I am using Spring-batch 3.0.4 stable. While submitting a job I add some specific parameters to its execution, say, a tag. Jobs information is persisted in the DB.
Later on I will need to retrieve all the executions marked with a particular tag.
Currently I see 2 options:
Get all job instances with org.springframework.batch.core.explore.JobExplorer#findJobInstancesByJobName. For each instance get all available executions with org.springframework.batch.core.explore.JobExplorer#getJobExecutions. Filter the resulting collection of executions checking its JobParameters.
Write my own JdbcTemplate-based DAO implementation to run the select query.
While the former option seems pretty inefficient, the latter one suggests writing extra code to deal with the Spring-specific database tables structure.
Is there any option I am missing here?
Related
I need to export some database of arround 180k objects to JSON files so I can retain data structure in certain way that suits me for later import to other database. However because of amount of data, I wanto to separate and group data based on some atribute value from database records itself. So all records that have attribute1=value1, I want to go to value1.json, value2.json and so on.
However I still haven't figured out how to do this kind of job. I am using RepositoryItemReader and JsonFileWriter.
I started by filtering data on that attribute and running separate exports, just to verify that works, however I need to do this so I can automate whole process and let it work.
Can this be done?
There are several ways to do that. Here are a couple of options:
Option 1: parallel steps
You start by creating a tasklet that calculates the distinct values of the attribute you want to group items by, and you put this information in the job execution context.
After that, you create a flow with a chunk-oriented step for each value. Each chunk-oriented step would process a distinct value and generate an output file. The item reader and writer would be step-scoped bean and dynamically configured with the information from the job execution context.
Option 2: partitioned step
Here, you would implement a Partitioner that creates a partition for each distinct value. Each worker step would then process a distinct value and generate an output file.
Both options should perform equally in your use-case. However, option 2 is easier to implement and configure in my opinion.
I have simple pipeline that has a Copy activity to populate a table. That task is based on a query and will only ever return 1 row.
The problem I am having is that I want to reuse the value from one of the columns (batch number) to set a variable so that at the end of the pipeline I can use a Stored Procedure to log that the batch was processed. I would rather avoid running the query a second time in a lookup task so can I make use of the data already being returned?
I have tried duplicating the column in the Copy activity and then mapping that to something like #BatchNo but that fails and have even tried to add a Set Variable task but can't figure out how to take a single column #{activity('Populate Aleprstw').output} does not error but not sure what that will actually do in this case.
Thanks and sorry if its a silly question.
Cheers
Mark
I always do it like this:
Generate a batch number (usually with a proc)
Use a lookup to grab it into a variable
Use the batch number in all activities (might be multiple copes, procs etc.)
Write the batch completion
From your description it seems you have the batch embedded in the data copy from the start which is not typical.
If you must do it this way, is there really an issue with running a lookup again?
Copy activity doesn't return data like that, so you won't be able to capture the results that way. With this design, running the query again in a Lookup is the best option.
Is the query in the Source running on the same Server as the Sink? If so, you could collapse the entire operation into a Stored Procedure that returns the data point you are trying to capture.
I'm using mill to build a pipeline that
cleans up a bunch of CSV files (producing new files)
loads them into a database
does more work in the database (create views, etc)
runs queries to extract some files.
Should the tasks associated with steps 2 and 3 be producing something analogous to PathRef? If so, what? They aren't producing a file on the disk but nevertheless should not be repeated unless the inputs change. Similarly, tasks associated with step 3 should run if tasks in step 2 are run again.
I see in the documentation for targets that you can return a case class and that re-evaluation depends on the .hashCode of the target's return value. But I'm not sure what to do with that information.
And a related question: Does mill hash the code in each task? It seems to be doing the right thing if I change the code for one task but not others.
A (cached) task in mill is re-run, when the build file (build.sc or it's dependencies/includes) or inputs/dependencies of that task change. Whenever you construct a PathRef, a checksum of the path content is calculated and used as hashCode. This makes it possible to detect changes and only act if anything has changed.
Of course there are exceptions, e.g. input tasks (created with T.input or T.sources) and commands (created with T.command) will always run.
It is in general a good idea to return something from a task. A simple String or Int will do, e.g. to show it in the shell with mill show myTask or post-process it later. Although I think a task running something in an external database should be implemented as a command or input task (which might check, when running, if it really needs something to do), you can also implement it as cached task. But please keep in mind, that the state will only be correct if no other process/user is changing the database in between.
That aside, You could return a current database schema/data version or a last change date in step 2. Make sure, it changes whenever the database was modified. Each change of that return value would trigger step 3 and other dependent tasks. (Of course, step 3 needs to depend on step 2.) As a bonus, you could return the same (previous/old) value in case you did not change the database, which would then avoid any later work in dependent tasks.
I am trying to generate analytics reports using high charts.
For that I need to get values from alfresco DB using Postgres query. Can any one tell me what are the tables related workflow creation and save all workflow details.
I got some references from the below link.
http://techogeek.blogspot.in/2015/09/how-retrieve-activiti-workflow-details.html
As Gagravarr suggests, don't hit the database directly and use always the workflowservice to get the data workflow related data.
ACT_RE_*: RE stands for repository. Tables with this prefix contain static information such as process definitions and process resources (images, rules, etc.).
ACT_RU_*: RU stands for runtime. These are the runtime tables that contain the runtime data of process instances, user tasks, variables, jobs, etc. Activiti only stores the runtime data during process instance execution, and removes the records when a process instance ends. This keeps the runtime tables small and fast.
ACT_ID_*: ID stands for identity. These tables contain identity information, such as users, groups, etc.
ACT_HI_*: HI stands for history. These are the tables that contain historic data, such as past process instances, variables, tasks, etc.
ACT_GE_*: general data, which is used in various use cases.
In our production org, we have a system of uploading sales data into Salesforce using command line data loader. This data is loaded into a temporary object Temp. We have created a formula field (which combines three fields) to form a unique key. The purpose of the object is to reduce user efforts for creating the key manually.
There is an after insert trigger on Temp which calls an asynchronous method which upserts the data to another object SalesData using the key. The insert/update trigger on SalesData checks the various fields and creates/updates the records in another object SalesRecords. After the insertion/updation is complete, all the records in temp object Temp are deleted. The SalesRecords object does not have any trigger on it and is a child of another object Sales. The Sales object has some rollup fields which are summing up fields from SalesRecords object.
Lately, we are getting the below error for some of the records which are updated.
UNABLE_TO_LOCK_ROW, unable to obtain exclusive access to this record
Please provide some pointers to resolve the issue
this could either be caused by conflicting DML operations in the various trigger execution or some recursive trigger execution. i would assume that the async executions cause multiple subsequent updates on the same records, probably on the SalesRecords object. I would recommend to try to simplify the process to avoid too many related trigger executions.
I'm a little surprised you were able to get this to work in the first place. After triggers should be used with caution and only when before triggers can't be. One reason for this is that you don't need to perform additional DML to make changes to records, since in before triggers you simply change the values and the insert/update commit happens automatically. But recursive trigger firings is the main problem with after triggers.
One quick way to avoid trigger re-entry is to use a public static Boolean in a class that states whether you're already in this trigger from the same thread of execution.
Something like:
public static Boolean isExecuting = false;
Once set to true, any trigger code that is a re-fire can be avoided with:
if(Class.isExecuting == false)
{
Class.isExecuting = true;
// Perform trigger logic
// ...
}
Additionally, since the order of trigger execution cannot be determined up front, you might be seeing an issue with deletions or other data changes that depend on other parts of your flow to finish first.
Also, without knowing the details of your custom unique 3-part key, I'd wonder if there's a problem there too such as whether it's truly unique or not. Case insensitivity is a common mistake and it's the reason there are 15 AND 18 character Ids in Salesforce. For example, when people export to Excel (a case-insensitive environment) and do VLOOKUPs, they would occasionally find the wrong record. The 3-digit calculated suffix was added to disambiguate for case-insensitive environments.
Googling for this same error lead me to this post:
http://boards.developerforce.com/t5/General-Development/Unable-to-obtain-exclusive-access-to-this-record/td-p/345319
Which points out some common causes for this to happen:
Sharing Rules are being calculated.
A picklist value has been replaced and replacement is in progress.
A custom index creation/removal is in progress.
Most unlikely one - someone else is already editing the same record that you are trying to access at the same time.
Posting here in case somebody else needs it.
I got this error multiple times today. Turned out one of our vendors was updating their installed package during that time in the same org. All kinds of things were going wrong also - some object validation exceptions were being thrown on DMLs, without any error message content.
Resolution
The error is shown when a field update such as a roll-up summary field is being attempted on a parent object that already had a field update to cause the roll-up summary field to calculate. This could also occur if a trigger or another apex job running on the master object and it also attempting to do an update.
You can either reduce the batch size and try again or create separate smaller files to be imported if this issue occurs.