This error occurs when you attempt ALTER TABLE partition operations (DROP, REORGANIZE, ANALYZE, etc.) on partitions that do not exist. The most common cause is automated partition maintenance scripts that reference partition names which no longer exist or have been misspelled. Fix by verifying partition names with SHOW CREATE TABLE before running ALTER TABLE commands.
MySQL Error 1507 (ER_DROP_PARTITION_NON_EXISTENT with SQLSTATE HY000) is raised when you attempt to perform partition operations on partition names that don't exist in the table. This error commonly occurs with these ALTER TABLE partition operations: - `ALTER TABLE ... DROP PARTITION` - `ALTER TABLE ... REORGANIZE PARTITION` - `ALTER TABLE ... ANALYZE PARTITION` - `ALTER TABLE ... CHECK PARTITION` - `ALTER TABLE ... OPTIMIZE PARTITION` - `ALTER TABLE ... REBUILD PARTITION` - `ALTER TABLE ... REPAIR PARTITION` The error occurs at the DDL (Data Definition Language) statement level because MySQL cannot find one or more partition names you specified in your ALTER TABLE command. This is different from application-level partition errors—it's a structural issue where the partition definition itself is invalid or missing.
First, check what partitions actually exist on your table. Run:
SHOW CREATE TABLE your_table_name\GThis displays the complete table definition including all partition names. Look for the PARTITION BY clause and list all partition names explicitly.
Alternatively, query the information schema:
SELECT PARTITION_NAME, PARTITION_METHOD, PARTITION_EXPRESSION
FROM INFORMATION_SCHEMA.PARTITIONS
WHERE TABLE_SCHEMA = 'your_database'
AND TABLE_NAME = 'your_table_name'
ORDER BY PARTITION_ORDINAL_POSITION;This shows every partition on the table with its method (RANGE, LIST, HASH, etc.).
Important: The partition names are case-sensitive in some contexts, so verify exact spelling and capitalization.
Once you've verified the correct partition names, run your ALTER TABLE command with the right names:
Example - Correct DROP PARTITION:
-- WRONG: partition might not exist
ALTER TABLE sales DROP PARTITION p_2024_old;
-- RIGHT: verify first, then drop
ALTER TABLE sales DROP PARTITION p2024;Example - Correct REORGANIZE PARTITION:
-- Combine old partitions into new ones
ALTER TABLE sales REORGANIZE PARTITION p2022, p2023
INTO (
PARTITION p202201 VALUES LESS THAN (202203),
PARTITION p202204 VALUES LESS THAN (202301)
);Example - Correct OPTIMIZE PARTITION:
-- Optimize specific partitions
ALTER TABLE sales OPTIMIZE PARTITION p2024, p2025;Run the corrected statement and verify success.
Starting in MySQL 8.0.29, you can add the IF EXISTS clause to silently ignore missing partitions:
ALTER TABLE sales DROP PARTITION IF EXISTS p_2024_old;This makes your partition maintenance scripts idempotent—they won't fail if the partition was already dropped by another process or in a previous run.
Check your MySQL version first:
SELECT VERSION();If you're on 8.0.29 or later, this is the preferred solution for automated partition management. If you're on an earlier version, you must implement pre-checks in your application code or shell scripts.
For MySQL versions before 8.0.29, or for extra safety, validate partitions before attempting to drop them. Use a shell script or application wrapper:
Bash script example:
#!/bin/bash
PARTITION_TO_DROP="p_2024_old"
DB="mydb"
TABLE="sales"
# Check if partition exists
EXISTS=$(mysql -N -e "
SELECT COUNT(*) FROM INFORMATION_SCHEMA.PARTITIONS
WHERE TABLE_SCHEMA='$DB'
AND TABLE_NAME='$TABLE'
AND PARTITION_NAME='$PARTITION_TO_DROP'
")
if [ "$EXISTS" -gt 0 ]; then
echo "Partition exists, dropping..."
mysql -e "ALTER TABLE $DB.$TABLE DROP PARTITION $PARTITION_TO_DROP"
if [ $? -eq 0 ]; then
echo "Successfully dropped partition $PARTITION_TO_DROP"
else
echo "ERROR: Failed to drop partition"
exit 1
fi
else
echo "Partition $PARTITION_TO_DROP does not exist, skipping"
fiPython example (for application code):
import pymysql
def drop_partition_if_exists(db_conn, database, table, partition_name):
cursor = db_conn.cursor()
# Check if partition exists
cursor.execute("""
SELECT COUNT(*) FROM INFORMATION_SCHEMA.PARTITIONS
WHERE TABLE_SCHEMA = %s
AND TABLE_NAME = %s
AND PARTITION_NAME = %s
""", (database, table, partition_name))
exists = cursor.fetchone()[0] > 0
if exists:
try:
cursor.execute(f"ALTER TABLE {database}.{table} DROP PARTITION {partition_name}")
db_conn.commit()
print(f"Successfully dropped partition {partition_name}")
except pymysql.Error as e:
print(f"ERROR: {e}")
db_conn.rollback()
raise
else:
print(f"Partition {partition_name} does not exist, skipping")
cursor.close()This wrapper approach prevents ERROR 1507 from crashing your automation.
If your scripts generate partition names dynamically, audit the logic to ensure it matches your actual partition scheme:
Common partition naming mistakes:
-- Wrong: generates p2024_13 but partitions are p202413
SELECT DATE_FORMAT(DATE_SUB(CURDATE(), INTERVAL 1 DAY), 'p%Y_%m');
-- Right: format matches actual partitions
SELECT DATE_FORMAT(DATE_SUB(CURDATE(), INTERVAL 1 DAY), 'p%Y%m');Example fix in a cron job:
#!/bin/bash
# Drop yesterday's partition after archiving data
PARTITION_DATE=$(date -d 'yesterday' +%Y%m%d)
PARTITION_NAME="p_${PARTITION_DATE}"
# Verify this matches the actual partition scheme
echo "Attempting to drop partition: $PARTITION_NAME"
# Query to confirm it exists
mysql -N -e "
SELECT PARTITION_NAME FROM INFORMATION_SCHEMA.PARTITIONS
WHERE TABLE_NAME='sales' AND PARTITION_NAME='$PARTITION_NAME'
"
# Only drop if confirmed to exist
if [ $? -eq 0 ]; then
mysql -e "ALTER TABLE mydb.sales DROP PARTITION $PARTITION_NAME"
fiLog the partition names being generated and verify they match actual partitions before deploying changes to production.
If ERROR 1507 occurs on a replica but not the primary, the partition structures have drifted:
On the primary:
SHOW CREATE TABLE sales\GOn the replica (slave):
SHOW CREATE TABLE sales\GCompare the PARTITION BY clauses. They should be identical.
If they differ:
1. Check replication status:
SHOW SLAVE STATUS\G2. Review the binlog for partition changes:
mysqlbinlog --start-position=<pos> /var/log/mysql/mysql-bin.000001 | grep -A5 "ALTER TABLE.*PARTITION"3. Manually sync partition structure:
Run the same ALTER TABLE on the replica that was run on the primary, or use pt-table-sync from Percona Toolkit.
4. Consider disabling the automation until fixed:
Temporarily stop partition maintenance on the primary until the replica is fully synced.
### Understanding RANGE vs LIST vs HASH Partitioning
Different partition methods have different constraints on valid partition definitions:
RANGE Partitioning: Values must be in ascending order. The last partition typically uses MAXVALUE.
CREATE TABLE sales (
id INT,
year INT
)
PARTITION BY RANGE (year) (
PARTITION p2022 VALUES LESS THAN (2023),
PARTITION p2023 VALUES LESS THAN (2024),
PARTITION p_future VALUES LESS THAN MAXVALUE
);LIST Partitioning: Each value can appear in only one partition. All possible values must be covered (no catch-all like MAXVALUE).
CREATE TABLE customers (
id INT,
country VARCHAR(50)
)
PARTITION BY LIST (country) (
PARTITION americas VALUES IN ('US', 'CA', 'MX'),
PARTITION europe VALUES IN ('UK', 'FR', 'DE'),
PARTITION asia VALUES IN ('JP', 'CN', 'IN')
);HASH/KEY Partitioning: Number of partitions is fixed at creation and harder to modify.
### Partition Operations Reference
| Operation | Syntax | Use Case |
|-----------|--------|----------|
| ADD | ALTER TABLE t ADD PARTITION (PARTITION p VALUES ...) | Add new partition after MAXVALUE |
| DROP | ALTER TABLE t DROP PARTITION p | Remove old partition (data is deleted!) |
| REORGANIZE | ALTER TABLE t REORGANIZE PARTITION p1, p2 INTO (...) | Merge/split partitions |
| TRUNCATE | ALTER TABLE t TRUNCATE PARTITION p | Delete partition data but keep structure |
| ANALYZE | ALTER TABLE t ANALYZE PARTITION p | Update optimizer statistics |
| OPTIMIZE | ALTER TABLE t OPTIMIZE PARTITION p | Defragment partition (REBUILD + ANALYZE) |
| REPAIR | ALTER TABLE t REPAIR PARTITION p | Repair corrupted partition |
IMPORTANT: DROP PARTITION deletes all data in that partition permanently. Always archive data first.
### Partition Maintenance Best Practices
1. Use deterministic naming: p_YYYYMM or p_YYYYMMDD so calculations are predictable
2. Pre-create future partitions: Create the next 3-6 months of partitions in advance
3. Archive before dropping: Always backup/export partition data before dropping
4. Test in staging: Verify partition operations in staging environment first
5. Log all operations: Record every partition change in application logs for audit trail
6. Use transactions where possible: Wrap partition operations in transactions (if supported)
7. Monitor replication lag: Watch replication status before and after partition operations
8. Document partition scheme: Maintain clear documentation of partition strategy and naming
### Error 1507 vs Related Partition Errors
| Error | Meaning | Fix |
|-------|---------|-----|
| 1507 | Partition doesn't exist | Verify name with SHOW CREATE TABLE |
| 1498 | No partition defined for a value | Ensure all values covered in partition scheme |
| 1512 | Operation not valid for this partition type | REORGANIZE/COALESCE only work on RANGE/LIST |
| 1525/1526 | No partition for inserted value | Add partition covering that range/list |
| 1735 | Unknown partition name | Fix typo in partition name |
### Performance Impact
Partition operations can be expensive:
- DROP PARTITION: Quick for large partitions (metadata-only), but data is lost
- REORGANIZE PARTITION: Slow (rewrites all rows in affected partitions)
- ANALYZE PARTITION: Slow (updates optimizer statistics)
- OPTIMIZE PARTITION: Very slow (combines REBUILD + ANALYZE)
Schedule these operations during maintenance windows to avoid locking tables during peak usage.
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