Limitations, Quirks, and Tradeoffs

CipherStash provides transparent encryption and decryption of sensitive data in SQL databases. It works by intercepting SQL queries and encrypting or decrypting the sensitive data on the fly. This reference document outlines the limitations, quirks, and tradeoffs of using CipherStash.

On this page

• Limitations
  • Unsupported Features
    • Setting encrypted columns to arbitrary expressions in an UPDATE
    • JOIN on encrypted columns
    • JOIN on encrypted columns with USING or NATURAL
    • INSERT from other tables
    • Partitioning by encrypted columns
    • Subqueries
    • Temporary tables
    • Window functions
  • SQL features that differ from the upstream PostgreSQL client
    • Bulk UPDATE
    • Schema-level default values for encrypted columns
    • Aggregate functions
    • INSERT with ON CONFLICT
• Quirks
• Tradeoffs

Limitations

Unsupported Features

When using the CipherStash driver for PostgreSQL, some SQL features are not supported on columns encrypted by CipherStash.

However, those SQL features will continue to work on plaintext columns that are not encrypted by CipherStash.

When an unsupported feature is used, the CipherStash driver will return an error.

Setting encrypted columns to arbitrary expressions in an UPDATE

-- Not supported:
UPDATE ...
SET some_encrypted_col = some_encrypted_col + 1;

JOIN on encrypted columns

It is generally not possible to JOIN on encrypted columns that may contain the same plaintext:

-- Not supported:
SELECT t.id,
       t.amount,
       p.name
FROM transactions t
JOIN payee p ON t.payee_email = p.email
ORDER BY t.name;

SQL statements using JOIN on plaintext columns will run successfully.

JOIN on encrypted columns with USING or NATURAL

Any JOIN using USING or NATURAL will error, regardless of whether the JOIN is on an encrypted or plaintext column.

-- Not supported:
SELECT *
FROM toy
NATURAL JOIN cat;

-- Not supported:
SELECT post_id,
       title,
       review
FROM post
INNER JOIN post_comment USING(post_id);

INSERT from other tables

-- Not supported:
INSERT INTO some_configured_table
SELECT *
FROM other_table;

Partitioning by encrypted columns

Partitioning splits what is logically one large table into smaller physical pieces.

Partitioning on encrypted columns is not supported:

-- Not supported:
CREATE TABLE measurement (
    city_id         int not null,
    logdate         date not null,
    peaktemp        int,
    unitsales       int
) PARTITION BY RANGE (logdate);

CREATE TABLE measurement_y2006m02 PARTITION OF measurement
    FOR VALUES FROM ('2006-02-01') TO ('2006-03-01');

CREATE TABLE measurement_y2006m03 PARTITION OF measurement
    FOR VALUES FROM ('2006-03-01') TO ('2006-04-01');

Partitioning on plaintext columns is supported.

Subqueries

-- Not supported:
SELECT id,
       first_name,
       last_name
FROM employees
WHERE department_id IN
    (SELECT department_id
     FROM departments
     WHERE location_ID = 1700);

Temporary tables

-- Not supported:
CREATE
TEMPORARY TABLE table_t (column1 INT);

Window functions

-- Not supported:
SELECT product_name,
       price,
       group_name,
       AVG (price) OVER (PARTITION BY group_name)
FROM products
INNER JOIN product_groups USING (group_id);

SQL features that differ from the upstream PostgreSQL client

These SQL features are either partially supported, or supported with workarounds.

Bulk UPDATE

UPDATE statements with multiple modified rows are partially supported.

Bulk updates with literal values are supported:

-- Supported:
UPDATE accounts
SET balance = 100
WHERE id IN (1,
             2,
             3);

UPDATE statements using values lists are not supported:

-- Not supported:
UPDATE table
SET update_column = temp.value
FROM (
    VALUES ('foo', 'bar'), ('baz', 'qux'), ('et', 'cetera')
) temp (id, value)
WHERE key_column = temp.id;

UPDATE statements (bulk or single record) that set columns to arbitrary expressions are not supported:

-- Not supported:
UPDATE account SET balance = balance + 1 WHERE id = 123.

UPDATE statements directly from other tables are not supported:

-- Not supported:
UPDATE accounts
SET contact_first_name = first_name,
    contact_last_name = last_name
FROM employees
WHERE employees.id = accounts.sales_person;

Schema-level default values for encrypted columns

-- Not supported:
CREATE TABLE products (
    product_no integer,
    name text,
    price numeric DEFAULT 9.99
);

This can be worked around with application-level defaults (for example, in your ORM).

This will be supported in future releases.

Aggregate functions

Only COUNT() is supported:

-- Supported:
SELECT COUNT(id)
FROM users
WHERE date_of_birth > '1984-01-01';

Other aggregate functions are not supported:

-- Not supported:
SELECT department_id,
       SUM(salary)
FROM employees
GROUP BY department_id;

INSERT with ON CONFLICT

Columns managed by CipherStash cannot be used in ON CONFLICT clauses:

-- Not supported:
INSERT INTO table_a (cs_column1, cs_column2)
VALUES (value1, value2),
       (value3, value4),
       (value5, value6) ON CONFLICT cs_column1 DO NOTHING;

-- Not supported:
INSERT INTO table_a (cs_column1, cs_column2)
VALUES (value1, value2),
       (value3, value4),
       (value5, value6) ON CONFLICT cs_column1 DO UPDATE;

Columns not managed by CipherStash can be used in ON CONFLICT clauses:

-- Supported:
INSERT INTO table_a (not_cs_column1, not_cs_column2)
VALUES (value1, value2),
       (value3, value4),
       (value5, value6) ON CONFLICT not_cs_column1 DO NOTHING;

-- Supported:
INSERT INTO table_a (not_cs_column1, not_cs_column2)
VALUES (value1, value2),
       (value3, value4),
       (value5, value6) ON CONFLICT not_cs_column1 DO UPDATE;

Quirks

CipherStash has the following quirks:

• Match queries against text fields can have false positives. CipherStash uses bloom filters to perform queries against some indexed columns. However, bloom filters can have false positives, which means that a query result may contain records that do not actually match the query. This problem is not unique to CipherStash and is a known tradeoff of using bloom filters. To minimize false positives, index tuning is required.
• LIKE and ILIKE queries require minor modification. For LIKE and ILIKE queries to continue to work in encrypted-duplicate and encrypted modes, letter case functions need to be removed:

  -- Before:
  SELECT name FROM user WHERE lower(name) LIKE "%Alice%";
  
  -- After:
  SELECT name FROM user WHERE name LIKE "%Alice%";
  

• NULLs are not yet represented in an encrypted form. Because NULLs don’t yet have an encrypted representation, the driver cannot detect if a NULL in an encrypted source column (__x_encrypted for example) reflects the actual plaintext source value. This can lead to data loss during migrations. CipherStash intends to ship support for encrypted NULLs in Q2 2023.

Tradeoffs

CipherStash makes the following tradeoffs:

• The same ciphertext may appear in multiple rows during bulk operations. When transforming various queries (such as UPDATE) that do bulk operations, multiple rows can be set with the same encrypted value. This can make it easier for attackers to perform certain types of inference attacks. Ideally, the same plaintext value in multiple rows and fields should have a unique ciphertext. CipherStash intends to ship a release that fixes this by Q3 2023.
• Encrypted left ciphertext. CipherStash stores the encrypted left ciphertext (as defined in the Order Revealing Encryption paper), which can make it easier for attackers to use inference attacks to determine the plaintext. This is a tradeoff that is made to provide better performance and usability.

CipherStash is the easiest and safest way to protect structured sensitive data in your organisation. By understanding its limitations, quirks, and tradeoffs, users can make informed choices about whether CipherStash is the right solution for their applications.