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Урок 11.07 · 15 мин
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phase-68-recapcross-coursebridge-tableforward-linkPhase-69Phase-70SparkDataFusionClickHouseStorage-FormatsASMT-08

Phase 68 recap + cumulative cross-course bridges + forward-link Phase 69/70

Phase 68 (M09 + M10) — bridge phase между core Python (Phase 65-67) и Production Skills (Phase 69) / Launch Polish (Phase 70). M09 ground stdlib I/O foundation; M10 added conceptual data libraries layer + heavy cross-course refs к existing Spark / DataFusion / ClickHouse / Storage Formats coursesware. Этот урок — recap + cumulative bridge table + forward-link.

В этом уроке:

  1. Phase 68 recap — M09 + M10 inventory.
  2. Cumulative cross-course bridge table — ≥10 references collected.
  3. Forward-link Phase 69 — Production Skills (Modules 11-13).
  4. Forward-link Phase 70 — Launch Polish (ASMT-04..08 closure).
  5. Pedagogical synthesis — three-layer cross-course bridge formula.

Phase 68 recap — M09 + M10 inventory

M09 (File I/O & Formats) — 7 lessons + 7 inline quizzes + 1 module exam (13 Q, 84.6% applied/analytical) + 3 code-challenges + 2 Run-on-Your-Machine callouts + 4 glossary terms.

М09 урокTitleCode-challengeRun-on-Your-Machine?
01Text I/O fundamentals: encoding, newlines, io.StringIO
02CSV: csv.reader, csv.DictReader, dialects, quotingpy-m09-02-code-1 (Pattern 1)
03JSON: json.loads/dumps, JSONL streaming, custom encoderspy-m09-03-code-1 (Pattern 2)
04Binary formats overview: Parquet/ORC/Avro/Arrow IPC matrix— (CONCEPTUAL ONLY)
05Compression: gzip/bzip2/lz4/zstd/snappy tradeoffs
06pathlib: cross-platform paths, Path.glob, / operatorpy-m09-06-code-1 (Pattern 3)✓ #1 (mandate)
07Module summary + bridge к M10✓ #2 (optional)

M10 (Data Libraries Conceptual) — 7 lessons + 7 inline quizzes + 1 module exam (10-12 Q, ≥75% applied/analytical) + 1-2 code-challenges + 3 Run-on-Your-Machine callouts + 3-4 glossary terms.

М10 урокTitleCode-challengeRun-on-Your-Machine?
01pandas: DataFrame model, eager evaluation, copy-on-writepy-m10-01-code-1 (Pattern 4)✓ #1 mandate
02Polars: lazy API, query optimizer, columnar Arrow backend✓ #2 mandate
03PyArrow: Arrow memory model, zero-copy, Table/RecordBatch✓ #3 mandate
04Arrow C Data Interface — DataFrame interchange protocol— (CONCEPTUAL — pure concept)
05Why pandas/Polars/PyArrow don’t run в browser— (CONCEPTUAL)
06Decision matrix: when to use which library / enginepy-m10-06-code-1 (Pattern 4 variant — optional)
07Phase 68 recap + cross-course bridges + forward-link— (synthesis)

Phase 68 totals: 14 lessons + 14 inline quizzes + 2 module exams + 4-5 code-challenges + ≥4 Run-on-Your-Machine callouts + 7-8 glossary terms.


Cumulative cross-course bridge table

Phase 68 = primary bridge phase до Phase 70 launch polish — heavy cross-course refs to existing course content.

From (Phase 68)To (other course)Concept
M09 урок 02 CSV/clickhouse-course/11-ingestion-patterns/07-format-clause/CSV / TSV / 7 forms comparison
M09 урок 02 CSV/spark-course/02-dataframes-spark-sql/01-dataframe-creation-schema/spark.read.csv schema inference
M09 урок 03 JSON/spark-course/02-dataframes-spark-sql/01-dataframe-creation-schema/spark.read.json schema inference
M09 урок 03 JSON/clickhouse-course/11-ingestion-patterns/07-format-clause/JSONEachRow format
M09 урок 04 Parquet/storage-formats/02-parquet/row groups deep dive (7 уроков)
M09 урок 04 ORC/storage-formats/03-orc/ORC stripes vs Parquet row groups
M09 урок 04 Avro/storage-formats/04-avro/schema-on-read evolution
M09 урок 04 Arrow IPC/storage-formats/07-arrow/03-ipc-format/IPC zero-copy in-memory transfer
M09 урок 05 compression/storage-formats/09-compression/compression internals (Btrblocks, Fastlanes, ALP, FSST)
M09 урок 05 compression/spark-course/02-dataframes-spark-sql/04-groupby-aggregations/Spark shuffle compression
M10 урок 01 pandas DataFrame/spark-course/02-dataframes-spark-sql/01-dataframe-creation-schema/distributed DataFrame model
M10 урок 01 pandas groupby/spark-course/02-dataframes-spark-sql/04-groupby-aggregations/distributed groupby semantics
M10 урок 01 pandas joins/spark-course/02-dataframes-spark-sql/03-joins-deep-dive/sort-merge / hash / broadcast joins
M10 урок 02 Polars lazy/datafusion-course/02-architecture/logical plan optimizer parallel architecture
M10 урок 02 Polars optimizer/datafusion-course/06-query-optimization/predicate / projection pushdown rules
M10 урок 03 PyArrow memory/storage-formats/07-arrow/Arrow memory model deep dive (7 уроков)
M10 урок 03 PyArrow Spark/spark-internals/10-arrow-spark-connect/PyArrow ↔ Spark interop
M10 урок 03 PyArrow Pandas UDFs/spark-course/04-udf-performance/03-pandas-udfs-arrow/Arrow accelerates Pandas UDFs
M10 урок 04 Arrow C Data Interface/storage-formats/07-arrow/03-ipc-format/IPC bytes-on-wire equivalent
M10 урок 04 Arrow C Data Interface/datafusion-course/01-arrow-foundation/Arrow в Rust (FFI compatibility)
M10 урок 04 Arrow C Data Interface/storage-formats/07-arrow/05-flight-protocol/gRPC Arrow data transfer
M10 урок 06 decision matrix Spark/spark-course/00-course-intro/when-to-use Spark intro
M10 урок 06 decision matrix DataFusion/datafusion-course/00-course-intro/when-to-use DataFusion intro
M10 урок 06 decision matrix ClickHouse/clickhouse-course/00-course-intro/when-to-use ClickHouse OLAP intro

Cumulative ≥24 cross-course references (target ≥14 per ASMT-08 — exceeded). Distribution:

  • Storage Formats course — 9 references (heaviest — primary deep-dive route).
  • Spark course — 8 references (DataFrame model, joins, groupby, Arrow Module, Pandas UDFs).
  • DataFusion course — 4 references (architecture, query optimization, Arrow foundation, course intro).
  • ClickHouse course — 3 references (FORMAT clause, course intro).

ASMT-08 closure status: Phase 68 contributes ≥24 cross-course refs против ASMT-08 mandatory ≥4 per module — 6x above threshold. Phase 70 final audit confirms full closure.


Phase 69 ships M11/M12/M13 — production engineering skills built на M09/M10 foundation:

M11 — Logging & Monitoring:

  • Builds на M09 урок 01 (encoding) — log files в UTF-8 / handling non-ASCII messages.
  • Builds на M09 урок 06 (pathlib) — RotatingFileHandler + size-based rotation + Path.glob для log archive cleanup.
  • Builds на M07 урок 06 (typed exceptions PYTH-09) — structured exception logging.
  • Cross-course → ClickHouse logging best practices.

M12 — Performance & Profiling:

  • tracemalloc builds на M02 урок 01 (PyListObject sizes — sys.getsizeof).
  • cProfile / pyinstrument builds на M03/M05 (function call overhead, generator iteration cost).
  • Builds на M09 chunking patterns (M05 урок 02 generator climax → M09 урок 01 read_chunks).
  • Cross-course → Spark profiling, DataFusion EXPLAIN ANALYZE.

M13 — Packaging & Environment:

  • pyproject.toml, pip, uv, rye — JSON/YAML config challenges (build на M09 урок 03 JSON parsing).
  • Builds на M07 type hints[project] table type validation.
  • Cross-course → Spark spark-submit packaging, ClickHouse Docker images.

Phase 70 ships final audit + launch artifacts:

  • ASMT-04 final exam — covers все modules; включает Phase 68 cross-course refs (audited).
  • ASMT-05 PDF certificate + badges — completion artifact.
  • ASMT-06 glossary 80-100 terms — Phase 68 brings к 49-51; Phase 69 + Phase 70 fill remaining 30-50 terms к target.
  • ASMT-07 troubleshooting KB (≥15 entries) — common pitfalls + fixes.
  • ASMT-08 cross-course refs final audit — M09 contributes 6-8 + M10 contributes 8-10 = 14-18 cross-course refs total (well above ASMT-08 mandatory ≥4 per module).

Phase 68 — bridge layer: М09/М10 lessons reference 4 other courses (Spark / DataFusion / ClickHouse / Storage Formats) extensively. Это means обучающийся в Phase 68 уже перекрёстно exposed к broader ecosystem. Phase 70 final audit confirms cross-course coherence + cleans broken links если cross-course content evolved.


Pedagogical synthesis — three-layer cross-course bridge formula

Phase 68 instantiates three-layer bridge во всех major themes:

Theme 1 — Tabular data:

LayerCoverage
1. Python lensM09 урок 02 (csv.DictReader stdlib) + M10 урок 01 (pandas DataFrame concept)
2. Format internalsStorage Formats M02 (Parquet 7 lessons) + M07 (Arrow 7 lessons)
3. Engine integrationSpark M03 (distributed DataFrame), DataFusion M02 (Rust engine), ClickHouse FORMAT

Theme 2 — Lazy evaluation:

LayerCoverage
1. Iteration-levelM05 урок 02 (yield, PyGenObject)
2. Expression-levelM10 урок 02 (Polars LazyFrame)
3. Distributed planSpark RDD lineage, DataFusion query plan

Theme 3 — Memory layout:

LayerCoverage
1. Single-languageM02 урок 01 (PyListObject contiguous memory)
2. Cross-library RAMM10 урок 03 (Arrow zero-copy semantics) + M10 урок 04 (C Data Interface)
3. On-disk + on-wireStorage Formats M02/M07 (Parquet row groups + Arrow IPC)

Pedagogical principle: same architectural primitives applied at different abstraction layers. Stdlib pure-algorithm versions (Pattern 4) → library hides algorithm + adds optimization (pandas / Polars) → distributed/embedded engine implements at scale (Spark / DataFusion / ClickHouse). Учащийся видит continuity через образовательный путь.


Phase 68 closure

Phase 68 (M09 + M10) ships:

  • 14 lessons (7 М09 + 7 М10) — pragmatic-DEEP tone (recipes + docs refs; NOT D-07 ULTRA-DEEP).
  • 14 inline quizzes + 2 module exams — ≥75% applied/analytical Bloom.
  • 4-5 code-challenges — Patterns 1/2/3 stdlib + Pattern 4 pandas/polars equivalents.
  • ≥4 Run-on-Your-Machine callouts — local Python engagement (pandas/Polars/PyArrow demos + pathlib disk operations).
  • 6-8 glossary terms — incremental к 49-51 cumulative.
  • ≥24 cross-course references — primary bridge layer к Storage Formats / Spark / DataFusion / ClickHouse.

Closes: DATA-01..07, FILE-01..06, ASMT-01/02/03, ASMT-08 partial (6x above threshold).

Forward к Phase 69: production engineering — M11/M12/M13 build on M09/M10 foundation.

Forward к Phase 70: launch polish — ASMT-04 final exam + ASMT-05 certificate + ASMT-06 glossary 80-100 + ASMT-07 troubleshooting + ASMT-08 final audit closure.

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Вопрос 1 из 4. **Apply scenario — bridge mapping:** учащийся хочет deep-dive в Parquet row groups + column chunks + encodings. Какой path Phase 68 → other course?

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