#!/usr/bin/env bash

# shellcheck disable=SC2120
exit_1() {
	cleanup

	echo "minio1 ============"
	cat /tmp/minio1_1.log
	echo "minio2 ============"
	cat /tmp/minio2_1.log

	exit 1
}

cleanup() {
	echo -n "Cleaning up instances of MinIO ..."
	pkill minio || sudo pkill minio
	pkill -9 minio || sudo pkill -9 minio
	rm -rf /tmp/minio{1,2}
	echo "done"
}

cleanup

export MINIO_CI_CD=1

	BytesFailed         int64 `json:"bytesFailed" msg:"bf"`
}

const (
	batchReplName         = "batch-replicate.bin"
	batchReplFormat       = 1
	batchReplVersionV1    = 1
	batchReplVersion      = batchReplVersionV1
	batchJobName          = "job.bin"
	batchJobPrefix        = "batch-jobs"
	batchJobReportsPrefix = batchJobPrefix + "/reports"

	batchReplJobAPIVersion        = "v1"

				storageLogIf(ctx, fmt.Errorf("saving pool.bin for pool index %d failed with: %v", i, err))
			}
			return err
		}
	}
	return nil
}

const (
	poolMetaName      = "pool.bin"
	poolMetaFormat    = 1
	poolMetaVersionV1 = 1
	poolMetaVersion   = poolMetaVersionV1
)

// Init() initializes pools and saves additional information about them
// in 'pool.bin', this is eventually used for decommissioning the pool.

Please replace ``endpoint_url``,``aws_access_key_id``, ``aws_secret_access_key``, ``Bucket`` and ``Key`` with your local setup in this ``select.py`` file.

```py
#!/usr/bin/env/env python3
import boto3

s3 = boto3.client('s3',
                  endpoint_url='http://localhost:9000',
                  aws_access_key_id='minio',
                  aws_secret_access_key='minio123',

	"github.com/minio/minio-go/v7/pkg/set"
	"github.com/minio/minio/internal/config"
	"github.com/minio/pkg/v3/env"
)

const (
	defaultMonitorNewDiskInterval = time.Second * 10
	healingTrackerFilename        = ".healing.bin"
)

//go:generate msgp -file $GOFILE -unexported

// healingTracker is used to persist healing information during a heal.
type healingTracker struct {
	disk StorageAPI    `msg:"-"`
	mu   *sync.RWMutex `msg:"-"`

```
cd /usr/hdp/current/spark2-client
su spark
```

- Run the Apache Spark Pi job in yarn-client mode, using code from **org.apache.spark**:

```
./bin/spark-submit --class org.apache.spark.examples.SparkPi \
    --master yarn-client \
    --num-executors 1 \
    --driver-memory 512m \
    --executor-memory 512m \
    --executor-cores 1 \

 * Expert Group and released to the public domain, as explained at
 * http://creativecommons.org/publicdomain/zero/1.0/
 */

/*
 * Source:
 * http://gee.cs.oswego.edu/cgi-bin/viewcvs.cgi/jsr166/src/jsr166e/Striped64.java?revision=1.9
 */

package com.google.common.cache;

import com.google.common.annotations.GwtIncompatible;
import java.lang.reflect.Field;

        env:
          TZ: Asia/Shanghai
          ACCEPT_EULA: Y
          MSSQL_SA_PASSWORD: LoremIpsum86
        ports:
          - 9930:1433
        options: >-
          --health-cmd="/opt/mssql-tools18/bin/sqlcmd -S localhost -U sa -P ${MSSQL_SA_PASSWORD} -N -C -l 30 -Q \"SELECT 1\" || exit 1"
          --health-start-period 10s
          --health-interval 10s
          --health-timeout 5s
          --health-retries 10

Die folgenden Befehle zeigen, wie der Zip-Download verwendet wird:

    $ unzip fess-14.17.x.zip
    $ cd fess-14.17.x
    $ ./bin/fess

Weitere Informationen finden Sie im [Installationshandbuch](https://fess.codelibs.org/14.17/install/index.html).

### Docker

#!/bin/bash -eu
# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,