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Connect to ClickHouse from Python with clickhouse-connect and run queries, DDL commands, and inserts, including against ClickHouse Cloud.

Run parameterized ClickHouse queries with {name:Type} placeholders via clickhouse-client --param_ or the HTTP interface's param_ query/form parameters to avoid SQL injection from untrusted input.

Run SQL queries against ClickHouse over its HTTP interface using curl, with proper authentication and correct GET (read-only) vs POST semantics.

Export ClickHouse query results to CSV or Parquet files with the FORMAT clause and INTO OUTFILE, then read the exported files back.

Create SQL-driven ClickHouse users, assign privileges directly or via roles using CREATE USER / CREATE ROLE / GRANT, after enabling access_management on self-managed deployments.

Query local and remote files (CSV, TSV, Parquet, JSON, etc.) with SQL using clickhouse-local, without running a ClickHouse server, relying on schema inference or explicit format hints.

Automatically expire old data in ClickHouse MergeTree tables using column-level and table-level TTL clauses, including how to force materialization.

Deduplicate rows in a ClickHouse table using ReplacingMergeTree, understanding that dedup happens only on merge (not immediately) and FINAL forces correctness at query time.

Create, list, and start/stop a ClickHouse Cloud service programmatically via the ClickHouse Cloud REST API.

Query and ingest data directly from S3 (or GCS) into/from ClickHouse using the s3 table function, including credentials, glob patterns, and schema inference.

Use ClickHouse asynchronous inserts (async_insert) to let the server batch many small/high-frequency inserts instead of batching client-side.

Insert rows into ClickHouse in JSONEachRow format via curl over the HTTP interface or via clickhouse-client on the command line.

Profile a slow ClickHouse query using system.query_log, trace_log, and EXPLAIN

Ingest Kafka topics into ClickHouse using the Kafka table engine and materialized views

Build a ClickHouse Materialized View to pre-aggregate event counts in real time

ClickHouse HTTP interface batch insert