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Added PG->DuckDB query language translation layer
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# PostgreSQL to DuckDB JSON Query Translator
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## Overview
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This translator converts PostgreSQL JSON queries to DuckDB-compatible syntax, specifically handling differences in JSON operators, type casts, timestamp functions, and date operations.
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## Files
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- **[pg_to_duckdb_translator.hpp](pg_to_duckdb_translator.hpp)** - Header file with class declaration
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- **[pg_to_duckdb_translator.cpp](pg_to_duckdb_translator.cpp)** - Implementation
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- **[pg_to_duckdb_translator_test.cpp](pg_to_duckdb_translator_test.cpp)** - Test cases
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## Translation Rules
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### 1. JSON Operators
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- PostgreSQL: `json -> 'key'` or `json ->> 'key'`
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- DuckDB: `json->>'$.key'`
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- Chained: `json -> 'a' -> 'b' ->> 'c'``json->>'$.a.b.c'`
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### 2. Type Casts
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- PostgreSQL: `(expr)::TYPE` or `identifier::TYPE`
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- DuckDB: `CAST(expr AS TYPE)`
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### 3. Timestamp Conversions
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- PostgreSQL: `TIMESTAMP WITH TIME ZONE 'epoch' + INTERVAL '1 microsecond' * (json->>'time_us')::BIGINT`
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- DuckDB: `TO_TIMESTAMP(CAST(json->>'$.time_us' AS BIGINT) / 1000000)`
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### 4. Date Extraction
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- PostgreSQL: `EXTRACT(HOUR FROM expr)`
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- DuckDB: `hour(expr)`
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- Supported fields: HOUR, DAY, MONTH, YEAR, MINUTE, SECOND, DOW, DOY, WEEK
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### 5. Date Differences
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- PostgreSQL: `EXTRACT(EPOCH FROM (MAX(ts) - MIN(ts))) * 1000`
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- DuckDB: `date_diff('milliseconds', MIN(ts), MAX(ts))`
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- Multipliers: 1=seconds, 1000=milliseconds, 1000000=microseconds
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### 6. IN Clauses
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- PostgreSQL: `expr IN ('a', 'b', 'c')`
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- DuckDB: `expr in ['a', 'b', 'c']`
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### 7. WHERE Clause Predicates
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- PostgreSQL: `WHERE a = 1 AND b = 2`
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- DuckDB: `WHERE (a = 1) AND (b = 2)`
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- Each predicate separated by AND/OR is wrapped in parentheses
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## Usage
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```cpp
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#include "pg_to_duckdb_translator.hpp"
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std::string pg_query = "SELECT json -> 'commit' ->> 'collection' FROM table";
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std::string duckdb_query = pg::pg_to_duckdb_translator::translate(pg_query);
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```
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## Integration
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### Option 1: Integrate into DuckDB Executor
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Add the translator to your existing query execution path:
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```cpp
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// In duckdb_executor.cpp
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#include "pg_to_duckdb_translator.hpp"
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std::unique_ptr<duckdb::MaterializedQueryResult>
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execute_query(duckdb::Connection& conn, const std::string& pg_query) {
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// Translate PostgreSQL syntax to DuckDB syntax
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std::string duckdb_query = pg::pg_to_duckdb_translator::translate(pg_query);
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// Optional: Log the translation for debugging
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// elog(DEBUG1, "Original query: %s", pg_query.c_str());
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// elog(DEBUG1, "Translated query: %s", duckdb_query.c_str());
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// Execute the translated query
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auto result = conn.Query(duckdb_query);
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if (result->HasError()) {
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elog(ERROR, "DuckDB query failed: %s", result->GetError().c_str());
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}
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return result;
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}
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```
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### Option 2: Add as a PostgreSQL Hook
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Create a query rewrite hook:
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```cpp
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// In your extension initialization
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static ProcessUtility_hook_type prev_ProcessUtility = NULL;
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static void deeplake_ProcessUtility(
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PlannedStmt *pstmt,
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const char *queryString,
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ProcessUtilityContext context,
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ParamListInfo params,
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QueryEnvironment *queryEnv,
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DestReceiver *dest,
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QueryCompletion *qc)
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{
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// Check if this is a SELECT query targeting your tables
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if (is_deeplake_query(queryString)) {
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// Translate the query
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std::string translated = pg::pg_to_duckdb_translator::translate(queryString);
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// Execute via DuckDB
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execute_via_duckdb(translated);
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return;
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}
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// Fall through to standard processing
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if (prev_ProcessUtility)
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prev_ProcessUtility(pstmt, queryString, context, params, queryEnv, dest, qc);
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else
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standard_ProcessUtility(pstmt, queryString, context, params, queryEnv, dest, qc);
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}
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void _PG_init(void) {
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// Install the hook
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prev_ProcessUtility = ProcessUtility_hook;
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ProcessUtility_hook = deeplake_ProcessUtility;
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}
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```
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### Option 3: Automatic Translation Flag
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Add an environment variable or GUC to enable automatic translation:
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```cpp
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// In extension_init.cpp or pg_deeplake.cpp
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static bool enable_pg_to_duckdb_translation = true;
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void _PG_init(void) {
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// Define GUC variable
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DefineCustomBoolVariable(
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"deeplake.enable_query_translation",
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"Enable automatic PostgreSQL to DuckDB query translation",
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NULL,
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&enable_pg_to_duckdb_translation,
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true,
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PGC_USERSET,
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0,
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NULL, NULL, NULL
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);
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}
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// Then in your query execution:
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std::string prepare_query(const std::string& query) {
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if (enable_pg_to_duckdb_translation) {
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return pg::pg_to_duckdb_translator::translate(query);
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}
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return query;
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}
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```
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## Example Queries
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### Simple WHERE Clauses
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**PostgreSQL:**
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```sql
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SELECT COUNT(*) FROM bluesky
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WHERE json ->> 'kind' = 'commit'
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AND json -> 'commit' ->> 'operation' = 'create';
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```
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**DuckDB:**
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```sql
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SELECT COUNT(*) FROM bluesky
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WHERE json->>'$.kind' = 'commit'
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AND json->>'$.commit.operation' = 'create';
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```
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### Type Casting in WHERE
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**PostgreSQL:**
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```sql
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SELECT id, json ->> 'repo' as repo
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FROM bluesky
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WHERE (json ->> 'seq')::BIGINT > 1000000;
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```
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**DuckDB:**
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```sql
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SELECT id, json->>'$.repo' as repo
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FROM bluesky
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WHERE CAST(json->>'$.seq' AS BIGINT) > 1000000;
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```
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### IN Clauses
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**PostgreSQL:**
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```sql
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SELECT COUNT(*) FROM bluesky
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WHERE json ->> 'kind' = 'commit'
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AND json -> 'commit' ->> 'collection' IN ('app.bsky.feed.post', 'app.bsky.feed.like');
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```
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**DuckDB:**
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```sql
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SELECT COUNT(*) FROM bluesky
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WHERE json->>'$.kind' = 'commit'
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AND json->>'$.commit.collection' in ['app.bsky.feed.post', 'app.bsky.feed.like'];
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```
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### Complex Aggregation with Timestamps
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**PostgreSQL:**
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```sql
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SELECT json->>'did' AS user_id,
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MIN(TIMESTAMP WITH TIME ZONE 'epoch' +
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INTERVAL '1 microsecond' * (json->>'time_us')::BIGINT) AS first_post_ts
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FROM bluesky
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WHERE json->>'kind' = 'commit'
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GROUP BY user_id
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LIMIT 3;
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```
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**DuckDB:**
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```sql
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SELECT json->>'$.did' AS user_id,
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MIN(TO_TIMESTAMP(CAST(json->>'$.time_us' AS BIGINT) / 1000000) ) AS first_post_ts
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FROM bluesky
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WHERE json->>'$.kind' = 'commit'
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GROUP BY user_id
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LIMIT 3;
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```
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## Testing
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Run the standalone test:
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```bash
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cd cpp/deeplake_pg
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chmod +x test_translator.sh
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./test_translator.sh
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```
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All 10 test cases should pass:
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- ✓ Test 1: Simple JSON access with GROUP BY
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- ✓ Test 2: Multiple JSON access with WHERE
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- ✓ Test 3: EXTRACT HOUR with IN clause
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- ✓ Test 4: MIN with TIMESTAMP epoch conversion
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- ✓ Test 5: Date difference with EXTRACT EPOCH
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- ✓ Test 6: Simple WHERE with COUNT
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- ✓ Test 7: WHERE with nested JSON and string comparison
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- ✓ Test 8: WHERE with type cast
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- ✓ Test 9: WHERE with IN clause and multiple JSON operators
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- ✓ Test 10: Subquery with WHERE clause (regression test)
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## Build Integration
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The translator is automatically included in the PostgreSQL extension build via CMake's glob pattern in [CMakeLists.pg.cmake](../../CMakeLists.pg.cmake):
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```cmake
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file(GLOB_RECURSE PG_SOURCES "${CMAKE_CURRENT_SOURCE_DIR}/${PG_MODULE}/*.cpp" ...)
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```
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No additional build configuration is needed - just rebuild the extension:
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```bash
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python3 scripts/build_pg_ext.py dev
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```
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## Debugging
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If queries fail after translation, enable logging:
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```cpp
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#include "pg_to_duckdb_translator.hpp"
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std::string query = "...";
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std::string translated = pg::pg_to_duckdb_translator::translate(query);
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elog(INFO, "Original PostgreSQL query:");
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elog(INFO, "%s", query.c_str());
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elog(INFO, "Translated DuckDB query:");
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elog(INFO, "%s", translated.c_str());
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```
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## Performance Considerations
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- **Translation overhead:** ~0.1-1ms per query (depends on query complexity)
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- **Caching:** For queries executed multiple times, consider caching translations
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- **Execution impact:** No impact on query execution time (translation happens once before execution)
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- **Implementation:** Uses regex-based pattern matching with manual parenthesis balancing for complex expressions
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- **Memory:** Minimal allocation - mostly string operations
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## Rollback Plan
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If you encounter issues:
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1. Set `deeplake.enable_query_translation = false` in postgresql.conf
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2. Or remove the translation call from your code temporarily
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3. Queries will be passed to DuckDB unchanged (may require manual DuckDB syntax)
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## Limitations
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- Does not handle all PostgreSQL syntax - focused on common JSON query patterns
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- Nested CAST expressions beyond 2 levels may need testing
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- Comments in SQL queries are not preserved
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- Multi-statement queries are translated as a whole (no statement separation)
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## Future Enhancements
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Possible improvements:
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1. Add support for more PostgreSQL-specific functions
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2. Handle JSON array indexing: `json->'array'->0`
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3. Support JSONB operators
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4. Add query validation/linting
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5. Performance profiling and optimization

cpp/deeplake_pg/duckdb_executor.cpp

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#include "duckdb_deeplake_scan.hpp"
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#include "duckdb_executor.hpp"
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#include "pg_deeplake.hpp"
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#include "pg_to_duckdb_translator.hpp"
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#include "reporter.hpp"
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#include "table_data.hpp"
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#include "table_storage.hpp"
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pg::table_storage::instance().set_up_to_date(true);
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}
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std::string duckdb_query = pg_to_duckdb_translator::translate(query_string);
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if (pg::explain_query_before_execute) {
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explain_query(conns.get(), query_string);
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explain_query(conns.get(), duckdb_query);
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}
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// IMPORTANT LIMITATION: Table functions (deeplake_scan) require C++ API
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// We minimize C++ API usage to only what's required and structure code
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// to be ready for C API when table functions are supported via C API
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elog(DEBUG1, "Executing DuckDB query: %s", query_string.c_str());
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elog(DEBUG1, "Executing DuckDB query: %s", duckdb_query.c_str());
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pg::runtime_printer printer("DuckDB query execution");
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duckdb_result_holder holder;
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// Execute query via C++ API (required because queries use table functions)
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auto result_cpp = conns->con_cpp->SendQuery(query_string);
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auto result_cpp = conns->con_cpp->SendQuery(duckdb_query);
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if (!result_cpp) {
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ereport(ERROR, (errcode(ERRCODE_INTERNAL_ERROR), errmsg("Query execution returned null result")));
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}

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