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Meta-Data Schema
Overview
The Spring Batch Metadata tables closely match the domain objects that represent them in
Java. For example, JobInstance
, JobExecution
, JobParameters
, and StepExecution
map to BATCH_JOB_INSTANCE
, BATCH_JOB_EXECUTION
, BATCH_JOB_EXECUTION_PARAMS
, and
BATCH_STEP_EXECUTION
, respectively. ExecutionContext
maps to both
BATCH_JOB_EXECUTION_CONTEXT
and BATCH_STEP_EXECUTION_CONTEXT
. The JobRepository
is
responsible for saving and storing each Java object into its correct table. This appendix
describes the metadata tables in detail, along with many of the design decisions that
were made when creating them. When viewing the various table creation statements described
later in this appendix, note that the data types used are as generic as possible. Spring
Batch provides many schemas as examples. All of them have varying data types, due to
variations in how individual database vendors handle data types. The following image
shows an ERD model of all six tables and their relationships to one another:
Example DDL Scripts
The Spring Batch Core JAR file contains example scripts to create the relational tables
for a number of database platforms (which are, in turn, auto-detected by the job
repository factory bean or namespace equivalent). These scripts can be used as is or
modified with additional indexes and constraints, as desired. The file names are in the
form schema-*.sql
, where *
is the short name of the target database platform.
The scripts are in the package org.springframework.batch.core
.
Migration DDL Scripts
Spring Batch provides migration DDL scripts that you need to execute when you upgrade versions.
These scripts can be found in the Core Jar file under org/springframework/batch/core/migration
.
Migration scripts are organized into folders corresponding to version numbers in which they were introduced:
-
2.2
: Contains scripts you need to migrate from a version before2.2
to version2.2
-
4.1
: Contains scripts you need to migrate from a version before4.1
to version4.1
Version
Many of the database tables discussed in this appendix contain a version column. This
column is important, because Spring Batch employs an optimistic locking strategy when
dealing with updates to the database. This means that each time a record is “touched”
(updated), the value in the version column is incremented by one. When the repository goes
back to save the value, if the version number has changed, it throws an
OptimisticLockingFailureException
, indicating that there has been an error with concurrent
access. This check is necessary, since, even though different batch jobs may be running
in different machines, they all use the same database tables.
Identity
BATCH_JOB_INSTANCE
, BATCH_JOB_EXECUTION
, and BATCH_STEP_EXECUTION
each contain
columns ending in _ID
. These fields act as primary keys for their respective tables.
However, they are not database generated keys. Rather, they are generated by separate
sequences. This is necessary because, after inserting one of the domain objects into the
database, the key it is given needs to be set on the actual object so that they can be
uniquely identified in Java. Newer database drivers (JDBC 3.0 and up) support this
feature with database-generated keys. However, rather than require that feature,
sequences are used. Each variation of the schema contains some form of the following
statements:
CREATE SEQUENCE BATCH_STEP_EXECUTION_SEQ;
CREATE SEQUENCE BATCH_JOB_EXECUTION_SEQ;
CREATE SEQUENCE BATCH_JOB_SEQ;
Many database vendors do not support sequences. In these cases, work-arounds are used, such as the following statements for MySQL:
CREATE TABLE BATCH_STEP_EXECUTION_SEQ (ID BIGINT NOT NULL) type=InnoDB;
INSERT INTO BATCH_STEP_EXECUTION_SEQ values(0);
CREATE TABLE BATCH_JOB_EXECUTION_SEQ (ID BIGINT NOT NULL) type=InnoDB;
INSERT INTO BATCH_JOB_EXECUTION_SEQ values(0);
CREATE TABLE BATCH_JOB_SEQ (ID BIGINT NOT NULL) type=InnoDB;
INSERT INTO BATCH_JOB_SEQ values(0);
In the preceding case, a table is used in place of each sequence. The Spring core class,
MySQLMaxValueIncrementer
, then increments the one column in this sequence to
give similar functionality.
The BATCH_JOB_INSTANCE
Table
The BATCH_JOB_INSTANCE
table holds all information relevant to a JobInstance
and
serves as the top of the overall hierarchy. The following generic DDL statement is used
to create it:
CREATE TABLE BATCH_JOB_INSTANCE (
JOB_INSTANCE_ID BIGINT PRIMARY KEY ,
VERSION BIGINT,
JOB_NAME VARCHAR(100) NOT NULL ,
JOB_KEY VARCHAR(32) NOT NULL
);
The following list describes each column in the table:
-
JOB_INSTANCE_ID
: The unique ID that identifies the instance. It is also the primary key. The value of this column should be obtainable by calling thegetId
method onJobInstance
. -
VERSION
: See Version. -
JOB_NAME
: Name of the job obtained from theJob
object. Because it is required to identify the instance, it must not be null. -
JOB_KEY
: A serialization of theJobParameters
that uniquely identifies separate instances of the same job from one another. (JobInstances
with the same job name must have differentJobParameters
and, thus, differentJOB_KEY
values).
The BATCH_JOB_EXECUTION_PARAMS
Table
The BATCH_JOB_EXECUTION_PARAMS
table holds all information relevant to the
JobParameters
object. It contains 0 or more key/value pairs passed to a Job
and
serves as a record of the parameters with which a job was run. For each parameter that
contributes to the generation of a job’s identity, the IDENTIFYING
flag is set to true.
Note that the table has been denormalized. Rather than creating a separate table for each
type, there is one table with a column indicating the type, as the following
listing shows:
CREATE TABLE BATCH_JOB_EXECUTION_PARAMS (
JOB_EXECUTION_ID BIGINT NOT NULL ,
PARAMETER_NAME VARCHAR(100) NOT NULL ,
PARAMETER_TYPE VARCHAR(100) NOT NULL ,
PARAMETER_VALUE VARCHAR(2500) ,
IDENTIFYING CHAR(1) NOT NULL ,
constraint JOB_EXEC_PARAMS_FK foreign key (JOB_EXECUTION_ID)
references BATCH_JOB_EXECUTION(JOB_EXECUTION_ID)
);
The following list describes each column:
-
JOB_EXECUTION_ID
: Foreign key from theBATCH_JOB_EXECUTION
table that indicates the job execution to which the parameter entry belongs. Note that multiple rows (that is, key/value pairs) may exist for each execution. -
PARAMETER_NAME: The parameter name.
-
PARAMETER_TYPE: The fully qualified name of the type of the parameter.
-
PARAMETER_VALUE: Parameter value
-
IDENTIFYING: Flag indicating whether the parameter contributed to the identity of the related
JobInstance
.
Note that there is no primary key for this table. This is because the framework has no use for one and, thus, does not require it. If need be, you can add a primary key with a database generated key without causing any issues to the framework itself.
The BATCH_JOB_EXECUTION
Table
The BATCH_JOB_EXECUTION
table holds all information relevant to the JobExecution
object. Every time a Job
is run, there is always a new called JobExecution
and a new row in
this table. The following listing shows the definition of the BATCH_JOB_EXECUTION
table:
CREATE TABLE BATCH_JOB_EXECUTION (
JOB_EXECUTION_ID BIGINT PRIMARY KEY ,
VERSION BIGINT,
JOB_INSTANCE_ID BIGINT NOT NULL,
CREATE_TIME TIMESTAMP NOT NULL,
START_TIME TIMESTAMP DEFAULT NULL,
END_TIME TIMESTAMP DEFAULT NULL,
STATUS VARCHAR(10),
EXIT_CODE VARCHAR(20),
EXIT_MESSAGE VARCHAR(2500),
LAST_UPDATED TIMESTAMP,
constraint JOB_INSTANCE_EXECUTION_FK foreign key (JOB_INSTANCE_ID)
references BATCH_JOB_INSTANCE(JOB_INSTANCE_ID)
) ;
The following list describes each column:
-
JOB_EXECUTION_ID
: Primary key that uniquely identifies this execution. The value of this column is obtainable by calling thegetId
method of theJobExecution
object. -
VERSION
: See Version. -
JOB_INSTANCE_ID
: Foreign key from theBATCH_JOB_INSTANCE
table. It indicates the instance to which this execution belongs. There may be more than one execution per instance. -
CREATE_TIME
: Timestamp representing the time when the execution was created. -
START_TIME
: Timestamp representing the time when the execution was started. -
END_TIME
: Timestamp representing the time when the execution finished, regardless of success or failure. An empty value in this column when the job is not currently running indicates that there has been some type of error and the framework was unable to perform a last save before failing. -
STATUS
: Character string representing the status of the execution. This may beCOMPLETED
,STARTED
, and others. The object representation of this column is theBatchStatus
enumeration. -
EXIT_CODE
: Character string representing the exit code of the execution. In the case of a command-line job, this may be converted into a number. -
EXIT_MESSAGE
: Character string representing a more detailed description of how the job exited. In the case of failure, this might include as much of the stack trace as is possible. -
LAST_UPDATED
: Timestamp representing the last time this execution was persisted.
The BATCH_STEP_EXECUTION
Table
The BATCH_STEP_EXECUTION
table holds all information relevant to the StepExecution
object. This table is similar in many ways to the BATCH_JOB_EXECUTION
table, and there
is always at least one entry per Step
for each JobExecution
created. The following
listing shows the definition of the BATCH_STEP_EXECUTION
table:
CREATE TABLE BATCH_STEP_EXECUTION (
STEP_EXECUTION_ID BIGINT NOT NULL PRIMARY KEY ,
VERSION BIGINT NOT NULL,
STEP_NAME VARCHAR(100) NOT NULL,
JOB_EXECUTION_ID BIGINT NOT NULL,
CREATE_TIME TIMESTAMP NOT NULL,
START_TIME TIMESTAMP DEFAULT NULL ,
END_TIME TIMESTAMP DEFAULT NULL,
STATUS VARCHAR(10),
COMMIT_COUNT BIGINT ,
READ_COUNT BIGINT ,
FILTER_COUNT BIGINT ,
WRITE_COUNT BIGINT ,
READ_SKIP_COUNT BIGINT ,
WRITE_SKIP_COUNT BIGINT ,
PROCESS_SKIP_COUNT BIGINT ,
ROLLBACK_COUNT BIGINT ,
EXIT_CODE VARCHAR(20) ,
EXIT_MESSAGE VARCHAR(2500) ,
LAST_UPDATED TIMESTAMP,
constraint JOB_EXECUTION_STEP_FK foreign key (JOB_EXECUTION_ID)
references BATCH_JOB_EXECUTION(JOB_EXECUTION_ID)
) ;
The following list describes each column:
-
STEP_EXECUTION_ID
: Primary key that uniquely identifies this execution. The value of this column should be obtainable by calling thegetId
method of theStepExecution
object. -
VERSION
: See Version. -
STEP_NAME
: The name of the step to which this execution belongs. -
JOB_EXECUTION_ID
: Foreign key from theBATCH_JOB_EXECUTION
table. It indicates theJobExecution
to which thisStepExecution
belongs. There may be only oneStepExecution
for a givenJobExecution
for a givenStep
name. -
START_TIME
: Timestamp representing the time when the execution was started. -
END_TIME
: Timestamp representing the time the when execution was finished, regardless of success or failure. An empty value in this column, even though the job is not currently running, indicates that there has been some type of error and the framework was unable to perform a last save before failing. -
STATUS
: Character string representing the status of the execution. This may beCOMPLETED
,STARTED
, and others. The object representation of this column is theBatchStatus
enumeration. -
COMMIT_COUNT
: The number of times in which the step has committed a transaction during this execution. -
READ_COUNT
: The number of items read during this execution. -
FILTER_COUNT
: The number of items filtered out of this execution. -
WRITE_COUNT
: The number of items written and committed during this execution. -
READ_SKIP_COUNT
: The number of items skipped on read during this execution. -
WRITE_SKIP_COUNT
: The number of items skipped on write during this execution. -
PROCESS_SKIP_COUNT
: The number of items skipped during processing during this execution. -
ROLLBACK_COUNT
: The number of rollbacks during this execution. Note that this count includes each time rollback occurs, including rollbacks for retry and those in the skip recovery procedure. -
EXIT_CODE
: Character string representing the exit code of the execution. In the case of a command-line job, this may be converted into a number. -
EXIT_MESSAGE
: Character string representing a more detailed description of how the job exited. In the case of failure, this might include as much of the stack trace as is possible. -
LAST_UPDATED
: Timestamp representing the last time this execution was persisted.
The BATCH_JOB_EXECUTION_CONTEXT
Table
The BATCH_JOB_EXECUTION_CONTEXT
table holds all information relevant to the
ExecutionContext
of a Job
. There is exactly one Job
ExecutionContext
for each
JobExecution
, and it contains all of the job-level data that is needed for a particular
job execution. This data typically represents the state that must be retrieved after a
failure, so that a JobInstance
can “start where it left off”. The following
listing shows the definition of the BATCH_JOB_EXECUTION_CONTEXT
table:
CREATE TABLE BATCH_JOB_EXECUTION_CONTEXT (
JOB_EXECUTION_ID BIGINT PRIMARY KEY,
SHORT_CONTEXT VARCHAR(2500) NOT NULL,
SERIALIZED_CONTEXT CLOB,
constraint JOB_EXEC_CTX_FK foreign key (JOB_EXECUTION_ID)
references BATCH_JOB_EXECUTION(JOB_EXECUTION_ID)
) ;
The following list describes each column:
-
JOB_EXECUTION_ID
: Foreign key representing theJobExecution
to which the context belongs. There may be more than one row associated with a given execution. -
SHORT_CONTEXT
: A string version of theSERIALIZED_CONTEXT
. -
SERIALIZED_CONTEXT
: The entire context, serialized.
The BATCH_STEP_EXECUTION_CONTEXT
Table
The BATCH_STEP_EXECUTION_CONTEXT
table holds all information relevant to the
ExecutionContext
of a Step
. There is exactly one ExecutionContext
per
StepExecution
, and it contains all of the data that
needs to be persisted for a particular step execution. This data typically represents the
state that must be retrieved after a failure so that a JobInstance
can “start
where it left off”. The following listing shows the definition of the
BATCH_STEP_EXECUTION_CONTEXT
table:
CREATE TABLE BATCH_STEP_EXECUTION_CONTEXT (
STEP_EXECUTION_ID BIGINT PRIMARY KEY,
SHORT_CONTEXT VARCHAR(2500) NOT NULL,
SERIALIZED_CONTEXT CLOB,
constraint STEP_EXEC_CTX_FK foreign key (STEP_EXECUTION_ID)
references BATCH_STEP_EXECUTION(STEP_EXECUTION_ID)
) ;
The following list describes each column:
-
STEP_EXECUTION_ID
: Foreign key representing theStepExecution
to which the context belongs. There may be more than one row associated with a given execution. -
SHORT_CONTEXT
: A string version of theSERIALIZED_CONTEXT
. -
SERIALIZED_CONTEXT
: The entire context, serialized.
Archiving
Because there are entries in multiple tables every time a batch job is run, it is common to create an archive strategy for the metadata tables. The tables themselves are designed to show a record of what happened in the past and generally do not affect the run of any job, with a few notable exceptions pertaining to restart:
-
The framework uses the metadata tables to determine whether a particular
JobInstance
has been run before. If it has been run and if the job is not restartable, an exception is thrown. -
If an entry for a
JobInstance
is removed without having completed successfully, the framework thinks that the job is new rather than a restart. -
If a job is restarted, the framework uses any data that has been persisted to the
ExecutionContext
to restore theJob’s
state. Therefore, removing any entries from this table for jobs that have not completed successfully prevents them from starting at the correct point if they are run again.
International and Multi-byte Characters
If you use multi-byte character sets (such as Chinese or Cyrillic) in your business
processing, those characters might need to be persisted in the Spring Batch schema.
Many users find that simply changing the schema to double the length of the VARCHAR
columns is enough. Others prefer to configure the
JobRepository with max-varchar-length
half the
value of the VARCHAR
column length. Some users have also reported that they use
NVARCHAR
in place of VARCHAR
in their schema definitions. The best result depends on
the database platform and the way the database server has been configured locally.
Recommendations for Indexing Metadata Tables
Spring Batch provides DDL samples for the metadata tables in the core jar file for
several common database platforms. Index declarations are not included in that DDL,
because there are too many variations in how users may want to index, depending on their
precise platform, local conventions, and the business requirements of how the jobs are
operated. The following table provides some indication as to which columns are going to
be used in a WHERE
clause by the DAO implementations provided by Spring Batch and how
frequently they might be used so that individual projects can make up their own minds
about indexing:
Default Table Name |
Where Clause |
Frequency |
|
|
Every time a job is launched |
|
|
Every time a job is restarted |
|
|
On commit interval, a.k.a. chunk (and at start and end of step) |
|
|
Before each step execution |