saving large object takes too long on hibernate - mysql

Question

I have an object with a Blob column requestData and a Text Column "requestDataText" .
These two fields may hold large Data. In my example , the blob data is around 1.2 MBs and the Text column holds the text equivalent of that Data.
When i try to commit this single entity , it takes around 20 seconds .
DBUtil.beginTransaction();
session.saveOrUpdate(entity);
DBUtil.commitTransaction();
Is there something wrong or is there a way to shorten this period ?
package a.db.entity;
// Generated Feb 22, 2016 11:57:10 AM by Hibernate Tools 3.2.1.GA
/**
* Foo generated by hbm2java
*/
#Entity
#Table(name="foo"
,catalog="bar"
)
public class Foo implements java.io.Serializable {
private Long id;
private Date reqDate;
private byte[] requestData;
private String requestDataText;
private String functionName;
private boolean confirmed;
private boolean processed;
private boolean errorOnProcess;
private Date processStartedAt;
private Date processFinishedAt;
private String responseText;
private String processResult;
private String miscData;
public AsyncRequestLog() {
}
#Id #GeneratedValue(strategy=IDENTITY)
#Column(name="Id", unique=true, nullable=false)
public Long getId() {
return this.id;
}
public void setId(Long id) {
this.id = id;
}
...
}

Answer 1

I just noticed you're starting a transaction and then doing a saveOrUpdate() which might explain the slow down, as hibernate will try to retrieve the row from the DB first (as explained on this other SO answer).
If you know if the entity is new call save() and if you the entity has to be updated call update().
Another suggestion, but I'm not sure if this applies any more to MySQL, try to store the blobs/clobs in a different table from where you store the data, if you are intending to update the blob/clobs. In the past this mix made MySQL run slow as it had to resize the 'block' allocated to a row. So have one table with all the attributes and a different table just for the blob/clob. This is not the case if the table is read-only.