Convert Any List to SQL IN Clause — CSV, Excel, JSON, Newline

-- Assume IDs are in column A (A1:A100)

---- Method 1: TEXTJOIN (Excel 2019+, 365) ----
For numeric IDs (no quotes):
  =TEXTJOIN(", ", TRUE, A1:A100)
  Then manually add: WHERE id IN ( ... );

For string IDs (with single quotes):
  ="WHERE id IN ('" & TEXTJOIN("', '", TRUE, A1:A100) & "')"
  Result: WHERE id IN ('alice@example.com', 'bob@example.com', ...)

---- Method 2: CONCATENATE per row (older Excel) ----
In B1: =IF(A1="", "", "'" & A1 & "',")
Drag down through B100
Then copy column B into a text editor and join

---- Method 3: Power Query (any size, recommended for 1000+ rows) ----
1. Load IDs into Power Query
2. Add Column → Custom Column: = "'" & [ID] & "'"
3. Transform → Merge Column with ", " delimiter
4. Copy the result and wrap in WHERE id IN ( ... );

import csv

# ---- From a CSV file ----
def csv_column_to_sql_in(filepath, column_name, value_type='string', db='mysql'):
    """Convert a CSV column to a SQL IN clause."""
    with open(filepath, newline='') as f:
        reader = csv.DictReader(f)
        values = [row[column_name].strip() for row in reader if row[column_name].strip()]

    # Deduplicate while preserving order
    seen = set()
    unique = [v for v in values if not (v in seen or seen.add(v))]

    if value_type == 'string':
        formatted = ', '.join(f"'{v}'" for v in unique)
    else:
        formatted = ', '.join(unique)

    return f"WHERE {column_name} IN ({formatted});"

# Usage
print(csv_column_to_sql_in('users.csv', 'user_id', value_type='numeric'))

# ---- From a plain list ----
ids = [1001, 1002, 1003, 1004, 1005]
placeholders = ', '.join(str(i) for i in ids)
print(f"WHERE id IN ({placeholders});")

# ---- Parameterized (psycopg2 PostgreSQL style) ----
ids = [1, 2, 3, 4, 5]
params = ', '.join('$' + str(i+1) for i in range(len(ids)))
print("WHERE id IN (" + params + ");")  # WHERE id IN ($1, $2, $3, $4, $5)

# ---- Chunked for Oracle (1000-item limit) ----
def chunked_in(ids, chunk_size=1000, value_type='numeric', column='id'):
    chunks = [ids[i:i+chunk_size] for i in range(0, len(ids), chunk_size)]
    conditions = []
    for chunk in chunks:
        if value_type == 'string':
            vals = ', '.join(f"'{v}'" for v in chunk)
        else:
            vals = ', '.join(str(v) for v in chunk)
        conditions.append(f"{column} IN ({vals})")
    return 'WHERE ' + '
   OR '.join(conditions) + ';'

ids = list(range(1, 2501))  # 2500 IDs
print(chunked_in(ids, chunk_size=1000))

// ---- Basic: array of numbers to SQL IN ----
const ids = [1001, 1002, 1003, 1004, 1005];
const sqlIn = `WHERE id IN (${ids.join(', ')})`;
console.log(sqlIn);
// WHERE id IN (1001, 1002, 1003, 1004, 1005)

// ---- String values with single quotes ----
const emails = ['alice@example.com', 'bob@example.com', 'carol@example.com'];
const sqlInStr = `WHERE email IN ('${emails.join("', '")}')`;
console.log(sqlInStr);
// WHERE email IN ('alice@example.com', 'bob@example.com', 'carol@example.com')

// ---- Deduplicate first ----
const rawIds = [1, 2, 2, 3, 3, 4];
const uniqueIds = [...new Set(rawIds)];
const sqlInDeduped = `WHERE id IN (${uniqueIds.join(', ')})`;

// ---- Parameterized for PostgreSQL ----
const ids2 = [1, 2, 3, 4, 5];
const placeholders = ids2.map((_, i) => `$${i + 1}`).join(', ');
const query = `SELECT * FROM users WHERE id IN (${placeholders})`;
// query = "SELECT * FROM users WHERE id IN ($1, $2, $3, $4, $5)"
// Execute: pool.query(query, ids2)

// ---- Chunked for Oracle (1000 limit) ----
function chunkArray(arr, size) {
  return Array.from({ length: Math.ceil(arr.length / size) }, (_, i) =>
    arr.slice(i * size, i * size + size)
  );
}
const bigIds = Array.from({ length: 2500 }, (_, i) => i + 1);
const chunks = chunkArray(bigIds, 1000);
const oracleWhere = chunks
  .map(chunk => `id IN (${chunk.join(', ')})`)
  .join('\n  OR ');
console.log(`WHERE ${oracleWhere}`);

# ---- From a newline-separated text file (numeric IDs) ----
paste -sd ',' ids.txt | sed "s/^/WHERE id IN (/; s/$/)/"
# WHERE id IN (1001,1002,1003)

# ---- From a newline-separated file (string values with quotes) ----
awk '{printf "%s'%s'", NR==1?"":",",$0} END{print ""}' ids.txt |   sed "s/^/WHERE email IN (/; s/$/)/"

# ---- From a CSV column (column 3) ----
cut -d',' -f3 data.csv | tail -n +2 | paste -sd ',' |   sed "s/^/WHERE user_id IN (/; s/$/)/"

# ---- From a JSON array using jq ----
echo '[1001,1002,1003,1004]' | jq -r 'map(tostring) | join(",")'
# 1001,1002,1003,1004
echo '[1001,1002,1003]' | jq '"WHERE id IN (" + (map(tostring)|join(",")) + ")"'
# "WHERE id IN (1001,1002,1003)"

# ---- From a JSON array of strings ----
echo '["alice@example.com","bob@example.com"]' |   jq '"WHERE email IN (" + (map("'''" + . + "'''") | join(",")) + ")"'