classifier spring

spring - how to use classifier with classifiercompositeitemwriter? - stack overflow

spring - how to use classifier with classifiercompositeitemwriter? - stack overflow

I am reading a basic CSV File and i want to write them do a database. Depending on the data (Name + Name1) either write it to a simple ItemWriter or use a compositeItemwriter (that writes to two different Tables)...

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spring batch - classifier composite item writer

spring batch - classifier composite item writer

In this example, we'll take a look at the ClassifierCompositeItemWriter API of the Spring Batch which helps to classify the item based on certain conditions to route the data to respective destination.

Interface for a classifier. At its simplest a Classifier is just a map from objects of one type to objects of another type. Note that implementations can only be serializable if the parameter types are themselves serializable.

FlatFileItemReader - Restartable ItemReader that reads lines from input setResource(Resource). Line is defined by the setRecordSeparatorPolicy(RecordSeparatorPolicy) and mapped to item using setLineMapper(LineMapper). If an exception is thrown during line mapping it is rethrown as FlatFileParseException adding information about the problematic line and its line number.

StaxEventItemWriter - An implementation of ItemWriter which uses StAX and Marshaller for serializing object to XML. This item writer also provides restart, statistics and transaction features by implementing corresponding interfaces. The implementation is not thread-safe.

ClassifierCompositeItemWriter - Calls one of a collection of ItemWriters for each item, based on a router pattern implemented through the provided Classifier. The implementation is thread-safe if all delegates are thread-safe.

fotation machine, ball mill, rotary kiln-henan xingyang mining machinery factory

fotation machine, ball mill, rotary kiln-henan xingyang mining machinery factory

Xingyang Mining Machinery Factory is located at Xingyang, the west suburb of Zhengzhou, Henan Province, facing 310 National Highway, adjacent to Lianyungang-Lanzhou Railway and Kaifeng-Luoyang Expressway in the north, and 25km away from Zhengzhou.

The factory specializes in production of complete mineral processing machinery and equipment for cement, chemical industry and building materials, with a production history of over three decades. Main products >>more

spring @qualifier annotation | baeldung

spring @qualifier annotation | baeldung

The @Autowired annotation is a great way of making the need to inject a dependency in Spring explicit. Although it's useful, there are use cases for which this annotation alone isn't enough for Spring to understand which bean to inject.

If we try to load FooService into our context, the Spring framework will throw a NoUniqueBeanDefinitionException. This is because Spring doesn't know which bean to inject. To avoid this problem, there are several solutions; the @Qualifier annotation is one of them.

By including the @Qualifier annotation, together with the name of the specific implementation we want to use, in this example Foo, we can avoid ambiguity when Spring finds multiple beans of the same type.

In this example, both methods return the same Employee type. The bean that Spring will inject is the one returned by the method tonyEmployee.This is because it contains the @Primary annotation. This annotation is useful when we want to specify which bean of a certain type should be injected by default.

If we require the other bean at some injection point, we would need to specifically indicate it. We can do that via the @Qualifier annotation. For instance, we could specify that we want to use the bean returned by the johnEmployee method by using the @Qualifier annotation.

It's worth noting that if both the @Qualifier and @Primary annotations are present, then the @Qualifier annotation will have precedence. Basically, @Primary defines a default, while @Qualifier is very specific.

Another way to decide between multiple beans when autowiring, is by using the name of the field to inject. This is the default in case there are no other hints for Spring. Let's see some code based on our initial example:

In this article, we described the scenarios where we need to disambiguate which beans to inject. In particular, we examined the @Qualifier annotation, and compared it with other similar ways of determining which beans need to be used.

spring batch - writing to multiple destinations with classifier

spring batch - writing to multiple destinations with classifier

Learn to make use of Spring Batch decorators to classify the data to write to the multiple destinations. This is very much needed when you work in enterprise architecture to pass/share data to multiple systems.

In some cases, a user needs specialized behavior to be appended to a pre-existing ItemReader. Spring Batch offers some out of the box decorators that can add additional behavior to your ItemReader and ItemWriter implementations.

I did somthing similar using JPA instead of JDBC but I get a org.springframework.batch.item.WriterNotOpenException: Writer must be open before it can be written to when trying to go into one of the two streams (odd even)

spiral classifier | henan deya machinery co., ltd

spiral classifier | henan deya machinery co., ltd

Spiral Classifiers is art of separating the solid particles in a mixture of solids and liquid into fractions according to particle size or density by methods other than screening. In general, the products resulting, a partially drained fraction containing the coarse material, called the underflow; and a fine fraction along with the remaining portion of the liquid medium called the overflow.

The classifying operation is carried out in a pool of fluid pulp confined in a tank arranged to allow the coarse solids to settle out, whereupon they are removed by gravity, mechanical means, or induced pressure. Underflow materials will be sent back to the ball mill for re-grinding to make a close-circuit, overflow materials will come to next stage of beneficiation.

Normally, there are two types of spiral classifier, high weir type and submersion type. High weir type, the overflow spiral blade is higher than overflow level, but spiral central is lower than overflow surface. The high weir spiral classifier is applied in the classification of minerals with particle size 0.83-0.15mm. Submersion type, spirals are totally under overflow level, which is applied with particle size 0.15 to 0.07mm.

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