jta-atomikos-hibernate-activemq | jta example - ReadMe Please use JDK1 | Database library

 by   davenkin Java Version: Current License: No License

kandi X-RAY | jta-atomikos-hibernate-activemq Summary

jta-atomikos-hibernate-activemq is a Java library typically used in Database applications. jta-atomikos-hibernate-activemq has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
ReadMe Please use JDK1.6/1.7, JDK8 will NOT work. Run:. (1)gradle wrapper (2)./gradlew build. No need to start standalone ActiveMq or connect to a database, as we are using embedded version for both ActiveMq and database.
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                      kandi-support Support

                        summary
                        jta-atomikos-hibernate-activemq has a low active ecosystem.
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                        It has 15 star(s) with 15 fork(s). There are 3 watchers for this library.
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                        It had no major release in the last 6 months.
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                        jta-atomikos-hibernate-activemq has no issues reported. There are no pull requests.
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                        It has a neutral sentiment in the developer community.
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                        The latest version of jta-atomikos-hibernate-activemq is current.
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                                    jta-atomikos-hibernate-activemq has 0 bugs and 1 code smells.
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                                            Average in #Database

                                              kandi-Security Security

                                                summary
                                                jta-atomikos-hibernate-activemq has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
                                                summary
                                                jta-atomikos-hibernate-activemq code analysis shows 0 unresolved vulnerabilities.
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                                                There are 0 security hotspots that need review.
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                                                    Average in #Database
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                                                            Without a license, all rights are reserved, and you cannot use the library in your applications.
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                                                                        jta-atomikos-hibernate-activemq releases are not available. You will need to build from source code and install.
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                                                                        Build file is available. You can build the component from source.
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                                                                        jta-atomikos-hibernate-activemq saves you 131 person hours of effort in developing the same functionality from scratch.
                                                                        summary
                                                                        It has 330 lines of code, 23 functions and 9 files.
                                                                        summary
                                                                        It has low code complexity. Code complexity directly impacts maintainability of the code.
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                                                                                  jta-atomikos-hibernate-activemq Key Features

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                                                                                  Community Discussions

                                                                                  Trending Discussions on Database

                                                                                  How to create or alter a DB schema dynamically (at run time) using Gramex FormHandler
                                                                                  chevron right
                                                                                  What does stopping the runtime while uploading a dataset to Hub cause?
                                                                                  chevron right
                                                                                  MongoDB query all documents contains ids that does not exist anymore in the collection
                                                                                  chevron right
                                                                                  Is it possible to change the active user for a PostgreSQL connection?
                                                                                  chevron right
                                                                                  null is not an object Sqlite + ReactNative expo Typescript
                                                                                  chevron right
                                                                                  Indexing for GROUP BY in CosmosDB
                                                                                  chevron right
                                                                                  Is there a way to implement cassandra "decimal" Datatype in Golang
                                                                                  chevron right
                                                                                  How do I copy a big database table to another in ABAP?
                                                                                  chevron right
                                                                                  Upgrade H2 version 2.0.202 from 1.4.200
                                                                                  chevron right
                                                                                  What are the backend service for flutter?
                                                                                  chevron right

                                                                                  QUESTION

                                                                                  How to create or alter a DB schema dynamically (at run time) using Gramex FormHandler
                                                                                  Asked 2022-Apr-08 at 06:35

                                                                                  I want to be able to (at run time) create or alter a DB schema dynamically on a particular event (e.g. click of a button) using FormHandler microservice of Gramex.

                                                                                  ANSWER

                                                                                  Answered 2022-Apr-08 at 06:20

                                                                                  You can do it using queryfunction of FormHandler which can modify the query based on the query parameters passed in the url.

                                                                                  Refer the link below for more https://gramener.com/gramex/guide/formhandler/#formhandler-queryfunction

                                                                                  Source https://stackoverflow.com/questions/71792397

                                                                                  QUESTION

                                                                                  What does stopping the runtime while uploading a dataset to Hub cause?
                                                                                  Asked 2022-Mar-24 at 01:06

                                                                                  I am getting the following error while trying to upload a dataset to Hub (dataset format for AI) S3SetError: Connection was closed before we received a valid response from endpoint URL: "<...>".

                                                                                  So, I tried to delete the dataset and it is throwing this error below.

                                                                                  CorruptedMetaError: 'boxes/tensor_meta.json' and 'boxes/chunks_index/unsharded' have a record of different numbers of samples. Got 0 and 6103 respectively.

                                                                                  Using Hub version: v2.3.1

                                                                                  ANSWER

                                                                                  Answered 2022-Mar-24 at 01:06

                                                                                  Seems like when you were uploading the dataset the runtime got interrupted which led to the corruption of the data you were trying to upload. Using force=True while deleting should allow you to delete it.

                                                                                  For more information feel free to check out the Hub API basics docs for details on how to delete datasets in Hub.

                                                                                  If you stop uploading a Hub dataset midway through your dataset will be only partially uploaded to Hub. So, you will need to restart the upload. If you would like to re-create the dataset, you can use the overwrite = True flag in hub.empty(overwrite = True). If you are making updates to an existing dataset, you should use version control to checkpoint the states that are in good shape.

                                                                                  Source https://stackoverflow.com/questions/71595867

                                                                                  QUESTION

                                                                                  MongoDB query all documents contains ids that does not exist anymore in the collection
                                                                                  Asked 2022-Mar-02 at 03:10

                                                                                  I ran into an issue that I haven't found a solution to yet. I have a collection with dozens of documents that every one of the documents contains a list (let's use the name 'list' as a key for that list) with ids of other documents(they are connected in some way).

                                                                                  some of the documents in the collection were deleted and I try to find all the documents that contain the ids of documents that do not exist anymore in the collection.

                                                                                  example:

                                                                                  As to the example above: I want to get the document with the id : 5e3266e9bd724a000107a902 because it contains a list with the id 5e32a7f7bd724a00012c1104 that does not exist anymore.

                                                                                  ANSWER

                                                                                  Answered 2022-Mar-02 at 03:10

                                                                                  Here is a solution that works exploiting $lookup on the same collection (think "self-JOIN"):

                                                                                  var r = [
                                                                                      {_id: 0, aa: [ 10, 11, 12 ] }
                                                                                      ,{_id: 1, aa: [ 10, 11, 12 ] }
                                                                                      ,{_id: 2, aa: [ 20, 21, 22 ] }  // 21 is on watch list...
                                                                                      ,{_id: 3, aa: [ 21, 20, 12 ] }  // this one too and 21 is in different position
                                                                                      ,{_id: 4, aa: [ 10, 22, 12 ] }  
                                                                                      ,{_id: 5, aa: [ 10, 22, 23 ] }  // this one too...
                                                                                      ,{_id: 6, aa: [ 10, 22, 21, 23 ] }  // this one has BOTH 21 and 23
                                                                                  
                                                                                      ,{_id: 10, X:10}
                                                                                      ,{_id: 11, X:11}
                                                                                      ,{_id: 12, X:12}
                                                                                      ,{_id: 20, X:20}
                                                                                      ,{_id: 21, X:21}
                                                                                      ,{_id: 22, X:22}
                                                                                      ,{_id: 23, X:23}
                                                                                  ];
                                                                                  
                                                                                  db.foo.insert(r);
                                                                                  
                                                                                  // Here is the whole thing:                                                                    
                                                                                  db.foo.aggregate([ ]);
                                                                                  
                                                                                  // Delete _id 21 and 23:                                                                            
                                                                                  db.foo.remove({_id: 21});
                                                                                  db.foo.remove({_id: 23});
                                                                                  
                                                                                  // Double check:                                                                               
                                                                                  c = db.foo.aggregate([ ]);
                                                                                                                                                                   
                                                                                  
                                                                                  // Where does id 21 and/or 23 NOT exist anymore?  Note we don't ask for 21 or 23.
                                                                                  // We just know we expect a query to return docs that indicate 21 and/or 23
                                                                                  // are no longer there:                                                       
                                                                                  c = db.foo.aggregate([
                                                                                      // NOTE!  By using localField:'aa', we are asking for EACH element in the
                                                                                      // array to be used as a value to match to _id (in the same collection):
                                                                                      {$lookup: {from: 'foo', localField: 'aa', foreignField: '_id', as: 'X'}},
                                                                                  
                                                                                      // Exploit "make a list of scalars from array of objects" notation by taking
                                                                                      // input array $X and taking the _id field out:
                                                                                      {$project: {X: {$setDifference: ["$aa", "$X._id"] }} },
                                                                                  
                                                                                      // Keep those that match -- and protect against against empty sets
                                                                                      // with $ifNull to turn a null into an array of len 0:
                                                                                      {$match: {$expr: {$gt:[{$size: {$ifNull:['$X',[]]}}, 0]}} }
                                                                                  ]);
                                                                                  
                                                                                  { "_id" : 2, "X" : [ 21 ] }
                                                                                  { "_id" : 3, "X" : [ 21 ] }
                                                                                  { "_id" : 5, "X" : [ 23 ] }
                                                                                  { "_id" : 6, "X" : [ 21, 23 ] }
                                                                                  

                                                                                  Source https://stackoverflow.com/questions/71313345

                                                                                  QUESTION

                                                                                  Is it possible to change the active user for a PostgreSQL connection?
                                                                                  Asked 2022-Mar-02 at 02:49

                                                                                  Given a connection to the PostgreSQL database for user 'Alice', is there a statement that could be executed to switch to user 'Bob'?

                                                                                  Motivation: Looking to avoid having separate pools for each user (i.e. re-use a connection that was previously used by another user).

                                                                                  ANSWER

                                                                                  Answered 2022-Mar-01 at 22:09

                                                                                  In PgAdmin open part Login/Group roles. Right click and in opened window enter new user, set permission and defined password. After refresh you will see e.g. Alice in Login/Group roles. After that open database with logged user. Click on something like mondial/postgres@PostgresSQL (db/user@server) and choose new connection. Chose which db wish to use and user wich will be connected on db.

                                                                                  After that you will have mondial/Alice@PostgresSQL

                                                                                  Source https://stackoverflow.com/questions/71315070

                                                                                  QUESTION

                                                                                  null is not an object Sqlite + ReactNative expo Typescript
                                                                                  Asked 2022-Feb-28 at 12:43

                                                                                  I made login page and now i'm trying to replace simple user.js to Sqlite Database (react-native-sqlite-storage). When i launch my project with database, i get this error.

                                                                                  My Code

                                                                                  import {openDatabase} from 'react-native-sqlite-storage';
                                                                                  var db = openDatabase({name : 'UserDatabase.db'});
                                                                                  const SignInScreen = ({navigation}) => {
                                                                                  const [userName, setuserName] = useState();
                                                                                  const [userContact, setuserContact] = useState();
                                                                                  const [userAddress, setuserAddress] = useState();
                                                                                  let register_user = () =>
                                                                                  {
                                                                                      console.log(userName, userContact, userAddress);
                                                                                  db.transaction(function(tx)
                                                                                  {
                                                                                      tx.executeSql(
                                                                                          'INSERT INTO table_user(user_name, user_name, user_password) VALUES(?, ?,?)',
                                                                                      [userName, userContact, userAddress],
                                                                                      (tx, result) =>
                                                                                      {console.log('Result', result.rowAffected);
                                                                                      if (result.rowAffected > 0)
                                                                                      {
                                                                                      onPress: () => navigation.navigate('HomeScreen')
                                                                                      }
                                                                                      }
                                                                                          )
                                                                                  })}
                                                                                  //And Button
                                                                                     {register_user}}
                                                                                              >
                                                                                                  
                                                                                       Check //Here linegradient 1)
                                                                                           
                                                                                      
                                                                                   
                                                                                  

                                                                                  ANSWER

                                                                                  Answered 2022-Feb-28 at 12:43

                                                                                  The problem consist from creating connection in separate file (must be create in App).

                                                                                  Source https://stackoverflow.com/questions/71282268

                                                                                  QUESTION

                                                                                  Indexing for GROUP BY in CosmosDB
                                                                                  Asked 2022-Feb-28 at 09:33

                                                                                  As the title suggests I'm wondering how to create an effective index for GROUP BY queries in CosmosDB.

                                                                                  Say the documents look something like:

                                                                                  {
                                                                                      "pk": "12345",
                                                                                      "speed": 500
                                                                                  },
                                                                                  {
                                                                                      "pk": "6789",
                                                                                      "speed": 100
                                                                                  }
                                                                                  

                                                                                  Doing a query to find out the SUM of the speed grouped by the partition key would look something like:

                                                                                  SELECT c.pk, SUM(c.speed) FROM c WHERE c.pk IN ('12345','6789') GROUP BY c.pk
                                                                                  

                                                                                  With about ~1.6 million documents this query costs 1489.51 RUs. However, splitting this up into two queries such as:

                                                                                  SELECT SUM(c.speed) FROM c WHERE c.pk = '12345'
                                                                                  
                                                                                  SELECT SUM(c.speed) FROM c WHERE c.pk = '6789'
                                                                                  

                                                                                  each of them cost only ~2.8 RUs each. Obviously the results would need some post-processing compared to the GROUP BY query to match. But a total of 5.6 RUs compared to 1489 RUs makes it worth it.

                                                                                  The indexing on the collection is as follows:

                                                                                  {
                                                                                      "indexingMode": "consistent",
                                                                                      "automatic": true,
                                                                                      "includedPaths": [
                                                                                          {
                                                                                              "path": "/*"
                                                                                          }
                                                                                      ],
                                                                                      "excludedPaths": [
                                                                                          {
                                                                                              "path": "/\"_etag\"/?"
                                                                                          }
                                                                                      ],
                                                                                      "compositeIndexes": [
                                                                                          [
                                                                                              {
                                                                                                  "path": "/pk",
                                                                                                  "order": "ascending"
                                                                                              },
                                                                                              {
                                                                                                  "path": "/speed",
                                                                                                  "order": "ascending"
                                                                                              }
                                                                                          ]
                                                                                      ]
                                                                                  }
                                                                                  

                                                                                  Am I completely missing something or how can the GROUP BY be so much more expensive? Is there any indexing I can do to bring it down?

                                                                                  Thanks in advance!

                                                                                  ANSWER

                                                                                  Answered 2021-Sep-27 at 20:51

                                                                                  Currently GROUP BY does not not yet use the index.

                                                                                  This is currently being worked on. I would revisit sometime towards the end of the year to verify it is supported.

                                                                                  Source https://stackoverflow.com/questions/69348335

                                                                                  QUESTION

                                                                                  Is there a way to implement cassandra "decimal" Datatype in Golang
                                                                                  Asked 2022-Feb-15 at 12:13

                                                                                  i have a database field that is set to decimal, while in my Go project i am having problem choosing which datatype can be use. each time i send a create reuquest to my code, i get a "cannot marshal 'decimal' into #golang datatype#

                                                                                  this my database schema

                                                                                  CREATE TABLE wage_garnishment(
                                                                                  organization_id timeuuid,
                                                                                  yyyy text,
                                                                                  employee_id timeuuid,
                                                                                  id timeuuid,
                                                                                  employee_name text,
                                                                                  amount decimal,
                                                                                  deductions int,
                                                                                  date_created date,
                                                                                  date_modified date,
                                                                                  date_approved date,
                                                                                  PRIMARY KEY ((organization_id, yyyy), id)
                                                                                  

                                                                                  )

                                                                                  my golang models looks like this

                                                                                  type WageGarnishment struct {
                                                                                  ID            gocql.UUID `json:"id"`
                                                                                  organizationID            gocql.UUID `json:"organization_id"`
                                                                                  Yyyy          string     `json:"yyyy"`
                                                                                  Amount        Float64    `json:"amount"`
                                                                                  Deductions    uint       `json:"deductions"`
                                                                                  EffectiveDate time.Time  `json:"effective_date"`
                                                                                  DateCreated   time.Time  `json:"date_created"`
                                                                                  DateApproved  time.Time  `json:"date_approved"`
                                                                                  DateModified  time.Time  `json:"date_modified"`
                                                                                  EmployeeSummary
                                                                                  

                                                                                  }

                                                                                  no matter the datatype in my Amount Field I keep getting this Error:

                                                                                  Error #01: can not marshal float64 into decimal
                                                                                  

                                                                                  Thansks for your Help in Advance

                                                                                  ANSWER

                                                                                  Answered 2022-Feb-15 at 12:13

                                                                                  If you look into documentation for Gocql package, then you will see that the decimal is mapped to the Go's infDec data type (see its doc) so you need to use it instead of Float64.

                                                                                  Source https://stackoverflow.com/questions/71125652

                                                                                  QUESTION

                                                                                  How do I copy a big database table to another in ABAP?
                                                                                  Asked 2022-Feb-03 at 09:29

                                                                                  I want to copy one big database table to another. This is my current approach:

                                                                                  OPEN CURSOR WITH HOLD lv_db_cursor FOR
                                                                                    SELECT * FROM zcustomers.
                                                                                  
                                                                                  DO.
                                                                                    REFRESH gt_custom.
                                                                                    FETCH NEXT CURSOR lv_db_cursor
                                                                                      INTO TABLE  gt_custom
                                                                                      PACKAGE SIZE lv_package_size.
                                                                                  
                                                                                    IF sy-subrc NE 0.
                                                                                      CLOSE CURSOR lv_db_cursor.
                                                                                      EXIT.
                                                                                    ENDIF.
                                                                                  
                                                                                    INSERT zcustomers1 FROM TABLE gt_custom.
                                                                                  
                                                                                    * Write code to modify u r custom table from gt_custom .
                                                                                  ENDDO.
                                                                                  

                                                                                  But the problem is that I get a error "Enterprise]ASE has run out of LOCKS". I tried to use COMMIT statement after insert some piece of records, but it closes the cursor. I don't want to increase max locks by database setting or make a copy on database level. I want to understand how I can copy with best performance and low usage memory in ABAP... Thank you.

                                                                                  ANSWER

                                                                                  Answered 2022-Jan-20 at 12:45

                                                                                  You can also "copy on database level" from within ABAP SQL using a combined INSERT and SELECT:

                                                                                  INSERT zcustomers1 FROM ( SELECT * FROM zcustomers ).
                                                                                  

                                                                                  Unlike the other solution, this runs in one single transaction (no inconsistency on the database) and avoids moving the data between the database and the ABAP server, so should be by magnitudes faster. However, like the code in question this might still run into database limits due to opening many locks during the insert (though might avoid other problems). This should be solved on database side and is not a limitation of ABAP.

                                                                                  Source https://stackoverflow.com/questions/70763128

                                                                                  QUESTION

                                                                                  Upgrade H2 version 2.0.202 from 1.4.200
                                                                                  Asked 2022-Jan-31 at 01:05
                                                                                  1. Hi, we are trying to upgrade 2.0.202 from 1.4.200. We are getting an error related to running our tests. While persisting data we are getting below error. Any suggestions?

                                                                                  Caused by: org.h2.jdbc.JdbcSQLIntegrityConstraintViolationException: NULL not allowed for column "***"; SQL statement:

                                                                                  ANSWER

                                                                                  Answered 2022-Jan-31 at 01:05

                                                                                  You cannot use H2 2.0.202 with Hibernate ORM 5.6, because H2Dialect in Hibernate ORM produces invalid SQL for H2, H2 2.x is more restrictive and doesn't accept it by default.

                                                                                  H2 2.0.204 and later versions (current version is 2.1.210) have a LEGACY compatibility mode, it can be enabled by appending ;MODE=LEGACY to JDBC URL. This mode provides some limited compatibility with old versions of H2.

                                                                                  This trick shouldn't be required for Hibernate ORM 6.0 when it will be released.

                                                                                  Edited

                                                                                  Changes for H2 2.x.y were backported to Hibernate ORM 5.6.5.

                                                                                  Source https://stackoverflow.com/questions/70818631

                                                                                  QUESTION

                                                                                  What are the backend service for flutter?
                                                                                  Asked 2022-Jan-29 at 13:44

                                                                                  I am confused in choosing database service for my flutter application. I started using firebase but as it is based on NoSQL , But if i am getting the need for rows and columns for my data which backend service should i use!.

                                                                                  ANSWER

                                                                                  Answered 2022-Jan-23 at 23:20

                                                                                  I think it depends on how you want to access the data. If you're wanting to stream and push notifications, I would stick with Firebase. If you just need to get and post data, focus more on api implementation. With a solid rest api, you can change up your database/backend all you want and just have to update the api, not your app.

                                                                                  I, personally, suggest searching around for data modeling techniques in Firebase. Check out the Fireship channel on youtube. In his channel's videos, search for modeling and you'll find a ton of info on Firebase data modeling. Many will reference Angular, but the techniques are the same.

                                                                                  Source https://stackoverflow.com/questions/70827265

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

                                                                                  Vulnerabilities

                                                                                  No vulnerabilities reported

                                                                                  Install jta-atomikos-hibernate-activemq

                                                                                  You can download it from GitHub.
                                                                                  You can use jta-atomikos-hibernate-activemq 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 jta-atomikos-hibernate-activemq 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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                                                                                  For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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