1              12.2.1   
..    ...       ...                ...     ...                 ...   
0       0  champion  standAloneComplex  12.2.1              12.2.1   
0       0  champion  standAloneComplex  12.2.1              12.2.1   
0       0  champion  standAloneComplex  12.2.1              12.2.1   
0       0  champion  standAloneComplex  12.2.1              12.2.1   
0       0  champion  standAloneComplex  12.2.1              12.2.1   

   data.Aatrox.id data.Aatrox.key data.Aatrox.name data.Aatrox.title  \
0          Aatrox             266           Aatrox  the Darkin Blade   
0          Aatrox             266           Aatrox  the Darkin Blade   
0          Aatrox             266           Aatrox  the Darkin Blade   
0          Aatrox             266           Aatrox  the Darkin Blade   
0          Aatrox             266           Aatrox  the Darkin Blade   
..            ...             ...              ...               ...   
0          Aatrox             266           Aatrox  the Darkin Blade   
0          Aatrox             266           Aatrox  the Darkin Blade   
0          Aatrox             266           Aatrox  the Darkin Blade   
0          Aatrox             266           Aatrox  the Darkin Blade   
0          Aatrox             266           Aatrox  the Darkin Blade   

                                    data.Aatrox.blurb  ...  \
0   Once honored defenders of Shurima against the ...  ...   
0   Once honored defenders of Shurima against the ...  ...   
0   Once honored defenders of Shurima against the ...  ...   
0   Once honored defenders of Shurima against the ...  ...   
0   Once honored defenders of Shurima against the ...  ...   
..                                                ...  ...   
0   Once honored defenders of Shurima against the ...  ...   
0   Once honored defenders of Shurima against the ...  ...   
0   Once honored defenders of Shurima against the ...  ...   
0   Once honored defenders of Shurima against the ...  ...   
0   Once honored defenders of Shurima against the ...  ...   

    data.Akshan.stats.crit  data.Akshan.stats.critperlevel  \
0                        0                               0   
0                        0                               0   
0                        0                               0   
0                        0                               0   
0                        0                               0   
..                     ...                             ...   
0                        0                               0   
0                        0                               0   
0                        0                               0   
0                        0                               0   
0                        0                               0   

    data.Akshan.stats.attackdamage  data.Akshan.stats.attackdamageperlevel  \
0                               52                                     3.5   
0                               52                                     3.5   
0                               52                                     3.5   
0                               52                                     3.5   
0                               52                                     3.5   
..                             ...                                     ...   
0                               52                                     3.5   
0                               52                                     3.5   
0                               52                                     3.5   
0                               52                                     3.5   
0                               52                                     3.5   

   data.Akshan.stats.attackspeedperlevel data.Akshan.stats.attackspeed  \
0                                      4                         0.638   
0                                      4                         0.638   
0                                      4                         0.638   
0                                      4                         0.638   
0                                      4                         0.638   
..                                   ...                           ...   
0                                      4                         0.638   
0                                      4                         0.638   
0                                      4                         0.638   
0                                      4                         0.638   
0                                      4                         0.638   

   data.Aatrox.tags  data.Ahri.tags  data.Akali.tags  data.Akshan.tags  
0           Fighter            Mage         Assassin          Marksman  
0           Fighter            Mage         Assassin          Assassin  
0           Fighter            Mage         Assassin          Marksman  
0           Fighter            Mage         Assassin          Assassin  
0           Fighter            Mage         Assassin          Marksman  
..              ...             ...              ...               ...  
0              Tank        Assassin         Assassin          Assassin  
0              Tank        Assassin         Assassin          Marksman  
0              Tank        Assassin         Assassin          Assassin  
0              Tank        Assassin         Assassin          Marksman  
0              Tank        Assassin         Assassin          Assassin  

[8192 rows x 160 columns]
listOfNumbers = ['266', '166', '123', '283']
df_sub = df[df['data.Aatrox.key'].isin(listOfNumbers)]
-----------------------
from flatten_json import flatten
import pandas as pd


def flatten_nested_json_df(df):
    df = df.reset_index()
    s = (df.applymap(type) == list).all()
    list_columns = s[s].index.tolist()
    
    s = (df.applymap(type) == dict).all()
    dict_columns = s[s].index.tolist()

    
    while len(list_columns) > 0 or len(dict_columns) > 0:
        new_columns = []

        for col in dict_columns:
            horiz_exploded = pd.json_normalize(df[col]).add_prefix(f'{col}.')
            horiz_exploded.index = df.index
            df = pd.concat([df, horiz_exploded], axis=1).drop(columns=[col])
            new_columns.extend(horiz_exploded.columns) # inplace

        for col in list_columns:
            #print(f"exploding: {col}")
            df = df.drop(columns=[col]).join(df[col].explode().to_frame())
            new_columns.append(col)

        s = (df[new_columns].applymap(type) == list).all()
        list_columns = s[s].index.tolist()

        s = (df[new_columns].applymap(type) == dict).all()
        dict_columns = s[s].index.tolist()
    return df

json = json.dumps(data) 
df = pd.json_normalize(data)
flatten_nested_json_df(df)

 index      type             format version data.Aatrox.version  \
0       0  champion  standAloneComplex  12.2.1              12.2.1   
0       0  champion  standAloneComplex  12.2.1              12.2.1   
0       0  champion  standAloneComplex  12.2.1              12.2.1   
0       0  champion  standAloneComplex  12.2.1              12.2.1   
0       0  champion  standAloneComplex  12.2.1              12.2.1   
..    ...       ...                ...     ...                 ...   
0       0  champion  standAloneComplex  12.2.1              12.2.1   
0       0  champion  standAloneComplex  12.2.1              12.2.1   
0       0  champion  standAloneComplex  12.2.1              12.2.1   
0       0  champion  standAloneComplex  12.2.1              12.2.1   
0       0  champion  standAloneComplex  12.2.1              12.2.1   

   data.Aatrox.id data.Aatrox.key data.Aatrox.name data.Aatrox.title  \
0          Aatrox             266           Aatrox  the Darkin Blade   
0          Aatrox             266           Aatrox  the Darkin Blade   
0          Aatrox             266           Aatrox  the Darkin Blade   
0          Aatrox             266           Aatrox  the Darkin Blade   
0          Aatrox             266           Aatrox  the Darkin Blade   
..            ...             ...              ...               ...   
0          Aatrox             266           Aatrox  the Darkin Blade   
0          Aatrox             266           Aatrox  the Darkin Blade   
0          Aatrox             266           Aatrox  the Darkin Blade   
0          Aatrox             266           Aatrox  the Darkin Blade   
0          Aatrox             266           Aatrox  the Darkin Blade   

                                    data.Aatrox.blurb  ...  \
0   Once honored defenders of Shurima against the ...  ...   
0   Once honored defenders of Shurima against the ...  ...   
0   Once honored defenders of Shurima against the ...  ...   
0   Once honored defenders of Shurima against the ...  ...   
0   Once honored defenders of Shurima against the ...  ...   
..                                                ...  ...   
0   Once honored defenders of Shurima against the ...  ...   
0   Once honored defenders of Shurima against the ...  ...   
0   Once honored defenders of Shurima against the ...  ...   
0   Once honored defenders of Shurima against the ...  ...   
0   Once honored defenders of Shurima against the ...  ...   

    data.Akshan.stats.crit  data.Akshan.stats.critperlevel  \
0                        0                               0   
0                        0                               0   
0                        0                               0   
0                        0                               0   
0                        0                               0   
..                     ...                             ...   
0                        0                               0   
0                        0                               0   
0                        0                               0   
0                        0                               0   
0                        0                               0   

    data.Akshan.stats.attackdamage  data.Akshan.stats.attackdamageperlevel  \
0                               52                                     3.5   
0                               52                                     3.5   
0                               52                                     3.5   
0                               52                                     3.5   
0                               52                                     3.5   
..                             ...                                     ...   
0                               52                                     3.5   
0                               52                                     3.5   
0                               52                                     3.5   
0                               52                                     3.5   
0                               52                                     3.5   

   data.Akshan.stats.attackspeedperlevel data.Akshan.stats.attackspeed  \
0                                      4                         0.638   
0                                      4                         0.638   
0                                      4                         0.638   
0                                      4                         0.638   
0                                      4                         0.638   
..                                   ...                           ...   
0                                      4                         0.638   
0                                      4                         0.638   
0                                      4                         0.638   
0                                      4                         0.638   
0                                      4                         0.638   

   data.Aatrox.tags  data.Ahri.tags  data.Akali.tags  data.Akshan.tags  
0           Fighter            Mage         Assassin          Marksman  
0           Fighter            Mage         Assassin          Assassin  
0           Fighter            Mage         Assassin          Marksman  
0           Fighter            Mage         Assassin          Assassin  
0           Fighter            Mage         Assassin          Marksman  
..              ...             ...              ...               ...  
0              Tank        Assassin         Assassin          Assassin  
0              Tank        Assassin         Assassin          Marksman  
0              Tank        Assassin         Assassin          Assassin  
0              Tank        Assassin         Assassin          Marksman  
0              Tank        Assassin         Assassin          Assassin  

[8192 rows x 160 columns]
listOfNumbers = ['266', '166', '123', '283']
df_sub = df[df['data.Aatrox.key'].isin(listOfNumbers)]
-----------------------
from flatten_json import flatten
import pandas as pd


def flatten_nested_json_df(df):
    df = df.reset_index()
    s = (df.applymap(type) == list).all()
    list_columns = s[s].index.tolist()
    
    s = (df.applymap(type) == dict).all()
    dict_columns = s[s].index.tolist()

    
    while len(list_columns) > 0 or len(dict_columns) > 0:
        new_columns = []

        for col in dict_columns:
            horiz_exploded = pd.json_normalize(df[col]).add_prefix(f'{col}.')
            horiz_exploded.index = df.index
            df = pd.concat([df, horiz_exploded], axis=1).drop(columns=[col])
            new_columns.extend(horiz_exploded.columns) # inplace

        for col in list_columns:
            #print(f"exploding: {col}")
            df = df.drop(columns=[col]).join(df[col].explode().to_frame())
            new_columns.append(col)

        s = (df[new_columns].applymap(type) == list).all()
        list_columns = s[s].index.tolist()

        s = (df[new_columns].applymap(type) == dict).all()
        dict_columns = s[s].index.tolist()
    return df

json = json.dumps(data) 
df = pd.json_normalize(data)
flatten_nested_json_df(df)

 index      type             format version data.Aatrox.version  \
0       0  champion  standAloneComplex  12.2.1              12.2.1   
0       0  champion  standAloneComplex  12.2.1              12.2.1   
0       0  champion  standAloneComplex  12.2.1              12.2.1   
0       0  champion  standAloneComplex  12.2.1              12.2.1   
0       0  champion  standAloneComplex  12.2.1              12.2.1   
..    ...       ...                ...     ...                 ...   
0       0  champion  standAloneComplex  12.2.1              12.2.1   
0       0  champion  standAloneComplex  12.2.1              12.2.1   
0       0  champion  standAloneComplex  12.2.1              12.2.1   
0       0  champion  standAloneComplex  12.2.1              12.2.1   
0       0  champion  standAloneComplex  12.2.1              12.2.1   

   data.Aatrox.id data.Aatrox.key data.Aatrox.name data.Aatrox.title  \
0          Aatrox             266           Aatrox  the Darkin Blade   
0          Aatrox             266           Aatrox  the Darkin Blade   
0          Aatrox             266           Aatrox  the Darkin Blade   
0          Aatrox             266           Aatrox  the Darkin Blade   
0          Aatrox             266           Aatrox  the Darkin Blade   
..            ...             ...              ...               ...   
0          Aatrox             266           Aatrox  the Darkin Blade   
0          Aatrox             266           Aatrox  the Darkin Blade   
0          Aatrox             266           Aatrox  the Darkin Blade   
0          Aatrox             266           Aatrox  the Darkin Blade   
0          Aatrox             266           Aatrox  the Darkin Blade   

                                    data.Aatrox.blurb  ...  \
0   Once honored defenders of Shurima against the ...  ...   
0   Once honored defenders of Shurima against the ...  ...   
0   Once honored defenders of Shurima against the ...  ...   
0   Once honored defenders of Shurima against the ...  ...   
0   Once honored defenders of Shurima against the ...  ...   
..                                                ...  ...   
0   Once honored defenders of Shurima against the ...  ...   
0   Once honored defenders of Shurima against the ...  ...   
0   Once honored defenders of Shurima against the ...  ...   
0   Once honored defenders of Shurima against the ...  ...   
0   Once honored defenders of Shurima against the ...  ...   

    data.Akshan.stats.crit  data.Akshan.stats.critperlevel  \
0                        0                               0   
0                        0                               0   
0                        0                               0   
0                        0                               0   
0                        0                               0   
..                     ...                             ...   
0                        0                               0   
0                        0                               0   
0                        0                               0   
0                        0                               0   
0                        0                               0   

    data.Akshan.stats.attackdamage  data.Akshan.stats.attackdamageperlevel  \
0                               52                                     3.5   
0                               52                                     3.5   
0                               52                                     3.5   
0                               52                                     3.5   
0                               52                                     3.5   
..                             ...                                     ...   
0                               52                                     3.5   
0                               52                                     3.5   
0                               52                                     3.5   
0                               52                                     3.5   
0                               52                                     3.5   

   data.Akshan.stats.attackspeedperlevel data.Akshan.stats.attackspeed  \
0                                      4                         0.638   
0                                      4                         0.638   
0                                      4                         0.638   
0                                      4                         0.638   
0                                      4                         0.638   
..                                   ...                           ...   
0                                      4                         0.638   
0                                      4                         0.638   
0                                      4                         0.638   
0                                      4                         0.638   
0                                      4                         0.638   

   data.Aatrox.tags  data.Ahri.tags  data.Akali.tags  data.Akshan.tags  
0           Fighter            Mage         Assassin          Marksman  
0           Fighter            Mage         Assassin          Assassin  
0           Fighter            Mage         Assassin          Marksman  
0           Fighter            Mage         Assassin          Assassin  
0           Fighter            Mage         Assassin          Marksman  
..              ...             ...              ...               ...  
0              Tank        Assassin         Assassin          Assassin  
0              Tank        Assassin         Assassin          Marksman  
0              Tank        Assassin         Assassin          Assassin  
0              Tank        Assassin         Assassin          Marksman  
0              Tank        Assassin         Assassin          Assassin  

[8192 rows x 160 columns]
listOfNumbers = ['266', '166', '123', '283']
df_sub = df[df['data.Aatrox.key'].isin(listOfNumbers)]
-----------------------
from flatten_json import flatten
import pandas as pd


def flatten_nested_json_df(df):
    df = df.reset_index()
    s = (df.applymap(type) == list).all()
    list_columns = s[s].index.tolist()
    
    s = (df.applymap(type) == dict).all()
    dict_columns = s[s].index.tolist()

    
    while len(list_columns) > 0 or len(dict_columns) > 0:
        new_columns = []

        for col in dict_columns:
            horiz_exploded = pd.json_normalize(df[col]).add_prefix(f'{col}.')
            horiz_exploded.index = df.index
            df = pd.concat([df, horiz_exploded], axis=1).drop(columns=[col])
            new_columns.extend(horiz_exploded.columns) # inplace

        for col in list_columns:
            #print(f"exploding: {col}")
            df = df.drop(columns=[col]).join(df[col].explode().to_frame())
            new_columns.append(col)

        s = (df[new_columns].applymap(type) == list).all()
        list_columns = s[s].index.tolist()

        s = (df[new_columns].applymap(type) == dict).all()
        dict_columns = s[s].index.tolist()
    return df

json = json.dumps(data) 
df = pd.json_normalize(data)
flatten_nested_json_df(df)

 index      type             format version data.Aatrox.version  \
0       0  champion  standAloneComplex  12.2.1              12.2.1   
0       0  champion  standAloneComplex  12.2.1              12.2.1   
0       0  champion  standAloneComplex  12.2.1              12.2.1   
0       0  champion  standAloneComplex  12.2.1              12.2.1   
0       0  champion  standAloneComplex  12.2.1              12.2.1   
..    ...       ...                ...     ...                 ...   
0       0  champion  standAloneComplex  12.2.1              12.2.1   
0       0  champion  standAloneComplex  12.2.1              12.2.1   
0       0  champion  standAloneComplex  12.2.1              12.2.1   
0       0  champion  standAloneComplex  12.2.1              12.2.1   
0       0  champion  standAloneComplex  12.2.1              12.2.1   

   data.Aatrox.id data.Aatrox.key data.Aatrox.name data.Aatrox.title  \
0          Aatrox             266           Aatrox  the Darkin Blade   
0          Aatrox             266           Aatrox  the Darkin Blade   
0          Aatrox             266           Aatrox  the Darkin Blade   
0          Aatrox             266           Aatrox  the Darkin Blade   
0          Aatrox             266           Aatrox  the Darkin Blade   
..            ...             ...              ...               ...   
0          Aatrox             266           Aatrox  the Darkin Blade   
0          Aatrox             266           Aatrox  the Darkin Blade   
0          Aatrox             266           Aatrox  the Darkin Blade   
0          Aatrox             266           Aatrox  the Darkin Blade   
0          Aatrox             266           Aatrox  the Darkin Blade   

                                    data.Aatrox.blurb  ...  \
0   Once honored defenders of Shurima against the ...  ...   
0   Once honored defenders of Shurima against the ...  ...   
0   Once honored defenders of Shurima against the ...  ...   
0   Once honored defenders of Shurima against the ...  ...   
0   Once honored defenders of Shurima against the ...  ...   
..                                                ...  ...   
0   Once honored defenders of Shurima against the ...  ...   
0   Once honored defenders of Shurima against the ...  ...   
0   Once honored defenders of Shurima against the ...  ...   
0   Once honored defenders of Shurima against the ...  ...   
0   Once honored defenders of Shurima against the ...  ...   

    data.Akshan.stats.crit  data.Akshan.stats.critperlevel  \
0                        0                               0   
0                        0                               0   
0                        0                               0   
0                        0                               0   
0                        0                               0   
..                     ...                             ...   
0                        0                               0   
0                        0                               0   
0                        0                               0   
0                        0                               0   
0                        0                               0   

    data.Akshan.stats.attackdamage  data.Akshan.stats.attackdamageperlevel  \
0                               52                                     3.5   
0                               52                                     3.5   
0                               52                                     3.5   
0                               52                                     3.5   
0                               52                                     3.5   
..                             ...                                     ...   
0                               52                                     3.5   
0                               52                                     3.5   
0                               52                                     3.5   
0                               52                                     3.5   
0                               52                                     3.5   

   data.Akshan.stats.attackspeedperlevel data.Akshan.stats.attackspeed  \
0                                      4                         0.638   
0                                      4                         0.638   
0                                      4                         0.638   
0                                      4                         0.638   
0                                      4                         0.638   
..                                   ...                           ...   
0                                      4                         0.638   
0                                      4                         0.638   
0                                      4                         0.638   
0                                      4                         0.638   
0                                      4                         0.638   

   data.Aatrox.tags  data.Ahri.tags  data.Akali.tags  data.Akshan.tags  
0           Fighter            Mage         Assassin          Marksman  
0           Fighter            Mage         Assassin          Assassin  
0           Fighter            Mage         Assassin          Marksman  
0           Fighter            Mage         Assassin          Assassin  
0           Fighter            Mage         Assassin          Marksman  
..              ...             ...              ...               ...  
0              Tank        Assassin         Assassin          Assassin  
0              Tank        Assassin         Assassin          Marksman  
0              Tank        Assassin         Assassin          Assassin  
0              Tank        Assassin         Assassin          Marksman  
0              Tank        Assassin         Assassin          Assassin  

[8192 rows x 160 columns]
listOfNumbers = ['266', '166', '123', '283']
df_sub = df[df['data.Aatrox.key'].isin(listOfNumbers)]
-----------------------
import json

#Load your json or manually declare your json here 
with open('yourfile.json') as f:
  Data= json.load(f) 

#This the main code for accesing the value and get the result 
Temp_Data=Data['data']
result_list=[]
listOfNumbers =[266,166,123,283]
for data,data_info in Temp_Data.items():
    key_value=int(Temp_Data[data]['key'])
    if key_value in listOfNumbers:
        result_list.append(data)
print(result_list)

How to work with variables in assembly x86

copy iconCopydownload iconDownload
.DATA
a db 3, 4 dup (0)
b db 3, 4 dup (0)
mov bx, offset a
mov ah, [bx+2]     ; The tens ["0","9"]
mov al, [bx+3]     ; The ones ["0","9"]
sub ax, "00"       ; Converting to [0,9] on both at the same time
aad                ; Combining both: AX = (AH * 10) + AL
mov ax,0   ; Initial result, i.e. m^0
power:
    jcxz power_done
    mul bx
    loop power
power_done:
-----------------------
.DATA
a db 3, 4 dup (0)
b db 3, 4 dup (0)
mov bx, offset a
mov ah, [bx+2]     ; The tens ["0","9"]
mov al, [bx+3]     ; The ones ["0","9"]
sub ax, "00"       ; Converting to [0,9] on both at the same time
aad                ; Combining both: AX = (AH * 10) + AL
mov ax,0   ; Initial result, i.e. m^0
power:
    jcxz power_done
    mul bx
    loop power
power_done:
-----------------------
.DATA
a db 3, 4 dup (0)
b db 3, 4 dup (0)
mov bx, offset a
mov ah, [bx+2]     ; The tens ["0","9"]
mov al, [bx+3]     ; The ones ["0","9"]
sub ax, "00"       ; Converting to [0,9] on both at the same time
aad                ; Combining both: AX = (AH * 10) + AL
mov ax,0   ; Initial result, i.e. m^0
power:
    jcxz power_done
    mul bx
    loop power
power_done:

Merge Sort using sentinels in C# produces weird outputs

copy iconCopydownload iconDownload
for (int i = 0; i < leftArrayLength; i++)
{
    left[i] = arr[lowerIndex + i];
}
for (int j = 0; j < rightArrayLength; j++)
{
   right[j] = arr[midIndex + 1 + j];
} 
-----------------------
for (int i = 0; i < leftArrayLength; i++)
{
    left[i] = arr[lowerIndex + i];
}
for (int j = 0; j < rightArrayLength; j++)
{
   right[j] = arr[midIndex + 1 + j];
} 

How to correlate two entries when one of them is a number and the other is a range

copy iconCopydownload iconDownload
let A = datatable(a:int) [9, 25, 2];
let B = datatable(b:int, c:int) [3,13, 1,2];
A
| extend dummy = 1
| join kind=inner (B | extend dummy =1) on dummy
| where a between (b .. c)
| project-away dummy*

Creating a module subclass in a Python extension

copy iconCopydownload iconDownload
...
// copied from moduleobject.c
static int
module_init_dict(struct testmod_s* mod, PyObject* md_dict,
    PyObject* name, PyObject* doc)
{
    _Py_IDENTIFIER(__name__);
    _Py_IDENTIFIER(__doc__);
    _Py_IDENTIFIER(__package__);
    _Py_IDENTIFIER(__loader__);
    _Py_IDENTIFIER(__spec__);

    if (md_dict == NULL)
        return -1;
    if (doc == NULL)
        doc = Py_None;

    if (_PyDict_SetItemId(md_dict, &PyId___name__, name) != 0)
        return -1;
    if (_PyDict_SetItemId(md_dict, &PyId___doc__, doc) != 0)
        return -1;
    if (_PyDict_SetItemId(md_dict, &PyId___package__, Py_None) != 0)
        return -1;
    if (_PyDict_SetItemId(md_dict, &PyId___loader__, Py_None) != 0)
        return -1;
    if (_PyDict_SetItemId(md_dict, &PyId___spec__, Py_None) != 0)
        return -1;
    if (PyUnicode_CheckExact(name)) {
        Py_INCREF(name);
        Py_XSETREF(mod->md_name, name);
    }

    return 0;
}

static PyObject* testmod_create(PyObject* spec, PyModuleDef* def)
{
    struct testmod_s* module = PyObject_GC_New(struct testmod_s, &testmodtype);
    if (module == NULL) {
        return NULL;
    }
    PyObject* name = PyUnicode_FromString("testmod");
    if (name == NULL) {
        Py_DECREF(module);
        return 0;
    }
    module->md_def = NULL;
    module->md_state = NULL;
    module->md_weaklist = NULL;
    module->md_name = NULL;
    module->md_dict = PyDict_New();
    int cr = module_init_dict(module, module->md_dict, name, NULL);
    Py_DECREF(name);
    if (cr != 0) {
        Py_DECREF(module);
        return NULL;
    }

    return (PyObject*)module;
}

List all Anti-Virus via PowerShell

copy iconCopydownload iconDownload
$av = Get-CimInstance -Namespace root/SecurityCenter2 -ClassName AntivirusProduct
if($av.Count -gt 1) # if more than 1 AV was found, show them
{
    $av | ForEach-Object -Begin {
        '[INFO] Multiple Anti-Virus are installed on this machine:'
        '[INFO] - {0}' -f [datetime]::now
    } -Process {
        'DisplayName: {0}' -f $_.DisplayName
    }
}
if($false -or $false -or $true){ $true } # => $true
$false -or $true -eq 'anystring' # => $true
$true -eq 'anystring'            # => $true
$true -eq [string]::Empty        # => $false
$true -eq ''                     # => $false
-----------------------
$av = Get-CimInstance -Namespace root/SecurityCenter2 -ClassName AntivirusProduct
if($av.Count -gt 1) # if more than 1 AV was found, show them
{
    $av | ForEach-Object -Begin {
        '[INFO] Multiple Anti-Virus are installed on this machine:'
        '[INFO] - {0}' -f [datetime]::now
    } -Process {
        'DisplayName: {0}' -f $_.DisplayName
    }
}
if($false -or $false -or $true){ $true } # => $true
$false -or $true -eq 'anystring' # => $true
$true -eq 'anystring'            # => $true
$true -eq [string]::Empty        # => $false
$true -eq ''                     # => $false
-----------------------
$av = Get-CimInstance -Namespace root/SecurityCenter2 -ClassName AntivirusProduct
if($av.Count -gt 1) # if more than 1 AV was found, show them
{
    $av | ForEach-Object -Begin {
        '[INFO] Multiple Anti-Virus are installed on this machine:'
        '[INFO] - {0}' -f [datetime]::now
    } -Process {
        'DisplayName: {0}' -f $_.DisplayName
    }
}
if($false -or $false -or $true){ $true } # => $true
$false -or $true -eq 'anystring' # => $true
$true -eq 'anystring'            # => $true
$true -eq [string]::Empty        # => $false
$true -eq ''                     # => $false
-----------------------
#requires -RunAsAdministrator

$AVList = @(Get-CimInstance -Namespace 'root/SecurityCenter2' -ClassName 'AntivirusProduct')

switch ($AVList.Count)
#switch (0)
#switch (3)
    {
    0 {Write-Warning 'No AV product detected.'}
    1 {
        Write-Host 'There is just one AV product installed.'
        Write-Host ('    DisplayName = {0}' -f $AVList.displayName)
        }
    default
        {
        Write-Warning ('There are {0} AV products installed on this system.' -f $AVList.Count)
        Write-Warning ('    DisplayNames = {0}' -f ($AVList.displayName -join ', '))
        }
    }
There is just one AV product installed.
    DisplayName = Windows Defender
WARNING: There are 1 AV products installed on this system.
WARNING:     DisplayNames = Windows Defender
-----------------------
#requires -RunAsAdministrator

$AVList = @(Get-CimInstance -Namespace 'root/SecurityCenter2' -ClassName 'AntivirusProduct')

switch ($AVList.Count)
#switch (0)
#switch (3)
    {
    0 {Write-Warning 'No AV product detected.'}
    1 {
        Write-Host 'There is just one AV product installed.'
        Write-Host ('    DisplayName = {0}' -f $AVList.displayName)
        }
    default
        {
        Write-Warning ('There are {0} AV products installed on this system.' -f $AVList.Count)
        Write-Warning ('    DisplayNames = {0}' -f ($AVList.displayName -join ', '))
        }
    }
There is just one AV product installed.
    DisplayName = Windows Defender
WARNING: There are 1 AV products installed on this system.
WARNING:     DisplayNames = Windows Defender
-----------------------
#requires -RunAsAdministrator

$AVList = @(Get-CimInstance -Namespace 'root/SecurityCenter2' -ClassName 'AntivirusProduct')

switch ($AVList.Count)
#switch (0)
#switch (3)
    {
    0 {Write-Warning 'No AV product detected.'}
    1 {
        Write-Host 'There is just one AV product installed.'
        Write-Host ('    DisplayName = {0}' -f $AVList.displayName)
        }
    default
        {
        Write-Warning ('There are {0} AV products installed on this system.' -f $AVList.Count)
        Write-Warning ('    DisplayNames = {0}' -f ($AVList.displayName -join ', '))
        }
    }
There is just one AV product installed.
    DisplayName = Windows Defender
WARNING: There are 1 AV products installed on this system.
WARNING:     DisplayNames = Windows Defender

Community Discussions

Trending Discussions on Sentinel
  • Bitnami Redis Sentinel &amp; Sidekiq on Kubernetes
  • GCP Dataproc - cluster creation failing when using connectors.sh in initialization-actions
  • Are view iterators valid beyond the lifetime of the view?
  • TypeError: Object of type Mock is not JSON serializable
  • Best way to navigate a nested JSON in Python?
  • How to work with variables in assembly x86
  • Merge Sort using sentinels in C# produces weird outputs
  • How to correlate two entries when one of them is a number and the other is a range
  • Creating a module subclass in a Python extension
  • Discord.py error while trying to create a private channel
Trending Discussions on Sentinel

QUESTION

Bitnami Redis Sentinel &amp; Sidekiq on Kubernetes

Asked 2022-Mar-08 at 20:51

So right now we are trying to get a Bitnami Redis Sentinel cluster working, together with our Rails app + Sidekiq.

We tried different things, but it's not really clear to us, how we should specify the sentinels for Sidekiq (crutial part is here, that the sentinel nodes are READ ONLY, so we cannot use them for sidekiq, since job states get written).

Since on Kubernetes there are only 2 services available: "redis" and "redis-headless" (not sure how they differ?) - how can I specify the sentinels like this:

Sidekiq.configure_server do |config|
  config.redis = {
    url: "redis",
    sentinels: [
      { host: "?", port: 26379 } # why do we have to specify it here seperately, since we should be able to get a unified answer via a service, or?
      { host: "?", port: 26379 }  
      { host: "?", port: 26379 } 
    }
  }
end

Would be nice if someone can shed some light on this. As far as I understood, the bitnami redis sentiel only returns the IP of the master and the application has to handle the corresponding writes to this master then (https://github.com/bitnami/charts/tree/master/bitnami/redis#master-replicas-with-sentinel) - but I really don't understand on how to do this with sidekiq?

ANSWER

Answered 2022-Mar-08 at 20:51

Difference between a Kubernetes Service and a Headless Service

Let's get started by clarifying the difference between a Headless Service and a Service.

A Service allows one to connect to one Pod, while a headless Service returns the list of available IP addresses from all the available pods, allowing to auto-discover.

A better detailed explanation by Marco Luksa has been published on SO here:

Each connection to the service is forwarded to one randomly selected backing pod. But what if the client needs to connect to all of those pods? What if the backing pods themselves need to each connect to all the other backing pods. Connecting through the service clearly isn’t the way to do this. What is?

For a client to connect to all pods, it needs to figure out the the IP of each individual pod. One option is to have the client call the Kubernetes API server and get the list of pods and their IP addresses through an API call, but because you should always strive to keep your apps Kubernetes-agnostic, using the API server isn’t ideal

Luckily, Kubernetes allows clients to discover pod IPs through DNS lookups. Usually, when you perform a DNS lookup for a service, the DNS server returns a single IP — the service’s cluster IP. But if you tell Kubernetes you don’t need a cluster IP for your service (you do this by setting the clusterIP field to None in the service specification ), the DNS server will return the pod IPs instead of the single service IP. Instead of returning a single DNS A record, the DNS server will return multiple A records for the service, each pointing to the IP of an individual pod backing the service at that moment. Clients can therefore do a simple DNS A record lookup and get the IPs of all the pods that are part of the service. The client can then use that information to connect to one, many, or all of them.

Setting the clusterIP field in a service spec to None makes the service headless, as Kubernetes won’t assign it a cluster IP through which clients could connect to the pods backing it.

"Kubernetes in Action" by Marco Luksa

How to specify the sentinels

As the Redis documentation say:

When using the Sentinel support you need to specify a list of sentinels to connect to. The list does not need to enumerate all your Sentinel instances, but a few so that if one is down the client will try the next one. The client is able to remember the last Sentinel that was able to reply correctly and will use it for the next requests.

So the idea is to give what you have, and if you scale up the redis pods, then you don't need to re-configure Sidekiq (or Rails if you're using Redis for caching).

Combining all together

Now you just need a way to fetch the IP addresses from the headless service in Ruby, and configure Redis client sentinels.

Fortunately, since Ruby 2.5.0, the Resolv class is available and can do that for you.

irb(main):007:0> Resolv.getaddresses "redis-headless"
=> ["172.16.105.95", "172.16.105.194", "172.16.9.197"]

So that you could do:

Sidekiq.configure_server do |config|
  config.redis = {
    # This `host` parameter is used by the Redis gem with the Redis command
    # `get-master-addr-by-name` (See https://redis.io/topics/sentinel#obtaining-the-address-of-the-current-master)
    # in order to retrieve the current Redis master IP address.
    host: "mymaster",
    sentinels: Resolv.getaddresses('redis-headless').map do |address|
      { host: address, port: 26379 }
    end
  }
end

That will create an Array of Hashes with the IP address as host: and 26379 as the port:.

Source https://stackoverflow.com/questions/71062644

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Sentinel

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Support

See the Sentinel for the document website. See the 中文文档 for document in Chinese. See the Wiki for full documentation, examples, blog posts, operational details and other information. Sentinel provides integration modules for various open-source frameworks (e.g. Spring Cloud, Apache Dubbo, gRPC, Spring WebFlux, Reactor) and service mesh. You can refer to the document for more information. If you are using Sentinel, please leave a comment here to tell us your scenario to make Sentinel better. It's also encouraged to add the link of your blog post, tutorial, demo or customized components to Awesome Sentinel.

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