USE information_schema;
DESC MV_DATA_DISK_USAGE;
SELECT * FROM MV_DATA_DISK_USAGE;
SELECT DATABASE_NAME, FORMAT(SUM(`BLOBS_B`) / 1024/1024, 0) MB
FROM MV_DATA_DISK_USAGE
GROUP BY DATABASE_NAME
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import { DBSQLClient } from "@databricks/sql"; | |
import IDBSQLSession from "@databricks/sql/dist/contracts/IDBSQLSession"; | |
interface DataBricksWareHouseConnect { | |
token: string; | |
host: string; | |
path: string; | |
} | |
class DataBricksManager { |
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from databricks import sql | |
DATABRICKS_USE2_PAT = "" | |
use2_workspace = sql.connect( | |
server_hostname="<YOUR-SERVER-HOSTNAME>", | |
http_path="<YOUR-HTTP-PATH>", | |
access_token=DATABRICKS_USE2_PAT, | |
catalog="<YOUR-CATALOG-NAME>", | |
schema="<YOUR-SCHEMA-NAME>" |
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bedrock_agent: | |
role: > | |
Bedrock AI Assistant | |
goal: > | |
Help users generate responses using AWS Bedrock's LLM. | |
backstory: > | |
You are an advanced AI assistant powered by AWS Bedrock. You excel at processing | |
and generating meaningful insights from textual data. | |
tools: | |
- bedrock_tool |
- Print all of the JSON content in a key value pair, like in an environment file.
echo '{"key1":"value1", "key2": "value2", "key3": "value3"}'\
| jq -r 'to_entries|map("\(.key)=\(.value|tostring)")|.[]'
echo '{"key1":"value1", "key2": "value2", "key3": "value3"}'\
| jq -r 'to_entries[] | "\(.key)=\(.value | tostring)"'
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#!/bin/bash | |
current_time=$(date "+%Y_%m_%dT%H_%M_%S") | |
rm -rf .my_job 2> /dev/null | |
mkdir -p .my_job | |
mkdir -p .my_job/{100,101,102,103,104,105,106,107,108,109,110} | |
ls -d .my_job/* | xargs -I {} bash -c "cd '{}' && touch sample_$random_$current_time.txt" | |
curl -s -X GET https://filesamples.com/samples/document/csv/sample4.csv -o .my_job/sample_$current_time.csv | |
curl -s -X GET https://filesamples.com/samples/document/pdf/sample2.pdf -o .my_job/sample_$current_time.pdf | |
curl -s -X GET https://filesamples.com/samples/document/xls/sample3.xls -o .my_job/sample_$current_time.xls |
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-- Delete a key from JSON Object | |
-- INPUT: {"somekey":"somevalue", "meta": {"ui": false, "miscTest": {"unit": "kWh", "value": 10}}} | |
UPDATE myTable | |
SET meta=JSON_DELETE_KEY(meta, 'miscTest') | |
WHERE id="85c8a446-fe24-11ed-8abf-af2f19c7e27f"; | |
-- RESULT: {"somekey":"somevalue", "meta": {"ui": false}} | |
-- Update a key in JSON Object | |
-- INPUT: {"somekey":"somevalue", "meta": {"ui": false}} |
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@echo off | |
echo %DATE% %TIME%>C:\Users\Swateek\Downloads\tmp\abc_%RANDOM%.txt |
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If you'r using MAC Intel CPU you want to use VMware to virtual your desired OS such Windows or Ubuntu on the MAC OS you need to download VMware Fusion Player first then it has two version Pro and Player, the Player version is free for personal use but you need to create VM account to download and licence key. | |
You can create account to download yourself here: | |
https://customerconnect.vmware.com/group/vmware/evalcenter?p=fusion-player-personal | |
If you don't want to create account to get license, you can try below original license key for VMware Fusion Player: | |
COMPONENT: | |
VMware Fusion Player – Personal Use |
This document summarizes notes taken while to make the VMWare Tech preview work on Apple M1 Pro, it originated from discussions in hashicorp/vagrant-vmware-desktop#22
First install Rosetta if not already done, this is needed to run x86 code:
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