JingsongLi commented on code in PR #66:
URL: https://github.com/apache/paimon-mosaic/pull/66#discussion_r3489084740
##########
core/src/reader.rs:
##########
@@ -447,6 +535,226 @@ impl<I: InputFile> MosaicReader<I> {
&self.input
}
+ /// Footer compression code (`spec::COMPRESSION_*`).
+ pub fn compression(&self) -> u8 {
+ self.compression
+ }
+
+ /// Per-bucket layout for a row group: kind, on-disk size and member
columns
+ /// (global indices). The bucket is Mosaic's defining structure — exposed
for
+ /// the `buckets` command.
+ pub fn bucket_infos(&self, rg_index: usize) -> io::Result<Vec<BucketInfo>>
{
+ if rg_index >= self.row_group_metas.len() {
+ return Err(io::Error::new(
+ io::ErrorKind::InvalidInput,
+ "row group index out of range",
+ ));
+ }
+ let meta = &self.row_group_metas[rg_index];
+ Ok((0..self.num_buckets)
+ .map(|b| {
+ let (kind, size, uncompressed) = match meta.bucket_layouts[b] {
+ BucketLayout::Empty => (BucketKind::Empty, 0, 0),
+ BucketLayout::Monolithic {
+ compressed_size,
+ uncompressed_size,
+ } => (BucketKind::Monolithic, compressed_size,
uncompressed_size),
+ BucketLayout::Paged { total_size } => (BucketKind::Paged,
total_size, 0),
+ };
+ BucketInfo {
+ bucket: b,
+ kind,
+ size,
+ uncompressed,
+ columns: self.schema.bucket_to_global[b].clone(),
+ }
+ })
+ .collect())
+ }
+
+ /// Dictionary entries for one column in one row group, or `None` if that
+ /// column is not dict-encoded there. Used by the `dictionary` command.
+ pub fn dictionary(&self, rg_index: usize, col: usize) ->
io::Result<Option<Vec<Value>>> {
+ let rg = self.row_group_reader_projected(rg_index, &[col])?;
+ Ok(rg.take_dictionary(col))
+ }
+
+ /// Per-column physical layout for a row group: bucket, encoding and
on-disk
+ /// slot size. Reads and decompresses each non-empty bucket; used by
tooling
+ /// (the `pages` command). Columns are reported in global (name-sorted)
order.
+ pub fn page_infos(&self, rg_index: usize) -> io::Result<Vec<PageInfo>> {
+ if rg_index >= self.row_group_metas.len() {
+ return Err(io::Error::new(
+ io::ErrorKind::InvalidInput,
+ "row group index out of range",
+ ));
+ }
+ let meta = &self.row_group_metas[rg_index];
+ let mut out = Vec::with_capacity(self.schema.columns.len());
+ for b in 0..self.num_buckets {
+ let globals = &self.schema.bucket_to_global[b];
+ match meta.bucket_layouts[b] {
+ BucketLayout::Empty => {
+ for &gi in globals {
+ out.push(PageInfo {
+ column_index: gi,
+ bucket: b,
+ encoding: Encoding::AllNull,
+ slot_size: 0,
+ });
+ }
+ }
+ BucketLayout::Monolithic {
+ compressed_size,
+ uncompressed_size,
+ } => {
+ let buf = read_range(&self.input, meta.bucket_offsets[b],
compressed_size)?;
+ let data = match self.compression {
+ COMPRESSION_NONE => buf,
+ COMPRESSION_ZSTD => decompress_zstd(&buf,
uncompressed_size)?,
+ _ => {
+ return Err(io::Error::new(
+ io::ErrorKind::InvalidData,
+ "unsupported compression",
+ ))
+ }
+ };
+ let col_types: Vec<DataType> = globals
+ .iter()
+ .map(|&gi| self.schema.columns[gi].data_type.clone())
+ .collect();
+ let reader = BucketReader::new(col_types, data,
meta.num_rows)?;
+ for (local, &gi) in globals.iter().enumerate() {
+ out.push(PageInfo {
+ column_index: gi,
+ bucket: b,
+ encoding:
Encoding::from_code(reader.encodings()[local]),
+ slot_size: 0,
+ });
+ }
+ }
+ BucketLayout::Paged { total_size } => {
+ // Physical layout: optional child header + one slot per
+ // physical column (primaries first, then ARRAY children).
+ let (dir_size, sizes, _) =
+ self.paged_dir(b, meta.bucket_offsets[b], total_size)?;
+ let mut foff = meta.bucket_offsets[b] + dir_size as u64;
+ for (local, &gi) in globals.iter().enumerate() {
+ let enc = if sizes[local] == 0 {
+ ENCODING_ALL_NULL
+ } else {
+ let slot = read_range(&self.input, foff,
sizes[local])?;
+ let ct = self.schema.columns[gi].data_type.clone();
+ Self::parse_column_slot(&slot, &ct,
meta.num_rows)?.encoding()
+ };
+ out.push(PageInfo {
+ column_index: gi,
+ bucket: b,
+ encoding: Encoding::from_code(enc),
+ slot_size: sizes[local],
Review Comment:
For paged buckets with ARRAY/LIST columns, `sizes[local]` is only the
primary physical slot; child slots returned by `paged_dir()` are ignored here.
`slot_sizes()` already attributes child bytes to the logical parent, so `pages`
and `column-size` can disagree for nested columns. Please sum child slot sizes
into the parent `PageInfo.slot_size` and add an assertion in the existing
paged-array test.
##########
cli/src/fmt.rs:
##########
@@ -0,0 +1,327 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor license agreements. See the NOTICE file
+// distributed with this work for additional information
+// regarding copyright ownership. The ASF licenses this file
+// to you under the Apache License, Version 2.0 (the
+// "License"); you may not use this file except in compliance
+// with the License. You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing,
+// software distributed under the License is distributed on an
+// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+// KIND, either express or implied. See the License for the
+// specific language governing permissions and limitations
+// under the License.
+
+use arrow::array::{Array, RecordBatch};
+use paimon_mosaic_core::values::Value;
+
+/// Render a stats min/max [`Value`] to a short, human-readable string.
+pub fn render_value(v: &Value) -> String {
+ match v {
+ Value::Null => "null".to_string(),
+ Value::Boolean(b) => b.to_string(),
+ Value::TinyInt(x) => x.to_string(),
+ Value::SmallInt(x) => x.to_string(),
+ Value::Integer(x) => x.to_string(),
+ Value::BigInt(x) => x.to_string(),
+ Value::Float(x) => x.to_string(),
+ Value::Double(x) => x.to_string(),
+ Value::Date(x) => format!("{} (epoch-day)", x),
+ Value::Time(x) => format!("{} (ms)", x),
+ Value::String(b) => safe(&String::from_utf8_lossy(b)),
+ Value::Bytes(b) | Value::DecimalLarge(b) => format!("0x{}", hex(b)),
+ Value::DecimalCompact(x) => x.to_string(),
+ Value::TimestampMillis(x) => format!("{} (ms)", x),
+ Value::TimestampMicros(x) => format!("{} (us)", x),
+ Value::TimestampNanos {
+ millis,
+ nanos_of_milli,
+ } => {
+ format!("{}ms+{}ns", millis, nanos_of_milli)
+ }
+ }
+}
+
+/// Render a stats min/max [`Value`] for JSON: same as [`render_value`] but
+/// without the human-only unit suffixes (`(epoch-day)`, `(ms)`, `ms+ns`), so
+/// the value stays machine-parseable. Bytes/decimal keep hex; nanos collapse
to
+/// a single nanosecond count.
+pub fn render_json(v: &Value) -> String {
+ match v {
+ Value::Date(x) | Value::Time(x) => x.to_string(),
+ Value::TimestampMillis(x) | Value::TimestampMicros(x) => x.to_string(),
+ Value::TimestampNanos {
+ millis,
+ nanos_of_milli,
+ } => (*millis as i128 * 1_000_000 + *nanos_of_milli as
i128).to_string(),
+ _ => render_value(v),
Review Comment:
This fallback routes string values through `render_value()`, which calls
`safe()` and replaces control characters. JSON output should be lossless and
machine-readable, leaving escaping to serde/Arrow; terminal sanitization should
stay in text output only. Please keep raw strings for JSON, and apply the same
principle to JSON column names such as `buckets --json`.
##########
cli/src/main.rs:
##########
@@ -0,0 +1,789 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor license agreements. See the NOTICE file
+// distributed with this work for additional information
+// regarding copyright ownership. The ASF licenses this file
+// to you under the Apache License, Version 2.0 (the
+// "License"); you may not use this file except in compliance
+// with the License. You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing,
+// software distributed under the License is distributed on an
+// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+// KIND, either express or implied. See the License for the
+// specific language governing permissions and limitations
+// under the License.
+
+mod filter;
+mod fmt;
+mod input;
+mod jsonout;
+
+use std::path::{Path, PathBuf};
+use std::process::ExitCode;
+
+use arrow::array::RecordBatch;
+use clap::{Parser, Subcommand};
+use paimon_mosaic_core::reader::{MosaicReader, ReaderAccess};
+
+use crate::input::FileInput;
+
+/// Mosaic file inspector — the cat/meta/schema/pages toolkit (cf.
parquet-cli).
+#[derive(Parser)]
+#[command(name = "mosaic", version, about)]
+struct Cli {
+ #[command(subcommand)]
+ cmd: Cmd,
+}
+
+#[derive(Subcommand)]
+enum Cmd {
+ /// Print the column names, types, nullability and bucket assignment.
+ Schema {
+ file: PathBuf,
+ #[arg(long)]
+ json: bool,
+ },
+ /// Print row-group / bucket / stats metadata.
+ Meta {
+ file: PathBuf,
+ #[arg(long)]
+ json: bool,
+ },
+ /// Print per-column encoding and slot size for each row group.
+ Pages {
+ file: PathBuf,
+ /// Comma-separated columns to show (default: all).
+ #[arg(short, long)]
+ columns: Option<String>,
+ #[arg(long)]
+ json: bool,
+ },
+ /// Print all rows as a table (use -n to limit).
+ Cat {
+ file: PathBuf,
+ /// Limit to N rows (default: all).
+ #[arg(short = 'n', long)]
+ num: Option<usize>,
+ /// Comma-separated columns to project.
+ #[arg(short, long)]
+ columns: Option<String>,
+ /// Row filter, e.g. `id>100` or `kind=a` (one condition).
+ #[arg(long)]
+ r#where: Option<String>,
+ #[arg(long)]
+ json: bool,
+ },
+ /// Print the first N rows (default 10).
+ Head {
+ file: PathBuf,
+ #[arg(short = 'n', long, default_value_t = 10)]
+ num: usize,
+ #[arg(short, long)]
+ columns: Option<String>,
+ #[arg(long)]
+ r#where: Option<String>,
+ #[arg(long)]
+ json: bool,
+ },
+ /// Print the total row count.
+ Count {
+ file: PathBuf,
+ #[arg(long)]
+ json: bool,
+ },
+ /// Print the file footer: version, buckets, compression, offsets.
+ Footer {
+ file: PathBuf,
+ #[arg(long)]
+ json: bool,
+ },
+ /// Print on-disk bytes per column (summed over row groups).
+ ColumnSize {
+ file: PathBuf,
+ /// Comma-separated columns to show (default: all).
+ #[arg(short, long)]
+ columns: Option<String>,
+ #[arg(long)]
+ json: bool,
+ },
+ /// Print the dictionary of a dict-encoded column.
+ Dictionary {
+ file: PathBuf,
+ /// Column name to dump.
+ #[arg(short = 'c', long)]
+ column: String,
+ #[arg(long)]
+ json: bool,
+ },
+ /// Print bucket layout per row group (Mosaic's column grouping).
+ Buckets {
+ file: PathBuf,
+ #[arg(long)]
+ json: bool,
+ },
+ /// Import a CSV or JSON file into a new Mosaic file (schema inferred).
+ Convert {
+ /// Input: CSV (.csv, header row) or JSON lines (.json/.ndjson/.jsonl).
+ input: PathBuf,
+ /// Output .mosaic path.
+ #[arg(short, long)]
+ out: PathBuf,
+ /// Columns to build min/max stats for (comma-separated).
+ #[arg(long)]
+ stats: Option<String>,
+ /// Overwrite the output file if it already exists.
+ #[arg(long)]
+ overwrite: bool,
+ },
+}
+
+fn main() -> ExitCode {
+ let cli = Cli::parse();
+ let res = match cli.cmd {
+ Cmd::Schema { file, json } => schema(&file, json),
+ Cmd::Meta { file, json } => meta(&file, json),
+ Cmd::Pages {
+ file,
+ columns,
+ json,
+ } => pages(&file, columns, json),
+ Cmd::Cat {
+ file,
+ num,
+ columns,
+ r#where,
+ json,
+ } => cat(&file, num.unwrap_or(usize::MAX), columns, r#where, json),
+ Cmd::Head {
+ file,
+ num,
+ columns,
+ r#where,
+ json,
+ } => cat(&file, num, columns, r#where, json),
+ Cmd::Count { file, json } => count(&file, json),
+ Cmd::Footer { file, json } => footer(&file, json),
+ Cmd::ColumnSize {
+ file,
+ columns,
+ json,
+ } => column_size(&file, columns, json),
+ Cmd::Dictionary { file, column, json } => dictionary(&file, &column,
json),
+ Cmd::Buckets { file, json } => buckets(&file, json),
+ Cmd::Convert {
+ input,
+ out,
+ stats,
+ overwrite,
+ } => convert(&input, &out, stats, overwrite),
+ };
+ match res {
+ Ok(()) => ExitCode::SUCCESS,
+ Err(e) => {
+ eprintln!("error: {e}");
+ ExitCode::FAILURE
+ }
+ }
+}
+
+fn open(file: &Path) -> std::io::Result<MosaicReader<FileInput>> {
+ let input = FileInput::open(file)?;
+ let len = input.len();
+ MosaicReader::new(input, len)
+}
+
+/// Columns in original (write) order rather than the name-sorted layout.
+fn original_order(s: &paimon_mosaic_core::schema::MosaicSchema) -> Vec<usize> {
+ let mut by_sorted = vec![0usize; s.columns.len()];
+ for (orig, &sorted) in s.original_order.iter().enumerate() {
+ by_sorted[sorted] = orig;
+ }
+ let mut cols: Vec<usize> = (0..s.columns.len()).collect();
+ cols.sort_by_key(|&i| by_sorted[i]);
+ cols
+}
+
+/// Split a comma list into trimmed, non-empty names (e.g. `-c a, b,` -> [a,
b]).
+fn parse_comma_list(l: &str) -> Vec<String> {
+ l.split(',')
+ .map(str::trim)
+ .filter(|x| !x.is_empty())
+ .map(String::from)
+ .collect()
+}
+
+/// Parse a `-c a,b` list into a name set, or `None` for "all columns".
+fn col_filter(
+ columns: &Option<String>,
+ s: &paimon_mosaic_core::schema::MosaicSchema,
+) -> std::io::Result<Option<std::collections::HashSet<String>>> {
+ let Some(l) = columns else { return Ok(None) };
+ let set: std::collections::HashSet<String> =
parse_comma_list(l).into_iter().collect();
+ if let Some(bad) = set
+ .iter()
+ .find(|n| !s.columns.iter().any(|c| &c.name == *n))
+ {
+ return Err(std::io::Error::new(
+ std::io::ErrorKind::InvalidInput,
+ format!("column '{bad}' not found in schema"),
+ ));
+ }
+ Ok(Some(set))
+}
+
+/// True when `name` is selected by a `-c` set (`None` = all columns).
+fn selected(want: &Option<std::collections::HashSet<String>>, name: &str) ->
bool {
+ want.as_ref().is_none_or(|w| w.contains(name))
+}
+
+/// Add `total` across `cols`, distributing the remainder so the parts sum
exactly.
+fn split_evenly(total: usize, cols: &[usize], acc: &mut [usize]) {
+ if cols.is_empty() {
+ return;
+ }
+ let share = total / cols.len();
+ let mut rem = total % cols.len();
+ for &c in cols {
+ acc[c] += share
+ + if rem > 0 {
+ rem -= 1;
+ 1
+ } else {
+ 0
+ };
+ }
+}
+
+fn schema(file: &Path, json: bool) -> std::io::Result<()> {
+ let reader = open(file)?;
+ let s = reader.schema();
+ let cols = original_order(s);
+ if json {
+ let fields = cols
+ .iter()
+ .map(|&i| {
+ let c = &s.columns[i];
+ jsonout::SchemaField {
+ name: c.name.clone(),
+ ty: format!("{:?}", c.data_type),
+ nullable: c.nullable,
+ bucket: c.bucket_id as u32,
+ }
+ })
+ .collect();
+ println!(
+ "{}",
+ jsonout::line(&jsonout::Schema {
+ columns: s.columns.len(),
+ buckets: s.num_buckets,
+ fields,
+ })
+ );
+ return Ok(());
+ }
+ println!("{} columns, {} buckets", s.columns.len(), s.num_buckets);
+ for i in cols {
+ let c = &s.columns[i];
+ let null = if c.nullable { "" } else { " not null" };
+ println!(
+ " {}: {:?}{} [bucket {}]",
+ fmt::safe(&c.name),
+ c.data_type,
+ null,
+ c.bucket_id
+ );
+ }
+ Ok(())
+}
+
+fn meta(file: &Path, json: bool) -> std::io::Result<()> {
+ let reader = open(file)?;
+ let s = reader.schema();
+ let nrg = reader.num_row_groups();
+ let total: usize = (0..nrg)
+ .map(|i| reader.row_group_num_rows(i))
+ .sum::<std::io::Result<usize>>()?;
+ if json {
+ let mut row_groups = Vec::new();
+ for rg in 0..nrg {
+ let stats = reader
+ .row_group_stats(rg)?
+ .iter()
+ .map(|x| {
+ let (min, max) = match (&x.min, &x.max) {
+ (Some(lo), Some(hi)) => {
+ (Some(fmt::render_json(lo)),
Some(fmt::render_json(hi)))
+ }
+ _ => (None, None),
+ };
+ jsonout::Stat {
+ column: s.columns[x.column_index].name.clone(),
+ nulls: x.null_count,
+ min,
+ max,
+ }
+ })
+ .collect();
+ row_groups.push(jsonout::MetaRg {
+ rows: reader.row_group_num_rows(rg)?,
+ stats,
+ });
+ }
+ println!(
+ "{}",
+ jsonout::line(&jsonout::Meta {
+ rows: total,
+ columns: s.columns.len(),
+ buckets: s.num_buckets,
+ row_groups,
+ })
+ );
+ return Ok(());
+ }
+ println!(
+ "file: {} rows, {} columns, {} buckets, {} row groups",
+ total,
+ s.columns.len(),
+ s.num_buckets,
+ nrg
+ );
+ for rg in 0..nrg {
+ println!("row group {rg}: {} rows", reader.row_group_num_rows(rg)?);
+ for st in reader.row_group_stats(rg)? {
+ let mm = match (&st.min, &st.max) {
+ (Some(lo), Some(hi)) => format!(
+ "min={} max={}",
+ fmt::render_value(lo),
+ fmt::render_value(hi)
+ ),
+ _ => "no min/max".to_string(),
+ };
+ println!(
+ " {}: nulls={} {}",
+ fmt::safe(&s.columns[st.column_index].name),
+ st.null_count,
+ mm
+ );
+ }
+ }
+ Ok(())
+}
+
+fn pages(file: &Path, columns: Option<String>, json: bool) ->
std::io::Result<()> {
+ let reader = open(file)?;
+ let s = reader.schema();
+ let want = col_filter(&columns, s)?;
+ let nrg = reader.num_row_groups();
+ if json {
+ let mut row_groups = Vec::new();
+ for rg in 0..nrg {
+ let pgs = reader
Review Comment:
`-c/--columns` is currently only an output filter: `page_infos(rg)` has
already inspected every column. In parquet-cli, column selection is applied
before page iteration, so `pages -c one_col` avoids scanning unrelated columns.
It would be better for the CLI to call a projected reader API, for example
`page_infos_projected(rg, selected_indices)`, so the option's semantics and
cost match the API surface.
##########
cli/src/main.rs:
##########
@@ -0,0 +1,789 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor license agreements. See the NOTICE file
+// distributed with this work for additional information
+// regarding copyright ownership. The ASF licenses this file
+// to you under the Apache License, Version 2.0 (the
+// "License"); you may not use this file except in compliance
+// with the License. You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing,
+// software distributed under the License is distributed on an
+// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+// KIND, either express or implied. See the License for the
+// specific language governing permissions and limitations
+// under the License.
+
+mod filter;
+mod fmt;
+mod input;
+mod jsonout;
+
+use std::path::{Path, PathBuf};
+use std::process::ExitCode;
+
+use arrow::array::RecordBatch;
+use clap::{Parser, Subcommand};
+use paimon_mosaic_core::reader::{MosaicReader, ReaderAccess};
+
+use crate::input::FileInput;
+
+/// Mosaic file inspector — the cat/meta/schema/pages toolkit (cf.
parquet-cli).
+#[derive(Parser)]
+#[command(name = "mosaic", version, about)]
+struct Cli {
+ #[command(subcommand)]
+ cmd: Cmd,
+}
+
+#[derive(Subcommand)]
+enum Cmd {
+ /// Print the column names, types, nullability and bucket assignment.
+ Schema {
+ file: PathBuf,
+ #[arg(long)]
+ json: bool,
+ },
+ /// Print row-group / bucket / stats metadata.
+ Meta {
+ file: PathBuf,
+ #[arg(long)]
+ json: bool,
+ },
+ /// Print per-column encoding and slot size for each row group.
+ Pages {
+ file: PathBuf,
+ /// Comma-separated columns to show (default: all).
+ #[arg(short, long)]
+ columns: Option<String>,
+ #[arg(long)]
+ json: bool,
+ },
+ /// Print all rows as a table (use -n to limit).
+ Cat {
+ file: PathBuf,
+ /// Limit to N rows (default: all).
+ #[arg(short = 'n', long)]
+ num: Option<usize>,
+ /// Comma-separated columns to project.
+ #[arg(short, long)]
+ columns: Option<String>,
+ /// Row filter, e.g. `id>100` or `kind=a` (one condition).
+ #[arg(long)]
+ r#where: Option<String>,
+ #[arg(long)]
+ json: bool,
+ },
+ /// Print the first N rows (default 10).
+ Head {
+ file: PathBuf,
+ #[arg(short = 'n', long, default_value_t = 10)]
+ num: usize,
+ #[arg(short, long)]
+ columns: Option<String>,
+ #[arg(long)]
+ r#where: Option<String>,
+ #[arg(long)]
+ json: bool,
+ },
+ /// Print the total row count.
+ Count {
+ file: PathBuf,
+ #[arg(long)]
+ json: bool,
+ },
+ /// Print the file footer: version, buckets, compression, offsets.
+ Footer {
+ file: PathBuf,
+ #[arg(long)]
+ json: bool,
+ },
+ /// Print on-disk bytes per column (summed over row groups).
+ ColumnSize {
+ file: PathBuf,
+ /// Comma-separated columns to show (default: all).
+ #[arg(short, long)]
+ columns: Option<String>,
+ #[arg(long)]
+ json: bool,
+ },
+ /// Print the dictionary of a dict-encoded column.
+ Dictionary {
+ file: PathBuf,
+ /// Column name to dump.
+ #[arg(short = 'c', long)]
+ column: String,
+ #[arg(long)]
+ json: bool,
+ },
+ /// Print bucket layout per row group (Mosaic's column grouping).
+ Buckets {
+ file: PathBuf,
+ #[arg(long)]
+ json: bool,
+ },
+ /// Import a CSV or JSON file into a new Mosaic file (schema inferred).
+ Convert {
+ /// Input: CSV (.csv, header row) or JSON lines (.json/.ndjson/.jsonl).
+ input: PathBuf,
+ /// Output .mosaic path.
+ #[arg(short, long)]
+ out: PathBuf,
+ /// Columns to build min/max stats for (comma-separated).
+ #[arg(long)]
+ stats: Option<String>,
+ /// Overwrite the output file if it already exists.
+ #[arg(long)]
+ overwrite: bool,
+ },
+}
+
+fn main() -> ExitCode {
+ let cli = Cli::parse();
+ let res = match cli.cmd {
+ Cmd::Schema { file, json } => schema(&file, json),
+ Cmd::Meta { file, json } => meta(&file, json),
+ Cmd::Pages {
+ file,
+ columns,
+ json,
+ } => pages(&file, columns, json),
+ Cmd::Cat {
+ file,
+ num,
+ columns,
+ r#where,
+ json,
+ } => cat(&file, num.unwrap_or(usize::MAX), columns, r#where, json),
+ Cmd::Head {
+ file,
+ num,
+ columns,
+ r#where,
+ json,
+ } => cat(&file, num, columns, r#where, json),
+ Cmd::Count { file, json } => count(&file, json),
+ Cmd::Footer { file, json } => footer(&file, json),
+ Cmd::ColumnSize {
+ file,
+ columns,
+ json,
+ } => column_size(&file, columns, json),
+ Cmd::Dictionary { file, column, json } => dictionary(&file, &column,
json),
+ Cmd::Buckets { file, json } => buckets(&file, json),
+ Cmd::Convert {
+ input,
+ out,
+ stats,
+ overwrite,
+ } => convert(&input, &out, stats, overwrite),
+ };
+ match res {
+ Ok(()) => ExitCode::SUCCESS,
+ Err(e) => {
+ eprintln!("error: {e}");
+ ExitCode::FAILURE
+ }
+ }
+}
+
+fn open(file: &Path) -> std::io::Result<MosaicReader<FileInput>> {
+ let input = FileInput::open(file)?;
+ let len = input.len();
+ MosaicReader::new(input, len)
+}
+
+/// Columns in original (write) order rather than the name-sorted layout.
+fn original_order(s: &paimon_mosaic_core::schema::MosaicSchema) -> Vec<usize> {
+ let mut by_sorted = vec![0usize; s.columns.len()];
+ for (orig, &sorted) in s.original_order.iter().enumerate() {
+ by_sorted[sorted] = orig;
+ }
+ let mut cols: Vec<usize> = (0..s.columns.len()).collect();
+ cols.sort_by_key(|&i| by_sorted[i]);
+ cols
+}
+
+/// Split a comma list into trimmed, non-empty names (e.g. `-c a, b,` -> [a,
b]).
+fn parse_comma_list(l: &str) -> Vec<String> {
+ l.split(',')
+ .map(str::trim)
+ .filter(|x| !x.is_empty())
+ .map(String::from)
+ .collect()
+}
+
+/// Parse a `-c a,b` list into a name set, or `None` for "all columns".
+fn col_filter(
+ columns: &Option<String>,
+ s: &paimon_mosaic_core::schema::MosaicSchema,
+) -> std::io::Result<Option<std::collections::HashSet<String>>> {
+ let Some(l) = columns else { return Ok(None) };
+ let set: std::collections::HashSet<String> =
parse_comma_list(l).into_iter().collect();
+ if let Some(bad) = set
+ .iter()
+ .find(|n| !s.columns.iter().any(|c| &c.name == *n))
+ {
+ return Err(std::io::Error::new(
+ std::io::ErrorKind::InvalidInput,
+ format!("column '{bad}' not found in schema"),
+ ));
+ }
+ Ok(Some(set))
+}
+
+/// True when `name` is selected by a `-c` set (`None` = all columns).
+fn selected(want: &Option<std::collections::HashSet<String>>, name: &str) ->
bool {
+ want.as_ref().is_none_or(|w| w.contains(name))
+}
+
+/// Add `total` across `cols`, distributing the remainder so the parts sum
exactly.
+fn split_evenly(total: usize, cols: &[usize], acc: &mut [usize]) {
+ if cols.is_empty() {
+ return;
+ }
+ let share = total / cols.len();
+ let mut rem = total % cols.len();
+ for &c in cols {
+ acc[c] += share
+ + if rem > 0 {
+ rem -= 1;
+ 1
+ } else {
+ 0
+ };
+ }
+}
+
+fn schema(file: &Path, json: bool) -> std::io::Result<()> {
+ let reader = open(file)?;
+ let s = reader.schema();
+ let cols = original_order(s);
+ if json {
+ let fields = cols
+ .iter()
+ .map(|&i| {
+ let c = &s.columns[i];
+ jsonout::SchemaField {
+ name: c.name.clone(),
+ ty: format!("{:?}", c.data_type),
+ nullable: c.nullable,
+ bucket: c.bucket_id as u32,
+ }
+ })
+ .collect();
+ println!(
+ "{}",
+ jsonout::line(&jsonout::Schema {
+ columns: s.columns.len(),
+ buckets: s.num_buckets,
+ fields,
+ })
+ );
+ return Ok(());
+ }
+ println!("{} columns, {} buckets", s.columns.len(), s.num_buckets);
+ for i in cols {
+ let c = &s.columns[i];
+ let null = if c.nullable { "" } else { " not null" };
+ println!(
+ " {}: {:?}{} [bucket {}]",
+ fmt::safe(&c.name),
+ c.data_type,
+ null,
+ c.bucket_id
+ );
+ }
+ Ok(())
+}
+
+fn meta(file: &Path, json: bool) -> std::io::Result<()> {
+ let reader = open(file)?;
+ let s = reader.schema();
+ let nrg = reader.num_row_groups();
+ let total: usize = (0..nrg)
+ .map(|i| reader.row_group_num_rows(i))
+ .sum::<std::io::Result<usize>>()?;
+ if json {
+ let mut row_groups = Vec::new();
+ for rg in 0..nrg {
+ let stats = reader
+ .row_group_stats(rg)?
+ .iter()
+ .map(|x| {
+ let (min, max) = match (&x.min, &x.max) {
+ (Some(lo), Some(hi)) => {
+ (Some(fmt::render_json(lo)),
Some(fmt::render_json(hi)))
+ }
+ _ => (None, None),
+ };
+ jsonout::Stat {
+ column: s.columns[x.column_index].name.clone(),
+ nulls: x.null_count,
+ min,
+ max,
+ }
+ })
+ .collect();
+ row_groups.push(jsonout::MetaRg {
+ rows: reader.row_group_num_rows(rg)?,
+ stats,
+ });
+ }
+ println!(
+ "{}",
+ jsonout::line(&jsonout::Meta {
+ rows: total,
+ columns: s.columns.len(),
+ buckets: s.num_buckets,
+ row_groups,
+ })
+ );
+ return Ok(());
+ }
+ println!(
+ "file: {} rows, {} columns, {} buckets, {} row groups",
+ total,
+ s.columns.len(),
+ s.num_buckets,
+ nrg
+ );
+ for rg in 0..nrg {
+ println!("row group {rg}: {} rows", reader.row_group_num_rows(rg)?);
+ for st in reader.row_group_stats(rg)? {
+ let mm = match (&st.min, &st.max) {
+ (Some(lo), Some(hi)) => format!(
+ "min={} max={}",
+ fmt::render_value(lo),
+ fmt::render_value(hi)
+ ),
+ _ => "no min/max".to_string(),
+ };
+ println!(
+ " {}: nulls={} {}",
+ fmt::safe(&s.columns[st.column_index].name),
+ st.null_count,
+ mm
+ );
+ }
+ }
+ Ok(())
+}
+
+fn pages(file: &Path, columns: Option<String>, json: bool) ->
std::io::Result<()> {
+ let reader = open(file)?;
+ let s = reader.schema();
+ let want = col_filter(&columns, s)?;
+ let nrg = reader.num_row_groups();
+ if json {
+ let mut row_groups = Vec::new();
+ for rg in 0..nrg {
+ let pgs = reader
+ .page_infos(rg)?
+ .iter()
+ .filter(|p| selected(&want, &s.columns[p.column_index].name))
+ .map(|p| jsonout::Page {
+ column: s.columns[p.column_index].name.clone(),
+ bucket: p.bucket,
+ encoding: fmt::encoding_name(p.encoding),
+ slot_size: p.slot_size,
+ })
+ .collect();
+ row_groups.push(pgs);
+ }
+ println!("{}", jsonout::line(&jsonout::Pages { row_groups }));
+ return Ok(());
+ }
+ for rg in 0..nrg {
+ println!("row group {rg}:");
+ for p in reader.page_infos(rg)? {
+ let c = &s.columns[p.column_index];
+ if !selected(&want, &c.name) {
+ continue;
+ }
+ println!(
+ " {}: bucket {} encoding={} slot={}B",
+ fmt::safe(&c.name),
+ p.bucket,
+ fmt::encoding_name(p.encoding),
+ p.slot_size
+ );
+ }
+ }
+ Ok(())
+}
+
+fn count(file: &Path, json: bool) -> std::io::Result<()> {
+ let reader = open(file)?;
+ let n: usize = (0..reader.num_row_groups())
+ .map(|i| reader.row_group_num_rows(i))
+ .sum::<std::io::Result<usize>>()?;
+ if json {
+ println!("{}", jsonout::line(&jsonout::Count { rows: n }));
+ } else {
+ println!("{}", n);
+ }
+ Ok(())
+}
+
+fn convert(
+ input: &Path,
+ out: &Path,
+ stats: Option<String>,
+ overwrite: bool,
+) -> std::io::Result<()> {
+ if out.exists() && !overwrite {
+ return Err(std::io::Error::new(
+ std::io::ErrorKind::AlreadyExists,
+ format!("{} exists (use --overwrite to replace)", out.display()),
+ ));
+ }
+ use arrow::error::ArrowError;
+ use paimon_mosaic_core::writer::{MosaicWriter, WriterOptions};
+ let bad = |e: ArrowError|
std::io::Error::new(std::io::ErrorKind::InvalidData, e.to_string());
+ let is_json = matches!(
+ input.extension().and_then(|e| e.to_str()),
+ Some("json") | Some("ndjson") | Some("jsonl")
+ );
+ // Infer schema, then build a batch iterator — CSV (header) or JSON (one
object per line).
+ type Batches = Box<dyn Iterator<Item = Result<RecordBatch, ArrowError>>>;
+ // Schema inference and the data reader each need their own pass over the
+ // file (inference consumes a reader), so open it twice via one helper.
+ let open =
+ || -> std::io::Result<_> {
Ok(std::io::BufReader::new(std::fs::File::open(input)?)) };
+ let (schema, reader): (arrow::datatypes::Schema, Batches) = if is_json {
+ let (schema, _) =
+ arrow::json::reader::infer_json_schema(&mut open()?,
None).map_err(bad)?;
+ let rd =
arrow::json::ReaderBuilder::new(std::sync::Arc::new(schema.clone()))
+ .build(open()?)
+ .map_err(bad)?;
+ (schema, Box::new(rd))
+ } else {
+ let (schema, _) = arrow::csv::reader::Format::default()
+ .with_header(true)
+ .infer_schema(open()?, None)
+ .map_err(bad)?;
+ let rd =
arrow::csv::ReaderBuilder::new(std::sync::Arc::new(schema.clone()))
+ .with_header(true)
+ .build(open()?)
+ .map_err(bad)?;
+ (schema, Box::new(rd))
+ };
+ let opts = WriterOptions {
+ stats_columns: stats.map(|s| parse_comma_list(&s)).unwrap_or_default(),
+ ..Default::default()
+ };
+ // Write to a temp file and rename on success, so a mid-stream failure
never
+ // leaves a truncated .mosaic in place.
+ let tmp = out.with_extension("mosaic.tmp");
+ let mut rows = 0;
+ let res = (|| {
+ let sink = paimon_mosaic_core::writer::FileSink::create(&tmp)?;
+ let mut w = MosaicWriter::new(sink, &schema, opts)?;
+ for batch in reader {
+ let batch = batch
+ .map_err(|e|
std::io::Error::new(std::io::ErrorKind::InvalidData, e.to_string()))?;
+ rows += batch.num_rows();
+ w.write_batch(&batch)?;
+ }
+ w.close()
+ })();
+ if let Err(e) = res {
+ let _ = std::fs::remove_file(&tmp);
+ return Err(e);
+ }
+ std::fs::rename(&tmp, out)?;
+ let plural = |n: usize, w: &str| {
+ if n == 1 {
+ format!("1 {w}")
+ } else {
+ format!("{n} {w}s")
+ }
+ };
+ println!(
+ "wrote {} ({}, {})",
+ out.display(),
+ plural(rows, "row"),
+ plural(schema.fields().len(), "column")
+ );
+ Ok(())
+}
+
+fn cat(
+ file: &Path,
+ num: usize,
+ columns: Option<String>,
+ filter: Option<String>,
+ json: bool,
+) -> std::io::Result<()> {
+ let mut reader = open(file)?;
+ let pred = filter
+ .as_deref()
+ .map(filter::parse_where)
+ .transpose()
+ .map_err(|e| std::io::Error::new(std::io::ErrorKind::InvalidInput,
e))?;
+ // The display columns; the filter column is read even if projected out,
then
+ // dropped before printing, so `--where` works on a hidden column.
+ let mut display: Vec<String> = Vec::new();
+ if let Some(list) = &columns {
+ display = parse_comma_list(list);
+ let mut read: Vec<&str> = display.iter().map(String::as_str).collect();
+ if let Some(p) = &pred {
+ if !read.contains(&p.column.as_str()) {
+ read.push(&p.column);
+ }
+ }
+ reader.project(&read)?;
+ }
+ // Column index of the filter target, for stats-based row-group skipping.
+ let pred_col = pred.as_ref().and_then(|p| {
+ reader
+ .schema()
+ .columns
+ .iter()
+ .position(|c| c.name == p.column)
+ });
+ let mut batches: Vec<RecordBatch> = Vec::new();
Review Comment:
Now that `cat` defaults to all rows, matching parquet-cli, the non-JSON path
should not collect every row group into `batches`. Parquet CLI streams records
as it reads them; this implementation makes `mosaic cat file` load the whole
file before printing. Could we either stream text output per batch/row group,
or reserve the global pretty table for bounded `head` / `-n` output?
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