Cluster Service with and without Domain Parameter

Service with Domain Parameter: 

SQL> show parameter domain

NAME      TYPE VALUE

------------------------------------ ----------- ------------------------------

db_domain      string corporation.local

Add Service with srvctl: (If you do not qualify the names in this parameter with a domain, Oracle qualifies them with the value of the DB_DOMAIN parameter) 

[oracle@racnode05 ~]$srvctl add service -d poc19c00 -r POC19C001,POC19C002 -s poc19c0_s1 -l PRIMARY -e SELECT -m BASIC -P BASIC

   

[oracle@racnode05 ~]$ srvctl start service -d poc19c00

[oracle@racnode05 ~]$ srvctl status service -d poc19c00

Service poc19c0_s1 is running on instance(s) POC19C001,POC19C002

Service details from listener status:

[oracle@racnode05 ~]$ lsnrctl status listener

LSNRCTL for Linux: Version 19.0.0.0.0 - Production on 24-SEP-2020 03:37:12

Copyright (c) 1991, 2020, Oracle.  All rights reserved.

Connecting to (ADDRESS=(PROTOCOL=tcp)(HOST=)(PORT=1521))

STATUS of the LISTENER

------------------------

Alias                     LISTENER

Version                   TNSLSNR for Linux: Version 19.0.0.0.0 - Production

Start Date                23-SEP-2020 23:50:42

Uptime                    0 days 3 hr. 46 min. 29 sec

Trace Level               off

Security                  ON: Local OS Authentication

SNMP                      OFF

Listener Parameter File   /oracle/19.0.0/grid/network/admin/listener.ora

Listener Log File         /oracle/grid/diag/tnslsnr/racnode05/listener/alert/log.xml

Listening Endpoints Summary...

  (DESCRIPTION=(ADDRESS=(PROTOCOL=ipc)(KEY=LISTENER)))

  (DESCRIPTION=(ADDRESS=(PROTOCOL=tcp)(HOST=00.000.00.5)(PORT=1521)))

  (DESCRIPTION=(ADDRESS=(PROTOCOL=tcp)(HOST=00.000.00.6)(PORT=1521)))

Services Summary...

Service "+ASM" has 1 instance(s).

  Instance "+ASM1", status READY, has 1 handler(s) for this service...

Service "+ASM_ORADSKGRP1" has 1 instance(s).

  Instance "+ASM1", status READY, has 1 handler(s) for this service...

Service "+ASM_ORADSKGRP2" has 1 instance(s).

  Instance "+ASM1", status READY, has 1 handler(s) for this service...

Service "+ASM_VOTEDISK" has 1 instance(s).

  Instance "+ASM1", status READY, has 1 handler(s) for this service...

Service "POC19C00" has 1 instance(s).

  Instance "POC19C001", status READY, has 2 handler(s) for this 

service...

Service "poc19c0_s1.corporation.local" has 1 instance(s).

  Instance "POC19C001", status READY, has 2 handler(s) for this service...

The command completed successfully

Service without  Domain Parameter: 

SQL> show parameter domain

NAME      TYPE VALUE

------------------------------------ ----------- ------------------------------

db_domain      string corporation.local

unset domain parameter and restart db:

SQL>  alter system set db_domain='' scope=spfile sid='*';

System altered.

[oracle@racnode05 ~]$ srvctl status database -d poc19c00

Instance POC19C001 is running on node racnode05

Instance POC19C002 is running on node racnode06

[oracle@racnode05 ~]$ srvctl stop database -d poc19c00

[oracle@racnode05 ~]$ srvctl start database -d poc19c00

[oracle@racnode05 ~]$ srvctl status database -d poc19c00

Instance POC19C001 is running on node racnode05

Instance POC19C002 is running on node racnode06

Check Service details:

[oracle@racnode05 ~]$ lsnrctl status listener

LSNRCTL for Linux: Version 19.0.0.0.0 - Production on 24-SEP-2020 03:41:03

Copyright (c) 1991, 2020, Oracle.  All rights reserved.

Connecting to (ADDRESS=(PROTOCOL=tcp)(HOST=)(PORT=1521))

STATUS of the LISTENER

------------------------

Alias                     LISTENER

Version                   TNSLSNR for Linux: Version 19.0.0.0.0 - Production

Start Date                23-SEP-2020 23:50:42

Uptime                    0 days 3 hr. 50 min. 20 sec

Trace Level               off

Security                  ON: Local OS Authentication

SNMP                      OFF

Listener Parameter File   /oracle/19.0.0/grid/network/admin/listener.ora

Listener Log File         /oracle/grid/diag/tnslsnr/racnode05/listener/alert/log.xml

Listening Endpoints Summary...

  (DESCRIPTION=(ADDRESS=(PROTOCOL=ipc)(KEY=LISTENER)))

  (DESCRIPTION=(ADDRESS=(PROTOCOL=tcp)(HOST=00.000.00.5)(PORT=1521)))

  (DESCRIPTION=(ADDRESS=(PROTOCOL=tcp)(HOST=00.000.00.6)(PORT=1521)))

Services Summary...

Service "+ASM" has 1 instance(s).

  Instance "+ASM1", status READY, has 1 handler(s) for this service...

Service "+ASM_ORADSKGRP1" has 1 instance(s).

  Instance "+ASM1", status READY, has 1 handler(s) for this service...

Service "+ASM_ORADSKGRP2" has 1 instance(s).

  Instance "+ASM1", status READY, has 1 handler(s) for this service...

Service "+ASM_VOTEDISK" has 1 instance(s).

  Instance "+ASM1", status READY, has 1 handler(s) for this service...

Service "POC19C00" has 1 instance(s).

  Instance "POC19C001", status READY, has 2 handler(s) for this 

service...

Service "poc19c0_s1" has 1 instance(s).

  Instance "POC19C001", status READY, has 2 handler(s) for this service...

The command completed successfully

If DB_DOMAIN is not specified, then no domain will be applied to the non-qualified SERVICE_NAMES values

Find default ExaCS Storage Server Username and Password

On Exadata Cloud@Customer, the preconfigured user for Exadata Storage Server is cloud_user_clustername, where clustername is the name of the virtual machine (VM) cluster that is being used.

Check Clustername:

[grid@exanode1 ~]$ crsctl get cluster name

CRS-6724: Current cluster name is 'CLUSTER_NAME'

The password for cloud_user_clustername is initially set to a random value

Check default password:

[root@exanode1 ~]# /opt/exacloud/get_cs_data.py --data_file /opt/exacloud/cs_data.enc

**********************  PASSWORD

bitmap and b-tree indexes

In this article, we'll explain bitmap and b-tree indexes along with an example and corresponding commands for creating each type of index. 

B-Tree Index:

• B-tree indexes are widely used in database systems, including Oracle. The "B" in B-tree stands for balanced, indicating that these indexes maintain a balanced tree structure.

• B-tree indexes are most suitable for columns with high cardinality, meaning they have many distinct values. Examples of such columns include primary keys, unique identifiers, and highly selective columns.

• The structure of a B-tree index consists of multiple levels, starting with a root node and extending to leaf nodes. Leaf nodes contain index key values and pointers to the corresponding rows in the table.

• B-tree indexes excel in supporting range searches and equality conditions. They efficiently find a specific value or a range of values within the index, making them beneficial for queries involving comparisons such as greater than, less than, or between.

• Updates and inserts on B-tree indexes can be efficient due to the balanced structure, as the index tree does not require significant restructuring during modifications.

• B-tree indexes work well for queries that retrieve a small percentage of rows from a table, as they provide efficient navigation to the desired data.

Example: Let's assume we have a table called employees with columns employee_id, first_name, last_name, and we want to create a B-tree index on the last_name column.
Command to create a B-tree index:
CREATE INDEX idx_employees_last_name ON employees(last_name);

Bitmap Index:

• Bitmap indexes are suitable for columns with low cardinality, meaning they have few distinct values. Examples include boolean fields or columns representing categories or flags.

• Bitmap indexes create a bitmap for each distinct value in the indexed column. A bitmap is a sequence of bits, where each bit represents a row in the table. The bits are set to 1 if the corresponding row contains the indexed value and 0 otherwise.

• Bitmap indexes are efficient for queries involving multiple conditions combined with logical AND or OR operations. They can quickly determine which rows satisfy complex combinations of conditions by performing bitmap operations like AND, OR, and NOT on the bitmaps.

• Bitmap indexes require less storage space compared to B-tree indexes for columns with low cardinality since they represent the presence or absence of a value rather than storing individual pointers.

• Updates and inserts on bitmap indexes can be relatively expensive, especially if the index covers many rows. Modifying a single row may require updating multiple bitmaps.

Example: Let's consider a table called orders with columns order_id, product_name, order_date, and we want to create a bitmap index on the product_name column.

Command to create a Bitmap index:
CREATE BITMAP INDEX idx_orders_product_name ON orders(product_name);

B-tree indexes are well-suited for high cardinality columns and queries involving range searches and equality conditions. Bitmap indexes are effective for low cardinality columns and queries with complex combinations of conditions. It's essential to analyze your data and query patterns to determine the most appropriate index type for your specific use case.

 

 

Partition pruning

Partition pruning is a performance optimization technique used in databases that store data in partitioned tables. Partitioning is a technique used to divide a large table into smaller, more manageable parts called partitions, based on a partition key. Each partition is a separate physical segment of the table, and data is stored in each partition based on the partition key.

Partition pruning is the process of eliminating partitions that do not need to be scanned based on the conditions specified in a SQL query. When a query is executed on a partitioned table, the optimizer checks the WHERE clause of the query to see if it includes a predicate that matches the partition key. If a partition key is used in the WHERE clause, the optimizer can prune partitions that do not need to be scanned, based on the partition key values in the query.

For example, consider a partitioned table that is partitioned by date, with each partition representing a month of data. If a query is executed with a date range in the WHERE clause, the optimizer can prune partitions that fall outside of the date range, and only scan the partitions that contain data within the specified date range. This can significantly reduce the amount of data that needs to be scanned and improve query performance.

Partition pruning is a powerful technique that can significantly improve query performance on partitioned tables. It is important to design partitioning schemes and queries with partition pruning in mind, to ensure that the optimizer can take advantage of this optimization technique.

About Me

Hello! I’m a Certified Multi-Cloud Architect with over 15 years of experience in designing, migrating, and optimizing cloud-based database solutions. Throughout my career, I’ve developed a deep passion for helping organizations build efficient, scalable, and high-performing cloud infrastructures. My expertise centers around Cloud Database Migration, Integration, and helping businesses get the most out of their cloud investments.

I specialize in a variety of cloud database technologies, including Couchbase, PostgreSQL, Microsoft SQL Server, Oracle, and Oracle NoSQL. I have worked extensively with Oracle databases, Oracle Clusters, and Oracle Engineered Systems like Exadata, leveraging these powerful tools to deliver high-performance, high-availability solutions. Additionally, I focus on storage solutions to ensure robust performance and reliability across cloud platforms.

I’m passionate about solving complex cloud challenges and driving digital transformation for organizations. As a forward-thinking professional, I thrive in environments that push the boundaries of innovation, and I’m always eager to collaborate on cutting-edge cloud solutions that empower businesses to achieve their goals.

Let’s build something extraordinary together!

Follow Me on LinkedIn

Nested, hash, merge, and cartesian joins

Are you trying to understand the differences between nested, hash and merge joins? Joins are an essential part of working with data and understanding the nuances between each type of join can make a big difference in the accuracy of your queries and the performance of your database. In this blog, we’ll explore the differences between nested, hash and merge joins, and discuss the advantages and drawbacks of each

Nested Join: A nested join is a type of join operation in which a query is executed on a table, and for each row returned by the query, another query is executed on another table. This type of join is also known as a correlated subquery.

Nested joins can be computationally expensive because they involve executing a subquery for each row returned by the outer query. As a result, nested joins can become very slow for large tables or when the subquery returns a large number of rows.

Hash Join: A hash join is a type of join operation in which the database system creates a hash table of one table and then uses that hash table to join it with another table. This type of join is efficient for large tables with no indexes.

Hash joins can be very fast for large tables with no indexes. However, if the tables are too small or if there are many indexes on the tables, the overhead of creating and manipulating hash tables can make hash joins less efficient than other join algorithms.

Merge Join: A merge join is a type of join operation in which the database system sorts two tables based on a common column and then combines them using a merge algorithm. This type of join is efficient for large tables with indexes.

Merge joins can be very efficient for large tables with indexes, as they can take advantage of the pre-sorted order of the tables to avoid expensive sorting operations. However, if the tables are not sorted or if there are no indexes on the join columns, merge joins can be slower than other join algorithms.

Cartesian Join: A cartesian join is a type of join operation in which the database system combines each row from one table with every row from another table, resulting in a large number of rows. This type of join is used when no join condition is specified.

Cartesian joins can be very slow for large tables, as they can generate a very large number of intermediate rows. It is important to ensure that the cartesian join is necessary and that it is not generating unnecessary rows before executing the query.

In summary, the performance of a join operation depends on several factors, including the size of the tables, the selectivity of the join condition, the available indexes, and the characteristics of the join algorithm. It is important to carefully consider these factors when choosing a join algorithm to ensure optimal performance.

Upload large file to Oracle SR

upload huge logs to oracle SR using curl from db server directly 

curl -T "filename" -u "supportloginid" https://transport.oracle.com/upload/issue/SR-Number/

failed to start asm on node4 with error CRS-2552: There are no available instances of resource 'ora.asm' to start.

Unable to start asm instance after adding 4 node to 3 node 19c cluster

[grid@racnode04 ~]$ srvctl start  asm -n racnode04

PRCR-1013 : Failed to start resource ora.asm

PRCR-1064 : Failed to start resource ora.asm on node racnode04

CRS-2552: There are no available instances of resource 'ora.asm' to start.

Verify asm status 

[grid@racnode03 ~]$ srvctl status asm

ASM is running on racnode02,racnode03,racnode01

Check asm instance count:

[grid@racnode04 ~]$ srvctl config asm

ASM home: <CRS home>

Password file: +VoteDisk/orapwASM

Backup of Password file: +VOTEDISK/orapwASM_backup

ASM listener: 

ASM instance count: 3

Cluster ASM listener: ASMNET1LSNR_ASM

Check cardinality

[grid@racnode01 ]$ crsctl status resource ora.asm -f | grep CARDINALITY=

CARDINALITY=3

Both instance count and cardinality set to 3 , it allows only 3 ams instance, asm on node4 can able to start after setting these number to 4 

Modify the Oracle ASM instance count, or cardinality 

[grid@racnode04 ~]$ srvctl modify asm -count 4

[grid@racnode04 ~]$ srvctl modify asm -count ALL

Verify Oracle ASM instance count, or cardinality

[grid@racnode04 ~]$ srvctl config asm

ASM home: <CRS home>

Password file: +VoteDisk/orapwASM

Backup of Password file: +VOTEDISK/orapwASM_backup

ASM listener: 

ASM instance count: 4

Cluster ASM listener: ASMNET1LSNR_ASM

[grid@racnode04 ~]$ crsctl status resource ora.asm -f | grep CARDINALITY=

CARDINALITY=4

Start ASM instance on Node4:

[grid@racnode04 ~]$ srvctl start  asm -n racnode04

[grid@racnode04 ~]$ srvctl status asm

ASM is running on racnode02,racnode03,racnode01,racnode04

19.7 Grid upgrade: rootupgrade.sh fails on first node

 rootupgrade.sh failed with below error while upgrading Grid from 18.3 to 19.7.0.0

Error:

CRS-2676: Start of 'ora.cssdmonitor' on 'node01' succeeded

CRS-1609: This node is unable to communicate with other nodes in the cluster and is going down to preserve cluster integrity;

details at (:CSSNM00086:) in /app/grid/diag/crs/node01/crs/trace/ocssd.trc.

CRS-2883: Resource 'ora.cssd' failed during Clusterware stack start.

CRS-4406: Oracle High Availability Services synchronous start failed.

CRS-41053: checking Oracle Grid Infrastructure for file permission issues

CRS-4000: Command Start failed, or completed with errors. 2020/09/07 09:08:46

CLSRSC-117: (Bad argc for has:clsrsc-117) Died at /u01/app/19.3.0.0/grid/crs/install/crsupgrade.pm line 1617.

 

We can get deviated with  “unable to communicate with other nodes”  errors in alert and trace files, Started looking communication between nodes

 

1.  Verified ssh connectivity between nodes , Its working fine

2.  Verified ping and traceroute , Looks good

From Node 1:

+ ping -s 9000 -c 4 -I <node1-private address> <node1-private address>

+ ping -s 9000 -c 4 -I <node1-private address> <node2-private address>

 

+ traceroute -s <node1-private address> -r -F <node1-private address> 8972

+ traceroute -s <node1-private address> -r -F <node2-private address> 8972

 

From Node 2:

+ ping -s 9000 -c 4 -I <node2-private address> <node1-private address>

+ ping -s 9000 -c 4 -I <node2-private address> <node2-private address>

 

+ traceroute -s <node2-private address> -r -F <node1-private address> 8972

+ traceroute -s <node2-private address> -r -F <node2-private address> 8972

 

While checking gipcd.trc found some failed errors:

020-09-07 08:21:27.483 : GIPCTLS:474797824:  gipcmodTlsAuthInit: tls context initialized successfully

2020-09-07 08:21:27.524 :GIPCXCPT:474797824:  gipcmodTlsLogErr: [NZOS], ssl_Handshake failed to perform operation on handshake with NZERROR [29024]

2020-09-07 08:21:27.524 :GIPCXCPT:474797824:  gipcmodTlsAuthStart: ssl_Handshake() failed with nzosErr : 29024, ret gipcretTlsErr (49)

 

As per bug id 2667217.1, Similar error reported in 19.6 upgrade

Workaround on 19.7:

1) Run rootupgrade.sh on node1

2) When it fails on Node1 with this error, then shutdown crs on node 2

  cd <18c_Gridhome/bin>

   ./crsctl stop crs

3)rerun rootupgrade.sh on node1

Check CPU Clock Speed on Linux

we can find cpu processor details using below commands 

1. lscpu: 

It display information about the CPU architecture

# lscpu

Architecture:          x86_64

CPU op-mode(s):        32-bit, 64-bit

Byte Order:            Little Endian

CPU(s):                96

On-line CPU(s) list:   0-95

Thread(s) per core:    2

Core(s) per socket:    24

Socket(s):             2

NUMA node(s):          1

Vendor ID:             GenuineIntel

CPU family:            6

Model:                 85

Model name:            Intel(R) Xeon(R) Platinum 8168 CPU @ 2.70GHz

Stepping:              4

CPU MHz:               3374.652

CPU max MHz:           3700.0000

CPU min MHz:           1200.0000

BogoMIPS:              5400.00

Virtualization:        VT-x

L1d cache:             32K

L1i cache:             32K

L2 cache:              1024K

L3 cache:              33792K

NUMA node0 CPU(s):     0-95

2. dmidecode: print cpu speed

# dmidecode -t processor | grep "Speed"

        Max Speed: 4000 MHz

        Current Speed: 2700 MHz

        Max Speed: 4000 MHz

        Current Speed: 2700 MHz

3. Each CPU processor details from  /proc/cpuinfo file 

cat  /proc/cpuinfo

cat  /proc/cpuinfo | grep 

Unable to delete archives in Standby db with rman

RMAN-08137: warning: archived log not deleted Error while deleting archive after backup using below command 

backup archivelog all format '/backup/$ORACLE_SID/arch/arch_flashblade_%d_%t_%s_%p' DELETE INPUT FILESPERSET 1;

Error:

piece handle=/backup/proddb01/arch/arch_flashblade_proddb0_1089597818_9469_1 tag=TAG20211126T020225 comment=NONE

channel c2: backup set complete, elapsed time: 00:00:51

channel c2: deleting archived log(s)

RMAN-08137: warning: archived log not deleted, needed for standby or upstream capture process

archived log file name=/san/proddb0_fra/1_7456_1085402700.arc thread=1 sequence=7456

Cause:

log_archive_dest_2 on standby which points to primary database was deferred

SQL> show parameter dest_2

NAME                                 TYPE        VALUE

------------------------------------ ----------- ------------------------------

db_create_online_log_dest_2          string

log_archive_dest_2                   string      SERVICE=proddb01 LGWR ASYNC VALID_FOR=(ONLINE_LOGFILES,PRIMARY_ROLE) DB_UNIQUE_NAME=proddb01

SQL> show parameter log_archive_dest_state_2

NAME                                 TYPE        VALUE

------------------------------------ ----------- ------------------------------

log_archive_dest_state_2             string      DEFER

log_archive_dest_state_20            string      enable

log_archive_dest_state_21            string      enable

log_archive_dest_state_22            string      enable

log_archive_dest_state_23            string      enable

log_archive_dest_state_24            string      enable

log_archive_dest_state_25            string      enable

log_archive_dest_state_26            string      enable

log_archive_dest_state_27            string      enable

log_archive_dest_state_28            string      enable

log_archive_dest_state_29            string      enable

Solution:

set null values to dest_2 and enable dest_state_2

SQL> alter system set log_archive_dest_2='' scope=both sid='*';

System altered.

SQL> alter system set log_archive_dest_state_2=enable scope=both sid='*';

System altered.

How to Install and Upgrade Terraform

Install Terraform on MAC:

1.Install Homebrew (The Missing Package Manager for macOS and Linux)
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install.sh)"
2. Install terraform
$ brew install terraform
3. Check terraform Version 
$ terraform -v

Terraform v0.13.2

Install Terraform on Linux:

1.Download software from https://www.terraform.io/downloads.html

2.Copy Software to linux machine and unzip 

/home/oracle>unzip terraform_0.13.2_linux_amd64.zip

Archive:  terraform_0.13.2_linux_amd64.zip

  inflating: terraform      

         

/home/oracle> ls -ltr

total 117600

-rwxr-xr-x 1 oracle oinstall 85545348 Sep 1 07:39 terraform

-rw-r--r-- 1 oracle oinstall 34869122 Sep 1 08:16 terraform_0.13.2_linux_amd64.zip

3.Move Terraform to linux home path 

/home/oracle> mv terraform /usr/local/bin

/home/oracle> ls -ltr /usr/local/bin

total 83564

-rwxr-xr-x 1 oracle oinstall 85545348 Sep  1 07:39 terraform

4.Check terraform version 

/home/oracle> terraform -v

Terraform v0.13.2

Upgrade terraform to latest Version in MAC:

1.Present version 13.2 is out of date 

$terraform version 

Terraform v0.13.2

Your version of Terraform is out of date! The latest version

is 0.13.4. You can update by downloading from https://www.terraform.io/downloads.html

2.Upgrade to latest version (13.4)

$ brew upgrade terraform

Updating Homebrew...

==> Auto-updated Homebrew!

Updated 1 tap (homebrew/core).

==> New Formulae

asroute               flit                  leaf                  libnetfilter-queue    libxcomposite         libxkbfile            libxv                 server-go             xdpyinfo

blaze                 font-util             libaio                libnfnetlink          libxcursor            libxmu                libxvmc               shtools               xorgproto

box2d                 foreman               libdmx                libpciaccess          libxdamage            libxpm                libxxf86dga           structurizr-cli       xtrans

cloudformation-guard  fpart                 libdrm                libpthread-stubs      libxdmcp              libxrandr             libxxf86vm            tfsec                 zsh-you-should-use

commitizen            gcalcli               libfontenc            libsm                 libxext               libxrender            matplotplusplus       trunk

cvs-fast-export       git-hound             libfs                 libx11                libxfixes             libxres               or-tools              util-macros

device-mapper         gitql                 libgccjit             libxau                libxfont              libxscrnsaver         postgresql@12         vivid

dotnet                googletest            libhandy              libxaw                libxft                libxshmfence          protoc-gen-go-grpc    webify

envoy                 gost                  libice                libxaw3d              libxi                 libxt                 python@3.9            x86_64-elf-gdb

fleet-cli             halide                libmnl                libxcb                libxinerama           libxtst               rustscan              xcb-proto

==> Updated Formulae

Updated 1203 formulae.

==> Renamed Formulae

gst-validate -> gst-devtools

==> Deleted Formulae

meson-internal                                                                                       xu4

==> Upgrading 1 outdated package:

terraform 0.13.2 -> 0.13.4

==> Upgrading terraform 0.13.2 -> 0.13.4 

==> Downloading https://homebrew.bintray.com/bottles/terraform-0.13.4.catalina.bottle.tar.gz

==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/05e7bf567f54c8396df8cf90470e573f5b08ebe8920bad1e638f531a54a152b6?response-content-disposition=attachment%3Bfilename%3D%22terraform-0.13.4.cat

######################################################################## 100.0%

==> Pouring terraform-0.13.4.catalina.bottle.tar.gz

🍺  /usr/local/Cellar/terraform/0.13.4: 6 files, 67.6MB

==> `brew cleanup` has not been run in 30 days, running now...

Removing: /usr/local/Cellar/terraform/0.13.2... (6 files, 67.6MB)

Removing: /Users/jay/Library/Caches/Homebrew/terraform--0.13.2.catalina.bottle.tar.gz... (19.8MB)

Removing: /Users/jay/Library/Logs/Homebrew/terraform... (64B)

3.Verify terraform version after upgrade

$ terraform version 

Terraform v0.13.4