在JSON文件中,大约有100000条记录。我试图将它们全部写入mantle.product.product实体。
该过程开始,在大约 35000 条记录处,它开始恶化,并发出警告"缓慢命中AT_ENTITY:create:mantle.product.Product"。然后它肯定会停止,并显示">java.lang.OutOfMemoryError: GC 开销限制超出"错误。此行为在我的电脑上。
欢迎任何提示。
这是代码:
void processJson2(String filePath) {
//def json = new JsonSlurper().parseText(new BufferedReader(new InputStreamReader(this.getFileIO().openStream(), "UTF-8")))
//will initialize class manually
def docReadReference = this.executionContext.resource.getLocationReference(filePath)
if (docReadReference.isFile()) {
//inputstream
InputStream inputFile = docReadReference.openStream()
TransactionFacade trxFacade = this.executionContext.getTransaction()
this.executionContext.artifactExecution.disableTarpit()
this.executionContext.artifactExecution.disableEntityEca()
this.executionContext.artifactExecution.disableAuthz()
trxFacade.runRequireNew(50000, "Error loading entity JSON data", {
try {
logMachine.info("Opening file ${docReadReference.isFile()}")
JsonSlurper slurper = new JsonSlurper().setType(JsonParserType.CHARACTER_SOURCE)
def json = slurper.parse(new BufferedReader(new InputStreamReader(inputFile, "UTF-8")))
//writer
Long counter = 1
json.each {
this.executionContext.service.sync().name("create", "mantle.product.Product").parameters([productId: it.sourceFileReference]).call()
//display thousands
if (counter % 1000 == 0) {
logMachine.info("JSON rows processed ${counter} > ${it.sourceFileReference}")
}
//move counter
counter += 1
}
//log
logMachine.info("File processed.")
} catch (Throwable t) {
trxFacade.rollback("Error while processing JSON", t);
//log as warning
logMachine.warn("Incorrectly handled JSON parsing ${t.message}.")
} finally {
if (trxFacade.isTransactionInPlace()) trxFacade.commit();
inputFile.close()
this.executionContext.artifactExecution.enableTarpit()
this.executionContext.artifactExecution.enableEntityEca()
this.executionContext.artifactExecution.enableAuthz()
}
})
}
}
这似乎工作正常,所以如果有人有类似的麻烦,它可能会有所帮助。
- 因为我使用的是MoquiDevConf,解决慢速问题的第一件事是删除for类型AT_ENTITY,
- 接下来,BufferedReader 不是读取数据最有效的解决方案,我使用 InputStream 来初始化 json ArrayList。
结果如下:
InputStream inputFile = docReadReference.openStream()
TransactionFacade trxFacade = this.executionContext.getTransaction()
JsonSlurper slurper = new JsonSlurper().setType(JsonParserType.INDEX_OVERLAY)
//ArrayList<Object> json = slurper.parse(new BufferedReader(new InputStreamReader(inputFile, "UTF-8")))
ArrayList<Object> json = slurper.parse(inputFile)