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Channel
SQL Programming Resources
@sqlanalyst
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Telegram's recommendations · Cite this entry
76,675subscribers
+119 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001867793926 |
|---|---|
| Type | Channel |
| Username | @sqlanalyst |
| Description | Find top SQL resources from global universities, cool projects, and learning materials for data analytics. Admin: @coderfun Useful links: heylink.me/DataAnalytics Promotions: @love_data |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/sqlanalyst |
Topic
Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 99% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 16:40 | 76,675 | +31 |
| 15 Sept 2026, 16:19 | 76,644 | -4 |
| 14 Sept 2026, 03:37 | 76,648 | +13 |
| 12 Sept 2026, 10:01 | 76,635 | -1 |
| 10 Sept 2026, 05:59 | 76,636 | -7 |
| 7 Sept 2026, 00:40 | 76,643 | -17 |
| 4 Sept 2026, 10:19 | 76,660 | +15 |
| 3 Sept 2026, 01:07 | 76,645 | -9 |
| 1 Sept 2026, 22:18 | 76,654 | -6 |
| 1 Sept 2026, 00:48 | 76,660 | +13 |
| 30 Aug 2026, 20:55 | 76,647 | +13 |
| 29 Aug 2026, 19:34 | 76,634 | +34 |
| 28 Aug 2026, 17:53 | 76,600 | -4 |
| 27 Aug 2026, 17:33 | 76,604 | -5 |
| 26 Aug 2026, 14:35 | 76,609 | +5 |
| 25 Aug 2026, 16:44 | 76,604 | -11 |
| 24 Aug 2026, 18:39 | 76,615 | -29 |
| 23 Aug 2026, 03:38 | 76,644 | -2 |
| 21 Aug 2026, 19:24 | 76,646 | +5 |
| 20 Aug 2026, 16:02 | 76,641 | first reading |
Engagement
187 posts held, back to 26 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 107 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.17%
- avg views ÷ 76,675 subscribers
- Avg views / post
- 895
- 105 posts measured
- Reaction rate
- 0.333%
- reactions ÷ views · ER floor
- Posts in window
- 105
- of 187 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 68 of 105 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 27 September 2026 |
|---|---|
| Posts held | 187 (26 July 2026 – 27 September 2026) |
| Views total | 93,953 |
| Reactions total | 217 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 13:52 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
- Photos
- 608
- Videos
- 1
- Links
- 577
Lifetime counters from Telegram’s own channel header, read 27 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 30s
- Average length
- 30s
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
480 reactions across 126 posts, in 7 distinct kinds. The most used accounts for 96.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 465 | 96.9% | |
| 👍 | 6 | 1.25% | |
| 👏 | 5 | 1.04% | |
| 🎉 | 1 | 0.208% | |
| 😍 | 1 | 0.208% | |
| 🤔 | 1 | 0.208% | |
| 🤣 | 1 | 0.208% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 129 of the 187 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 480 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 187 most recent posts we hold, published 26 July 2026 to 27 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Recent posts
Answer: Both uncommitted updates are rolled back, assuming the statements executed within the same transaction and the database/session supports the shown transaction behavior. 🔥 Mini Challenge Imagine an order-processing system. You need to: 1. Create an order. 2. Add an order item. 3. Reduce inventory. 4. Commit everything if successful. 5. Roll back if a critical operation fails. Write a transaction struct…
❤3
The exact workflow should follow your organization's production-change and approval procedures. 29️⃣ COMMIT vs SAVEPOINT vs ROLLBACK Remember: • COMMIT → Save the transaction • ROLLBACK → Undo uncommitted transaction changes • SAVEPOINT → Mark a point inside a transaction • ROLLBACK TO SAVEPOINT → Undo changes after that point Example: BEGIN; UPDATE customers SET status = 'Active' WHERE customer_id = 101; S…
will behave identically across every database. Always check the behavior of your specific database. 21️⃣ Transaction Isolation Levels Isolation is one of the deeper transaction concepts. Common isolation levels include: • READ UNCOMMITTED • READ COMMITTED • REPEATABLE READ • SERIALIZABLE Some databases also support additional modes or implement these differently. The general idea is: • More isolation ↓ Str…
ROLLBACK; If everything is correct: COMMIT; This can be useful when performing potentially dangerous data modifications. 1️⃣8️⃣ A Safe Pattern for Data Changes Before executing a large UPDATE or DELETE, analysts often first run a SELECT using the same condition. Instead of immediately doing: UPDATE customers SET status = 'Inactive' WHERE last_order_date < DATE '2024-01-01'; first check: SELECT * FROM custome…
The transaction can continue from there. Conceptually: Transaction starts ↓ Update 101 ↓ SAVEPOINT ↓ Update 102 ↓ ROLLBACK TO SAVEPOINT ↓ Update 101 remains, Update 102 is undone Exact savepoint syntax varies by database. 8️⃣ Why Are Transactions Important? Imagine an order-processing system. Creating an order might require: 1. Create order 2. Create order items 3. Reduce inventory 4. Record payment 5. Upd…
❤2
🚀 SQL Roadmap 2026 — Part 19 SQL Transactions — COMMIT, ROLLBACK & SAVEPOINT SQL isn't only about retrieving data. In real-world systems, SQL is also used to: • Insert records • Update records • Delete records • Process financial transactions • Move money between accounts • Update multiple related tables • Maintain data consistency But what happens when a process involves multiple SQL statements and one of…
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SQL Interview Questions with Answers 1. What is a primary key and why is it important in a database? - A primary key is a unique identifier for each record in a database table. It is important because it ensures that each record can be uniquely identified and helps maintain data integrity by preventing duplicate or null values. 2. Can you explain the difference between INNER JOIN and OUTER JOIN in SQL? - INNE…
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🚀 𝐁𝐞𝐜𝐨𝐦𝐞 𝐚𝐧 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐢𝐧 𝟐𝟎𝟐𝟔 🎯 Choose Your Learning Track: 💻 Java Full Stack + AI Engineering 🌐 MERN Full Stack + AI Engineering Placement Highlights: ₹41 LPA highest package | ₹7.4 LPA average package | 2,000+ students placed | 500+ hiring partners 🔗 𝗕𝗼𝗼𝗸 𝗙𝗥𝗘𝗘 𝗗𝗲𝗺𝗼 𝗖𝗹𝗮𝘀𝘀 :- https://pdlink.in/4fWJVID ⚡ AI is creating new career opportunities—start building the skills companies need in 2026!
EXPLAIN SELECT * FROM orders WHERE customer_id = 101; If supported by your database: EXPLAIN ANALYZE SELECT * FROM orders WHERE customer_id = 101; 🔥 Mini Challenge You have an "orders" table containing 50 million rows: • order_id • customer_id • order_date • status • region • order_amount The following query is running slowly: SELECT order_id, order_date, order_amount FROM orders WHERE custo…
❤6
Why? Because the query filters on: customer_id • order_date The database can then evaluate the index as part of its execution strategy. But you should verify the impact using an execution plan and real workload data. 30️⃣ Query Optimization Checklist When you have a slow SQL query, ask: Step 1 Do I actually need all columns? SELECT * may be unnecessary. Step 2 Can I filter earlier? WHERE can reduce the amo…
❤1
Showing the 12 most recent of 187 posts we hold for @sqlanalyst. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Polls
The 4 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
A customer has 3 orders. After joining customers with orders, how many rows can that customer produce?
- A) 119%
- B) 27%
- C) 361%
- D) 613%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Why can a JOIN cause duplicate rows?
- A) SQL automatically duplicates every row10%
- B) A table cannot contain unique values10%
- C) Multiple rows in one table can match the same row in another table73%
- D) GROUP BY always creates duplicates7%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
What does a LEFT JOIN return?
- A) Only matching rows5%
- B) All rows from the right table6%
- C) All rows from the left table and matching rows from the right table88%
- D) Only unmatched rows1%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Which JOIN returns only matching records from both tables?
- A) LEFT JOIN5%
- B) RIGHT JOIN2%
- C) INNER JOIN81%
- D) FULL OUTER JOIN11%
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 187 most recent posts we hold, published 26 July 2026 to 27 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Mentions
Named by 12 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
@learndataanalysis · 53,26218 postsMachine Learning & Artificial Intelligence | Data Science Free Courses
@datasciencefree · 68,43410 postsGoogle Jobs - FAANG Companies • Facebook • Microsoft • Amazon • Netflix • Apple
@FAANGJob · 26,89010 postsCoding & AI Resources
@leadcoding · 35,44410 postsMS Excel for Data Analysis
@excel_analyst · 72,8365 postsBest AI Tools | ChatGPT | Perplexity | Deepseek | Artificial Intelligence
@AI_Best_Tools · 58,4704 postsFreelancing Tips: Earn Money Online
@freelancing_upwork · 22,3664 postsData Engineers
@sql_engineer · 11,1263 postsAlgorithms and Data structure
@Algorithm_s1 · 261 postCoding Interview Resources
@crackingthecodinginterview · 52,2321 postData Analytics & AI | SQL Interviews | Power BI Resources
@Data_Visual · 27,5461 postCoding Projects
@Programming_experts · 67,6821 post
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
@sqlspecialist · 110,886#1
@jobs_SQL · 91,421#2
@excel_analyst · 72,836#3
@learndataanalysis · 53,262#4
@dsabooks · 59,137#5
@dataanalystinterview · 52,609#6
@machinelearning_deeplearning · 55,794#7
@pythonanalyst · 51,857#8
@Programming_experts · 67,682#9
@pythondevelopersindia · 63,454#10
@sqlproject · 39,680#11
@DataPortfolio · 38,028#12
@crackingthecodinginterview · 52,232#13
@programming_guide · 56,038#14
@MachineLearning9 · 41,424#15
@learngpt · 38,216#16
@InterviewBooks · 40,516#17
@sql_databases · 70,599#18
@Java_Programming_Notes · 33,275#19
@data_visualization_bds · 6,314#20
@DataAnalyticsX · 30,208#21
@Data_Visual · 27,546#22
@leadcoding · 35,444#23
@datasciencefree · 68,434#24
@PowerBI_analyst · 55,842#25
@pythonspecialist · 56,321#26
@datasciencefun · 77,580#27
@webdevcoursefree · 79,578#28
@udemy_free_courses_with_certi · 70,681#29
@sql_engineer · 11,126#30
@AI_Best_Tools · 58,470#31
@javascript_courses · 55,698#32
@Curiousprogrammer · 42,238#33
@aineeringdotcom · 16,029#34
@LearnPython3 · 125,222#35
@linkedin_learning · 217,924#36
@DataScienceInterviews · 27,673#37
@Python53 · 50,715#38
@PaperNexus · 33,858#39
@stockmarketinginsights · 25,970#40
@datasciencej · 8,316#41
@aiindi · 58,966#42
@CodeProgrammer · 68,301#43
@codingfreebooks · 32,555#44
@generativeai_gpt · 30,868#45
@JavaScript_Trainings · 96,712#46
@Jobs204 · 22,576#47
@webdev_trainings · 133,855#48
@Finance_Stock_Trading · 23,207#49
@Learn_Startup · 32,970#50
@pythonRe · 40,364#51
@webdevelopmentbook · 32,466#52
@datascience_bds · 13,964#53
@aijobss · 13,777#54
@pythonfreebootcamp · 40,776#55
@PythonInterviews · 28,969#56
@Bitcoin_Crypto_Web · 23,194#57
@AlwaysFreeUdemyCourses · 18,460#58
@Learn_Business_101 · 52,476#59
@DataAnalyticsJob · 13,015#60
@powerbi_sql_analyst · 6,794#61
@machine_learning_courses · 95,724#62
@ApacheSparkDevelopers · 7,803#63
@ml_ds_ai_jobs · 25,932#64
@coding_interview_preparation · 5,909#65
@ainews_daily · 3,926#66
@the_programming_girls · 30,491#67
@AWS_GCP_Azure · 5,465#68
@FAANGJob · 26,890#69
@CdiNotes · 19,502#70
@web_dev_bds · 4,373#71
@Machine_learn · 24,295#72
@jobinterviewsprep · 27,626#73
@getjobss · 113,437#74
@trueminds · 27,344#75
@englishlearnerspro · 41,600#76
@OpenAI_Mastery · 50,064#77
@internshiptojobs · 48,447#78
@BestFinanceBooks · 25,148#79
@ProgramsStore · 15,417#80
@HealthFitnessGymTips · 19,780#81
@DevopsDoc · 9,883#82
@remote_python_jobs · 4,955#83
@github_repositories_bds · 10,771#84
@aipost · 700,241#85
Read from Telegram’s recommendation API, most recently 19 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
@pythonanalyst · 51,857
Telegram ranks this channel #1 of 82 here — alongside 81 others — read 24 August 2026
@learndataanalysis · 53,262
Telegram ranks this channel #1 of 83 here — alongside 82 others — read 24 August 2026
@excel_analyst · 72,836
Telegram ranks this channel #1 of 84 here — alongside 83 others — read 20 August 2026
@sqlspecialist · 110,886
Telegram ranks this channel #1 of 83 here — alongside 82 others — read 14 August 2026
@dataanalystinterview · 52,609
Telegram ranks this channel #2 of 85 here — alongside 84 others — read 24 August 2026
@jobs_SQL · 91,421
Telegram ranks this channel #2 of 86 here — alongside 85 others — read 17 August 2026
@sqlproject · 39,680
Telegram ranks this channel #3 of 84 here — alongside 83 others — read 30 August 2026
@InterviewBooks · 40,516
Telegram ranks this channel #3 of 78 here — alongside 77 others — read 30 August 2026
@dsabooks · 59,137
Telegram ranks this channel #3 of 89 here — alongside 88 others — read 22 August 2026
@DataPortfolio · 38,028
Telegram ranks this channel #4 of 83 here — alongside 82 others — read 31 August 2026
@pythondevelopersindia · 63,454
Telegram ranks this channel #4 of 86 here — alongside 85 others — read 21 August 2026
@machinelearning_deeplearning · 55,794
Telegram ranks this channel #5 of 86 here — alongside 85 others — read 23 August 2026
@leadcoding · 35,444
Telegram ranks this channel #6 of 79 here — alongside 78 others — read 2 September 2026
@sql_databases · 70,599
Telegram ranks this channel #7 of 73 here — alongside 72 others — read 20 August 2026
@programming_guide · 56,038
Telegram ranks this channel #8 of 84 here — alongside 83 others — read 23 August 2026
@Programming_experts · 67,682
Telegram ranks this channel #9 of 84 here — alongside 83 others — read 20 August 2026
@Finance_Stock_Trading · 23,207
Telegram ranks this channel #10 of 80 here — alongside 79 others — read 19 September 2026
@shubham_wadekar_jobs · 24,844
Telegram ranks this channel #10 of 93 here — alongside 92 others — read 15 September 2026
@crackingthecodinginterview · 52,232
Telegram ranks this channel #10 of 83 here — alongside 82 others — read 24 August 2026
@Data_Visual · 27,546
Telegram ranks this channel #12 of 83 here — alongside 82 others — read 10 September 2026
@thedataschoool · 42,192
Telegram ranks this channel #13 of 85 here — alongside 84 others — read 29 August 2026
@MachineLearning9 · 41,424
Telegram ranks this channel #16 of 79 here — alongside 78 others — read 30 August 2026
@learngpt · 38,216
Telegram ranks this channel #17 of 79 here — alongside 78 others — read 31 August 2026
@Bitcoin_Crypto_Web · 23,194
Telegram ranks this channel #18 of 77 here — alongside 76 others — read 19 September 2026
This channel appears in 132 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 17 September 2026 — this entry's latest reading, not the date you are reading this.
“SQL Programming Resources” (@sqlanalyst), 76,675 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/sqlanalyst.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.