spark.hadoop.fs.s3a.committer.magic.enabled false
spark.hadoop.fs.s3a.committer.name directory
spark.hadoop.fs.s3a.committer.staging.abort.pending.uploads true
spark.hadoop.fs.s3a.committer.staging.conflict-mode append
spark.hadoop.fs.s3a.committer.staging.tmp.path /tmp/staging
spark.hadoop.fs.s3a.committer.staging.unique-filenames true
spark.hadoop.fs.s3a.committer.threads 2048 # number of threads writing to MinIO

func (db *DB) Commit() *DB {
	if committer, ok := db.Statement.ConnPool.(TxCommitter); ok && committer != nil && !reflect.ValueOf(committer).IsNil() {
		db.AddError(committer.Commit())
	} else {
		db.AddError(ErrInvalidTransaction)
	}
	return db
}

// Rollback rollbacks the changes in a transaction
func (db *DB) Rollback() *DB {
	if committer, ok := db.Statement.ConnPool.(TxCommitter); ok && committer != nil {

      with:
        title: '${{ github.event.inputs.release_branch }} cherry-pick: ${{ steps.cherrypick.outputs.SHORTSHA }} "${{ steps.cherrypick.outputs.TITLE }}"'
        committer: TensorFlow Release Automation <******@****.***>
        token: ${{ secrets.JENKINS_TOKEN }}
        base: ${{ github.event.inputs.release_branch }}

}

// ConnPoolBeginner conn pool beginner
type ConnPoolBeginner interface {
	BeginTx(ctx context.Context, opts *sql.TxOptions) (ConnPool, error)
}

// TxCommitter tx committer
type TxCommitter interface {
	Commit() error
	Rollback() error
}

// Tx sql.Tx interface
type Tx interface {
	ConnPool
	TxCommitter
	StmtContext(ctx context.Context, stmt *sql.Stmt) *sql.Stmt
}

      uses: peter-evans/create-pull-request@5e914681df9dc83aa4e4905692ca88beb2f9e91f # v7.0.5
      with:
        title: Update the RBE images to the latest container versions
        committer: TensorFlow Release Automation <******@****.***>
        token: ${{ secrets.JENKINS_TOKEN }}
        reviewers: mihaimaruseac,learning-to-play,nitins17
        body: |

to optimize versioning behavior for some specific applications. MinIO experts will evaluate and guide on the benefits for your application, please reach out to us on <https://subnet.min.io>.**

Spark/Hadoop workloads which use Hadoop MR Committer v1/v2 algorithm upload objects to a temporary prefix in a bucket. These objects are 'renamed' to a different prefix on Job commit. Object storage admins are forced to configure separate ILM policies to expire these objects and their versions to reclaim...

After filing a report, a representative from the Square Code of Conduct committee will contact you
personally. The committee will then review the incident, follow up with any additional questions,
and make a decision as to how to respond.

Anyone asked to stop unacceptable behavior is expected to comply immediately. If an individual
engages in unacceptable behavior, the Square Code of Conduct committee may take any action they deem

    }

    public static class JvmMemoryHeapObj {
        public long used;
        public long committed;
        public long max;
        public short percent;
    }

    public static class JvmMemoryNonHeapObj {
        public long used;
        public long committed;
        public long max;
        public short percent;
    }

    public static class JvmPoolObj {

# ps output for cleaning up leaking Java processes
*.psoutput

# oh-my-zsh gradle plugin
.gradletasknamecache

# Added GE support maven support to the maven build in .teamcity, per the GE docs, this dir is NOT to be committed
.teamcity/.mvn/.develocity/
/discoclient.properties

# Ignore local configuration files for asdf, allowing the JDK to be configured for project (https://asdf-vm.com)

        final Mem mem = jvmStats.getMem();
        buf.append("\"memory\":{");
        buf.append("\"heap\":{");
        append(buf, "used", () -> mem.getHeapUsed().getBytes()).append(',');
        append(buf, "committed", () -> mem.getHeapCommitted().getBytes()).append(',');
        append(buf, "max", () -> mem.getHeapMax().getBytes()).append(',');
        append(buf, "percent", () -> mem.getHeapUsedPercent());
        buf.append("},");