Catholic Bible Word Search

 Available now on Amazon is my Catholic Bible Large Print Word Search which features:

• 84 Word Searches
  
• Many Puzzle Shapes
• Answers
• 18pt font size
• Large Print

Read Catholic Bible in a Year

Now available on Amazon is the "Read the Catholic Bible in a Year" journal/planner paperback.   

Each day’s reading consists of three parts:

1. Reading from the Old Testament
2. Reading from one of these: Psalms, Job, Proverbs, Ecclesiastes, Song, Wisdom, Sirach
3. Reading from the New Testament

Instead of reading the Bible from front to back this planner makes it easier by reading from the Old and New Testament each day. 

You don’t have to start on January 1st , you can begin on any day as the days are numbered 1 thru 365. The day number is located in the outer margin on each page.

Please note you will need a copy of the Catholic Bible as the text is not included with this journal.  Here are some options for the Bible text:

• My iOS app “Catholic New American Bible RE” offers the text along with the same read bible in a year plan.
• My New American Bible Revised Edition eBook is available on:
• Kindle
• Apple Books
• Nook
• My "Bible for Catholics" iOS app -- This is the Catholic Public Domain Version (CPDV) of the Holy Bible. It is not the New American Bible(NAB) and thus some parts will be slightly different than the NAB.

Below are some snapshots from inside the journal paperback:

  

Left side 

Right side

Bible Books

My Catholic Bible Apps

These are my Bible apps and ebooks:

1. New American Bible Revised Edition (NABRE) Bible -- These have been approved by the United States Conference of Catholic Bishops (USCCB) and is the current version of the Catholic Bible.  It is available for these devices:
• iPhone/iPad
• Apple Books
• Kindle
• Nook 
2. Bible for Catholics -- This is the Catholic Public Domain Version (CPDV) of the Holy Bible. It is not the New American Bible(NAB) and thus some parts will be slightly different than the NAB.
3. All-In-1 -- This iPhone includes:  NABRE Bible, Catholic Prayers, Liturgical Calendar, Local Catholic Places, Order of the Mass, ...

Database Links using Autonomous Database with private endpoints across regions

I am using Autonomous Databases 19c shared infrastructure(ADB-S) with the source in Phoenix and the target in London.

Prereqs include:

• Two ADB-S with private endpoints , one in each region
• Region peering configured
• DNS configured -- I like to create a compute VM in each region and verify region peering and DNS is working

Once the above is completed follow the next steps to create the db links.

• Upload the target database wallet to object storage
• Create the directory in the database to hold the wallet in the source database
• Create the credential to access object storage in the source database
• Copy the wallet from object storage to the source database
• Create another credential to access target database in the source database
• Create the database link

References:

• Creating Database Links from Autonomous Database to Databases with Private Endpoints
• VCN Peering for ADBs with Private Endpoints and Cross-Region Autonomous Data Guard
• Private DNS Implementation

Example:

Run the following commands  on the source database:

create directory wallet_dir_london as 'WALLETDIR_LONDON';

begin

    DBMS_CLOUD.create_credential (

    credential_name => 'OBJ_STORE_CREDA',

    username => 'YOUROCIUSERNAME',

    password => 'YOURTOKEN

  ) ;

end;

/

begin DBMS_CLOUD.GET_OBJECT(

      credential_name => 'OBJ_STORE_CREDA',

      object_uri => 'https://objectstorage.us-phoenix-1.oraclecloud.com/n/YOURTENANCY/b/gfswinglondon/o/cwallet.sso',

      directory_name => 'WALLET_DIR_LONDON'); 

      END;

 /  

SELECT * FROM DBMS_CLOUD.LIST_FILES('WALLET_DIR_LONDON');

BEGIN

   DBMS_CLOUD.CREATE_CREDENTIAL(

   credential_name => 'DB_LINK_CRED',

   username => 'ADMIN',

   password => 'YOURADBPASSWORD');

END;

/

SELECT owner, credential_name FROM dba_credentials

BEGIN

DBMS_CLOUD_ADMIN.CREATE_DATABASE_LINK(

    db_link_name => 'LONDONDBLINK', 

    hostname => '*********.adb.uk-london-1.oraclecloud.com',    (your hostname here)

    port => '1522',

   service_name => '**************_gfswinglon_high.adb.oraclecloud.com',   (your service name here)

   ssl_server_cert_dn => 'CN=adwc.eucom-central-1.oraclecloud.com, OU=Oracle BMCS FRANKFURT, O=Oracle Corporation, L=Redwood City, ST=California, C=US',

   credential_name => 'DB_LINK_CRED',

   directory_name => 'WALLET_DIR_LONDON',

   private_target => TRUE);

END;

/

select ora_database_name@londondblink from dual;

Using ADB wallet to hide your sqlplus and sqlldr password

 Using the following:

• Autonomous Database (ADB) 19c
• Oracle database client 21c on an OCI VM running OL 8

Here are the steps:

• Download the ADB wallet from the OCI console and unzip to a empty directory
• Modify the sqlnet.ora file
• Add the following line “SQLNET.WALLET_OVERRIDE=TRUE”
• Modify the WALLET_LOCATION line, change DIRECTORY="?/network/admin” to point to your new unzip directory. ,  i.e.   DIRECTORY="/home/oracle/Wallet_gfships”
• create a credential to the Wallet for your db user.    
• mkstore -wrl /home/oracle/Wallet_gfships -createCredential gfships_high admin  youradminpassword          (Or use your db user account)    this command will ask for the wallet password which is the same password you used to download the wallet from the OCI console.
• set TNS_ADMIN to this wallet directory
• verify connectivity with tnsping

Below are examples using SQLPLUS and SQLLDR with and without the password

SQLPLUS Example:

[oracle@linux-jump-server ~]$ sqlplus admin/yourpassword@gfships_high

SQL*Plus: Release 21.0.0.0.0 - Production on Mon Aug 1 02:23:36 2022

Version 21.3.0.0.0

Copyright (c) 1982, 2021, Oracle.  All rights reserved.

Last Successful login time: Mon Aug 01 2022 02:21:59 +00:00

Connected to:

Oracle Database 19c Enterprise Edition Release 19.0.0.0.0 - Production

Version 19.16.0.1.0

SQL> exit

Disconnected from Oracle Database 19c Enterprise Edition Release 19.0.0.0.0 - Production

Version 19.16.0.1.0

[oracle@linux-jump-server ~]$ sqlplus /@gfships_high

SQL*Plus: Release 21.0.0.0.0 - Production on Mon Aug 1 02:23:51 2022

Version 21.3.0.0.0

Copyright (c) 1982, 2021, Oracle.  All rights reserved.

Last Successful login time: Mon Aug 01 2022 02:23:37 +00:00

Connected to:

Oracle Database 19c Enterprise Edition Release 19.0.0.0.0 - Production

Version 19.16.0.1.0

SQL> show user

USER is "ADMIN"

SQL> exit

Disconnected from Oracle Database 19c Enterprise Edition Release 19.0.0.0.0 - Production

Version 19.16.0.1.0

[oracle@linux-jump-server ~]$

SQLLDR Example:

[oracle@linux-jump-server ~]$ sqlldr admin/yourpassword@gfships_high control=emp.ctl

SQL*Loader: Release 21.0.0.0.0 - Production on Mon Aug 1 02:29:02 2022

Version 21.3.0.0.0

Copyright (c) 1982, 2021, Oracle and/or its affiliates.  All rights reserved.

Path used:      Conventional

Commit point reached - logical record count 6

Table EMPLOYEE:

  6 Rows successfully loaded.

Check the log file:

  emp.log

for more information about the load.

[oracle@linux-jump-server ~]$ sqlldr /@gfships_high control=emp.ctl

SQL*Loader: Release 21.0.0.0.0 - Production on Mon Aug 1 02:29:24 2022

Version 21.3.0.0.0

Copyright (c) 1982, 2021, Oracle and/or its affiliates.  All rights reserved.

Path used:      Conventional

Commit point reached - logical record count 6

Table EMPLOYEE:

  6 Rows successfully loaded.

Check the log file:

  emp.log

for more information about the load.

[oracle@linux-jump-server ~]$ cat emp.ctl

load data

 infile '/home/oracle/emp.txt'

 append into table employee

 fields terminated by ","

 ( id, name, dept, salary )

[oracle@linux-jump-server ~]$

Scaling OCPUs in Exadata Cloud

Three main ways you can scale the number of OCPUs in Exadata Cloud Service or Cloud at Customer:

1. OCI Console
2. REST api
3. OCI Command Line Interface.  

Here are four examples on how to script this scaling using either the REST api via Curl or the OCI CLI.

1. "Auto Scaling" Script
2. Curl 
3. OCI CLI
4. dbaascli

Below you find details on each of the examples.

1.  "Auto Scaling" Script

This script can be download from Oracle Support via Scale-up and Scale-down automation utility for OCI DB System (ExaCS/ExaCC) (Doc ID 2719916.1)

Oracle DynamicScaling utility can be executed as standalone executable or as daemon on one or more ExaCS compute nodes or ExaC@C vmcluster nodes. By default DynamicScaling is monitoring the CPUs with very limited host impact and if the load goes over the Maximum CPU threshold ("--maxthreshold") for an interval of time ("--interval"), it will automatically will scale-up the OCPU by a factor ("--ocpu") till a maximum limit ("--maxocpu"). If the load goes under the Minimum CPU threshold ("--minthreshold") for an interval of time ("--interval") scale down will be executed util the minimum limit ("--minocpu") of ocpu. If a valid cluster filesystem (ACFS) is provided, DynamicScaling will consider the load of all nodes (where DynamicScaling is running) and it will perform a scale-UP/DOWN based on the cluster node load (average/max).   There are several examples in this doc.  

2.  Curl bash script

With using curl I find it easier to start with a "http get" method and make sure this works before moving on to using a "http put".    This is a nice blog article on describing where to find each of these values.    This is the api documentation for cloudVmClusters and UpdateCloudVmCluster.

Below is example "http get" script where you will need to change the tenancy_ocid, user_ocid, privateKeyPath, fingerprint, rest_api and host. 

#!/bin/bash

########################## Fill these in with your values ##########################

#OCID of the tenancy calls are being made in to

tenancy_ocid="ocid1.tenancy.oc1..aaaaaaaactsgmdorji3bujtx6gbchuvbblbr3ddpqxxp5o3f2dxxxxxxxxxx"

# OCID of the user making the rest call

user_ocid="ocid1.user.oc1..aaaaaaaagt7makfurd57pdcwdtqh3l3yxbvymvwiei63ut3sqpxxxxxxxxxx"

# path to the private PEM format key for this user

privateKeyPath="/home/opc/greg.pem"

# fingerprint of the private key for this user

fingerprint="d2:7d:2e:22:3e:a8:8a:df:b7:d4:12:xx:xx:xx:xx:xx"

# The REST api you want to call, with any required paramters.

rest_api="/20160918/cloudVmClusters/ocid1.cloudvmcluster.oc1.phx.abyhqljrchvzy3scg4i5c4vykzrjszncnramcftjwymxkiaznixxxxxxxxxx"

# The host you want to make the call against

host="database.us-phoenix-1.oraclecloud.com"

####################################################################################

date=`date -u "+%a, %d %h %Y %H:%M:%S GMT"`

date_header="date: $date"

host_header="host: $host"

request_target="(request-target): get $rest_api"

# note the order of items. The order in the signing_string matches the order in the headers

signing_string="$request_target\n$date_header\n$host_header"

headers="(request-target) date host"

#echo "====================================================================================================="

printf '%b' "signing string is $signing_string \n"

signature=`printf '%b' "$signing_string" | openssl dgst -sha256 -sign $privateKeyPath | openssl enc -e -base64 | tr -d '\n'`

printf '%b' "Signed Request is  \n$signature\n"

echo "====================================================================================================="

set -x

curl -v -X GET -sS https://$host$rest_api -H "date: $date" -H "Authorization: Signature version=\"1\",keyId=\"$tenancy_ocid/$user_ocid/$fingerprint\",algorithm=\"rsa-sha256\",headers=\"$headers\",signature=\"$signature\""

Here is a curl script example for a "HTTP PUT".   This script changes the number of OCPUs (cores) at the VM cluster level.  

#!/bin/bash

########################## Fill these in with your values ##########################

#OCID of the tenancy calls are being made in to

tenancy_ocid="ocid1.tenancy.oc1..aaaaaaaactsgmdorji3bujtx6gbchuvbblbr3ddpqxxp5o3f2dxxxxxxxxxx"

# OCID of the user making the rest call

user_ocid="ocid1.user.oc1..aaaaaaaagt7makfurd57pdcwdtqh3l3yxbvymvwiei63ut3sqpxxxxxxxxxx"

# path to the private PEM format key for this user

privateKeyPath="/home/opc/greg.pem"

# fingerprint of the private key for this user

fingerprint="d2:7d:2e:22:3e:a8:8a:df:b7:d4:12:xx:xx:xx:xx:xx"

# The REST api you want to call, with any required paramters.

rest_api="/20160918/cloudVmClusters/ocid1.cloudvmcluster.oc1.phx.abyhqljrchvzy3scg4i5c4vykzrjszncnramcftjwymxkiaznixxxxxxxxxx"

# The host you want to make the call against

host="database.us-phoenix-1.oraclecloud.com"

# the json file containing the data you want to POST to the rest endpoint

body="./request.json"

####################################################################################

# extra headers required for a POST/PUT request

body_arg=(--data-binary @${body})

content_sha256="$(openssl dgst -binary -sha256 < $body | openssl enc -e -base64)";

content_sha256_header="x-content-sha256: $content_sha256"

content_length="$(wc -c < $body | xargs)";

content_length_header="content-length: $content_length"

headers="(request-target) date host"

# add on the extra fields required for a POST/PUT

headers=$headers" x-content-sha256 content-type content-length"

content_type_header="content-type: application/json";

date=`date -u "+%a, %d %h %Y %H:%M:%S GMT"`

date_header="date: $date"

host_header="host: $host"

request_target="(request-target): put $rest_api"

# note the order of items. The order in the signing_string matches the order in the headers, including the extra POST fields

signing_string="$request_target\n$date_header\n$host_header"

# add on the extra fields required for a POST/PUT

signing_string="$signing_string\n$content_sha256_header\n$content_type_header\n$content_length_header"

echo "====================================================================================================="

printf '%b' "signing string is $signing_string \n"

signature=`printf '%b' "$signing_string" | openssl dgst -sha256 -sign $privateKeyPath | openssl enc -e -base64 | tr -d '\n'`

printf '%b' "Signed Request is  \n$signature\n"

echo "====================================================================================================="

set -x

curl -v --data-binary "@./request.json" -X PUT -sS https://$host$rest_api -H "date: $date" -H "x-content-sha256: $content_sha256" -H "content-type: applica       tion/json" -H "content-length: $content_length" -H "Authorization: Signature version=\"1\",keyId=\"$tenancy_ocid/$user_ocid/$fingerprint\",algorithm=\"rsa-       sha256\",headers=\"$headers\",signature=\"$signature\""

This is the file request.json:

{
    "cpuCoreCount" : 6
}

3.  OCI Command Line Interface (OCI CLI)

This is a good blog article on setting this up, here are the basic steps:

• Install OCI CLI or use the cloud shell which has the cli already installed
• Setup instance principal — instead of using an instance principal you may need to use a userid and token 
• Create the script — here is the oci cli command reference manual for cloud-vm-cluster update

This is the example script:

#!/bin/bash

export OCI_CLI_AUTH=instance_principal

oci db cloud-vm-cluster update --cloud-vm-cluster-id ocid1.cloudvmcluster.oc1.phx.abyhqljrchvzy3scg4i5c4vykzrjszncnramcftjwymxkiaznis5xxxxxxxx --cpu-core-count 6  --auth instance_principal

You will need to modify the vm cluster ocid.   This script changes the vm cluster to 6 OCPUs(cores).

4.   dbaascli

On ExaCC only, you can change the OCPUs(cores) with dbaascli.   Login into one of the compute nodes within the VM Cluster you would like to modify and issue the command below.   Here is the documentation.

dbaascli cpuScale update --coreCount 3

This will change each node within the cluster to 3 OCPUs(cores).

Migrating SQL Server to Oracle Cloud database offline

This blog covers the basic steps in migrating a SQL Server 2016 database to Autonomous Database 19c via SQL Developer migration tool offline. 

What I used:

• SQL Server 2016 running on a Windows server in OCI as the source in online mode
• Autonomous Database on Shared infrastructure as the target in offline mode
• SQL Developer 21.4.3 running on the same server as SQL Server
• SQL Developer documentation

Basic steps all within SQL Developer:

• create connection to the source (SQL Server 2016) 
• Setup migration repository,  I used a different schema within the target Autonomous Database
• capture source information online
• review convert/translate options for meta info, procedures, triggers, views, ...
• select offline mode for DDL and data
• run the job
• after job is completed run the DDL, extract data from source and load the data to the target

Almost always you will use offline in which SQL Developer creates the scripts which you will use to move a production database.  Online is nice for testing.   

After creating connections within SQL Developer to the source and target as well as setting up the migration repository select Tools->Migration->Migrate.   

Step 1 -- Overview of migration steps

Step 2 -- Select migration repository

Step 3 -- Create project, note that this is where the scripts and
data will be stored so make sure you have enough storage
as well as where to place the files perhaps on a NFS mount
that both could access.

Step 4:  Select Source in online mode

Step 5:  Select Database(s)

Step 6: Review data type convert options

Step 7:  Select Objects to migrate, default is all

Step 8:  Select offline to move DDL

Step 9:  Select data to be moved offline

Step 10: Summary and Start job to migrate

After the job is completed successfully you will want to run the scripts to create the DDL and copy the data to the target database.  

In the project directory you will find the DDL and data scripts

Run the master.sql script on the target which creates the DDL

These are the scripts to extract and load the data

command parameters are IP address of source database, 
userid and password to connect to source.  This command
exports the data from source database to files

command parameters are connect string , user and password

to the target database.   This commands loads the data from

the files to the target database.

Migrating SQL Server to Oracle Cloud database online

This blog covers the basic steps in migrating a SQL Server 2016 database to Autonomous Database 19c via SQL Developer online migration tool. 

What I used:

• SQL Server 2016 running on a Windows server in OCI as the source
• Autonomous Database on Shared infrastructure as the target
• SQL Developer 21.4.3 running on the same server as SQL Server
• SQL Developer documentation

Basic steps all within SQL Developer:

• create connections to the source (SQL Server 2016) and target (Autonomous Database)
• Setup migration repository,  I used  a different schema within the target Autonomous Database
• capture source information
• review convert/translate options for meta info, procedures, triggers, views, ...
• create target
• submit the job to create the DDL and move the data

Almost always you will use offline in which SQL Developer creates the scripts which you will use to move a production database.  Online is nice for testing.   

After creating connections within SQL Developer to the source and target as well as setting up the migration repository select Tools->Migration->Migrate.   

Step 1 -- Info on steps

Step 2 -- Select repository

Step 3 -- Create project

Step 4 -- Select source

Step 5 -- Select database(s) 

Step 6 -- Convert data types

Step 7 -- Select objects to be converted

Step 8 -- Select target 

Step 9 -- Select move data online

Step 10 -- Start job to migrate

After job is completed using SQL Developer to view the migrated objects and data.  Image below shows the source and new target. 

Connecting Oracle Analytics Cloud to an Oracle cloud database with a private endpoint

This blog is one example on how to connect OAC to an Oracle Cloud database with a private endpoint  using OAC's private access channel. The basic steps are:

1. Use Oracle Cloud Infrastructure Console to configure a private access channel within your OAC instance.
2. From your OAC instance create a data connection to the private database.

Refer to the documentation for all of the detail regarding setting this up, in particular the prerequisites. 

I used the following OCI Services:

• Oracle Analytics Cloud (OAC) with the Enterprise Analytics feature.
• Exadata Cloud Service (ExaCS) with an 19c pluggable database. 

Step 1 -- Creating private access channel

Using the OCI Console access your OAC instance, navigate to the Resources section, click Private Access Channel, and then click Configure Private Access Channel.

The private access channel above and the ExaCS were in the same private subnet which makes it easier.  Private access channel requires four IP addresses, two IP addresses are required for network traffic egress, one IP address for the private access channel, and one reserved for future use. 

After about 30 minutes you can click on the created private access channel and note the ip addresses it is using within the subnet. 

Step 2 -- Creating private access channel

OAC can't access private data sources on an Oracle Database that uses a Single Client Access Name (SCAN). If you want to connect Oracle Analytics Cloud to an Oracle Database that uses a SCAN, use one of the following methods to set up the connection in Oracle Analytics Cloud: connect directly to the Oracle Database nodes, instead of SCAN or configure an Oracle Connection Manager in front of SCAN.

From your OAC Home Page, click Create, and then click Connection,  and Oracle Database.

When using ExaCS the default connection strings all use SCAN.  Below are three examples connecting to a PDB on ExaCS that uses the compute node names instead. 

Basic connection to a single compute node

Advanced with long connection string

(DESCRIPTION=(ENABLE=BROKEN)
(ADDRESS_LIST= (LOAD_BALANCE=on)(FAILOVER=ON)
(ADDRESS=(PROTOCOL=tcp)(HOST=exacsphx1-8abcd1.sub1111112222.exacsvcnphx1.oraclevcn.com)(PORT=1521))
(ADDRESS=(PROTOCOL=tcp)(HOST=exacsphx1-8abcd2.sub111111222.exacsvcnphx1.oraclevcn.com)(PORT=1521)))

(CONNECT_DATA=(SERVICE_NAME=GFSwing_SCALE100.paas.oracle.com)))

Advanced with easy connection string
exacsphx1-8abcd2.sub111111222.exacsvcnphx1.oraclevcn.com:1521/GFSwing_SCALE100.paas.oracle.com

Thanks.